diff --git a/.gitignore b/.gitignore index 918a251..4536aca 100644 --- a/.gitignore +++ b/.gitignore @@ -8,7 +8,6 @@ __pycache__/ # Distribution / packaging .Python -env/ build/ develop-eggs/ dist/ @@ -24,6 +23,7 @@ wheels/ *.egg-info/ .installed.cfg *.egg +MANIFEST # PyInstaller # Usually these files are written by a python script from a template @@ -45,6 +45,7 @@ nosetests.xml coverage.xml *.cover .hypothesis/ +.pytest_cache/ # Translations *.mo @@ -53,6 +54,7 @@ coverage.xml # Django stuff: *.log local_settings.py +db.sqlite3 # Flask stuff: instance/ @@ -79,13 +81,14 @@ celerybeat-schedule # SageMath parsed files *.sage.py -# dotenv +# Environments .env - -# virtualenv .venv +env/ venv/ ENV/ +env.bak/ +venv.bak/ # Spyder project settings .spyderproject @@ -100,8 +103,9 @@ ENV/ # mypy .mypy_cache/ -# Pycharm -.idea/ +*/TensorFlow_benchmark/src/* -################# -job.json \ No newline at end of file +*/.vscode/* +.vscode/settings.json + +.dev_env diff --git a/CNTK/Docker/cntk/Dockerfile b/CNTK/Docker/cntk/Dockerfile deleted file mode 100644 index 7333a48..0000000 --- a/CNTK/Docker/cntk/Dockerfile +++ /dev/null @@ -1,73 +0,0 @@ -# Ubuntu 16.04, CUDA 9.0 -FROM nvidia/cuda:9.0-runtime-ubuntu16.04 - -ARG CNTK_VERSION="2.5.1" -LABEL maintainer "MICROSOFT CORPORATION" \ - com.microsoft.cntk.version="$CNTK_VERSION" - -ENV CNTK_VERSION="$CNTK_VERSION" - -# Install CNTK as the default backend for Keras -ENV KERAS_BACKEND=cntk - -RUN apt-get update && apt-get install -y --no-install-recommends \ - # General - ca-certificates \ - wget \ - sudo \ - build-essential \ - openssh-client \ - openssh-server \ - && \ - # Clean-up - apt-get -y autoremove \ - && \ - rm -rf /var/lib/apt/lists/* - -# Get CNTK Binary Distribution -RUN CNTK_VERSION_DASHED=$(echo $CNTK_VERSION | tr . -) && \ - ([ "$CNTK_VERSION" != "2.4" ] || VERIFY_SHA256="true") && \ - CNTK_SHA256="8eebff81ef4111b2be5804303f1254cd20de5911a7678c8e64689e5c288dde40" && \ - wget -q https://cntk.ai/BinaryDrop/CNTK-${CNTK_VERSION_DASHED}-Linux-64bit-GPU.tar.gz && \ - ([ "$VERIFY_SHA256" != "true" ] || (echo "$CNTK_SHA256 CNTK-${CNTK_VERSION_DASHED}-Linux-64bit-GPU.tar.gz" | sha256sum --check --strict -)) && \ - tar -xzf CNTK-${CNTK_VERSION_DASHED}-Linux-64bit-GPU.tar.gz && \ - rm -f CNTK-${CNTK_VERSION_DASHED}-Linux-64bit-GPU.tar.gz && \ - /bin/bash /cntk/Scripts/install/linux/install-cntk.sh --py-version 35 --docker - -WORKDIR /root -ENV PATH /cntk/cntk/bin:/root/anaconda3/envs/cntk-py35/bin:$PATH -ENV LD_LIBRARY_PATH /cntk/cntk/lib:/cntk/cntk/dependencies/lib:$LD_LIBRARY_PATH - -# Install Open MPI -RUN mkdir /tmp/openmpi && \ - cd /tmp/openmpi && \ - wget https://www.open-mpi.org/software/ompi/v3.0/downloads/openmpi-3.0.0.tar.gz && \ - tar zxf openmpi-3.0.0.tar.gz && \ - cd openmpi-3.0.0 && \ - ./configure --enable-orterun-prefix-by-default && \ - make -j $(nproc) all && \ - make install && \ - ldconfig && \ - rm -rf /tmp/openmpi - -# Create a wrapper for OpenMPI to allow running as root by default -RUN mv /usr/local/bin/mpirun /usr/local/bin/mpirun.real && \ - echo '#!/bin/bash' > /usr/local/bin/mpirun && \ - echo 'mpirun.real --allow-run-as-root "$@"' >> /usr/local/bin/mpirun && \ - chmod a+x /usr/local/bin/mpirun - -# Configure OpenMPI to run good defaults: -# --bind-to none --map-by slot --mca btl_tcp_if_exclude lo,docker0 -RUN echo "hwloc_base_binding_policy = none" >> /usr/local/etc/openmpi-mca-params.conf && \ - echo "rmaps_base_mapping_policy = slot" >> /usr/local/etc/openmpi-mca-params.conf && \ - echo "btl_tcp_if_exclude = lo,docker0" >> /usr/local/etc/openmpi-mca-params.conf - -# Set default NCCL parameters -RUN echo NCCL_DEBUG=INFO >> /etc/nccl.conf && \ - echo NCCL_SOCKET_IFNAME=^docker0 >> /etc/nccl.conf - -# Allow OpenSSH to talk to containers without asking for confirmation -RUN cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && \ - echo " StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && \ - mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config - diff --git a/CNTK/Makefile b/CNTK/Makefile deleted file mode 100644 index 6ba80be..0000000 --- a/CNTK/Makefile +++ /dev/null @@ -1,9 +0,0 @@ -DATA_DIR:=/mnt/imagenet -PWD:=$(shell pwd) -FAKE:='False' -FAKE_DATA_LENGTH:=1281167 -image-open:=hoaphumanoid/cntk:distributed-openmpi3 -open-path:=$(PWD)/Docker/cntk -script:=\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_cntk.py -include ../include/build.mk - diff --git a/CNTK/src/imagenet_cntk.py b/CNTK/src/imagenet_cntk.py deleted file mode 100644 index 60ab6af..0000000 --- a/CNTK/src/imagenet_cntk.py +++ /dev/null @@ -1,309 +0,0 @@ -""" -Trains ResNet50 using CNTK. - -It requires the following env variables -AZ_BATCHAI_INPUT_TRAIN -AZ_BATCHAI_OUTPUT_MODEL - -This code is based on this example: -https://github.com/Microsoft/CNTK/blob/master/Examples/Image/Classification/ResNet/Python/TrainResNet_ImageNet_Distributed.py -""" - -from __future__ import print_function -import os -import numpy as np -import cntk as C -from cntk import input, cross_entropy_with_softmax, classification_error, Trainer, cntk_py -from cntk import data_parallel_distributed_learner, Communicator -from cntk.learners import momentum_sgd, learning_rate_schedule, momentum_schedule, UnitType -from cntk.io import UserMinibatchSource, StreamInformation, MinibatchData -from cntk.train.training_session import * -from cntk.debugging import * -from cntk.logging import * -import cntk.io.transforms as xforms -from resnet_models import create_imagenet_model_bottleneck -from sklearn.preprocessing import OneHotEncoder - -import logging - - -logger = logging.getLogger(__name__) - - -def _str_to_bool(in_str): - if 't' in in_str.lower(): - return True - else: - return False - - -# model dimensions -_WIDTH = 224 -_HEIGHT = 224 -_CHANNELS = 3 -_LR = 0.001 -_EPOCHS = os.getenv('EPOCHS', 1) -_BATCHSIZE = 32 -_MOMENTUM = 0.9 -_NUMCLASSES = 1000 -_MODELNAME = 'ResNet_ImageNet.model' -_NUMQUANTIZEDBITS = 32 -_WD = 0.0001 - - -_FAKE = _str_to_bool(os.getenv('FAKE', 'False')) -# How much fake data to simulate, default to size of imagenet dataset -_DATA_LENGTH = int(os.getenv('FAKE_DATA_LENGTH', 1281167)) -_DISTRIBUTED = _str_to_bool(os.getenv('DISTRIBUTED', 'False')) - - -def _get_progress_printer(): - pp = ProgressPrinter( - freq=100, - tag='Training', - log_to_file=None, - rank=Communicator.rank(), - gen_heartbeat=False, - num_epochs=_EPOCHS) - return pp - - -def create_image_mb_source(map_file, mean_file, train, total_number_of_samples): - if not os.path.exists(map_file) or not os.path.exists(mean_file): - raise RuntimeError("File '%s' or '%s' does not exist." % - (map_file, mean_file)) - - # transformation pipeline for the features has jitter/crop only when training - transforms = [] - if train: - transforms += [ - xforms.crop(crop_type='randomarea', - area_ratio=(0.08, 1.0), - aspect_ratio=(0.75, 1.3333), - jitter_type='uniratio') - ] - else: - transforms += [ - # test has no jitter - C.io.transforms.crop(crop_type='center', side_ratio=0.875) - ] - - transforms += [ - xforms.scale(width=_WIDTH, height=_HEIGHT, - channels=_CHANNELS, interpolations='cubic'), - xforms.mean(mean_file) - ] - - # deserializer - return C.io.MinibatchSource( - C.io.ImageDeserializer(map_file, C.io.StreamDefs( - # 1st col in mapfile referred to as 'image' - features=C.io.StreamDef(field='image', transforms=transforms), - labels=C.io.StreamDef(field='label', shape=_NUMCLASSES))), # and second as 'label' - randomize=train, - max_samples=total_number_of_samples, - multithreaded_deserializer=True) - - -class FakeDataSource(UserMinibatchSource): - """Fake data source - https://cntk.ai/pythondocs/Manual_How_to_create_user_minibatch_sources.html - """ - - def __init__(self, total_n_images, dim, channels, n_classes, seed=42): - self.dim = dim - self.total_n_images = total_n_images - self.channels = channels - self.n_classes = n_classes - self.seed = seed - self.fsi = StreamInformation(name='features', stream_id=0, storage_format='dense', - dtype=np.float32, shape=(self.channels, self.dim[0], self.dim[0],)) - self.lsi = StreamInformation( - name='labels', stream_id=1, storage_format='dense', dtype=np.float32, shape=(self.n_classes,)) - self.sample_count = 0 - self.next_seq_idx = 0 - super(FakeDataSource, self).__init__() - - def stream_infos(self): - """ - Override the stream_infos method of the base UserMinibatchSource class - to provide stream meta information. - """ - return [self.fsi, self.lsi] - - def next_minibatch(self, num_samples, number_of_workers=1, worker_rank=0, device=None): - """ - Override the next_minibatch method of the base UserMinibatchSource class - to provide minibatch data. - """ - np.random.seed(self.seed) - x = np.random.rand(num_samples, self.channels, - self.dim[0], self.dim[1]).astype(np.float32) - y = np.random.choice(self.n_classes, num_samples) - y = np.expand_dims(y, axis=-1) - enc = OneHotEncoder(n_values=self.n_classes, dtype=np.float32, - categorical_features='all') - fit = enc.fit(y) - y = fit.transform(y).toarray() - if self.sample_count + num_samples <= self.total_n_images: - self.sample_count += num_samples - self.next_seq_idx += num_samples - feature_data = C.Value(batch=x, device=device) - label_data = C.Value(batch=y, device=device) - res = { - self.fsi: MinibatchData(feature_data, num_samples, num_samples, False), - self.lsi: MinibatchData(label_data, num_samples, num_samples, False) - } - else: - res = {} - - return res - - def get_checkpoint_state(self): - return {'next_seq_idx': self.next_seq_idx} - - def restore_from_checkpoint(self, state): - self.next_seq_idx = state['next_seq_idx'] - - -def model_fn(): - # Input variables denoting the features and label data - graph_input = C.input_variable((_CHANNELS, _HEIGHT, _WIDTH)) - graph_label = C.input_variable((_NUMCLASSES)) - - with C.default_options(dtype=np.float32): - stride1x1 = (1, 1) - stride3x3 = (2, 2) - - # create model, and configure learning parameters for ResNet50 - z = create_imagenet_model_bottleneck(graph_input, [2, 3, 5, 2], - _NUMCLASSES, stride1x1, stride3x3) - - # loss and metric - ce = cross_entropy_with_softmax(z, graph_label) - errs = classification_error(z, graph_label, topN=1) - - return { - 'name': 'resnet50', - 'feature': graph_input, - 'label': graph_label, - 'ce': ce, - 'errs': errs, - 'output': z - } - - -# Create trainer -def create_trainer(network, minibatch_size, epoch_size, - learning_rate, momentum, l2_reg_weight, - num_quantization_bits): - lr_per_mb = [learning_rate] - - # Set learning parameters - lr_schedule = learning_rate_schedule( - lr_per_mb, epoch_size=epoch_size, unit=UnitType.minibatch) - mm_schedule = momentum_schedule(momentum) - local_learner = momentum_sgd(network['output'].parameters, - lr_schedule, - mm_schedule, - l2_regularization_weight=l2_reg_weight) - - # learner object - if _DISTRIBUTED: - learner = data_parallel_distributed_learner( - local_learner, - num_quantization_bits=num_quantization_bits, - distributed_after=0) - else: - learner = local_learner - - # logger - progress_printer = _get_progress_printer() - - return Trainer(network['output'], (network['ce'], network['errs']), learner, progress_printer) - - -def train_and_test(network, trainer, train_source, test_source, minibatch_size, - epoch_size, model_path): - - # define mapping from intput streams to network inputs - input_map = { - network['feature']: train_source.streams.features, - network['label']: train_source.streams.labels - } - if _DISTRIBUTED: - start_profiler(sync_gpu=True) - - training_session( - trainer=trainer, - mb_source=train_source, - mb_size=minibatch_size, - model_inputs_to_streams=input_map, - progress_frequency=epoch_size, - checkpoint_config=CheckpointConfig(frequency=epoch_size, - filename=os.path.join( - model_path, _MODELNAME), - restore=False) # , - # test_config=TestConfig(test_source, minibatch_size) - ).train() - if _DISTRIBUTED: - stop_profiler() - - -def main(): - model_path = os.getenv('AZ_BATCHAI_OUTPUT_MODEL') - - if _DISTRIBUTED: - minibatch_size = _BATCHSIZE * Communicator.num_workers() - else: - minibatch_size = _BATCHSIZE - - logger.info("Creating model ...") - network = model_fn() - - logger.info("Creating trainer ...") - trainer = create_trainer(network, - minibatch_size, - _DATA_LENGTH, - learning_rate=_LR, - momentum=_MOMENTUM, - l2_reg_weight=_WD, - num_quantization_bits=_NUMQUANTIZEDBITS) - - logger.info('Creating data sources ...') - if _FAKE: - logger.info("Using {} images of fake data".format(_DATA_LENGTH)) - train_source = FakeDataSource(total_n_images=_DATA_LENGTH, - dim=(_HEIGHT, _WIDTH), - channels=_CHANNELS, - n_classes=_NUMCLASSES) - test_source = None - else: - logging.info( - "Using ImageNet dataset with {} images".format(_DATA_LENGTH)) - data_path = os.getenv('AZ_BATCHAI_INPUT_TRAIN') - logger.info("model_path: {}".format(model_path)) - logger.info("data_path: {}".format(data_path)) - - mean_data = os.path.join(data_path, 'ImageNet1K_mean.xml') - train_data = os.path.join(data_path, 'train_map.txt') - test_data = os.path.join(data_path, 'val_map.txt') - train_source = create_image_mb_source( - train_data, mean_data, train=True, total_number_of_samples=_EPOCHS*_DATA_LENGTH) - test_source = create_image_mb_source( - test_data, mean_data, train=False, total_number_of_samples=C.io.FULL_DATA_SWEEP) - - logger.info("Training with minibatch size of {}".format(minibatch_size)) - train_and_test(network, trainer, train_source, test_source, - minibatch_size, _DATA_LENGTH, model_path) - - if _DISTRIBUTED: - # Must call MPI finalize when process exit without exceptions - Communicator.finalize() - - -if __name__ == '__main__': - logging.basicConfig(level=logging.INFO) - logger.info("Starting routine. Distributed mode={}".format(_DISTRIBUTED)) - main() - logger.info("Routine finished") diff --git a/CNTK/src/resnet_models.py b/CNTK/src/resnet_models.py deleted file mode 100644 index ed0c404..0000000 --- a/CNTK/src/resnet_models.py +++ /dev/null @@ -1,137 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. -# -# Licensed under the MIT license. See LICENSE.md file in the project root -# for full license information. -# ============================================================================== - -import numpy as np -from cntk.initializer import he_normal, normal -from cntk.layers import AveragePooling, MaxPooling, BatchNormalization, Convolution, Dense -from cntk.ops import element_times, relu - -# -# assembly components -# -def conv_bn(input, filter_size, num_filters, strides=(1, 1), init=he_normal(), bn_init_scale=1): - c = Convolution(filter_size, num_filters, activation=None, init=init, pad=True, strides=strides, bias=False)(input) - r = BatchNormalization(map_rank=1, normalization_time_constant=4096, use_cntk_engine=False, init_scale=bn_init_scale, disable_regularization=True)(c) - return r - -def conv_bn_relu(input, filter_size, num_filters, strides=(1, 1), init=he_normal()): - r = conv_bn(input, filter_size, num_filters, strides, init, 1) - return relu(r) - -# -# ResNet components -# -def resnet_basic(input, num_filters): - c1 = conv_bn_relu(input, (3, 3), num_filters) - c2 = conv_bn(c1, (3, 3), num_filters, bn_init_scale=1) - p = c2 + input - return relu(p) - -def resnet_basic_inc(input, num_filters, strides=(2, 2)): - c1 = conv_bn_relu(input, (3, 3), num_filters, strides) - c2 = conv_bn(c1, (3, 3), num_filters, bn_init_scale=1) - s = conv_bn(input, (1, 1), num_filters, strides) # Shortcut - p = c2 + s - return relu(p) - -def resnet_basic_stack(input, num_stack_layers, num_filters): - assert(num_stack_layers >= 0) - l = input - for _ in range(num_stack_layers): - l = resnet_basic(l, num_filters) - return l - -def resnet_bottleneck(input, out_num_filters, inter_out_num_filters): - c1 = conv_bn_relu(input, (1, 1), inter_out_num_filters) - c2 = conv_bn_relu(c1, (3, 3), inter_out_num_filters) - c3 = conv_bn(c2, (1, 1), out_num_filters, bn_init_scale=0) - p = c3 + input - return relu(p) - -def resnet_bottleneck_inc(input, out_num_filters, inter_out_num_filters, stride1x1, stride3x3): - c1 = conv_bn_relu(input, (1, 1), inter_out_num_filters, strides=stride1x1) - c2 = conv_bn_relu(c1, (3, 3), inter_out_num_filters, strides=stride3x3) - c3 = conv_bn(c2, (1, 1), out_num_filters, bn_init_scale=0) - stride = np.multiply(stride1x1, stride3x3) - s = conv_bn(input, (1, 1), out_num_filters, strides=stride) # Shortcut - p = c3 + s - return relu(p) - -def resnet_bottleneck_stack(input, num_stack_layers, out_num_filters, inter_out_num_filters): - assert(num_stack_layers >= 0) - l = input - for _ in range(num_stack_layers): - l = resnet_bottleneck(l, out_num_filters, inter_out_num_filters) - return l - -# -# Defines the residual network model for classifying images -# -def create_cifar10_model(input, num_stack_layers, num_classes): - c_map = [16, 32, 64] - - conv = conv_bn_relu(input, (3, 3), c_map[0]) - r1 = resnet_basic_stack(conv, num_stack_layers, c_map[0]) - - r2_1 = resnet_basic_inc(r1, c_map[1]) - r2_2 = resnet_basic_stack(r2_1, num_stack_layers-1, c_map[1]) - - r3_1 = resnet_basic_inc(r2_2, c_map[2]) - r3_2 = resnet_basic_stack(r3_1, num_stack_layers-1, c_map[2]) - - # Global average pooling and output - pool = AveragePooling(filter_shape=(8, 8), name='final_avg_pooling')(r3_2) - z = Dense(num_classes, init=normal(0.01))(pool) - return z - -def create_imagenet_model_basic(input, num_stack_layers, num_classes): - c_map = [64, 128, 256, 512] - - conv = conv_bn_relu(input, (7, 7), c_map[0], strides=(2, 2)) - pool1 = MaxPooling((3, 3), strides=(2, 2), pad=True)(conv) - r1 = resnet_basic_stack(pool1, num_stack_layers[0], c_map[0]) - - r2_1 = resnet_basic_inc(r1, c_map[1]) - r2_2 = resnet_basic_stack(r2_1, num_stack_layers[1], c_map[1]) - - r3_1 = resnet_basic_inc(r2_2, c_map[2]) - r3_2 = resnet_basic_stack(r3_1, num_stack_layers[2], c_map[2]) - - r4_1 = resnet_basic_inc(r3_2, c_map[3]) - r4_2 = resnet_basic_stack(r4_1, num_stack_layers[3], c_map[3]) - - # Global average pooling and output - pool = AveragePooling(filter_shape=(7, 7), name='final_avg_pooling')(r4_2) - z = Dense(num_classes, init=normal(0.01))(pool) - return z - -def create_imagenet_model_bottleneck(input, num_stack_layers, num_classes, stride1x1, stride3x3): - c_map = [64, 128, 256, 512, 1024, 2048] - - # conv1 and max pooling - conv1 = conv_bn_relu(input, (7, 7), c_map[0], strides=(2, 2)) - pool1 = MaxPooling((3,3), strides=(2,2), pad=True)(conv1) - - # conv2_x - r2_1 = resnet_bottleneck_inc(pool1, c_map[2], c_map[0], (1, 1), (1, 1)) - r2_2 = resnet_bottleneck_stack(r2_1, num_stack_layers[0], c_map[2], c_map[0]) - - # conv3_x - r3_1 = resnet_bottleneck_inc(r2_2, c_map[3], c_map[1], stride1x1, stride3x3) - r3_2 = resnet_bottleneck_stack(r3_1, num_stack_layers[1], c_map[3], c_map[1]) - - # conv4_x - r4_1 = resnet_bottleneck_inc(r3_2, c_map[4], c_map[2], stride1x1, stride3x3) - r4_2 = resnet_bottleneck_stack(r4_1, num_stack_layers[2], c_map[4], c_map[2]) - - # conv5_x - r5_1 = resnet_bottleneck_inc(r4_2, c_map[5], c_map[3], stride1x1, stride3x3) - r5_2 = resnet_bottleneck_stack(r5_1, num_stack_layers[3], c_map[5], c_map[3]) - - # Global average pooling and output - pool = AveragePooling(filter_shape=(7, 7), name='final_avg_pooling')(r5_2) - z = Dense(num_classes, init=normal(0.01))(pool) - return z diff --git a/Docker/dockerfile b/Docker/dockerfile deleted file mode 100644 index f721f16..0000000 --- a/Docker/dockerfile +++ /dev/null @@ -1,48 +0,0 @@ -FROM ubuntu:16.04 - -COPY environment.yml . - -RUN apt-get update && apt-get install -y --no-install-recommends \ - build-essential \ - ca-certificates \ - cmake \ - vim \ - wget \ - curl \ - gfortran \ - apt-transport-https \ - jq \ - locales \ - git \ - openssh-client && \ - rm -rf /var/lib/apt/lists/* - -RUN locale-gen en_US.UTF-8 -ENV LANG en_US.UTF-8 -ENV LANGUAGE en_US:en -ENV LC_ALL en_US.UTF-8 - -ENV ENV_NAME=py3.6 -RUN curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \ - chmod +x ~/miniconda.sh && \ - ~/miniconda.sh -b -p /opt/conda && \ - rm ~/miniconda.sh && \ - /opt/conda/bin/conda env create -q --name $ENV_NAME -f environment.yml && \ - /opt/conda/bin/conda clean -ya -ENV PATH /opt/conda/envs/$ENV_NAME/bin:/opt/conda/bin:$PATH - - -# Install Azure CLI -RUN echo "deb [arch=amd64] https://packages.microsoft.com/repos/azure-cli/ xenial main" | \ - tee /etc/apt/sources.list.d/azure-cli.list && \ - curl -L https://packages.microsoft.com/keys/microsoft.asc | apt-key add - && \ - apt-get update && \ - apt-get install -y --no-install-recommends \ - azure-cli - -# Install AzCopy -RUN echo "deb [arch=amd64] https://packages.microsoft.com/repos/microsoft-ubuntu-xenial-prod/ xenial main" > azure.list &&\ - cp ./azure.list /etc/apt/sources.list.d/ &&\ - apt-key adv --keyserver packages.microsoft.com --recv-keys B02C46DF417A0893 &&\ - apt-get update &&\ - apt-get install -y --no-install-recommends azcopy diff --git a/Docker/environment.yml b/Docker/environment.yml deleted file mode 100644 index e9b684d..0000000 --- a/Docker/environment.yml +++ /dev/null @@ -1,16 +0,0 @@ -channels: - - conda-forge -dependencies: - - python=3.6 - - numpy - - pyyaml - - scipy - - ipython - - pandas - - jupyter - - ipykernel - - scikit-learn - - selenium - - phantomjs - - pillow - - bokeh=0.13.0 \ No newline at end of file diff --git a/HorovodKeras/Docker/horovod-intel/Dockerfile b/HorovodKeras/Docker/horovod-intel/Dockerfile deleted file mode 100644 index 01e8f09..0000000 --- a/HorovodKeras/Docker/horovod-intel/Dockerfile +++ /dev/null @@ -1,63 +0,0 @@ -FROM nvidia/cuda:9.0-devel-ubuntu16.04 - -# TensorFlow version is tightly coupled to CUDA and cuDNN so it should be selected carefully -ENV TENSORFLOW_VERSION=1.8.0 -ENV CUDNN_VERSION=7.0.5.15-1+cuda9.0 -ENV PYTHON_VERSION=3.5 -ENV NCCL_VERSION=2.2.12-1+cuda9.0 - -RUN echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list - -RUN apt-get update && apt-get install -y --no-install-recommends \ - build-essential \ - cmake \ - cpio \ - git \ - curl \ - wget \ - ca-certificates \ - libdapl2 \ - libcudnn7=${CUDNN_VERSION} \ - libnccl2=${NCCL_VERSION} \ - libnccl-dev=${NCCL_VERSION} \ - libjpeg-dev \ - libpng-dev \ - libmlx4-1 \ - libsm6 \ - libxext6 \ - python$PYTHON_VERSION \ - python$PYTHON_VERSION-dev - - -# install intel MPI -RUN cd /tmp && \ - wget -q 'http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/11595/l_mpi_2017.3.196.tgz' && \ - tar zxvf l_mpi_2017.3.196.tgz && \ - sed -i -e 's/^ACCEPT_EULA=decline/ACCEPT_EULA=accept/g' /tmp/l_mpi_2017.3.196/silent.cfg && \ - sed -i -e 's|^#ACTIVATION_LICENSE_FILE=|ACTIVATION_LICENSE_FILE=/tmp/l_mpi_2017.3.196/USE_SERVER.lic|g' \ - /tmp/l_mpi_2017.3.196/silent.cfg && \ - sed -i -e 's/^ACTIVATION_TYPE=exist_lic/ACTIVATION_TYPE=license_server/g' /tmp/l_mpi_2017.3.196/silent.cfg && \ - cd /tmp/l_mpi_2017.3.196 && \ - ./install.sh -s silent.cfg && \ - cd .. && \ - rm -rf l_mpi_2017.3.196* && \ - echo "source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh" >> ~/.bashrc - -ENV PATH $PATH:/opt/intel/compilers_and_libraries/linux/mpi/bin64 - -RUN ln -s /usr/bin/python$PYTHON_VERSION /usr/bin/python - -RUN curl -O https://bootstrap.pypa.io/get-pip.py && \ - python get-pip.py && \ - rm get-pip.py - - -# Install TensorFlow and Keras -RUN pip install --no-cache-dir tensorflow-gpu==$TENSORFLOW_VERSION h5py scipy jupyter ipykernel numpy toolz pandas \ - scikit-learn keras pillow - -# Install Horovod, temporarily using CUDA stubs -RUN ldconfig /usr/local/cuda-9.0/targets/x86_64-linux/lib/stubs && \ - /bin/bash -c "source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh" && \ - HOROVOD_WITH_TENSORFLOW=1 pip install --no-cache-dir horovod==0.13.2 && \ - ldconfig \ No newline at end of file diff --git a/HorovodKeras/Docker/horovod/Dockerfile b/HorovodKeras/Docker/horovod/Dockerfile deleted file mode 100644 index 26d47e1..0000000 --- a/HorovodKeras/Docker/horovod/Dockerfile +++ /dev/null @@ -1,79 +0,0 @@ -FROM nvidia/cuda:9.0-devel-ubuntu16.04 - -# TensorFlow version is tightly coupled to CUDA and cuDNN so it should be selected carefully -ENV TENSORFLOW_VERSION=1.8.0 -ENV CUDNN_VERSION=7.0.5.15-1+cuda9.0 -ENV NCCL_VERSION=2.2.12-1+cuda9.0 - -ENV PYTHON_VERSION=3.5 - -RUN echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list - -RUN apt-get update && apt-get install -y --no-install-recommends \ - build-essential \ - cmake \ - git \ - curl \ - nano \ - wget \ - ca-certificates \ - libcudnn7=$CUDNN_VERSION \ - libnccl2=$NCCL_VERSION \ - libnccl-dev=$NCCL_VERSION \ - libjpeg-dev \ - libpng-dev \ - python$PYTHON_VERSION \ - python$PYTHON_VERSION-dev - -RUN ln -s /usr/bin/python$PYTHON_VERSION /usr/bin/python - -RUN curl -O https://bootstrap.pypa.io/get-pip.py && \ - python get-pip.py && \ - rm get-pip.py - -# Install TensorFlow -RUN pip install --no-cache-dir tensorflow-gpu==$TENSORFLOW_VERSION h5py scipy jupyter ipykernel numpy toolz pandas scikit-learn keras pillow - -# Install Open MPI -RUN mkdir /tmp/openmpi && \ - cd /tmp/openmpi && \ - wget https://www.open-mpi.org/software/ompi/v3.0/downloads/openmpi-3.0.0.tar.gz && \ - tar zxf openmpi-3.0.0.tar.gz && \ - cd openmpi-3.0.0 && \ - ./configure --enable-orterun-prefix-by-default && \ - make -j $(nproc) all && \ - make install && \ - ldconfig && \ - rm -rf /tmp/openmpi - -# Install Horovod, temporarily using CUDA stubs -RUN ldconfig /usr/local/cuda-9.0/targets/x86_64-linux/lib/stubs && \ - HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_WITH_TENSORFLOW=1 pip install --no-cache-dir horovod==0.13.2 && \ - ldconfig - -# Create a wrapper for OpenMPI to allow running as root by default -RUN mv /usr/local/bin/mpirun /usr/local/bin/mpirun.real && \ - echo '#!/bin/bash' > /usr/local/bin/mpirun && \ - echo 'mpirun.real --allow-run-as-root "$@"' >> /usr/local/bin/mpirun && \ - chmod a+x /usr/local/bin/mpirun - -# Configure OpenMPI to run good defaults: -# --bind-to none --map-by slot --mca btl_tcp_if_exclude lo,docker0 -RUN echo "hwloc_base_binding_policy = none" >> /usr/local/etc/openmpi-mca-params.conf && \ - echo "rmaps_base_mapping_policy = slot" >> /usr/local/etc/openmpi-mca-params.conf && \ - echo "btl_tcp_if_exclude = lo,docker0" >> /usr/local/etc/openmpi-mca-params.conf - -# Set default NCCL parameters -RUN echo NCCL_DEBUG=INFO >> /etc/nccl.conf && \ - echo NCCL_SOCKET_IFNAME=^docker0 >> /etc/nccl.conf - -# Install OpenSSH for MPI to communicate between containers -RUN apt-get install -y --no-install-recommends openssh-client openssh-server && \ - mkdir -p /var/run/sshd - -# Allow OpenSSH to talk to containers without asking for confirmation -RUN cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && \ - echo " StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && \ - mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config - -WORKDIR "/examples" diff --git a/HorovodKeras/Makefile b/HorovodKeras/Makefile deleted file mode 100644 index 684e6ff..0000000 --- a/HorovodKeras/Makefile +++ /dev/null @@ -1,13 +0,0 @@ -DATA_DIR:=/mnt/imagenet -PWD:=$(shell pwd) -FAKE:='False' -FAKE_DATA_LENGTH:=1281167 -name_prefix:=masalvar -tag:=9-1.8-.13.2 # Cuda - TF version - Horovod version -image-intel:=$(name_prefix)/horovod-intel-keras:$(tag) -intel-path:=$(PWD)/Docker/horovod-intel -image-open:=$(name_prefix)/horovod-keras:$(tag) -open-path:=$(PWD)/Docker/horovod -script:=\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py -include ../include/build.mk - diff --git a/HorovodKeras/src/data_generator.py b/HorovodKeras/src/data_generator.py deleted file mode 100644 index 226e5b9..0000000 --- a/HorovodKeras/src/data_generator.py +++ /dev/null @@ -1,53 +0,0 @@ -import numpy as np -import keras -import logging - - -def _get_logger(): - return logging.getLogger(__name__) - -def _create_data(batch_size, num_batches, dim, channels, seed=42): - np.random.seed(42) - return np.random.rand(batch_size * num_batches, - dim[0], - dim[1], - channels).astype(np.float32) - - -def _create_labels(batch_size, num_batches, n_classes): - return np.random.choice(n_classes, batch_size * num_batches) - - - -class FakeDataGenerator(keras.preprocessing.image.Iterator): - - def __init__(self, - batch_size=32, - num_batches=20, - dim=(224, 224), - n_channels=3, - n_classes=10, - length=1000, - shuffle=True, - seed=42): - - 'Initialization' - super(FakeDataGenerator, self).__init__(length, - batch_size, - shuffle, - seed) - self.dim = dim - self.n_channels = n_channels - self.n_classes = n_classes - self.num_batches = num_batches - self._data = _create_data(self.batch_size, self.num_batches, self.dim, self.n_channels) - self._labels = _create_labels(self.batch_size, self.num_batches, self.n_classes) - self.translation_index = np.random.choice(len(self._labels), length) - - - def _get_batches_of_transformed_samples(self, index_array): - logger = _get_logger() - logger.debug('Retrieving samples') - logger.debug(str(index_array)) - tr_index_array = self.translation_index[index_array] - return self._data[tr_index_array], keras.utils.to_categorical(self._labels[tr_index_array], num_classes=self.n_classes) \ No newline at end of file diff --git a/HorovodKeras/src/imagenet_keras_horovod.py b/HorovodKeras/src/imagenet_keras_horovod.py deleted file mode 100644 index 4478bd9..0000000 --- a/HorovodKeras/src/imagenet_keras_horovod.py +++ /dev/null @@ -1,314 +0,0 @@ -""" -Trains ResNet50 in Keras using Horovod. - -It requires the following env variables -AZ_BATCHAI_INPUT_TRAIN -AZ_BATCHAI_INPUT_TEST -AZ_BATCHAI_OUTPUT_MODEL -AZ_BATCHAI_JOB_TEMP_DIR -""" -import logging -import sys -from functools import lru_cache - -from data_generator import FakeDataGenerator - -from timer import Timer - -import keras -from keras import backend as K -from keras.preprocessing import image -import tensorflow as tf -import os - - -def _str_to_bool(in_str): - if 't' in in_str.lower(): - return True - else: - return False - -_WIDTH = 224 -_HEIGHT = 224 -_CHANNELS = 3 -_LR = 0.001 -_EPOCHS = os.getenv('EPOCHS', 1) -_BATCHSIZE = 64 -_R_MEAN = 123.68 -_G_MEAN = 116.78 -_B_MEAN = 103.94 - -# Settings from https://arxiv.org/abs/1706.02677. -_WARMUP_EPOCHS = 5 -_WEIGHT_DECAY = 0.00005 - -_NUM_WORKERS=int(os.getenv('NUM_WORKERS', 10)) -_MAX_QUEUE_SIZE=int(os.getenv('MAX_QUEUE_SIZE', 10)) -_MULTIPROCESSING=_str_to_bool(os.getenv('MULTIPROCESSING', 'False')) -_DISTRIBUTED = _str_to_bool(os.getenv('DISTRIBUTED', 'False')) -_FAKE = _str_to_bool(os.getenv('FAKE', 'False')) -_DATA_LENGTH = int(os.getenv('FAKE_DATA_LENGTH', 1281167)) # How much fake data to simulate, default to size of imagenet dataset -_VALIDATION = _str_to_bool(os.getenv('VALIDATION', 'False')) - - -if _DISTRIBUTED: - import horovod.keras as hvd - -def _get_rank(): - if _DISTRIBUTED: - try: - return hvd.rank() - except: - return 0 - else: - return 0 - -class HorovodAdapter(logging.LoggerAdapter): - def __init__(self, logger): - self._str_epoch='' - self._gpu_rank=0 - super(HorovodAdapter, self).__init__(logger, {}) - - def set_epoch(self, epoch): - self._str_epoch='[Epoch {}]'.format(epoch) - - def process(self, msg, kwargs): - kwargs['extra'] = { - 'gpurank': _get_rank(), - 'epoch': self._str_epoch - } - return msg, kwargs - -@lru_cache() -def _get_logger(): - logger = logging.getLogger(__name__) - logger.setLevel(logging.INFO) - ch = logging.StreamHandler(stream=sys.stdout) - formatter = logging.Formatter('%(levelname)s:%(name)s:%(gpurank)d: %(epoch)s %(message)s') - ch.setFormatter(formatter) - logger.addHandler(ch) - adapter = HorovodAdapter(logger) - return adapter - -def _create_model(): - logger = _get_logger() - logger.info('Creating model') - # Set up standard ResNet-50 model. - model = keras.applications.resnet50.ResNet50(weights=None) - # ResNet-50 model that is included with Keras is optimized for inference. - # Add L2 weight decay & adjust BN settings. - model_config = model.get_config() - for layer, layer_config in zip(model.layers, model_config['layers']): - if hasattr(layer, 'kernel_regularizer'): - regularizer = keras.regularizers.l2(_WEIGHT_DECAY) - layer_config['config']['kernel_regularizer'] = \ - {'class_name': regularizer.__class__.__name__, - 'config': regularizer.get_config()} - if type(layer) == keras.layers.BatchNormalization: - layer_config['config']['momentum'] = 0.9 - layer_config['config']['epsilon'] = 1e-5 - model = keras.models.Model.from_config(model_config) - return model - - -def _validation_data_iterator_from(): - # Validation data iterator. - raise NotImplementedError('The flow from directory command expects data to be in directories and this is not implemented yet') - # test_gen = image.ImageDataGenerator( - # zoom_range=(0.875, 0.875), preprocessing_function=keras.applications.resnet50.preprocess_input) - # test_iter = test_gen.flow_from_directory(os.path.join(os.getenv('AZ_BATCHAI_INPUT_TEST'), 'validation'), batch_size=_BATCHSIZE, - # target_size=(224, 224)) - # return test_iter - - -def _training_data_iterator_from(): - # Training data iterator. - train_gen = image.ImageDataGenerator( - width_shift_range=0.33, height_shift_range=0.33, zoom_range=0.5, horizontal_flip=True, - preprocessing_function=keras.applications.resnet50.preprocess_input) - train_iter = train_gen.flow_from_directory(os.path.join(os.getenv('AZ_BATCHAI_INPUT_TRAIN'), 'train'), batch_size=_BATCHSIZE, - target_size=(224, 224)) - return train_iter - -def _fake_data_iterator_from(length=_DATA_LENGTH): - return FakeDataGenerator(batch_size=_BATCHSIZE, n_classes=1000, length=length) - - - -def _get_optimizer(params, is_distributed=_DISTRIBUTED): - if is_distributed: - # Horovod: adjust learning rate based on number of GPUs. - opt = keras.optimizers.SGD(lr=params['learning_rate'] * hvd.size(), momentum=params['momentum']) - # Horovod: add Horovod Distributed Optimizer. - return hvd.DistributedOptimizer(opt) - else: - return keras.optimizers.SGD(lr=params['learning_rate'], momentum=params['momentum']) - - -def _get_runconfig(is_distributed=_DISTRIBUTED): - if is_distributed: - # Horovod: pin GPU to be used to process local rank (one GPU per process) - config = tf.ConfigProto() - config.gpu_options.allow_growth = True - config.gpu_options.visible_device_list = str(hvd.local_rank()) - else: - config = tf.ConfigProto() - config.gpu_options.allow_growth = True - return config - -def _get_model_dir(is_distributed=_DISTRIBUTED): - if is_distributed: - # Horovod: save checkpoints only on worker 0 to prevent other workers from - # corrupting them. - return os.getenv('AZ_BATCHAI_OUTPUT_MODEL') if hvd.rank() == 0 else os.getenv('AZ_BATCHAI_JOB_TEMP_DIR') - else: - return os.getenv('AZ_BATCHAI_OUTPUT_MODEL') - - -def _get_hooks(is_distributed=_DISTRIBUTED, verbose=1): - logger = _get_logger() - if is_distributed: - logger.info('Rank: {} Cluster Size {}'.format(hvd.local_rank(), hvd.size())) - return [ - # Horovod: broadcast initial variable states from rank 0 to all other processes. - # This is necessary to ensure consistent initialization of all workers when - # training is started with random weights or restored from a checkpoint. - hvd.callbacks.BroadcastGlobalVariablesCallback(0), - - # Horovod: average metrics among workers at the end of every epoch. - # - # Note: This callback must be in the list before the ReduceLROnPlateau, - # TensorBoard, or other metrics-based callbacks. - hvd.callbacks.MetricAverageCallback(), - - # Horovod: using `lr = 1.0 * hvd.size()` from the very beginning leads to worse final - # accuracy. Scale the learning rate `lr = 1.0` ---> `lr = 1.0 * hvd.size()` during - # the first five epochs. See https://arxiv.org/abs/1706.02677 for details. - hvd.callbacks.LearningRateWarmupCallback(warmup_epochs=_WARMUP_EPOCHS, verbose=verbose), - - # Horovod: after the warmup reduce learning rate by 10 on the 30th, 60th and 80th epochs. - hvd.callbacks.LearningRateScheduleCallback(start_epoch=_WARMUP_EPOCHS, end_epoch=30, multiplier=1.), - hvd.callbacks.LearningRateScheduleCallback(start_epoch=30, end_epoch=60, multiplier=1e-1), - hvd.callbacks.LearningRateScheduleCallback(start_epoch=60, end_epoch=80, multiplier=1e-2), - hvd.callbacks.LearningRateScheduleCallback(start_epoch=80, multiplier=1e-3), - ] - else: - return [] - -class LoggerCallback(keras.callbacks.Callback): - - def __init__(self, logger, data_length): - self._timer = Timer(output=logger.info, prefix="Epoch duration: ", fmt="{:.3f} seconds") - self._data_length=data_length - - def on_epoch_begin(self, epoch, logs): - logger = _get_logger() - logger.set_epoch(epoch) - self._timer.start() - - def on_epoch_end(self, epoch, logs): - duration = self._timer.elapsed - _log_summary(self._data_length, duration) - -def _is_master(is_distributed=_DISTRIBUTED): - if is_distributed: - if hvd.rank() == 0: - return True - else: - return False - else: - return True - -def _log_summary(data_length, duration): - logger = _get_logger() - images_per_second = data_length / duration - logger.info('Data length: {}'.format(data_length)) - logger.info('Total duration: {:.3f}'.format(duration)) - logger.info('Total images/sec: {:.3f}'.format(images_per_second)) - logger.info('Batch size: (Per GPU {}: Total {})'.format(_BATCHSIZE, hvd.size()*_BATCHSIZE if _DISTRIBUTED else _BATCHSIZE)) - logger.info('Distributed: {}'.format('True' if _DISTRIBUTED else 'False')) - logger.info('Num GPUs: {:.3f}'.format(hvd.size() if _DISTRIBUTED else 1)) - logger.info('Dataset: {}'.format('Synthetic' if _FAKE else 'Imagenet')) - - -def main(): - verbose=1 - logger = _get_logger() - if _DISTRIBUTED: - # Horovod: initialize Horovod. - hvd.init() - logger.info("Runnin Distributed") - verbose = 1 if hvd.rank() == 0 else 0 - - logger.info("Tensorflow version {}".format(tf.__version__)) - K.set_session(tf.Session(config=_get_runconfig())) - - # Horovod: broadcast resume_from_epoch from rank 0 (which will have - # checkpoints) to other ranks. - resume_from_epoch = 0 - if _DISTRIBUTED: - resume_from_epoch = hvd.broadcast(resume_from_epoch, 0, name='resume_from_epoch') - - if _FAKE: - train_iter = _fake_data_iterator_from() - else: - train_iter = _training_data_iterator_from() - test_iter = _validation_data_iterator_from() if _VALIDATION else None - - model = _create_model() - - params = { - 'learning_rate':_LR, - 'momentum': 0.9 - } - - opt = _get_optimizer(params) - model.compile(loss=keras.losses.categorical_crossentropy, - optimizer=opt, - metrics=['accuracy', 'top_k_categorical_accuracy']) - - - model_dir = _get_model_dir() - checkpoint_format = os.path.join(model_dir, 'checkpoint-{epoch}.h5') - - callbacks = _get_hooks() - callbacks.append(LoggerCallback(logger, len(train_iter)*_BATCHSIZE)) - - # Horovod: save checkpoints only on the first worker to prevent other workers from corrupting them. - if _is_master(): - callbacks.append(keras.callbacks.ModelCheckpoint(checkpoint_format)) - # callbacks.append(keras.callbacks.TensorBoard(log_dir)) - - # Restore from a previous checkpoint, if initial_epoch is specified. - # Horovod: restore on the first worker which will broadcast weights to other workers. - if resume_from_epoch > 0 and _is_master(): - model.load_weights(checkpoint_format.format(epoch=resume_from_epoch)) - - logger.info('Training...') - # Train the model. The training will randomly sample 1 / N batches of training data and - # 3 / N batches of validation data on every worker, where N is the number of workers. - # Over-sampling of validation data helps to increase probability that every validation - # example will be evaluated. - num_workers = hvd.size() if _DISTRIBUTED else 1 - model.fit_generator(train_iter, - steps_per_epoch=len(train_iter) // num_workers, - callbacks=callbacks, - epochs=_EPOCHS, - verbose=verbose, - workers=_NUM_WORKERS, - max_queue_size=_MAX_QUEUE_SIZE, - use_multiprocessing=_MULTIPROCESSING, - initial_epoch=resume_from_epoch) - - if _FAKE is False and _VALIDATION: - # Evaluate the model on the full data set. - with Timer(output=logger.info, prefix="Testing"): - logger.info('Testing...') - score = hvd.allreduce(model.evaluate_generator(test_iter, len(test_iter), workers=10)) - if verbose: - print('Test loss:', score[0]) - print('Test accuracy:', score[1]) - - -if __name__ == '__main__': - main() diff --git a/HorovodPytorch/Docker/horovod-intel/Dockerfile b/HorovodPytorch/Docker/horovod-intel/Dockerfile deleted file mode 100644 index 74101e6..0000000 --- a/HorovodPytorch/Docker/horovod-intel/Dockerfile +++ /dev/null @@ -1,69 +0,0 @@ -FROM nvidia/cuda:9.0-devel-ubuntu16.04 - -# TensorFlow version is tightly coupled to CUDA and cuDNN so it should be selected carefully -ENV PYTORCH_VERSION=0.4.0 -ENV CUDNN_VERSION=7.0.5.15-1+cuda9.0 -ENV NCCL_VERSION=2.2.12-1+cuda9.0 - -ENV PYTHON_VERSION=3.5 - -RUN echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list - -RUN apt-get update && apt-get install -y --no-install-recommends \ - build-essential \ - cmake \ - cpio \ - git \ - curl \ - wget \ - ca-certificates \ - libdapl2 \ - libcudnn7=${CUDNN_VERSION} \ - libnccl2=${NCCL_VERSION} \ - libnccl-dev=${NCCL_VERSION} \ - libjpeg-dev \ - libpng-dev \ - libmlx4-1 \ - libsm6 \ - libxext6 \ - python${PYTHON_VERSION} \ - python${PYTHON_VERSION}-dev - -# install intel MPI -RUN cd /tmp && \ - wget -q 'http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/11595/l_mpi_2017.3.196.tgz' && \ - tar zxvf l_mpi_2017.3.196.tgz && \ - sed -i -e 's/^ACCEPT_EULA=decline/ACCEPT_EULA=accept/g' /tmp/l_mpi_2017.3.196/silent.cfg && \ - sed -i -e 's|^#ACTIVATION_LICENSE_FILE=|ACTIVATION_LICENSE_FILE=/tmp/l_mpi_2017.3.196/USE_SERVER.lic|g' /tmp/l_mpi_2017.3.196/silent.cfg && \ - sed -i -e 's/^ACTIVATION_TYPE=exist_lic/ACTIVATION_TYPE=license_server/g' /tmp/l_mpi_2017.3.196/silent.cfg && \ - cd /tmp/l_mpi_2017.3.196 && \ - ./install.sh -s silent.cfg && \ - cd .. && \ - rm -rf l_mpi_2017.3.196* && \ - echo "source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh" >> ~/.bashrc - -ENV PATH $PATH:/opt/intel/compilers_and_libraries/linux/mpi/bin64 - -RUN ln -s /usr/bin/python$PYTHON_VERSION /usr/bin/python - -RUN curl -O https://bootstrap.pypa.io/get-pip.py && \ - python get-pip.py && \ - rm get-pip.py - -## Install PyTorch -#RUN PY=$(echo ${PYTHON_VERSION} | sed s/\\.//); \ -# if [[ ${PYTHON_VERSION} == 3* ]]; then \ -# pip install http://download.pytorch.org/whl/cu90/torch-${PYTORCH_VERSION}-cp${PY}-cp${PY}m-linux_x86_64.whl; \ -# else \ -# pip install http://download.pytorch.org/whl/cu90/torch-${PYTORCH_VERSION}-cp${PY}-cp${PY}mu-linux_x86_64.whl; \ -# fi; \ - -# Install PyTorch -RUN pip install http://download.pytorch.org/whl/cu90/torch-0.4.0-cp35-cp35m-linux_x86_64.whl && \ - pip install --no-cache-dir torchvision h5py scipy jupyter ipykernel numpy toolz pandas scikit-learn pillow - -# Install Horovod, temporarily using CUDA stubs -RUN ldconfig /usr/local/cuda-9.0/targets/x86_64-linux/lib/stubs && \ - /bin/bash -c "source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh" && \ - HOROVOD_WITH_PYTORCH=1 pip install --no-cache-dir horovod==0.13.8 && \ - ldconfig \ No newline at end of file diff --git a/HorovodPytorch/Docker/horovod/Dockerfile b/HorovodPytorch/Docker/horovod/Dockerfile deleted file mode 100644 index 4b7e053..0000000 --- a/HorovodPytorch/Docker/horovod/Dockerfile +++ /dev/null @@ -1,82 +0,0 @@ -FROM nvidia/cuda:9.0-devel-ubuntu16.04 - -# TensorFlow version is tightly coupled to CUDA and cuDNN so it should be selected carefully -ENV TENSORFLOW_VERSION=1.8.0 -ENV PYTORCH_VERSION=0.4.0 -ENV CUDNN_VERSION=7.0.5.15-1+cuda9.0 -ENV NCCL_VERSION=2.2.12-1+cuda9.0 - -ENV PYTHON_VERSION=3.5 - -RUN echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list - -RUN apt-get update && apt-get install -y --no-install-recommends \ - build-essential \ - cmake \ - git \ - curl \ - vim \ - wget \ - ca-certificates \ - libcudnn7=${CUDNN_VERSION} \ - libnccl2=${NCCL_VERSION} \ - libnccl-dev=${NCCL_VERSION} \ - libjpeg-dev \ - libpng-dev \ - python${PYTHON_VERSION} \ - python${PYTHON_VERSION}-dev - -RUN ln -s /usr/bin/python${PYTHON_VERSION} /usr/bin/python - -RUN curl -O https://bootstrap.pypa.io/get-pip.py && \ - python get-pip.py && \ - rm get-pip.py - - -# Install PyTorch -RUN pip install http://download.pytorch.org/whl/cu90/torch-0.4.0-cp35-cp35m-linux_x86_64.whl && \ - pip install --no-cache-dir torchvision h5py scipy jupyter ipykernel numpy toolz pandas scikit-learn pillow - -# Install Open MPI -RUN mkdir /tmp/openmpi && \ - cd /tmp/openmpi && \ - wget https://www.open-mpi.org/software/ompi/v3.0/downloads/openmpi-3.0.0.tar.gz && \ - tar zxf openmpi-3.0.0.tar.gz && \ - cd openmpi-3.0.0 && \ - ./configure --enable-orterun-prefix-by-default && \ - make -j $(nproc) all && \ - make install && \ - ldconfig && \ - rm -rf /tmp/openmpi - -# Install Horovod, temporarily using CUDA stubs -RUN ldconfig /usr/local/cuda-9.0/targets/x86_64-linux/lib/stubs && \ - HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_WITH_PYTORCH=1 pip install --no-cache-dir horovod==0.13.2 && \ - ldconfig - -# Create a wrapper for OpenMPI to allow running as root by default -RUN mv /usr/local/bin/mpirun /usr/local/bin/mpirun.real && \ - echo '#!/bin/bash' > /usr/local/bin/mpirun && \ - echo 'mpirun.real --allow-run-as-root "$@"' >> /usr/local/bin/mpirun && \ - chmod a+x /usr/local/bin/mpirun - -# Configure OpenMPI to run good defaults: -# --bind-to none --map-by slot --mca btl_tcp_if_exclude lo,docker0 -RUN echo "hwloc_base_binding_policy = none" >> /usr/local/etc/openmpi-mca-params.conf && \ - echo "rmaps_base_mapping_policy = slot" >> /usr/local/etc/openmpi-mca-params.conf #&& \ -# echo "btl_tcp_if_exclude = lo,docker0" >> /usr/local/etc/openmpi-mca-params.conf - -# Set default NCCL parameters -RUN echo NCCL_DEBUG=INFO >> /etc/nccl.conf && \ - echo NCCL_SOCKET_IFNAME=^docker0 >> /etc/nccl.conf - -# Install OpenSSH for MPI to communicate between containers -RUN apt-get install -y --no-install-recommends openssh-client openssh-server && \ - mkdir -p /var/run/sshd - -# Allow OpenSSH to talk to containers without asking for confirmation -RUN cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && \ - echo " StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && \ - mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config - -WORKDIR "/examples" \ No newline at end of file diff --git a/HorovodPytorch/Makefile b/HorovodPytorch/Makefile deleted file mode 100644 index 52c9476..0000000 --- a/HorovodPytorch/Makefile +++ /dev/null @@ -1,13 +0,0 @@ -DATA_DIR:=/mnt/imagenet -PWD:=$(shell pwd) -FAKE:='False' -FAKE_DATA_LENGTH:=1281167 -name_prefix:=masalvar -tag:=9-1.8-.13.2 # Cuda - TF version - Horovod version -image-intel:=$(name_prefix)/horovod-intel-pytorch:$(tag) -intel-path:=$(PWD)/Docker/horovod-intel -image-open:=$(name_prefix)/horovod-pytorch:$(tag) -open-path:=$(PWD)/Docker/horovod -script:=\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_horovod.py -include ../include/build.mk - diff --git a/HorovodPytorch/src/imagenet_pytorch_horovod.py b/HorovodPytorch/src/imagenet_pytorch_horovod.py deleted file mode 100644 index a52cd26..0000000 --- a/HorovodPytorch/src/imagenet_pytorch_horovod.py +++ /dev/null @@ -1,328 +0,0 @@ -""" -Trains ResNet50 in Keras using Horovod. - -It requires the following env variables -AZ_BATCHAI_INPUT_TRAIN -AZ_BATCHAI_INPUT_TEST -AZ_BATCHAI_OUTPUT_MODEL -AZ_BATCHAI_JOB_TEMP_DIR -""" -import logging -import sys -from functools import lru_cache - -from timer import Timer -import numpy as np -import os -from PIL import Image - -import torch.optim as optim -from torchvision import transforms -import torch.utils.data.distributed -import torch.backends.cudnn as cudnn -import torchvision.models as models -from os import path -import pandas as pd -from torch.utils.data import Dataset -import torch.nn.functional as F - -def _str_to_bool(in_str): - if 't' in in_str.lower(): - return True - else: - return False - -_WIDTH = 224 -_HEIGHT = 224 -_CHANNELS = 3 -_LR = 0.001 -_EPOCHS = os.getenv('EPOCHS', 1) -_BATCHSIZE = 64 -_RGB_MEAN = [0.485, 0.456, 0.406] -_RGB_SD = [0.229, 0.224, 0.225] -_SEED=42 - -# Settings from https://arxiv.org/abs/1706.02677. -_WARMUP_EPOCHS = 5 -_WEIGHT_DECAY = 0.00005 - -_FAKE = _str_to_bool(os.getenv('FAKE', 'False')) -_DATA_LENGTH = int(os.getenv('FAKE_DATA_LENGTH', 1281167)) # How much fake data to simulate, default to size of imagenet dataset -_DISTRIBUTED = _str_to_bool(os.getenv('DISTRIBUTED', 'False')) - -if _DISTRIBUTED: - import horovod.torch as hvd - - -def _get_rank(): - if _DISTRIBUTED: - try: - return hvd.rank() - except: - return 0 - else: - return 0 - - -class HorovodAdapter(logging.LoggerAdapter): - def __init__(self, logger): - self._str_epoch='' - self._gpu_rank=0 - super(HorovodAdapter, self).__init__(logger, {}) - - def set_epoch(self, epoch): - self._str_epoch='[Epoch {}]'.format(epoch) - - def process(self, msg, kwargs): - kwargs['extra'] = { - 'gpurank': _get_rank(), - 'epoch': self._str_epoch - } - return msg, kwargs - - -@lru_cache() -def _get_logger(): - logger = logging.getLogger(__name__) - logger.setLevel(logging.INFO) - ch = logging.StreamHandler(stream=sys.stdout) - formatter = logging.Formatter('%(levelname)s:%(name)s:%(gpurank)d: %(epoch)s %(message)s') - ch.setFormatter(formatter) - logger.addHandler(ch) - adapter = HorovodAdapter(logger) - return adapter - - -def _append_path_to(data_path, data_series): - return data_series.apply(lambda x: path.join(data_path, x)) - - -def _load_training(data_dir): - logger = _get_logger() - logger.info('Reading training data from {}'.format(data_dir)) - train_df = pd.read_csv(path.join(data_dir, 'train.csv')) - return train_df.assign(filenames=_append_path_to(path.join(data_dir, 'train'), - train_df.filenames)) - -def _load_validation(data_dir): - logger = _get_logger() - logger.info('Reading validation data from {}'.format(data_dir)) - train_df = pd.read_csv(path.join(data_dir, 'validation.csv')) - return train_df.assign(filenames=_append_path_to(path.join(data_dir, 'validation'), - train_df.filenames)) - - -def _create_data_fn(train_path, test_path): - train_df = _load_training(train_path) - validation_df = _load_validation(test_path) - # File-path - train_X = train_df['filenames'].values - validation_X = validation_df['filenames'].values - # One-hot encoded labels for torch - train_labels = train_df[['num_id']].values.ravel() - validation_labels = validation_df[['num_id']].values.ravel() - # Index starts from 0 - train_labels -= 1 - validation_labels -= 1 - return train_X, train_labels, validation_X, validation_labels - - -class ImageNet(Dataset): - def __init__(self, img_locs, img_labels, transform=None): - logger = _get_logger() - self.img_locs, self.labels = img_locs, img_labels - self.transform = transform - logger.info("Loaded {} labels and {} images".format(len(np.unique(self.labels)), len(self.img_locs))) - - def __getitem__(self, idx): - im_file = self.img_locs[idx] - label = self.labels[idx] - with open(im_file, 'rb') as f: - im_rgb = Image.open(f) - # Make sure 3-channel (RGB) - im_rgb = im_rgb.convert('RGB') - if self.transform is not None: - im_rgb = self.transform(im_rgb) - return im_rgb, label - - def __len__(self): - return len(self.img_locs) - - -def _create_data(batch_size, num_batches, dim, channels, seed=42): - np.random.seed(seed) - return np.random.rand(batch_size * num_batches, - channels, - dim[0], - dim[1]).astype(np.float32) - - -def _create_labels(batch_size, num_batches, n_classes): - return np.random.choice(n_classes, batch_size * num_batches) - - - -class FakeData(Dataset): - def __init__(self, - batch_size=32, - num_batches=20, - dim=(224, 224), - n_channels=3, - n_classes=10, - length=_DATA_LENGTH, - seed=42, - data_transform=None): - self.dim = dim - self.n_channels = n_channels - self.n_classes = n_classes - self.num_batches = num_batches - self._data = _create_data(batch_size, self.num_batches, self.dim, self.n_channels) - self._labels = _create_labels(batch_size, self.num_batches, self.n_classes) - self.translation_index = np.random.choice(len(self._labels), length) - self._length=length - - self._data_transform = data_transform - logger = _get_logger() - logger.info("Creating fake data {} labels and {} images".format(n_classes, len(self._data))) - - def __getitem__(self, idx): - logger = _get_logger() - logger.debug('Retrieving samples') - logger.debug(str(idx)) - tr_index_array = self.translation_index[idx] - - if self._data_transform is not None: - data=self._data_transform(self._data[tr_index_array]) - else: - data=self._data[tr_index_array] - - return data, self._labels[tr_index_array] - - def __len__(self): - return self._length - - -def _is_master(is_distributed=_DISTRIBUTED): - if is_distributed: - if hvd.rank() == 0: - return True - else: - return False - else: - return True - - -def train(train_loader, model, criterion, optimizer, epoch): - logger = _get_logger() - msg = ' duration({}) loss:{} total-samples: {}' - t=Timer() - t.start() - logger.set_epoch(epoch) - for i, (data, target) in enumerate(train_loader): - data, target = data.cuda(non_blocking=True), target.cuda(non_blocking=True) - optimizer.zero_grad() - # compute output - output = model(data) - loss = criterion(output, target) - # compute gradient and do SGD step - loss.backward() - optimizer.step() - if i % 100 == 0: - logger.info(msg.format(t.elapsed, loss.item(), i * len(data))) - t.start() - - -def _log_summary(data_length, duration): - logger = _get_logger() - images_per_second = data_length / duration - logger.info('Data length: {}'.format(data_length)) - logger.info('Total duration: {:.3f}'.format(duration)) - logger.info('Total images/sec: {:.3f}'.format(images_per_second)) - logger.info('Batch size: (Per GPU {}: Total {})'.format(_BATCHSIZE, hvd.size()*_BATCHSIZE if _DISTRIBUTED else _BATCHSIZE)) - logger.info('Distributed: {}'.format('True' if _DISTRIBUTED else 'False')) - logger.info('Num GPUs: {:.3f}'.format(hvd.size() if _DISTRIBUTED else 1)) - logger.info('Dataset: {}'.format('Synthetic' if _FAKE else 'Imagenet')) - - -def _get_sampler(dataset, is_distributed=_DISTRIBUTED): - if is_distributed: - return torch.utils.data.distributed.DistributedSampler( - dataset, num_replicas=hvd.size(), rank=hvd.rank()) - else: - return torch.utils.data.sampler.RandomSampler(dataset) - - -def main(): - logger = _get_logger() - if _DISTRIBUTED: - # Horovod: initialize Horovod. - - hvd.init() - logger.info("Runnin Distributed") - torch.manual_seed(_SEED) - # Horovod: pin GPU to local rank. - torch.cuda.set_device(hvd.local_rank()) - torch.cuda.manual_seed(_SEED) - - logger.info("PyTorch version {}".format(torch.__version__)) - - if _FAKE: - logger.info("Setting up fake loaders") - train_dataset = FakeData(n_classes=1000, data_transform=torch.FloatTensor) - else: - normalize = transforms.Normalize(_RGB_MEAN, _RGB_SD) - - train_X, train_y, valid_X, valid_y = _create_data_fn(os.getenv('AZ_BATCHAI_INPUT_TRAIN'), os.getenv('AZ_BATCHAI_INPUT_TEST')) - - logger.info("Setting up loaders") - train_dataset = ImageNet( - train_X, - train_y, - transforms.Compose([ - transforms.RandomResizedCrop(_WIDTH), - transforms.RandomHorizontalFlip(), - transforms.ToTensor(), - normalize])) - - - train_sampler=_get_sampler(train_dataset) - kwargs = {'num_workers': 5, 'pin_memory': True} - train_loader = torch.utils.data.DataLoader( - train_dataset, batch_size=_BATCHSIZE, sampler=train_sampler, **kwargs) - - # Autotune - cudnn.benchmark = True - - logger.info("Loading model") - # Load symbol - model = models.__dict__['resnet50'](pretrained=False) - - model.cuda() - - if _DISTRIBUTED: - # Horovod: broadcast parameters. - hvd.broadcast_parameters(model.state_dict(), root_rank=0) - - num_gpus= hvd.size() if _DISTRIBUTED else 1 - # Horovod: scale learning rate by the number of GPUs. - optimizer = optim.SGD(model.parameters(), lr=_LR * num_gpus, - momentum=0.9) - if _DISTRIBUTED: - # Horovod: wrap optimizer with DistributedOptimizer. - optimizer = hvd.DistributedOptimizer( - optimizer, named_parameters=model.named_parameters()) - - criterion=F.cross_entropy - # Main training-loop - logger.info("Training ...") - for epoch in range(_EPOCHS): - with Timer(output=logger.info, prefix="Training") as t: - model.train() - if _DISTRIBUTED: - train_sampler.set_epoch(epoch) - train(train_loader, model, criterion, optimizer, epoch) - - _log_summary(len(train_dataset), t.elapsed) - -if __name__ == '__main__': - main() diff --git a/HorovodTF/Docker/horovod-intel/Dockerfile b/HorovodTF/Docker/horovod-intel/Dockerfile deleted file mode 100644 index 825ea73..0000000 --- a/HorovodTF/Docker/horovod-intel/Dockerfile +++ /dev/null @@ -1,59 +0,0 @@ -FROM nvidia/cuda:9.0-devel-ubuntu16.04 - -# TensorFlow version is tightly coupled to CUDA and cuDNN so it should be selected carefully -ENV TENSORFLOW_VERSION=1.8.0 -ENV CUDNN_VERSION=7.0.5.15-1+cuda9.0 -ENV PYTHON_VERSION=3.5 - -RUN echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list - -RUN apt-get update && apt-get install -y --no-install-recommends \ - build-essential \ - cmake \ - cpio \ - git \ - curl \ - wget \ - ca-certificates \ - libdapl2 \ - libcudnn7=$CUDNN_VERSION \ - libjpeg-dev \ - libpng-dev \ - libmlx4-1 \ - libsm6 \ - libxext6 \ - python$PYTHON_VERSION \ - python$PYTHON_VERSION-dev - - -# install intel MPI -RUN cd /tmp && \ - wget -q 'http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/11595/l_mpi_2017.3.196.tgz' && \ - tar zxvf l_mpi_2017.3.196.tgz && \ - sed -i -e 's/^ACCEPT_EULA=decline/ACCEPT_EULA=accept/g' /tmp/l_mpi_2017.3.196/silent.cfg && \ - sed -i -e 's|^#ACTIVATION_LICENSE_FILE=|ACTIVATION_LICENSE_FILE=/tmp/l_mpi_2017.3.196/USE_SERVER.lic|g' \ - /tmp/l_mpi_2017.3.196/silent.cfg && \ - sed -i -e 's/^ACTIVATION_TYPE=exist_lic/ACTIVATION_TYPE=license_server/g' /tmp/l_mpi_2017.3.196/silent.cfg && \ - cd /tmp/l_mpi_2017.3.196 && \ - ./install.sh -s silent.cfg && \ - cd .. && \ - rm -rf l_mpi_2017.3.196* && \ - echo "source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh" >> ~/.bashrc - -ENV PATH $PATH:/opt/intel/compilers_and_libraries/linux/mpi/bin64 - -RUN ln -s /usr/bin/python$PYTHON_VERSION /usr/bin/python - -RUN curl -O https://bootstrap.pypa.io/get-pip.py && \ - python get-pip.py && \ - rm get-pip.py - -# Install TensorFlow -RUN pip install --no-cache-dir tensorflow-gpu==$TENSORFLOW_VERSION h5py scipy jupyter ipykernel numpy toolz pandas \ - scikit-learn - -# Install Horovod, temporarily using CUDA stubs -RUN ldconfig /usr/local/cuda-9.0/targets/x86_64-linux/lib/stubs && \ - /bin/bash -c "source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh" && \ - HOROVOD_WITH_TENSORFLOW=1 pip install --no-cache-dir horovod==0.13.2 && \ - ldconfig \ No newline at end of file diff --git a/HorovodTF/Docker/horovod/Dockerfile b/HorovodTF/Docker/horovod/Dockerfile deleted file mode 100644 index fa7ab59..0000000 --- a/HorovodTF/Docker/horovod/Dockerfile +++ /dev/null @@ -1,78 +0,0 @@ -FROM nvidia/cuda:9.0-devel-ubuntu16.04 - -# TensorFlow version is tightly coupled to CUDA and cuDNN so it should be selected carefully -ENV TENSORFLOW_VERSION=1.8.0 -ENV CUDNN_VERSION=7.0.5.15-1+cuda9.0 -ENV NCCL_VERSION=2.2.12-1+cuda9.0 - -ENV PYTHON_VERSION=3.5 - -RUN echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list - -RUN apt-get update && apt-get install -y --no-install-recommends \ - build-essential \ - cmake \ - git \ - curl \ - nano \ - wget \ - ca-certificates \ - libcudnn7=$CUDNN_VERSION \ - libnccl2=$NCCL_VERSION \ - libnccl-dev=$NCCL_VERSION \ - libjpeg-dev \ - libpng-dev \ - python$PYTHON_VERSION \ - python$PYTHON_VERSION-dev - -RUN ln -s /usr/bin/python$PYTHON_VERSION /usr/bin/python - -RUN curl -O https://bootstrap.pypa.io/get-pip.py && \ - python get-pip.py && \ - rm get-pip.py - -# Install TensorFlow -RUN pip install --no-cache-dir tensorflow-gpu==$TENSORFLOW_VERSION h5py scipy jupyter ipykernel numpy toolz pandas scikit-learn - -# Install Open MPI -RUN mkdir /tmp/openmpi && \ - cd /tmp/openmpi && \ - wget https://www.open-mpi.org/software/ompi/v3.0/downloads/openmpi-3.0.0.tar.gz && \ - tar zxf openmpi-3.0.0.tar.gz && \ - cd openmpi-3.0.0 && \ - ./configure --enable-orterun-prefix-by-default && \ - make -j $(nproc) all && \ - make install && \ - ldconfig && \ - rm -rf /tmp/openmpi - -# Install Horovod, temporarily using CUDA stubs -RUN ldconfig /usr/local/cuda-9.0/targets/x86_64-linux/lib/stubs && \ - HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_WITH_TENSORFLOW=1 pip install --no-cache-dir horovod==0.13.2 && \ - ldconfig - -# Create a wrapper for OpenMPI to allow running as root by default -RUN mv /usr/local/bin/mpirun /usr/local/bin/mpirun.real && \ - echo '#!/bin/bash' > /usr/local/bin/mpirun && \ - echo 'mpirun.real --allow-run-as-root "$@"' >> /usr/local/bin/mpirun && \ - chmod a+x /usr/local/bin/mpirun - -# Configure OpenMPI to run good defaults: -# --bind-to none --map-by slot --mca btl_tcp_if_exclude lo,docker0 -RUN echo "hwloc_base_binding_policy = none" >> /usr/local/etc/openmpi-mca-params.conf && \ - echo "rmaps_base_mapping_policy = slot" >> /usr/local/etc/openmpi-mca-params.conf && \ - echo "btl_tcp_if_exclude = lo,docker0" >> /usr/local/etc/openmpi-mca-params.conf - -# Set default NCCL parameters -RUN echo NCCL_DEBUG=INFO >> /etc/nccl.conf && \ - echo NCCL_SOCKET_IFNAME=^docker0 >> /etc/nccl.conf - -# Install OpenSSH for MPI to communicate between containers -RUN apt-get install -y --no-install-recommends openssh-client openssh-server && \ - mkdir -p /var/run/sshd - -# Allow OpenSSH to talk to containers without asking for confirmation -RUN cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && \ - echo " StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && \ - mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config - diff --git a/HorovodTF/Makefile b/HorovodTF/Makefile deleted file mode 100644 index d8679e0..0000000 --- a/HorovodTF/Makefile +++ /dev/null @@ -1,14 +0,0 @@ - -DATA_DIR:=/mnt/imagenet -PWD:=$(shell pwd) -FAKE:='False' -FAKE_DATA_LENGTH:=1281167 -name_prefix:=masalvar -tag:=9-1.8-.13.2 # Cuda - TF version - Horovod version -image-intel:=$(name_prefix)/horovod-intel:$(tag) -intel-path:=$(PWD)/Docker/horovod-intel -image-open:=$(name_prefix)/horovod:$(tag) -open-path:=$(PWD)/Docker/horovod -script:=\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py -include ../include/build.mk - diff --git a/HorovodTF/src/imagenet_estimator_tf_horovod.py b/HorovodTF/src/imagenet_estimator_tf_horovod.py deleted file mode 100644 index a35afed..0000000 --- a/HorovodTF/src/imagenet_estimator_tf_horovod.py +++ /dev/null @@ -1,435 +0,0 @@ -""" -Trains ResNet50 using Horovod. - -It requires the following env variables -AZ_BATCHAI_INPUT_TRAIN -AZ_BATCHAI_INPUT_TEST -AZ_BATCHAI_OUTPUT_MODEL -AZ_BATCHAI_JOB_TEMP_DIR -""" -import logging -import sys -from functools import lru_cache - -import os -from os import path - -import pandas as pd -import tensorflow as tf -from resnet_model import resnet_v1 -from toolz import pipe -from timer import Timer -import numpy as np - -_WIDTH = 224 -_HEIGHT = 224 -_CHANNELS = 3 -_LR = 0.001 -_EPOCHS = os.getenv('EPOCHS', 1) -_BATCHSIZE = 64 -_R_MEAN = 123.68 -_G_MEAN = 116.78 -_B_MEAN = 103.94 -_BUFFER = 256 - - -def _str_to_bool(in_str): - if 't' in in_str.lower(): - return True - else: - return False - - -_DISTRIBUTED = _str_to_bool(os.getenv('DISTRIBUTED', 'False')) -_FAKE = _str_to_bool(os.getenv('FAKE', 'False')) -_DATA_LENGTH = int( - os.getenv('FAKE_DATA_LENGTH', 1281167)) # How much fake data to simulate, default to size of imagenet dataset -_VALIDATION = _str_to_bool(os.getenv('VALIDATION', 'False')) - -if _DISTRIBUTED: - import horovod.tensorflow as hvd - - -tf_logger = logging.getLogger('tensorflow') -tf_logger.setLevel(logging.INFO) -stout = logging.StreamHandler(stream=sys.stdout) -tf_logger.addHandler(stout) - -def _get_rank(): - if _DISTRIBUTED: - try: - return hvd.rank() - except: - return 0 - else: - return 0 - - -class HorovodAdapter(logging.LoggerAdapter): - def __init__(self, logger): - self._str_epoch='' - self._gpu_rank=0 - super(HorovodAdapter, self).__init__(logger, {}) - - def set_epoch(self, epoch): - self._str_epoch='[Epoch {}]'.format(epoch) - - def process(self, msg, kwargs): - kwargs['extra'] = { - 'gpurank': _get_rank(), - 'epoch': self._str_epoch - } - return msg, kwargs - - -@lru_cache() -def _get_logger(): - logger = logging.getLogger(__name__) - logger.setLevel(logging.INFO) - ch = logging.StreamHandler(stream=sys.stdout) - formatter = logging.Formatter('%(levelname)s:%(name)s:%(gpurank)d: %(epoch)s %(message)s') - ch.setFormatter(formatter) - logger.addHandler(ch) - adapter = HorovodAdapter(logger) - return adapter - - -def _load_image(filename, channels=_CHANNELS): - return tf.to_float(tf.image.decode_png(tf.read_file(filename), channels=channels)) - - -def _resize(img, width=_WIDTH, height=_HEIGHT): - return tf.image.resize_images(img, [height, width]) - - -def _centre(img, mean_subtraction=(_R_MEAN, _G_MEAN, _B_MEAN)): - return tf.subtract(img, list(mean_subtraction)) - - -def _random_crop(img, width=_WIDTH, height=_HEIGHT, channels=_CHANNELS): - return tf.random_crop(img, [height, width, channels]) - - -def _random_horizontal_flip(img): - return tf.image.random_flip_left_right(img) - - -def _preprocess_images(filename): - return pipe(filename, - _load_image, - _resize, - _centre) - - -def _preprocess_labels(label): - return tf.cast(label, dtype=tf.int32) - -def _transform_to_NCHW(img): - return tf.transpose(img, [2, 0, 1]) # Transform from NHWC to NCHW - - -def _parse_function_train(tensor, label): - img_rgb = pipe(tensor, - _random_crop, - _random_horizontal_flip, - _transform_to_NCHW) - - return img_rgb, label - -def _prep(filename, label): - return tf.data.Dataset.from_tensor_slices(([_preprocess_images(filename)], [_preprocess_labels(label)])) - -def _parse_function_eval(filename, label): - return pipe(filename, - _preprocess_images, - _transform_to_NCHW), _preprocess_labels(label) - - -def _get_optimizer(params, is_distributed=_DISTRIBUTED): - if is_distributed: - # Horovod: add Horovod Distributed Optimizer. - return hvd.DistributedOptimizer(tf.train.MomentumOptimizer(learning_rate=params["learning_rate"] * hvd.size(), - momentum=0.9)) - else: - return tf.train.MomentumOptimizer(learning_rate=params["learning_rate"], momentum=0.9) - -def build_network(features, mode, params): - network = resnet_v1( - resnet_depth=50, - num_classes=params['classes'], - data_format='channels_first') - return network( - inputs=features, is_training=(mode == tf.estimator.ModeKeys.TRAIN)) - -def model_fn(features, labels, mode, params): - """ - features: This is the x-arg from the input_fn. - labels: This is the y-arg from the input_fn, - see e.g. train_input_fn for these two. - mode: Either TRAIN, EVAL, or PREDICT - params: User-defined hyper-parameters, e.g. learning-rate. - """ - logger=_get_logger() - logger.info('Creating model in {} mode'.format(mode)) - - logits = build_network(features, mode, params) - - if mode == tf.estimator.ModeKeys.PREDICT: - # Softmax output of the neural network. - y_pred = tf.nn.softmax(logits=logits) - - # Classification output of the neural network. - y_pred_cls = tf.argmax(y_pred, axis=1) - - predictions = { - 'class_ids': y_pred_cls, - 'probabilities': y_pred, - 'logits': logits, - } - return tf.estimator.EstimatorSpec(mode=mode, - predictions=predictions) - - cross_entropy = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=logits, labels=labels) - loss = tf.reduce_mean(cross_entropy) - - if mode == tf.estimator.ModeKeys.EVAL: - # Softmax output of the neural network. - y_pred = tf.nn.softmax(logits=logits) - - # Classification output of the neural network. - y_pred_cls = tf.argmax(y_pred, axis=1) - - accuracy = tf.metrics.accuracy(labels=tf.argmax(labels, axis=1), - predictions=y_pred_cls, - name='acc_op') - metrics = {'accuracy': accuracy} - tf.summary.scalar('accuracy', accuracy[1]) - return tf.estimator.EstimatorSpec(mode=mode, - eval_metric_ops=metrics, - loss=loss) - - optimizer = _get_optimizer(params) - - train_op = optimizer.minimize(loss=loss, global_step=tf.train.get_global_step()) - - return tf.estimator.EstimatorSpec(mode=mode, - loss=loss, - train_op=train_op) - - -def _append_path_to(data_path, data_series): - return data_series.apply(lambda x: path.join(data_path, x)) - - -def _load_training(data_dir): - train_df = pd.read_csv(path.join(data_dir, 'train.csv')) - return train_df.assign(filenames=_append_path_to(path.join(data_dir, 'train'), - train_df.filenames)) - - -def _load_validation(data_dir): - train_df = pd.read_csv(path.join(data_dir, 'validation.csv')) - return train_df.assign(filenames=_append_path_to(path.join(data_dir, 'validation'), - train_df.filenames)) - - -def _create_data_fn(train_path, test_path): - logger = _get_logger() - logger.info('Reading training data info') - train_df = _load_training(train_path) - - logger.info('Reading validation data info') - validation_df = _load_validation(test_path) - - train_labels = train_df[['num_id']].values.ravel() - 1 - validation_labels = validation_df[['num_id']].values.ravel() - 1 - - train_data = tf.data.Dataset.from_tensor_slices((train_df['filenames'].values, train_labels)) - train_data_transform = tf.contrib.data.map_and_batch(_parse_function_train, _BATCHSIZE, num_parallel_batches=5) - train_data = train_data.apply(tf.contrib.data.parallel_interleave( - _prep, cycle_length=5, buffer_output_elements=1024)) - - train_data = (train_data.shuffle(1024) - .repeat() - .apply(train_data_transform) - .prefetch(_BUFFER)) - - validation_data = tf.data.Dataset.from_tensor_slices((validation_df['filenames'].values, validation_labels)) - validation_data_transform = tf.contrib.data.map_and_batch(_parse_function_eval, _BATCHSIZE, num_parallel_batches=4) - validation_data = (validation_data.apply(validation_data_transform) - .prefetch(_BUFFER)) - - def _train_input_fn(): - return train_data.make_one_shot_iterator().get_next() - - def _validation_input_fn(): - return validation_data.make_one_shot_iterator().get_next() - - _train_input_fn.length = len(train_df) - _validation_input_fn.length = len(validation_df) - _train_input_fn.classes = 1000 - _validation_input_fn.classes = 1000 - - return _train_input_fn, _validation_input_fn - - -def _create_data(batch_size, num_batches, dim, channels, seed=42): - np.random.seed(seed) - return np.random.rand(batch_size * num_batches, - channels, - dim[0], - dim[1]).astype(np.float32) - - -def _create_labels(batch_size, num_batches, n_classes): - return np.random.choice(n_classes, batch_size * num_batches) - - -def _create_fake_data_fn(train_length=_DATA_LENGTH, valid_length=50000, num_batches=40): - """ Creates fake dataset - - Data is returned in NCHW since this tends to be faster on GPUs - """ - logger = _get_logger() - logger.info('Creating fake data') - - data_array = _create_data(_BATCHSIZE, num_batches, (_HEIGHT, _WIDTH), _CHANNELS) - labels_array = _create_labels(_BATCHSIZE, num_batches, 1000) - - def fake_data_generator(): - for i in range(num_batches): - yield data_array[i * _BATCHSIZE:(i + 1) * _BATCHSIZE], labels_array[i * _BATCHSIZE:(i + 1) * _BATCHSIZE] - - train_data = tf.data.Dataset().from_generator(fake_data_generator, - output_types=(tf.float32, tf.int32), - output_shapes=(tf.TensorShape([None, _CHANNELS, _HEIGHT, _WIDTH]), - tf.TensorShape([None]))) - - train_data = (train_data.shuffle(40 * _BATCHSIZE) - .repeat() - .prefetch(_BUFFER)) - - validation_data = tf.data.Dataset().from_generator(fake_data_generator, - output_types=(tf.float32, tf.int32), - output_shapes=( - tf.TensorShape([None, _CHANNELS, _HEIGHT, _WIDTH]), - tf.TensorShape([None]))) - - validation_data = (validation_data.prefetch(_BUFFER)) - - def _train_input_fn(): - return train_data.make_one_shot_iterator().get_next() - - def _validation_input_fn(): - return validation_data.make_one_shot_iterator().get_next() - - _train_input_fn.length = train_length - _validation_input_fn.length = valid_length - _train_input_fn.classes = 1000 - _validation_input_fn.classes = 1000 - - return _train_input_fn, _validation_input_fn - - -def _get_runconfig(is_distributed=_DISTRIBUTED): - if is_distributed: - # Horovod: pin GPU to be used to process local rank (one GPU per process) - config = tf.ConfigProto() - config.gpu_options.allow_growth = True - config.gpu_options.visible_device_list = str(hvd.local_rank()) - - return tf.estimator.RunConfig(save_checkpoints_steps=None, - save_checkpoints_secs=None, - session_config=config) - else: - return tf.estimator.RunConfig(save_checkpoints_steps=None) - - -def _get_model_dir(is_distributed=_DISTRIBUTED): - if is_distributed: - # Horovod: save checkpoints only on worker 0 to prevent other workers from - # corrupting them. - return os.getenv('AZ_BATCHAI_OUTPUT_MODEL') if hvd.rank() == 0 else os.getenv('AZ_BATCHAI_JOB_TEMP_DIR') - else: - return os.getenv('AZ_BATCHAI_OUTPUT_MODEL') - - -def _get_hooks(is_distributed=_DISTRIBUTED): - logger = _get_logger() - if is_distributed: - bcast_hook = hvd.BroadcastGlobalVariablesHook(0) - logger.info('Rank: {} Cluster Size {}'.format(hvd.local_rank(), hvd.size())) - return [bcast_hook] - else: - return [] - - -def _is_master(is_distributed=_DISTRIBUTED): - if is_distributed: - if hvd.rank() == 0: - return True - else: - return False - else: - return True - - -def _log_summary(data_length, duration): - logger = _get_logger() - images_per_second = data_length / duration - logger.info('Data length: {}'.format(data_length)) - logger.info('Total duration: {:.3f}'.format(duration)) - logger.info('Total images/sec: {:.3f}'.format(images_per_second)) - logger.info('Batch size: (Per GPU {}: Total {})'.format(_BATCHSIZE, - hvd.size() * _BATCHSIZE if _DISTRIBUTED else _BATCHSIZE)) - logger.info('Distributed: {}'.format('True' if _DISTRIBUTED else 'False')) - logger.info('Num GPUs: {:.3f}'.format(hvd.size() if _DISTRIBUTED else 1)) - logger.info('Dataset: {}'.format('Synthetic' if _FAKE else 'Imagenet')) - - -def main(): - - if _DISTRIBUTED: - # Horovod: initialize Horovod. - hvd.init() - logger = _get_logger() - logger.info("Runnin Distributed") - else: - logger = _get_logger() - - logger.info("Tensorflow version {}".format(tf.__version__)) - if _FAKE: - train_input_fn, validation_input_fn = _create_fake_data_fn() - else: - train_input_fn, validation_input_fn = _create_data_fn(os.getenv('AZ_BATCHAI_INPUT_TRAIN'), - os.getenv('AZ_BATCHAI_INPUT_TEST')) - - run_config = _get_runconfig() - model_dir = _get_model_dir() - - params = {"learning_rate": _LR, - "classes": train_input_fn.classes} - logger.info('Creating estimator with params: {}'.format(params)) - model = tf.estimator.Estimator(model_fn=model_fn, - params=params, - model_dir=model_dir, - config=run_config) - - hooks = _get_hooks() - num_gpus = hvd.size() if _DISTRIBUTED else 1 - with Timer(output=logger.info, prefix="Training") as t: - logger.info('Training...') - model.train(input_fn=train_input_fn, - steps=_EPOCHS * train_input_fn.length // (_BATCHSIZE * num_gpus), - hooks=hooks) - - _log_summary(_EPOCHS * train_input_fn.length, t.elapsed) - - if _is_master() and _FAKE is False and _VALIDATION: - with Timer(output=logger.info, prefix="Testing"): - logger.info('Testing...') - model.evaluate(input_fn=validation_input_fn) - - -if __name__ == '__main__': - main() diff --git a/Makefile b/Makefile index cd8ad7a..2de2625 100644 --- a/Makefile +++ b/Makefile @@ -1,27 +1,19 @@ -define PROJECT_HELP_MSG -Usage: - make help show this message - make build build docker image - make push push container - make run run benchmarking container -endef -export PROJECT_HELP_MSG -PWD:=$(shell pwd) +# This makefile is used to test the cookiecutter +# To use this you will need to create a .dev_env file and add the subscription_id to it +include .dev_env -image_name:=masalvar/batchai-ddl +cookiecutter: +ifdef subscription_id + cd ../ && cookiecutter AMLDistCC --no-input \ + subscription_id=${subscription_id} \ + resource_group=mstestdistrg \ + data=/mnt/imagenet_test \ + vm_size=Standard_NC24rs_v3 \ + project_name=mstestdist \ + image_name=mstestdist +else + @echo "You need to create a .dev_env file with subscription_id in it" +endif -help: - echo "$$PROJECT_HELP_MSG" | less - -build: - docker build -t $(image_name) Docker - -run: - docker run -v $(PWD):/workspace -it $(image_name) bash - -push: - docker push $(image_name) - - - -.PHONY: help build push +clean: + rm -rf ../mstestdist \ No newline at end of file diff --git a/Pytorch/Docker/Dockerfile b/Pytorch/Docker/Dockerfile deleted file mode 100644 index ba0cd3a..0000000 --- a/Pytorch/Docker/Dockerfile +++ /dev/null @@ -1,3 +0,0 @@ -FROM pytorch/pytorch:0.4_cuda9_cudnn7 - -RUN pip install --no-cache-dir h5py scipy jupyter ipykernel numpy toolz pandas scikit-learn pillow \ No newline at end of file diff --git a/Pytorch/Makefile b/Pytorch/Makefile deleted file mode 100644 index 7b1788a..0000000 --- a/Pytorch/Makefile +++ /dev/null @@ -1,11 +0,0 @@ -DATA_DIR:=/mnt/imagenet -PWD:=$(shell pwd) -FAKE:='False' -FAKE_DATA_LENGTH:=1281167 -name_prefix:=iliauk -tag:=latest -image-open:=$(name_prefix)/pytorch_gloo:$(tag) -open-path:=$(PWD)/Docker -script:=\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_gloo.py -include ../include/build.mk - diff --git a/Pytorch/src/imagenet_pytorch_gloo.py b/Pytorch/src/imagenet_pytorch_gloo.py deleted file mode 100644 index 90a7ce5..0000000 --- a/Pytorch/src/imagenet_pytorch_gloo.py +++ /dev/null @@ -1,283 +0,0 @@ -import argparse -import logging -import os -from os import path -import numpy as np -import pandas as pd -import multiprocessing -from toolz import pipe -from timer import Timer -from PIL import Image - -import torch -import torch.nn as nn -import torch.backends.cudnn as cudnn -import torch.optim -import torch.utils.data -import torchvision.transforms as transforms -from torch.utils.data import DataLoader, Dataset -import torchvision.models as models -import torch.distributed as dist -import torch.utils.data.distributed - -print("PyTorch: ", torch.__version__) - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) -# Distributed training settings -parser = argparse.ArgumentParser(description='PyTorch ResNet Example') -parser.add_argument('--world-size', default=1, type=int, help='number of distributed processes') -parser.add_argument('--dist-url', default='tcp://224.66.41.62:23456', type=str, help='url used to set up distributed training') -parser.add_argument('--dist-backend', default='gloo', type=str, help='distributed backend') -parser.add_argument('--rank', default=-1, type=int, help='rank of the worker') - -_WIDTH = 224 -_HEIGHT = 224 -_LR = 0.001 -_EPOCHS = 1 -_NUM_GPU = int(torch.cuda.device_count()) -_BATCHSIZE = 64*_NUM_GPU -_RGB_MEAN = [0.485, 0.456, 0.406] -_RGB_SD = [0.229, 0.224, 0.225] - - -args = parser.parse_args() - -def _str_to_bool(in_str): - if 't' in in_str.lower(): - return True - else: - return False - -_FAKE = _str_to_bool(os.getenv('FAKE', 'True')) -_DATA_LENGTH = int(os.getenv('FAKE_DATA_LENGTH', 1281167)) # How much fake data to simulate, default to size of imagenet dataset - -#_DISTRIBUTED = _str_to_bool(os.getenv('DISTRIBUTED', 'False')) -_DISTRIBUTED = True -_CPU_COUNT = 8 -logger.info("Distributed mode: ", _DISTRIBUTED) -logger.info("CPU Count: ", _CPU_COUNT) - - -def _append_path_to(data_path, data_series): - return data_series.apply(lambda x: path.join(data_path, x)) - - -def _load_training(data_dir): - train_df = pd.read_csv(path.join(data_dir, 'train.csv')) - return train_df.assign(filenames=_append_path_to(path.join(data_dir, 'train'), - train_df.filenames)) - - -def _load_validation(data_dir): - train_df = pd.read_csv(path.join(data_dir, 'validation.csv')) - return train_df.assign(filenames=_append_path_to(path.join(data_dir, 'validation'), - train_df.filenames)) - - -def _create_data_fn(train_path, test_path): - logger.info('Reading training data info') - train_df = _load_training(train_path) - logger.info('Reading validation data info') - validation_df = _load_validation(test_path) - # File-path - train_X = train_df['filenames'].values - validation_X = validation_df['filenames'].values - # One-hot encoded labels for torch - train_labels = train_df[['num_id']].values.ravel() - validation_labels = validation_df[['num_id']].values.ravel() - # Index starts from 0 - train_labels -= 1 - validation_labels -= 1 - return train_X, train_labels, validation_X, validation_labels - - -class ImageNet(Dataset): - def __init__(self, img_locs, img_labels, transform=None): - self.img_locs, self.labels = img_locs, img_labels - self.transform = transform - logger.info("Loaded {} labels and {} images".format(len(self.labels), len(self.img_locs))) - - def __getitem__(self, idx): - im_file = self.img_locs[idx] - label = self.labels[idx] - with open(im_file, 'rb') as f: - im_rgb = Image.open(f) - # Make sure 3-channel (RGB) - im_rgb = im_rgb.convert('RGB') - if self.transform is not None: - im_rgb = self.transform(im_rgb) - return im_rgb, label - - def __len__(self): - return len(self.img_locs) - - -class FakeData(Dataset): - def __init__(self, - batch_size=32, - num_batches=20, - dim=(224, 224), - n_channels=3, - n_classes=10, - length=_DATA_LENGTH, - seed=42, - data_transform=None): - self.dim = dim - self.n_channels = n_channels - self.n_classes = n_classes - self.num_batches = num_batches - self._data = _create_data(batch_size, self.num_batches, self.dim, self.n_channels) - self._labels = _create_labels(batch_size, self.num_batches, self.n_classes) - self.translation_index = np.random.choice(len(self._labels), length) - self._length=length - - self._data_transform = data_transform - #logger = _get_logger() - logger.info("Creating fake data {} labels and {} images".format(n_classes, len(self._data))) - - def __getitem__(self, idx): - #logger = _get_logger() - logger.debug('Retrieving samples') - logger.debug(str(idx)) - tr_index_array = self.translation_index[idx] - - if self._data_transform is not None: - data=self._data_transform(self._data[tr_index_array]) - else: - data=self._data[tr_index_array] - - return data, self._labels[tr_index_array] - - def __len__(self): - return self._length - - -def _log_summary(data_length, duration): - #logger = _get_logger() - images_per_second = data_length / duration - logger.info('Data length: {}'.format(data_length)) - logger.info('Total duration: {:.3f}'.format(duration)) - logger.info('Total images/sec: {:.3f}'.format(images_per_second)) - logger.info('Batch size: (Per GPU {}: Total {})'.format(int(_BATCHSIZE/_NUM_GPU), _BATCHSIZE)) - logger.info('Distributed: {}'.format('True' if _DISTRIBUTED else 'False')) - logger.info('Num GPUs: {:.3f}'.format(_NUM_GPU)) # May need to pass in argument to get this - logger.info('Dataset: {}'.format('Synthetic' if _FAKE else 'Imagenet')) - -def _create_data(batch_size, num_batches, dim, channels, seed=42): - np.random.seed(seed) - return np.random.rand(batch_size * num_batches, - channels, - dim[0], - dim[1]).astype(np.float32) - - -def _create_labels(batch_size, num_batches, n_classes): - return np.random.choice(n_classes, batch_size * num_batches) - - -def train(train_loader, model, criterion, optimizer, epoch): - logger.info("Training ...") - model.train() - for i, (input, target) in enumerate(train_loader): - input, target = input.cuda(non_blocking=True), target.cuda(non_blocking=True) - # compute output - output = model(input) - loss = criterion(output, target) - # compute gradient and do SGD step - optimizer.zero_grad() - loss.backward() - optimizer.step() - - -def validate(val_loader, model, criterion): - logger.info("Validating ...") - model.eval() - correct = 0 - total = 0 - with torch.no_grad(): - for i, (input, target) in enumerate(val_loader): - target = target.cuda(non_blocking=True) - # compute output - output = model(input) - _, predicted = torch.max(output.data, 1) - total += target.size(0) - correct += (predicted == target).sum().item() - logger.info('Top-1 Accuracy: %.2f %%' % (100 * correct / total)) - - -def main(): - # Autotune - cudnn.benchmark = True - # Load symbol - model = models.__dict__['resnet50'](pretrained=False) - if _DISTRIBUTED: - logger.info('Running in distributed mode') - dist.init_process_group( - backend=args.dist_backend, - init_method=args.dist_url, - world_size=args.world_size, - rank=args.rank) - model.cuda() - model = torch.nn.parallel.DistributedDataParallel(model) - else: - model = torch.nn.DataParallel(model).cuda() - # Optimisers - criterion = nn.CrossEntropyLoss().cuda() - optimizer = torch.optim.SGD(model.parameters(), lr=_LR) - # Data-sets - if _FAKE: - logger.info("Setting up fake loaders") - train_dataset = FakeData(n_classes=1000, data_transform=torch.FloatTensor) - else: - normalize = transforms.Normalize(_RGB_MEAN, _RGB_SD) - train_X, train_y, valid_X, valid_y = _create_data_fn(os.getenv('AZ_BATCHAI_INPUT_TRAIN'), - os.getenv('AZ_BATCHAI_INPUT_TEST')) - train_dataset = ImageNet( - train_X, - train_y, - transforms.Compose([ - transforms.RandomResizedCrop(_WIDTH), - transforms.RandomHorizontalFlip(), - transforms.ToTensor(), - normalize])) - - - if _DISTRIBUTED: - train_sampler = torch.utils.data.distributed.DistributedSampler(train_dataset) - else: - train_sampler = None - - # Data-loaders - train_loader = torch.utils.data.DataLoader( - train_dataset, batch_size=_BATCHSIZE, shuffle=(train_sampler is None), num_workers=_CPU_COUNT, sampler=train_sampler) - - #val_loader = torch.utils.data.DataLoader( - # ImageNet( - # valid_X, - # valid_y, - # transforms.Compose([ - # transforms.Resize(256), - # transforms.CenterCrop(_WIDTH), - # transforms.ToTensor(), - # normalize])), batch_size=_BATCHSIZE, shuffle=False, - # num_workers=_CPU_COUNT) - - # Main training-loop - for epoch in range(_EPOCHS): - if _DISTRIBUTED: - train_sampler.set_epoch(epoch) - # Train - with Timer(output=logger.info, prefix="Training") as t: - train(train_loader, model, criterion, optimizer, epoch) - _log_summary(len(train_dataset), t.elapsed) - - # Validate - #with Timer(output=logger.info, prefix="Testing"): - # validate(val_loader, model, criterion) - - print("Finished") - -if __name__ == '__main__': - print("Pytorch") - main() \ No newline at end of file diff --git a/README.md b/README.md index 873f02c..3321a00 100644 --- a/README.md +++ b/README.md @@ -1,14 +1,245 @@ -# Distributed Deep Learning +# Introduction +This repo contains a cookiecutter template for running distributed training of deep learning models using +Azure Machine Learning. You can create clusters with 0 nodes which will incur no cost and scale this up to hundreds of nodes. It is also possible to use low priority nodes to reduce costs even further. -This repo contains a number of examples of training a ResNet50 network with the Imagenet dataset in various Deep Learning frameworks. +The project contains the following: +#### Tensorflow Benchmark +This is a demo template that allows you to easily run [tf_cnn_benchmarks](https://github.com/tensorflow/benchmarks/tree/master/scripts/tf_cnn_benchmarks) on Azure ML. This is a great way to test performance as well as compare to other platforms +#### Tensorflow Imagenet +This is another demo tempalte that shows you how to train a ResNet50 model using Imagenet on Azure. We include scripts for processing the imagenet data, transforming them to TF Records as well as leveraging AzCopy to quickly upload the data to the cloud. +#### Tensorflow Template +This is a blank template you can use for your own didstributed training projects. It allows you to leverage all the tooling built around the previous two demos to speed up the time it takes to run your model in a distributed fashion on Azure. -[Horovod + Keras](HorovodKeras) -[Horovod + Tensorflow](HorovodTF) -[Horovod + PyTorch](HorovodPytorch) +# Prerequisites +Before you get started you need a PC running Ubuntu and the following installed: +[Docker installed](https://docs.docker.com/install/linux/docker-ce/ubuntu/) +[Nvidia runtime for docker](https://github.com/NVIDIA/nvidia-container-runtime) [Required for local execution] +[Cookiecutter installed](https://cookiecutter.readthedocs.io/en/latest/) +[Git installed](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) + +> **Note:** +> You will need to run docker without sudo, to do this run: +> ``` +> sudo usermod -aG docker $USER +> newgrp docker +>``` + +# Setup +## Using the template + +Once you have Cookiecutter installed you can either directly invoke project creation as follows: +```bash +cookiecutter gh:Microsoft/AMLDistCC +``` +or clone locally and then invoke +```bash +git clone https://github.com/Microsoft/AMLDistCC.git +cookiecutter AMLDistCC +``` +Cookiecutter will then ask you about a number of fields which it will use to construct your project. +If you simply want to select the defaults don't write or select anything just press enter. Many of them can be left at the default values, the ones that are absolutely necessary are _highlighted_ + +**project_title:** The title of your project +**project_name:** The folder in which your project will be created. Make sure it is a valid linux folder name +**resource_group:** The name of the resource group in Azure under which all the resources will be created. +It is fine if it already exists +**workspace:** The AML workspace that the project will use. If it doesn't already exist it will create it +**sub_id:** The subscription id for your project, you can look this up on the portal or run a command on the +cloud shell to get it. It isn't mandatory though, the application will give you an option to select it later. +**vm_size:** The VM type to use for distributed training +**minimum_number_nodes:** The minimum number of nodes in the cluster. Set to 0 if you want it to scale down +after use to reduce costs +**maximum_number_nodes:** The maximum number of nodes in the cluster +**cluster_name:** The name of the cluster to use. It will create it if it doesn't exist +**container_registry:** The name of your dockerhub or other account which you may want to push your control plane docker container. If you don't have one or don't want to push the container to it simply leave as default +**type:** The type of project you want: +* all: All of them +* template: Just create a template for distributed training +* benchmark: Create project that will run the Tensorflow benchmarks +* imagenet: Create an example project that will run against the imagenet data. (You will need to download the imagenet data) + +**region:** Which region to create Azure resources in +**experiment_name:** The name of the experiment +_data_**:** The absolute path on your computer where you will store the imagenet data. The location needs to have around 400GB of space +**image_name:** The name to give the control plane docker image +**datastore_name:** Name of the datastore that will be created as part of the project +**container_name:** The name of the container in your storage account that will hold the data + +Once the project is created you will still be able to change many of the above options as they will be present in .env file that will be created. + +## Building environment +Distributed training is complex and often has a number of moving parts. To reduce the overhead of installing packages and managing environments we use a docker container to encapsulate our enviroment. So once you have created the project simply navigate to the root folder created by cookiecutter and run: +```bash +make build +``` +This will build your docker container. Isnide your docker container will be an appropriately set up conda environment a number of utilities such as AzCopy as well as everything you will need to run your distributed training job. +Once your container is built run: +```bash +make run +``` +This will put you in an environment inside your container in a tmux session (for a tutorial on tmux see [here](https://www.hamvocke.com/blog/a-quick-and-easy-guide-to-tmux/)). The tmux control key has been mapped to **ctrl+a** rather than the standard ctrl+b so as not to interfere with outer tmux session if you are already a tmux user. You can alter this in the tmux.conf file in the Docker folder. The docker container will map the location you launched it from to the location /workspace inside the docker container. Therefore you can edit files outside of the container in the project folder and the changes will be reflected inside the container. + +## Imagenet data +If you have selected **all** or **imagenet** in the type question during cookiecutter invocation then you will need to have **ILSVRC2012_img_train.tar** and **ILSVRC2012_img_val.tar** present in the direcotry you specified as your data directory. Go to the [download page](http://www.image-net.org/download-images) (you may need to register an account), and find the page for ILSVRC2012. You will need to download the two files mentioned earlier. + +## Template selection +Based on the option you selected for **type** during the cookiecutter invocation you will get all or one of the options below. Cookiecutter will create your project folder which will contain the tempalte folders. When inside your project folder make sure you have run the **make build** and **make run** commands as mentioned in section X above. Once you run the run command you will be greeted by a prompt, this is now your control plane. First you will need to set everything up. To do this run +```bash +inv setup +``` +It will ask you to log in so follow the prompts in the terminal. If you selected **all** in the template type it will also prepare the imagenet data. +Now you will be ready to run the tempaltes. + +#### Tensorflow Benchmark +This is a demo template allows you to easily run tf_cnn_benchmarks on Azure ML. This is a great way to test performance as well as compare to other platforms. To use this you must either select benchmark or all when invoking cookiecutter. +Once setup is complete then simply run: +```bash +inv tf-benchmark.submit.local.synthetic +``` +to run things locally on a single GPU. Note that the first time you run things you will have to build the environment. +To run things on a cluster simply run: +```bash +inv tf-benchmark.submit.remote.synthetic +``` +Note that this will create the cluster if it wasn't created earlier and create the appropriate environment. + +#### Tensorflow Imagenet +This is the second demo template that will train a ResNet50 model on imagenet. It allows the options of using synthetic data, image data as well as tfrecords. To use this you must either select **imagenet** or **all** when cookiecutter asks what type of project you want to create. +The run things locally using synthetic data simply run: +``` +inv tf-imagenet.submit.local.synthetic +``` + +To run things on a remote cluster with real data in tfrecords format simply run: +``` +inv tf-imagenet.submit.remote.tfrecords +``` + +This only covers a small number of commands, to see the full list of commands simply run inv --list. +#### Tensorflow Experiment +This is the option that you should use if you want to run your own training script. It is up to you to add the appropriate training scripts and modify the tensorflow_experiment.py file to run the appropriate commands. If you want to see how to invoke things simply look at the other examples. + +# Architecture +Below is a diagram that shows how the project is set up. + +

+ +

+ +The docker container you created using **make build** is the control plane and from there we can invoke jobs to execute either locally or in the cloud. Local execution is meant for debugging and will run on a single GPU. The mapping of data locations is handled by the control scripts. During local execution the appropriate location is mapped to the container. During remote execution the data store created during setup will be mounted on to each of the VMs in the cluster. + +## Project structure +The original project structure is as shown below. + +```. +├── cookiecutter.json <-- Cookiecutter json that holds all the variables for the projects +├── hooks +│ ├── post_gen_project.py +│ └── pre_gen_project.py +├── images +│ └── demo.svg +├── LICENSE +├── README.md <-- This readme +└── {{cookiecutter.project_name}} + ├── _dotenv_template <-- Template that is read and translated into .env file + ├── control <-- Holds all files for the control plane + │ ├── Docker <-- Contains the files used to build the control plane docker container + │ │ ├── azure_requirements.txt <-- Azure python requirements + │ │ ├── bash.completion <-- Completion script for invoke + │ │ ├── dockerfile + │ │ ├── environment.yml <-- Conda environment specification for control plane + │ │ ├── jupyter_notebook_config.py + │ │ └── tmux.conf <-- Tmux configuration + │ └── src + │ ├── aml_compute.py <-- Module that holds methods for creating cluster and submitting experiments using Azure ML + │ ├── config.py <-- Module for loading and working with .env config + │ └── logging.conf <-- Logging configuration for control plane + ├── Makefile <-- Makefile to build and run control plane + ├── scripts + │ ├── convert_imagenet_to_tf_records.py <-- Script for transforming imagenet data to tf records + │ ├── image.py <-- Invoke module for working with images + │ ├── imagenet_nounid_to_class.json <-- Imagenet nounid lookup + │ ├── prepare_imagenet.py <-- Script for preparing imagenet data + │ ├── storage.py <-- Invoke module for using Azure storage + │ └── tfrecords.py <-- Invoke module for working with tf records + ├── tasks.py <-- Main invoke module + ├── TensorFlow_benchmark <-- Template for running Tensorflow benchmarks + │ ├── environment_cpu.yml + │ ├── environment_gpu.yml <-- Conda specification file used by Azure ML to create environment to run project in + │ ├── src <-- Folder where tensorflow benchmarks code will be cloned into + | └── tensorflow_benchmark.py <-- Invoke module for running benchmarks + ├── TensorFlow_experiment <-- Tensorflow distributed training template [Put your code here] + │ ├── environment_cpu.yml + │ ├── environment_gpu.yml <-- Conda specification file used by Azure ML to create environment to run project in + │ ├── src + │ │ ├── logging.conf + │ │ └── train_model.py <-- Template file + │ └── tensorflow_experiment.py <-- Invoke module for running template + └── TensorFlow_imagenet + ├── environment_cpu.yml + ├── environment_gpu.yml <-- Conda specification file used by Azure ML to create environment to run project in + ├── src <-- Code for training ResNet50 model on imagenet + │ ├── data + │ │ ├── __init__.py + │ │ ├── images.py + │ │ ├── synthetic.py + │ │ └── tfrecords.py + │ ├── defaults.py + │ ├── imagenet_preprocessing.py + │ ├── logging.conf + │ ├── resnet_main.py <-- Main entry script + │ ├── resnet_model.py + │ ├── resnet_run_loop.py + │ ├── timer.py + │ └── utils.py + └── tensorflow_imagenet.py <-- Invoke module for running imagenet experiment +``` +Depending on the options chosen only certain branches will be moved over to your project. + + +## Options +These are the options when using the template. These can differ depenting on the type of project you choose to create. To see this list youself simply run: +``` +inv --list +``` +``` + delete Delete the resource group and all associated resources + experiments Prints list of experiments + interactive (i) Open IPython terminal and load in modules to work with AzureML + login Log in to Azure CLI + runs Prints information on last N runs in specified experiment + select-subscription Select Azure subscription to use + setup Setup the environment and process the imagenet data + tensorboard Runs tensorboard in a seperate tmux session + storage.create-resource-group + storage.store-key Retrieves premium storage account key from Azure and stores it in .env file + storage.image.create-container Creates container based on the parameters found in the .env file + storage.image.download-data Download training and validation data from blob container specified in .env file + storage.image.download-training Download training data from blob container specified in .env file + storage.image.download-validation Download validation data from blob container specified in .env file + storage.image.prepare-imagenet Prepare imagenet data found in download_dir and push results to target_dir + storage.image.upload-data Upload training and validation data to container specified in .env file + storage.image.upload-training-data Upload training data to container specified in .env file + storage.image.upload-validation-data Upload validation data to container specified in .env file + storage.create-container Creates container based on the parameters found in the .env file + storage.create-premium-storage Creates premium storage account. By default the values are loaded from the local .env file + storage.tfrecords.upload-validation-data Upload tfrecords validation data to container specified in .env file + tf-benchmark.submit.local.synthetic Submits TensorFlow benchmark job using synthetic data for local execution + tf-benchmark.submit.remote.synthetic Submits TensorFlow benchmark job using synthetic data on remote cluster + tf-experiment.submit.local.images This command isn't implemented please modify to use. + tf-experiment.submit.local.synthetic This command isn't implemented please modify to use. + tf-experiment.submit.remote.images This command isn't implemented please modify to use. + tf-experiment.submit.remote.synthetic This command isn't implemented please modify to use. + tf-imagenet.submit.local.images Submit TensorFlow training job using real imagenet data for local execution + tf-imagenet.submit.local.synthetic Submit TensorFlow training job using synthetic imagenet data for local execution + tf-imagenet.submit.local.tfrecords Submit TensorFlow training job using real imagenet data as tfrecords for local execution + tf-imagenet.submit.remote.images Submit TensorFlow training job using real imagenet data to remote cluster + tf-imagenet.submit.remote.synthetic Submit TensorFlow training job using synthetic imagenet data to remote cluster + tf-imagenet.submit.remote.tfrecords Submit TensorFlow training job using real imagenet data as tfrecords to remote cluster +``` # Contributing - This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com. diff --git a/_tmp/CNTKImagenetBatchAI-Blob.ipynb b/_tmp/CNTKImagenetBatchAI-Blob.ipynb deleted file mode 100644 index 9a31dc1..0000000 --- a/_tmp/CNTKImagenetBatchAI-Blob.ipynb +++ /dev/null @@ -1,1219 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled True\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "MSEG_11036568 _A&I_Tabulars_RnD_01 AzureCloud 3260c1d9-fc9f-430a-9e98-17ff73167db0 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "IMML R Engineering-SQL-ExpressRoute AzureCloud b3bef994-be52-4b6a-be38-43cf1b09f12b Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.32)\r\n", - "\r\n", - "acr (2.0.24)\r\n", - "acs (2.0.32)\r\n", - "advisor (0.5.1)\r\n", - "ams (0.1.0)\r\n", - "appservice (0.1.32)\r\n", - "backup (1.1.1)\r\n", - "batch (3.2.2)\r\n", - "batchai (0.2.2)\r\n", - "billing (0.1.8)\r\n", - "cdn (0.0.14)\r\n", - "cloud (2.0.13)\r\n", - "cognitiveservices (0.1.13)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.15)\r\n", - "consumption (0.3.1)\r\n", - "container (0.1.23)\r\n", - "core (2.0.32)\r\n", - "cosmosdb (0.1.21)\r\n", - "dla (0.0.19)\r\n", - "dls (0.0.21)\r\n", - "dms (0.0.1)\r\n", - "eventgrid (0.1.12)\r\n", - "eventhubs (0.1.3)\r\n", - "extension (0.0.13)\r\n", - "feedback (2.1.1)\r\n", - "find (0.2.9)\r\n", - "interactive (0.3.20)\r\n", - "iot (0.1.20)\r\n", - "keyvault (2.0.21)\r\n", - "lab (0.0.22)\r\n", - "monitor (0.1.6)\r\n", - "network (2.1.0)\r\n", - "nspkg (3.0.2)\r\n", - "profile (2.0.24)\r\n", - "rdbms (0.2.2)\r\n", - "redis (0.2.13)\r\n", - "reservations (0.1.2)\r\n", - "resource (2.0.28)\r\n", - "role (2.0.23)\r\n", - "servicebus (0.1.2)\r\n", - "servicefabric (0.0.12)\r\n", - "sql (2.0.25)\r\n", - "storage (2.0.32)\r\n", - "vm (2.0.31)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/miguel/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Apr 30 2018, 23:14:03) \r\n", - "[GCC 5.4.0 20160609]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch{uuid}share\".format(uuid=short_uuid)\n", - "NFS_NAME=\"batch{uuid}nfs\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location Name\r\n", - "---------- ---------------\r\n", - "eastus batch47389c82rg\r\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batch47389c82st provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join([i for i in json_data if 'WARNING' not in i]))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batch47389c82st\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=pagaSJpBSTJNY/dAaTexrPxHp/3lZcyzP6v01f5PvtK7oECom2j6HGC+Cb0EPh2cx7Nuy1V1Hnz0HUqWj+4cOA==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation')" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 49544 file(s), 6.189 GB; Average Speed:8.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49745 file(s), 6.213 GB; Average Speed:8.96 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49918 file(s), 6.234 GB; Average Speed:8.96 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49997 file(s), 6.246 GB; Average Speed:8.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49998 file(s), 6.246 GB; Average Speed:8.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49999 file(s), 6.246 GB; Average Speed:8.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49999 file(s), 6.246 GB; Average Speed:5.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1H[2018/06/16 07:46:27][ERROR] https://datasharesa.blob.core.windows.net/imagenet/validation/ILSVRC2012_val_00014726.JPEG: The transfer failed.\n", - "The client could not finish the operation within specified timeout.\n", - "HttpStatusMessage:\n", - "RequestId:\n", - "Time:\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[6n \u001b[6n\u001b[1;1HFinished 49999 of total 50000 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/06/16 07:46:31] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 50000\n", - "Transfer successfully: 49999\n", - "Transfer skipped: 0\n", - "Transfer failed: 1\n", - "Elapsed time: 00.00:19:08\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet --recursive " - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1H[2018/06/16 08:18:34][WARNING] The command line \"--source \"https://datasharesa.blob.core.windows.net/imagenet/validation\" --destination \"https://batch47389c82st.blob.core.windows.net/batch47389c82container/validation\" --recursive --source-key ****** --dest-key ****** --quiet\" in the journal file \"/home/miguel/Microsoft/Azure/AzCopy/AzCopy.jnl\" is different from your input.\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/06/16 08:18:36][WARNING] Incomplete operation with different command line detected at the journal directory \"/home/miguel/Microsoft/Azure/AzCopy\".\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 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"Finished: 29074 file(s), 3.23 GB; Average Speed:4.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29174 file(s), 3.241 GB; Average Speed:4.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29272 file(s), 3.256 GB; Average Speed:4.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29431 file(s), 3.267 GB; Average Speed:4.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29467 file(s), 3.271 GB; Average Speed:4.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29634 file(s), 3.289 GB; Average Speed:4.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29639 file(s), 3.289 GB; Average Speed:4.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29704 file(s), 3.295 GB; Average Speed:4.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29771 file(s), 3.311 GB; Average Speed:4.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29864 file(s), 3.314 GB; Average Speed:4.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29971 file(s), 3.327 GB; Average Speed:4.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 30026 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"\u001b[1;1H\u001b[6nFinished: 97988 file(s), 11.64 GB; Average Speed:4.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 98095 file(s), 11.654 GB; Average Speed:4.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 98151 file(s), 11.656 GB; Average Speed:4.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 98220 file(s), 11.662 GB; Average Speed:4.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 98253 file(s), 11.668 GB; Average Speed:4.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 98380 file(s), 11.679 GB; Average Speed:4.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 98422 file(s), 11.684 GB; Average Speed:4.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 98430 file(s), 11.686 GB; Average Speed:4.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 98537 file(s), 11.708 GB; Average Speed:4.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 98601 file(s), 11.708 GB; Average Speed:4.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 98652 file(s), 11.716 GB; Average Speed:4.81 MB/s. 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- "text": [ - "Finished: 213366 file(s), 24.906 GB; Average Speed:4.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 213371 file(s), 24.907 GB; Average Speed:4.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 213561 file(s), 24.912 GB; Average Speed:4.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 213642 file(s), 24.917 GB; Average Speed:4.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 213697 file(s), 24.92 GB; Average Speed:4.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 213836 file(s), 24.935 GB; Average Speed:4.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 213889 file(s), 24.94 GB; Average Speed:4.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 213900 file(s), 24.944 GB; Average Speed:4.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 214054 file(s), 24.96 GB; Average Speed:4.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 214081 file(s), 24.962 GB; Average Speed:4.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 214127 file(s), 24.976 GB; Average Speed:4.61 MB/s. 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"\u001b[1;1H\u001b[6nFinished: 269533 file(s), 30.073 GB; Average Speed:4.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269583 file(s), 30.077 GB; Average Speed:4.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269726 file(s), 30.092 GB; Average Speed:4.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269763 file(s), 30.098 GB; Average Speed:4.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269891 file(s), 30.112 GB; Average Speed:4.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269931 file(s), 30.118 GB; Average Speed:4.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270055 file(s), 30.14 GB; Average Speed:4.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270211 file(s), 30.162 GB; Average Speed:4.47 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270249 file(s), 30.167 GB; Average Speed:4.47 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270336 file(s), 30.181 GB; Average Speed:4.47 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270409 file(s), 30.183 GB; Average Speed:4.47 MB/s. 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- ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 333694 file(s), 36.217 GB; Average Speed:4.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 333818 file(s), 36.23 GB; Average Speed:4.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 333905 file(s), 36.234 GB; Average Speed:4.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 333989 file(s), 36.243 GB; Average Speed:4.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 334160 file(s), 36.258 GB; Average Speed:4.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 334189 file(s), 36.264 GB; Average Speed:4.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 334323 file(s), 36.28 GB; Average Speed:4.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 334402 file(s), 36.284 GB; Average Speed:4.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 334548 file(s), 36.299 GB; Average Speed:4.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 334615 file(s), 36.306 GB; Average Speed:4.4 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 391875 file(s), 42.769 GB; Average Speed:4.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 391913 file(s), 42.773 GB; Average Speed:4.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 392096 file(s), 42.792 GB; Average Speed:4.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 392112 file(s), 42.794 GB; Average Speed:4.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 392217 file(s), 42.808 GB; Average Speed:4.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet --recursive --exclude-older" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train_map.txt')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/cntk/train_map.txt \\\n", - " --destination $destination_url \\\n", - " --source-sas '?sp=r&st=2018-05-21T13:59:25Z&se=2025-05-21T21:59:25Z&spr=https&sv=2017-07-29&sig=Nl5%2FquqbqkaeJeZnM%2BNeX2T9mmMf%2BoLAJtV1OXugkdI%3D&sr=b' \\\n", - " --dest-key $storage_account_key --quiet\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'val_map.txt')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/cntk/val_map.txt \\\n", - " --destination $destination_url \\\n", - " --source-sas '?sp=r&st=2018-05-21T13:52:05Z&se=2025-05-21T21:52:05Z&spr=https,http&sv=2017-07-29&sig=YuPsiiPJ%2FUQTvs8U9i1uYuna8bQW5SiIxDGvl27wbyk%3D&sr=b' \\\n", - " --dest-key $storage_account_key --quiet\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'ImageNet1K_mean.xml')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/cntk/ImageNet1K_mean.xml \\\n", - " --destination $destination_url \\\n", - " --source-sas '?sp=r&st=2018-05-21T14:00:22Z&se=2025-05-21T22:00:22Z&spr=https&sv=2017-07-29&sig=iZgfdPr1vgEHqLJPdOteBulaUQudh6etVH%2FzJ9wGGPU%3D&sr=b' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetEstimatorCNTK.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/resnet_models.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24r \\\n", - "--min 10 --max 10 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--container-name $CONTAINER_NAME \\\n", - "--container-mount-path extcn \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\r\n", - "------ ---------------- -------------- ------- ------ --------- ----------- --------- ----------\r\n", - "nc24r batch47389c82rg STANDARD_NC24r steady 10 0 0 0 0\r\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ID IP Port\r\n", - "---------------------------------- ------------ ------\r\n", - "tvm-4155946844_1-20180616t161605z 40.121.43.64 50008\r\n", - "tvm-4155946844_10-20180616t161605z 40.121.43.64 50003\r\n", - "tvm-4155946844_2-20180616t161605z 40.121.43.64 50004\r\n", - "tvm-4155946844_3-20180616t161605z 40.121.43.64 50000\r\n", - "tvm-4155946844_4-20180616t161605z 40.121.43.64 50009\r\n", - "tvm-4155946844_5-20180616t161605z 40.121.43.64 50005\r\n", - "tvm-4155946844_6-20180616t161605z 40.121.43.64 50001\r\n", - "tvm-4155946844_7-20180616t161605z 40.121.43.64 50006\r\n", - "tvm-4155946844_8-20180616t161605z 40.121.43.64 50002\r\n", - "tvm-4155946844_9-20180616t161605z 40.121.43.64 50007\r\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2018-03-01/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 2,\n", - " \"cntkSettings\": {\n", - " \"pythonScriptFilePath\": \"$AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorCNTK.py\",\n", - " \"processCount\": 8\n", - " },\n", - " \"environmentVariables\": [{\n", - " \"name\": \"DISTRIBUTED\",\n", - " \"value\": \"True\"\n", - " }],\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"microsoft/cntk:2.5.1-gpu-python3.5-cuda9.0-cudnn7.0\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job_blob.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K{- Finished ..\n", - " \"additionalProperties\": {},\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/03909a66-bef8-4d52-8e9a-a346604e0902/resourceGroups/batch47389c82rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batch47389c82rg\"\n", - " },\n", - " \"cntkSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"commandLineArgs\": null,\n", - " \"configFilePath\": null,\n", - " \"languageType\": \"Python\",\n", - " \"processCount\": 8,\n", - " \"pythonInterpreterPath\": null,\n", - " \"pythonScriptFilePath\": \"$AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorCNTK.py\"\n", - " },\n", - " \"constraints\": {\n", - " \"additionalProperties\": {},\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"imageSourceRegistry\": {\n", - " \"additionalProperties\": {},\n", - " \"credentials\": null,\n", - " \"image\": \"microsoft/cntk:2.5.1-gpu-python3.5-cuda9.0-cudnn7.0\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-06-17T06:15:16.682000+00:00\",\n", - " \"customToolkitSettings\": null,\n", - " \"environmentVariables\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"name\": \"DISTRIBUTED\",\n", - " \"value\": \"True\"\n", - " }\n", - " ],\n", - " \"executionInfo\": {\n", - " \"additionalProperties\": {},\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-06-17T06:15:19.311000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-06-17T06:15:19.390000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/03909a66-bef8-4d52-8e9a-a346604e0902/resourceGroups/batch47389c82rg/providers/Microsoft.BatchAI/jobs/cntk_benchmark1b\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\"\n", - " }\n", - " ],\n", - " \"jobOutputDirectoryPathSegment\": \"03909a66-bef8-4d52-8e9a-a346604e0902/batch47389c82rg/jobs/cntk_benchmark1b/d9928dd1-3c06-4446-9c44-63944b0b8f3c\",\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"mountVolumes\": null,\n", - " \"name\": \"cntk_benchmark1b\",\n", - " \"nodeCount\": 2,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-06-17T06:15:17.692000+00:00\",\n", - " \"pyTorchSettings\": null,\n", - " \"resourceGroup\": \"batch47389c82rg\",\n", - " \"secrets\": null,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"cntk\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n", - "\u001b[0m" - ] - } - ], - "source": [ - "!az batchai job create -n cntk_benchmark1b --cluster-name nc24r -c job_blob.json -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name Resource Group Cluster Cluster RG Tool Nodes State\r\n", - "-------------- ---------------- --------- --------------- ------ ------- -------\r\n", - "cntk_benchmark batch47389c82rg nc24r batch47389c82rg cntk 2 running\r\n" - ] - } - ], - "source": [ - "!az batchai job list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "!az batchai job file stream -n cntk_benchmark -g $GROUP_NAME -f stderr.txt" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "!az batchai job file stream -n cntk_benchmark -g $GROUP_NAME -f stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az batchai job delete --name cntk_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az batchai file-server delete -n $NFS_NAME -y -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/CNTKImagenetBatchAI-LocalFiles.ipynb b/_tmp/CNTKImagenetBatchAI-LocalFiles.ipynb deleted file mode 100644 index ec2426c..0000000 --- a/_tmp/CNTKImagenetBatchAI-LocalFiles.ipynb +++ /dev/null @@ -1,1455 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled True\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "MSEG_11036568 _A&I_Tabulars_RnD_01 AzureCloud 3260c1d9-fc9f-430a-9e98-17ff73167db0 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "IMML R Engineering-SQL-ExpressRoute AzureCloud b3bef994-be52-4b6a-be38-43cf1b09f12b Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.32)\r\n", - "\r\n", - "acr (2.0.24)\r\n", - "acs (2.0.32)\r\n", - "advisor (0.5.1)\r\n", - "ams (0.1.0)\r\n", - "appservice (0.1.32)\r\n", - "backup (1.1.1)\r\n", - "batch (3.2.2)\r\n", - "batchai (0.2.2)\r\n", - "billing (0.1.8)\r\n", - "cdn (0.0.14)\r\n", - "cloud (2.0.13)\r\n", - "cognitiveservices (0.1.13)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.15)\r\n", - "consumption (0.3.1)\r\n", - "container (0.1.23)\r\n", - "core (2.0.32)\r\n", - "cosmosdb (0.1.21)\r\n", - "dla (0.0.19)\r\n", - "dls (0.0.21)\r\n", - "dms (0.0.1)\r\n", - "eventgrid (0.1.12)\r\n", - "eventhubs (0.1.3)\r\n", - "extension (0.0.13)\r\n", - "feedback (2.1.1)\r\n", - "find (0.2.9)\r\n", - "interactive (0.3.20)\r\n", - "iot (0.1.20)\r\n", - "keyvault (2.0.21)\r\n", - "lab (0.0.22)\r\n", - "monitor (0.1.6)\r\n", - "network (2.1.0)\r\n", - "nspkg (3.0.2)\r\n", - "profile (2.0.24)\r\n", - "rdbms (0.2.2)\r\n", - "redis (0.2.13)\r\n", - "reservations (0.1.2)\r\n", - "resource (2.0.28)\r\n", - "role (2.0.23)\r\n", - "servicebus (0.1.2)\r\n", - "servicefabric (0.0.12)\r\n", - "sql (2.0.25)\r\n", - "storage (2.0.32)\r\n", - "vm (2.0.31)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/miguel/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Apr 30 2018, 23:14:03) \r\n", - "[GCC 5.4.0 20160609]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "#short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch{uuid}share\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location Name\r\n", - "---------- ---------------\r\n", - "eastus batch067d6b7brg\r\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batch067d6b7bst provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join(json_data))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batch067d6b7bst\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=KDl0W3K9r/lqWHUQKKaNUQ4tHEFO9Oay7J5STdNH+ReZIMz0AIGnnN8fzPebXPYd2vCb7bWKPqPvQb9eWdIlvg==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "metadata": {}, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'val_map.txt')" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 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'?sp=r&st=2018-05-21T13:52:05Z&se=2025-05-21T21:52:05Z&spr=https,http&sv=2017-07-29&sig=YuPsiiPJ%2FUQTvs8U9i1uYuna8bQW5SiIxDGvl27wbyk%3D&sr=b' \\\n", - " --dest-key $storage_account_key --quiet\n", - " \n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1H[2018/05/21 12:25:30][WARNING] The command line \"--source \"https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz\" --destination \"/data/imagenet/train.tar.gz\" --source-sas ****** --quiet\" in the journal file \"/home/miguel/Microsoft/Azure/AzCopy/AzCopy.jnl\" is different from your input.\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/21 12:25:32][WARNING] Incomplete operation with different command line detected at the journal directory \"/home/miguel/Microsoft/Azure/AzCopy\".\n", - "\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 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"text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64 MB; Average Speed:2.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.784 MB; Average Speed:3.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 107.784 MB; Average Speed:3.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/21 15:00:41] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:38\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/cntk/train_map.txt \\\n", - " --destination $destination_url \\\n", - " --source-sas '?sp=r&st=2018-05-21T13:59:25Z&se=2025-05-21T21:59:25Z&spr=https&sv=2017-07-29&sig=Nl5%2FquqbqkaeJeZnM%2BNeX2T9mmMf%2BoLAJtV1OXugkdI%3D&sr=b' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'ImageNet1K_mean.xml')" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. 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"code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting nodeprep.sh\n" - ] - } - ], - "source": [ - "%%writefile nodeprep.sh\n", - "#!/usr/bin/env bash\n", - "mkdir -p $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "rsync --info=progress2 -r $AZ_BATCHAI_MOUNT_ROOT/extcn/ $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "cd $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "tar -xzf train.tar.gz\n", - "tar -xzf validation.tar.gz" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "Alive[################################################################] 100.0000%\r", - "Finished[#############################################################] 100.0000%\r\n" - ] - } - ], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source nodeprep.sh --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "Alive[################################################################] 100.0000%\r", - "Finished[#############################################################] 100.0000%\r\n" - ] - } - ], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetEstimatorCNTK.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "Alive[################################################################] 100.0000%\r", - "Finished[#############################################################] 100.0000%\r\n" - ] - } - ], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/resnet_models.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "cluster_dict = {\n", - " \"properties\": {\n", - " \"nodeSetup\": {\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"runElevated\": True,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " }\n", - " }\n", - " }\n", - "} " - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "write_json_to_file(cluster_dict, 'cluster.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\"properties\": {\"nodeSetup\": {\"setupTask\": {\"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\", \"runElevated\": true, \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\"}}}}" - ] - } - ], - "source": [ - "!cat cluster.json" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K{- Finished ..\n", - " \"additionalProperties\": {},\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-07-04T12:04:57.884000+00:00\",\n", - " \"creationTime\": \"2018-07-04T12:04:57.884000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/03909a66-bef8-4d52-8e9a-a346604e0902/resourceGroups/batch067d6b7brg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"additionalProperties\": {},\n", - " \"mountVolumes\": {\n", - " \"additionalProperties\": {},\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batch067d6b7bst\",\n", - " \"additionalProperties\": {},\n", - " \"containerName\": \"batch067d6b7bcontainer\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null,\n", - " \"additionalProperties\": {}\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batch067d6b7bst\",\n", - " \"additionalProperties\": {},\n", - " \"azureFileUrl\": \"https://batch067d6b7bst.file.core.windows.net/batch067d6b7bshare\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null,\n", - " \"additionalProperties\": {}\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"performanceCountersSettings\": null,\n", - " \"setupTask\": {\n", - " \"additionalProperties\": {},\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"environmentVariables\": null,\n", - " \"runElevated\": true,\n", - " \"secrets\": null,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"stdOutErrPathSuffix\": \"03909a66-bef8-4d52-8e9a-a346604e0902/batch067d6b7brg/clusters/nc24r/1d3613e0-d130-4e56-a81b-57f5214bd883\"\n", - " }\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"additionalProperties\": {},\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-07-04T12:04:58.681000+00:00\",\n", - " \"resourceGroup\": \"batch067d6b7brg\",\n", - " \"scaleSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"additionalProperties\": {},\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 10\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"additionalProperties\": {},\n", - " \"imageReference\": {\n", - " \"additionalProperties\": {},\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\",\n", - " \"virtualMachineImageId\": null\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n", - "\u001b[0m" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24r \\\n", - "--min 10 --max 10 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--container-name $CONTAINER_NAME \\\n", - "--container-mount-path extcn \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key \\\n", - "-c cluster.json" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"additionalProperties\": {},\r\n", - " \"allocationState\": \"resizing\",\r\n", - " \"allocationStateTransitionTime\": \"2018-07-04T11:48:32.869000+00:00\",\r\n", - " \"creationTime\": \"2018-07-04T11:48:32.869000+00:00\",\r\n", - " \"currentNodeCount\": 0,\r\n", - " \"errors\": null,\r\n", - " \"id\": \"/subscriptions/03909a66-bef8-4d52-8e9a-a346604e0902/resourceGroups/batch067d6b7brg/providers/Microsoft.BatchAI/clusters/nc24r\",\r\n", - " \"location\": \"eastus\",\r\n", - " \"name\": \"nc24r\",\r\n", - " \"nodeSetup\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"mountVolumes\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"azureBlobFileSystems\": [\r\n", - " {\r\n", - " \"accountName\": \"batch067d6b7bst\",\r\n", - " \"additionalProperties\": {},\r\n", - " \"containerName\": \"batch067d6b7bcontainer\",\r\n", - " \"credentials\": {\r\n", - " \"accountKey\": null,\r\n", - " \"accountKeySecretReference\": null,\r\n", - " \"additionalProperties\": {}\r\n", - " },\r\n", - " \"mountOptions\": null,\r\n", - " \"relativeMountPath\": \"extcn\"\r\n", - " }\r\n", - " ],\r\n", - " \"azureFileShares\": [\r\n", - " {\r\n", - " \"accountName\": \"batch067d6b7bst\",\r\n", - " \"additionalProperties\": {},\r\n", - " \"azureFileUrl\": \"https://batch067d6b7bst.file.core.windows.net/batch067d6b7bshare\",\r\n", - " \"credentials\": {\r\n", - " \"accountKey\": null,\r\n", - " \"accountKeySecretReference\": null,\r\n", - " \"additionalProperties\": {}\r\n", - " },\r\n", - " \"directoryMode\": \"0777\",\r\n", - " \"fileMode\": \"0777\",\r\n", - " \"relativeMountPath\": \"extfs\"\r\n", - " }\r\n", - " ],\r\n", - " \"fileServers\": null,\r\n", - " \"unmanagedFileSystems\": null\r\n", - " },\r\n", - " \"performanceCountersSettings\": null,\r\n", - " \"setupTask\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\r\n", - " \"environmentVariables\": null,\r\n", - " \"runElevated\": true,\r\n", - " \"secrets\": null,\r\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\r\n", - " \"stdOutErrPathSuffix\": \"03909a66-bef8-4d52-8e9a-a346604e0902/batch067d6b7brg/clusters/nc24r/8ce22821-0c07-49b1-a0bb-4df51c94dc56\"\r\n", - " }\r\n", - " },\r\n", - " \"nodeStateCounts\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"idleNodeCount\": 0,\r\n", - " \"leavingNodeCount\": 0,\r\n", - " \"preparingNodeCount\": 0,\r\n", - " \"runningNodeCount\": 0,\r\n", - " \"unusableNodeCount\": 0\r\n", - " },\r\n", - " \"provisioningState\": \"succeeded\",\r\n", - " \"provisioningStateTransitionTime\": \"2018-07-04T11:48:33.674000+00:00\",\r\n", - " \"resourceGroup\": \"batch067d6b7brg\",\r\n", - " \"scaleSettings\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"autoScale\": null,\r\n", - " \"manual\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"nodeDeallocationOption\": \"requeue\",\r\n", - " \"targetNodeCount\": 8\r\n", - " }\r\n", - " },\r\n", - " \"subnet\": null,\r\n", - " \"tags\": null,\r\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\r\n", - " \"userAccountSettings\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"adminUserName\": \"mat\",\r\n", - " \"adminUserPassword\": null,\r\n", - " \"adminUserSshPublicKey\": null\r\n", - " },\r\n", - " \"virtualMachineConfiguration\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"imageReference\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"offer\": \"UbuntuServer\",\r\n", - " \"publisher\": \"Canonical\",\r\n", - " \"sku\": \"16.04-LTS\",\r\n", - " \"version\": \"latest\",\r\n", - " \"virtualMachineImageId\": null\r\n", - " }\r\n", - " },\r\n", - " \"vmPriority\": \"dedicated\",\r\n", - " \"vmSize\": \"STANDARD_NC24r\"\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\r\n", - "------ ---------------- -------------- ------- ------ --------- ----------- --------- ----------\r\n", - "nc24r batch067d6b7brg STANDARD_NC24r steady 10 0 0 0 0\r\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table " - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ID IP Port\r\n", - "---------------------------------- ------------- ------\r\n", - "tvm-3657382398_1-20180704t120652z 40.121.64.164 50000\r\n", - "tvm-3657382398_10-20180704t120652z 40.121.64.164 50007\r\n", - "tvm-3657382398_2-20180704t120652z 40.121.64.164 50004\r\n", - "tvm-3657382398_3-20180704t120652z 40.121.64.164 50008\r\n", - "tvm-3657382398_4-20180704t120652z 40.121.64.164 50001\r\n", - "tvm-3657382398_5-20180704t120652z 40.121.64.164 50005\r\n", - "tvm-3657382398_6-20180704t120652z 40.121.64.164 50009\r\n", - "tvm-3657382398_7-20180704t120652z 40.121.64.164 50002\r\n", - "tvm-3657382398_8-20180704t120652z 40.121.64.164 50006\r\n", - "tvm-3657382398_9-20180704t120652z 40.121.64.164 50003\r\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2018-05-01/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 2,\n", - " \"cntkSettings\": {\n", - " \"pythonScriptFilePath\": \"$AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorCNTK.py\",\n", - " \"processCount\": 8\n", - " },\n", - " \"environmentVariables\": [{\n", - " \"name\": \"DISTRIBUTED\",\n", - " \"value\": \"True\"\n", - " }],\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"microsoft/cntk:2.5.1-gpu-python3.5-cuda9.0-cudnn7.0\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K{- Finished ..\n", - " \"additionalProperties\": {},\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/03909a66-bef8-4d52-8e9a-a346604e0902/resourceGroups/batch067d6b7brg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batch067d6b7brg\"\n", - " },\n", - " \"cntkSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"commandLineArgs\": null,\n", - " \"configFilePath\": null,\n", - " \"languageType\": \"Python\",\n", - " \"processCount\": 8,\n", - " \"pythonInterpreterPath\": null,\n", - " \"pythonScriptFilePath\": \"$AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorCNTK.py\"\n", - " },\n", - " \"constraints\": {\n", - " \"additionalProperties\": {},\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"imageSourceRegistry\": {\n", - " \"additionalProperties\": {},\n", - " \"credentials\": null,\n", - " \"image\": \"microsoft/cntk:2.5.1-gpu-python3.5-cuda9.0-cudnn7.0\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-07-04T13:21:09.485000+00:00\",\n", - " \"customToolkitSettings\": null,\n", - " \"environmentVariables\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"name\": \"DISTRIBUTED\",\n", - " \"value\": \"True\"\n", - " }\n", - " ],\n", - " \"executionInfo\": {\n", - " \"additionalProperties\": {},\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-07-04T13:21:11.590000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-07-04T13:21:11.919000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/03909a66-bef8-4d52-8e9a-a346604e0902/resourceGroups/batch067d6b7brg/providers/Microsoft.BatchAI/jobs/cntk_new\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\"\n", - " }\n", - " ],\n", - " \"jobOutputDirectoryPathSegment\": \"03909a66-bef8-4d52-8e9a-a346604e0902/batch067d6b7brg/jobs/cntk_new/81cdffbf-3896-4751-8410-9ee3a1894ee6\",\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"mountVolumes\": null,\n", - " \"name\": \"cntk_new\",\n", - " \"nodeCount\": 2,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-07-04T13:21:10.876000+00:00\",\n", - " \"pyTorchSettings\": null,\n", - " \"resourceGroup\": \"batch067d6b7brg\",\n", - " \"secrets\": null,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"cntk\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n", - "\u001b[0m" - ] - } - ], - "source": [ - "!az batchai job create -n cntk_new --cluster-name nc24r -c job.json -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az batchai job list -o table -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mFile found with URL \"https://batch067d6b7bst.file.core.windows.net/batch067d6b7bshare/03909a66-bef8-4d52-8e9a-a346604e0902/batch067d6b7brg/jobs/cntk_old14/63a46541-cbdc-4388-bcee-5ab48a2ce1ea/stdouterr/stdout.txt?sv=2016-05-31&sr=f&sig=oWcYRg5hWL00MHxtji1HxbztisaAHbMxQxQfgDPWs0s%3D&se=2018-06-15T16%3A35%3A37Z&sp=rl\". Start streaming\u001b[0m\n", - "\n", - "************************************************************\n", - "Welcome to Microsoft Cognitive Toolkit (CNTK) v. 2.5\n", - "\n", - "Activating CNTK environment...\n", - "\n", - "(Use command below to activate manually when needed)\n", - "\n", - " source \"/cntk/activate-cntk\"\n", - "\n", - "************************************************************\n", - "CNTK is activated.\n", - "\n", - "Please checkout tutorials and examples here:\n", - " /cntk/Tutorials\n", - " /cntk/Examples\n", - "\n", - "To deactivate the environment run\n", - "\n", - " source /root/anaconda3/bin/deactivate\n", - "\n", - "************************************************************\n", - "\n", - "************************************************************\n", - "Welcome to Microsoft Cognitive Toolkit (CNTK) v. 2.5\n", - "\n", - "Activating CNTK environment...\n", - "\n", - "(Use command below to activate manually when needed)\n", - "\n", - " source \"/cntk/activate-cntk\"\n", - "\n", - "************************************************************\n", - "Welcome to Microsoft Cognitive Toolkit (CNTK) v. 2.5\n", - "\n", - "Activating CNTK environment...\n", - "\n", - "(Use command below to activate manually when needed)\n", - "\n", - " source \"/cntk/activate-cntk\"\n", - "\n", - "************************************************************\n", - "Welcome to Microsoft Cognitive Toolkit (CNTK) v. 2.5\n", - "\n", - "Activating CNTK environment...\n", - "\n", - "(Use command below to activate manually when needed)\n", - "\n", - " source \"/cntk/activate-cntk\"\n", - "\n", - "************************************************************\n", - "Welcome to Microsoft Cognitive Toolkit (CNTK) v. 2.5\n", - "\n", - "Activating CNTK environment...\n", - "\n", - "(Use command below to activate manually when needed)\n", - "\n", - " source \"/cntk/activate-cntk\"\n", - "\n", - "************************************************************\n", - "Welcome to Microsoft Cognitive Toolkit (CNTK) v. 2.5\n", - "\n", - "Activating CNTK environment...\n", - "\n", - "(Use command below to activate manually when needed)\n", - "\n", - " source \"/cntk/activate-cntk\"\n", - "\n", - "************************************************************\n", - "Welcome to Microsoft Cognitive Toolkit (CNTK) v. 2.5\n", - "\n", - "Activating CNTK environment...\n", - "\n", - "(Use command below to activate manually when needed)\n", - "\n", - " source \"/cntk/activate-cntk\"\n", - "\n", - "************************************************************\n", - "Welcome to Microsoft Cognitive Toolkit (CNTK) v. 2.5\n", - "\n", - "Activating CNTK environment...\n", - "\n", - "(Use command below to activate manually when needed)\n", - "\n", - " source \"/cntk/activate-cntk\"\n", - "\n", - "************************************************************\n", - "Welcome to Microsoft Cognitive Toolkit (CNTK) v. 2.5\n", - "\n", - "Activating CNTK environment...\n", - "\n", - "(Use command below to activate manually when needed)\n", - "\n", - " source \"/cntk/activate-cntk\"\n", - "\n", - "************************************************************\n", - "CNTK is activated.\n", - "\n", - "Please checkout tutorials and examples here:\n", - " /cntk/Tutorials\n", - " /cntk/Examples\n", - "\n", - "To deactivate the environment run\n", - "\n", - " source /root/anaconda3/bin/deactivate\n", - "\n", - "************************************************************\n", - "\n", - "************************************************************\n", - "CNTK is activated.\n", - "\n", - "Please checkout tutorials and examples here:\n", - " /cntk/Tutorials\n", - " /cntk/Examples\n", - "\n", - "To deactivate the environment run\n", - "\n", - " source /root/anaconda3/bin/deactivate\n", - "\n", - "************************************************************\n", - "\n", - "************************************************************\n", - "CNTK is activated.\n", - "\n", - "Please checkout tutorials and examples here:\n", - " /cntk/Tutorials\n", - " /cntk/Examples\n", - "\n", - "To deactivate the environment run\n", - "\n", - " source /root/anaconda3/bin/deactivate\n", - "\n", - "************************************************************\n", - "\n", - "************************************************************\n", - "CNTK is activated.\n", - "\n", - "Please checkout tutorials and examples here:\n", - " /cntk/Tutorials\n", - " /cntk/Examples\n", - "\n", - "To deactivate the environment run\n", - "\n", - " source /root/anaconda3/bin/deactivate\n", - "\n", - "************************************************************\n", - "\n", - "************************************************************\n", - "CNTK is activated.\n", - "\n", - "Please checkout tutorials and examples here:\n", - " /cntk/Tutorials\n", - " /cntk/Examples\n", - "\n", - "To deactivate the environment run\n", - "\n", - " source /root/anaconda3/bin/deactivate\n", - "\n", - "************************************************************\n", - "\n", - "************************************************************\n", - "CNTK is activated.\n", - "\n", - "Please checkout tutorials and examples here:\n", - " /cntk/Tutorials\n", - " /cntk/Examples\n", - "\n", - "To deactivate the environment run\n", - "\n", - " source /root/anaconda3/bin/deactivate\n", - "\n", - "************************************************************\n", - "\n", - "************************************************************\n", - "CNTK is activated.\n", - "\n", - "Please checkout tutorials and examples here:\n", - " /cntk/Tutorials\n", - " /cntk/Examples\n", - "\n", - "To deactivate the environment run\n", - "\n", - " source /root/anaconda3/bin/deactivate\n", - "\n", - "************************************************************\n", - "\n", - "************************************************************\n", - "CNTK is activated.\n", - "\n", - "Please checkout tutorials and examples here:\n", - " /cntk/Tutorials\n", - " /cntk/Examples\n", - "\n", - "To deactivate the environment run\n", - "\n", - " source /root/anaconda3/bin/deactivate\n", - "\n", - "************************************************************\n", - "--------------------------------------------------------------------------\n", - "No OpenFabrics connection schemes reported that they were able to be\n", - "used on a specific port. As such, the openib BTL (OpenFabrics\n", - "support) will be disabled for this port.\n", - "\n", - " Local host: 97131f5526a143d0b6a9c72e58c2b04c000001\n", - " Local device: mlx4_0\n", - " Local port: 1\n", - " CPCs attempted: udcm\n", - "--------------------------------------------------------------------------\n", - "Learning rate per minibatch: 0.001\n", - "Momentum per minibatch: 0.9\n", - "Learning rate per minibatch: 0.001\n", - "Momentum per minibatch: 0.9\n", - "Learning rate per minibatch: 0.001\n", - "Momentum per minibatch: 0.9\n", - "Learning rate per minibatch: 0.001\n", - "Momentum per minibatch: 0.9\n", - "Learning rate per minibatch: 0.001\n", - "Momentum per minibatch: 0.9\n", - "Learning rate per minibatch: 0.001\n", - "Momentum per minibatch: 0.9\n", - "Learning rate per minibatch: 0.001\n", - "Momentum per minibatch: 0.9\n", - "Learning rate per minibatch: 0.001\n", - "Momentum per minibatch: 0.9\n", - " Minibatch[ 1- 100]: loss = 6.927460 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 1- 100]: loss = 6.927460 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 1- 100]: loss = 6.927461 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 1- 100]: loss = 6.927462 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 1- 100]: loss = 6.927461 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 1- 100]: loss = 6.927462 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 1- 100]: loss = 6.927460 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 1- 100]: loss = 6.927462 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 101- 200]: loss = 6.927586 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 101- 200]: loss = 6.927587 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 101- 200]: loss = 6.927586 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 101- 200]: loss = 6.927585 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 101- 200]: loss = 6.927586 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 101- 200]: loss = 6.927586 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 101- 200]: loss = 6.927586 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 101- 200]: loss = 6.927586 * 6400, metric = 99.89% * 6400;\n", - " Minibatch[ 201- 300]: loss = 6.915735 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 201- 300]: loss = 6.915735 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 201- 300]: loss = 6.915736 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 201- 300]: loss = 6.915735 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 201- 300]: loss = 6.915735 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 201- 300]: loss = 6.915736 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 201- 300]: loss = 6.915734 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 201- 300]: loss = 6.915734 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 301- 400]: loss = 6.918853 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 301- 400]: loss = 6.918855 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 301- 400]: loss = 6.918857 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 301- 400]: loss = 6.918855 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 301- 400]: loss = 6.918855 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 301- 400]: loss = 6.918855 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 301- 400]: loss = 6.918857 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 301- 400]: loss = 6.918855 * 6400, metric = 99.92% * 6400;\n", - " Minibatch[ 401- 500]: loss = 6.914236 * 6400, metric = 99.86% * 6400;\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Minibatch[ 401- 500]: loss = 6.914238 * 6400, metric = 99.86% * 6400;\n", - " Minibatch[ 401- 500]: loss = 6.914236 * 6400, metric = 99.86% * 6400;\n", - " Minibatch[ 401- 500]: loss = 6.914236 * 6400, metric = 99.86% * 6400;\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job file stream -n cntk_benchmark -g $GROUP_NAME -f stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K - Finished ..\u001b[0m" - ] - } - ], - "source": [ - "!az batchai job delete --name cntk_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K\u001b[0minished .." - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/CNTKImagenetBatchAI-NFS.ipynb b/_tmp/CNTKImagenetBatchAI-NFS.ipynb deleted file mode 100644 index ab2e449..0000000 --- a/_tmp/CNTKImagenetBatchAI-NFS.ipynb +++ /dev/null @@ -1,1060 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "MSEG_11036568 _A&I_Tabulars_RnD_01 AzureCloud 3260c1d9-fc9f-430a-9e98-17ff73167db0 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "IMML R Engineering-SQL-ExpressRoute AzureCloud b3bef994-be52-4b6a-be38-43cf1b09f12b Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "!az account set -s \"\"\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.32)\r\n", - "\r\n", - "acr (2.0.24)\r\n", - "acs (2.0.32)\r\n", - "advisor (0.5.1)\r\n", - "ams (0.1.0)\r\n", - "appservice (0.1.32)\r\n", - "backup (1.1.1)\r\n", - "batch (3.2.2)\r\n", - "batchai (0.2.2)\r\n", - "billing (0.1.8)\r\n", - "cdn (0.0.14)\r\n", - "cloud (2.0.13)\r\n", - "cognitiveservices (0.1.13)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.15)\r\n", - "consumption (0.3.1)\r\n", - "container (0.1.23)\r\n", - "core (2.0.32)\r\n", - "cosmosdb (0.1.21)\r\n", - "dla (0.0.19)\r\n", - "dls (0.0.21)\r\n", - "dms (0.0.1)\r\n", - "eventgrid (0.1.12)\r\n", - "eventhubs (0.1.3)\r\n", - "extension (0.0.13)\r\n", - "feedback (2.1.1)\r\n", - "find (0.2.9)\r\n", - "interactive (0.3.20)\r\n", - "iot (0.1.20)\r\n", - "keyvault (2.0.21)\r\n", - "lab (0.0.22)\r\n", - "monitor (0.1.6)\r\n", - "network (2.1.0)\r\n", - "nspkg (3.0.2)\r\n", - "profile (2.0.24)\r\n", - "rdbms (0.2.2)\r\n", - "redis (0.2.13)\r\n", - "reservations (0.1.2)\r\n", - "resource (2.0.28)\r\n", - "role (2.0.23)\r\n", - "servicebus (0.1.2)\r\n", - "servicefabric (0.0.12)\r\n", - "sql (2.0.25)\r\n", - "storage (2.0.32)\r\n", - "vm (2.0.31)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/hoaphumanoid/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, May 1 2018, 17:46:32) \r\n", - "[GCC 4.7.2]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "#short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch{uuid}share\".format(uuid=short_uuid)\n", - "NFS_NAME=\"batch{uuid}nfs\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location Name\r\n", - "---------- ---------------\r\n", - "eastus batch80ca5fa5rg\r\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batch80ca5fa5st provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join(json_data))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batch80ca5fa5st\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=0b5FROnd9S+VNiQDDMl9/tlPkCje003NE14/ks9n9DUBf+x7TbEC2dq2wwUOGq+jDyEhclN3/WqPpbpWmD4IaQ==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K{- Finished ..\n", - " \"additionalProperties\": {},\n", - " \"creationTime\": \"2018-06-04T16:03:03.580000+00:00\",\n", - " \"dataDisks\": {\n", - " \"additionalProperties\": {},\n", - " \"cachingType\": \"none\",\n", - " \"diskCount\": 4,\n", - " \"diskSizeInGb\": 250,\n", - " \"storageAccountType\": \"Premium_LRS\"\n", - " },\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batch80ca5fa5rg/providers/Microsoft.BatchAI/fileservers/batch80ca5fa5nfs\",\n", - " \"location\": \"eastus\",\n", - " \"mountSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"fileServerInternalIp\": \"10.0.0.4\",\n", - " \"fileServerPublicIp\": \"40.117.128.168\",\n", - " \"fileServerType\": \"nfs\",\n", - " \"mountPoint\": \"/data\"\n", - " },\n", - " \"name\": \"batch80ca5fa5nfs\",\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-06-04T16:06:51.732000+00:00\",\n", - " \"resourceGroup\": \"batch80ca5fa5rg\",\n", - " \"sshConfiguration\": {\n", - " \"additionalProperties\": {},\n", - " \"publicIpsToAllow\": null,\n", - " \"userAccountSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-128eca4a-299b-4e5c-a641-cd8de87534da/providers/Microsoft.Network/virtualNetworks/128eca4a-299b-4e5c-a641-cd8de87534davnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-128eca4a-299b-4e5c-a641-cd8de87534da\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/FileServers\",\n", - " \"vmSize\": \"Standard_DS4_v2\"\n", - "}\n", - "\u001b[0m" - ] - } - ], - "source": [ - "!az batchai file-server create -n $NFS_NAME --disk-count 4 --disk-size 250 -s Standard_DS4_v2 -u mat -p d13NHAL! -g $GROUP_NAME -l $LOCATION --storage-sku Premium_LRS \n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name Resource Group Size Disks Public IP Internal IP Type Mount Point\r\n", - "---------------- ---------------- --------------- ---------- -------------- ------------- ------ -------------\r\n", - "batch80ca5fa5nfs batch80ca5fa5rg Standard_DS4_v2 4 x 250 Gb 40.117.128.168 10.0.0.4 nfs /data\r\n" - ] - } - ], - "source": [ - "!az batchai file-server list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting nodeprep.sh\n" - ] - } - ], - "source": [ - "%%writefile nodeprep.sh\n", - "#!/usr/bin/env bash\n", - "wget https://gist.githubusercontent.com/msalvaris/073c28a9993d58498957294d20d74202/raw/916eefe763c71da49d8ed41cb8474bdc8021af33/install_azcopy\n", - "chmod 777 install_azcopy\n", - "sudo ./install_azcopy\n", - "\n", - "mkdir -p /data/imagenet\n", - "\n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/cntk/val_map.txt \\\n", - " --destination /data/imagenet/val_map.txt \\\n", - " --source-sas '?sp=r&st=2018-05-21T13:52:05Z&se=2025-05-21T21:52:05Z&spr=https,http&sv=2017-07-29&sig=YuPsiiPJ%2FUQTvs8U9i1uYuna8bQW5SiIxDGvl27wbyk%3D&sr=b' \\\n", - " --quiet\n", - " \n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz \\\n", - " --destination /data/imagenet/validation.tar.gz\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D\"\\\n", - " --quiet\n", - "\n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/cntk/train_map.txt \\\n", - " --destination /data/imagenet/train_map.txt \\\n", - " --source-sas '?sp=r&st=2018-05-21T13:59:25Z&se=2025-05-21T21:59:25Z&spr=https&sv=2017-07-29&sig=Nl5%2FquqbqkaeJeZnM%2BNeX2T9mmMf%2BoLAJtV1OXugkdI%3D&sr=b' \\\n", - " --quiet \n", - " \n", - " \n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz \\\n", - " --destination /data/imagenet/train.tar.gz\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=qP%2B7lQuFKHo5UhQKpHcKt6p5fHT21lPaLz1O/vv4FNU%3D\"\\\n", - " --quiet\n", - "\n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/cntk/ImageNet1K_mean.xml \\\n", - " --destination /data/imagenet/ImageNet1K_mean.xml \\\n", - " --source-sas '?sp=r&st=2018-05-21T14:00:22Z&se=2025-05-21T22:00:22Z&spr=https&sv=2017-07-29&sig=iZgfdPr1vgEHqLJPdOteBulaUQudh6etVH%2FzJ9wGGPU%3D&sr=b' \\\n", - " --quiet\n", - " \n", - "cd /data/imagenet\n", - "tar -xvzf train.tar.gz\n", - "tar -xzvf validation.tar.gz" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Copy the file over and run it on the NFS VM. This will install azcopy and download and prepare the data\n", - "\n", - "```bash\n", - "scp nodeprep.sh mat@:~/\n", - "ssh mat@ sudo chmod 777 ~/nodeprep.sh\n", - "ssh mat@ ./nodeprep.sh\n", - "```\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "Alive[################################################################] 100.0000%\r", - "Finished[#############################################################] 100.0000%\r\n" - ] - } - ], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetEstimatorCNTK.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "Alive[################################################################] 100.0000%\r", - "Finished[#############################################################] 100.0000%\r\n" - ] - } - ], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/resnet_models.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K{- Finished ..\n", - " \"additionalProperties\": {},\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-06-15T15:55:42.346000+00:00\",\n", - " \"creationTime\": \"2018-06-15T15:55:42.346000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batch80ca5fa5rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"additionalProperties\": {},\n", - " \"mountVolumes\": {\n", - " \"additionalProperties\": {},\n", - " \"azureBlobFileSystems\": null,\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batch80ca5fa5st\",\n", - " \"additionalProperties\": {},\n", - " \"azureFileUrl\": \"https://batch80ca5fa5st.file.core.windows.net/batch80ca5fa5share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null,\n", - " \"additionalProperties\": {}\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"fileServer\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batch80ca5fa5rg/providers/Microsoft.BatchAI/fileservers/batch80ca5fa5nfs\",\n", - " \"resourceGroup\": \"batch80ca5fa5rg\"\n", - " },\n", - " \"mountOptions\": \"rw\",\n", - " \"relativeMountPath\": \"nfs\",\n", - " \"sourceDirectory\": null\n", - " }\n", - " ],\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"performanceCountersSettings\": null,\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"additionalProperties\": {},\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-06-15T15:55:43.904000+00:00\",\n", - " \"resourceGroup\": \"batch80ca5fa5rg\",\n", - " \"scaleSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"additionalProperties\": {},\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 8\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-128eca4a-299b-4e5c-a641-cd8de87534da/providers/Microsoft.Network/virtualNetworks/128eca4a-299b-4e5c-a641-cd8de87534davnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-128eca4a-299b-4e5c-a641-cd8de87534da\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"additionalProperties\": {},\n", - " \"imageReference\": {\n", - " \"additionalProperties\": {},\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\",\n", - " \"virtualMachineImageId\": null\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24RS_V3\"\n", - "}\n", - "\u001b[0m" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24rs_v3 \\\n", - "--min 8 --max 8 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key \\\n", - "--nfs $NFS_NAME \\\n", - "--nfs-mount-path nfs" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"additionalProperties\": {},\r\n", - " \"allocationState\": \"resizing\",\r\n", - " \"allocationStateTransitionTime\": \"2018-06-15T15:55:42.346000+00:00\",\r\n", - " \"creationTime\": \"2018-06-15T15:55:42.346000+00:00\",\r\n", - " \"currentNodeCount\": 0,\r\n", - " \"errors\": null,\r\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batch80ca5fa5rg/providers/Microsoft.BatchAI/clusters/nc24r\",\r\n", - " \"location\": \"eastus\",\r\n", - " \"name\": \"nc24r\",\r\n", - " \"nodeSetup\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"mountVolumes\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"azureBlobFileSystems\": null,\r\n", - " \"azureFileShares\": [\r\n", - " {\r\n", - " \"accountName\": \"batch80ca5fa5st\",\r\n", - " \"additionalProperties\": {},\r\n", - " \"azureFileUrl\": \"https://batch80ca5fa5st.file.core.windows.net/batch80ca5fa5share\",\r\n", - " \"credentials\": {\r\n", - " \"accountKey\": null,\r\n", - " \"accountKeySecretReference\": null,\r\n", - " \"additionalProperties\": {}\r\n", - " },\r\n", - " \"directoryMode\": \"0777\",\r\n", - " \"fileMode\": \"0777\",\r\n", - " \"relativeMountPath\": \"extfs\"\r\n", - " }\r\n", - " ],\r\n", - " \"fileServers\": [\r\n", - " {\r\n", - " \"additionalProperties\": {},\r\n", - " \"fileServer\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batch80ca5fa5rg/providers/Microsoft.BatchAI/fileservers/batch80ca5fa5nfs\",\r\n", - " \"resourceGroup\": \"batch80ca5fa5rg\"\r\n", - " },\r\n", - " \"mountOptions\": \"rw\",\r\n", - " \"relativeMountPath\": \"nfs\",\r\n", - " \"sourceDirectory\": null\r\n", - " }\r\n", - " ],\r\n", - " \"unmanagedFileSystems\": null\r\n", - " },\r\n", - " \"performanceCountersSettings\": null,\r\n", - " \"setupTask\": null\r\n", - " },\r\n", - " \"nodeStateCounts\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"idleNodeCount\": 0,\r\n", - " \"leavingNodeCount\": 0,\r\n", - " \"preparingNodeCount\": 0,\r\n", - " \"runningNodeCount\": 0,\r\n", - " \"unusableNodeCount\": 0\r\n", - " },\r\n", - " \"provisioningState\": \"succeeded\",\r\n", - " \"provisioningStateTransitionTime\": \"2018-06-15T15:55:43.904000+00:00\",\r\n", - " \"resourceGroup\": \"batch80ca5fa5rg\",\r\n", - " \"scaleSettings\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"autoScale\": null,\r\n", - " \"manual\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"nodeDeallocationOption\": \"requeue\",\r\n", - " \"targetNodeCount\": 8\r\n", - " }\r\n", - " },\r\n", - " \"subnet\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-128eca4a-299b-4e5c-a641-cd8de87534da/providers/Microsoft.Network/virtualNetworks/128eca4a-299b-4e5c-a641-cd8de87534davnet/subnets/Subnet-1\",\r\n", - " \"resourceGroup\": \"fileserverrg-128eca4a-299b-4e5c-a641-cd8de87534da\"\r\n", - " },\r\n", - " \"tags\": null,\r\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\r\n", - " \"userAccountSettings\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"adminUserName\": \"mat\",\r\n", - " \"adminUserPassword\": null,\r\n", - " \"adminUserSshPublicKey\": null\r\n", - " },\r\n", - " \"virtualMachineConfiguration\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"imageReference\": {\r\n", - " \"additionalProperties\": {},\r\n", - " \"offer\": \"UbuntuServer\",\r\n", - " \"publisher\": \"Canonical\",\r\n", - " \"sku\": \"16.04-LTS\",\r\n", - " \"version\": \"latest\",\r\n", - " \"virtualMachineImageId\": null\r\n", - " }\r\n", - " },\r\n", - " \"vmPriority\": \"dedicated\",\r\n", - " \"vmSize\": \"STANDARD_NC24RS_V3\"\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\r\n", - "------ ---------------- ------------------ ------- ------ --------- ----------- --------- ----------\r\n", - "nc24r batch80ca5fa5rg STANDARD_NC24RS_V3 steady 8 0 0 0 0\r\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 104, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ID IP Port\r\n", - "--------------------------------- ------------- ------\r\n", - "tvm-4155946844_1-20180605t151846z 13.68.131.112 50006\r\n", - "tvm-4155946844_2-20180605t151846z 13.68.131.112 50002\r\n", - "tvm-4155946844_3-20180605t151846z 13.68.131.112 50005\r\n", - "tvm-4155946844_4-20180605t151846z 13.68.131.112 50001\r\n", - "tvm-4155946844_5-20180605t151846z 13.68.131.112 50004\r\n", - "tvm-4155946844_6-20180605t151846z 13.68.131.112 50000\r\n", - "tvm-4155946844_7-20180605t151846z 13.68.131.112 50007\r\n", - "tvm-4155946844_8-20180605t151846z 13.68.131.112 50003\r\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2018-03-01/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 2,\n", - " \"cntkSettings\": {\n", - " \"pythonScriptFilePath\": \"$AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorCNTK.py\",\n", - " \"processCount\": 8\n", - " },\n", - " \"environmentVariables\": [{\n", - " \"name\": \"DISTRIBUTED\",\n", - " \"value\": \"True\"\n", - " }],\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"microsoft/cntk:2.5.1-gpu-python3.5-cuda9.0-cudnn7.0\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job_nfs.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K{- Finished ..\n", - " \"additionalProperties\": {},\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batch80ca5fa5rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batch80ca5fa5rg\"\n", - " },\n", - " \"cntkSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"commandLineArgs\": null,\n", - " \"configFilePath\": null,\n", - " \"languageType\": \"Python\",\n", - " \"processCount\": 8,\n", - " \"pythonInterpreterPath\": null,\n", - " \"pythonScriptFilePath\": \"$AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorCNTK.py\"\n", - " },\n", - " \"constraints\": {\n", - " \"additionalProperties\": {},\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"imageSourceRegistry\": {\n", - " \"additionalProperties\": {},\n", - " \"credentials\": null,\n", - " \"image\": \"microsoft/cntk:2.5.1-gpu-python3.5-cuda9.0-cudnn7.0\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-06-15T17:02:10.768000+00:00\",\n", - " \"customToolkitSettings\": null,\n", - " \"environmentVariables\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"name\": \"DISTRIBUTED\",\n", - " \"value\": \"True\"\n", - " }\n", - " ],\n", - " \"executionInfo\": {\n", - " \"additionalProperties\": {},\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-06-15T17:02:12.844000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-06-15T17:02:12.886000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batch80ca5fa5rg/providers/Microsoft.BatchAI/jobs/cntk_benchmarkc\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\"\n", - " }\n", - " ],\n", - " \"jobOutputDirectoryPathSegment\": \"edf507a2-6235-46c5-b560-fd463ba2e771/batch80ca5fa5rg/jobs/cntk_benchmarkc/6e499099-adf1-48f2-9df0-b14f30a66c4c\",\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"mountVolumes\": null,\n", - " \"name\": \"cntk_benchmarkc\",\n", - " \"nodeCount\": 2,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-06-15T17:02:11.612000+00:00\",\n", - " \"pyTorchSettings\": null,\n", - " \"resourceGroup\": \"batch80ca5fa5rg\",\n", - " \"secrets\": null,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"cntk\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n", - "\u001b[0m" - ] - } - ], - "source": [ - "!az batchai job create -n cntk_benchmark --cluster-name nc24r -c job_nfs.json -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name Resource Group Cluster Cluster RG Tool Nodes State\r\n", - "-------------- ---------------- --------- --------------- ------ ------- -------\r\n", - "cntk_benchmark batch80ca5fa5rg nc24r batch80ca5fa5rg cntk 8 queued\r\n" - ] - } - ], - "source": [ - "!az batchai job list -o table -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az batchai job file stream -n cntk_benchmark -g $GROUP_NAME -f stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 116, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K\u001b[0minished .." - ] - } - ], - "source": [ - "!az batchai job delete --name cntk_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 166, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K\u001b[0minished .." - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/HorovodImagenetBatchAI-Blob.ipynb b/_tmp/HorovodImagenetBatchAI-Blob.ipynb deleted file mode 100644 index cc8438a..0000000 --- a/_tmp/HorovodImagenetBatchAI-Blob.ipynb +++ /dev/null @@ -1,3612 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mTo sign in, use a web browser to open the page https://microsoft.com/devicelogin and enter the code BSHR6F4TQ to authenticate.\u001b[0m\n", - "CloudName Name State TenantId IsDefault\n", - "----------- ----------------------------- ------- ------------------------------------ -----------\n", - "AzureCloud Boston DS Dev Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Azure Internal - London Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Danielle Internal Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47 True\n", - "AzureCloud Visual Studio Enterprise Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Boston Engineering Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ADLTrainingMS Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud UST Container Registration Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyExt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Ads Eng Big Data Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling Preview Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling development Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud AzureML Client PROD Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud R portal - Production Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyInt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Project Vienna Demo 1 Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ASutton Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Solution Template Testing Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Ilan Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Marketing Automation Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n" - ] - } - ], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.24)\r\n", - "\r\n", - "acr (2.0.18)\r\n", - "acs (2.0.23)\r\n", - "advisor (0.1.1)\r\n", - "appservice (0.1.23)\r\n", - "backup (1.0.4)\r\n", - "batch (3.1.8)\r\n", - "batchai (0.1.4)\r\n", - "billing (0.1.7)\r\n", - "cdn (0.0.11)\r\n", - "cloud (2.0.11)\r\n", - "cognitiveservices (0.1.10)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.13)\r\n", - "consumption (0.2.1)\r\n", - "container (0.1.16)\r\n", - "core (2.0.24)\r\n", - "cosmosdb (0.1.16)\r\n", - "dla (0.0.16)\r\n", - "dls (0.0.19)\r\n", - "eventgrid (0.1.7)\r\n", - "extension (0.0.7)\r\n", - "feedback (2.0.7)\r\n", - "find (0.2.8)\r\n", - "interactive (0.3.12)\r\n", - "iot (0.1.16)\r\n", - "keyvault (2.0.16)\r\n", - "lab (0.0.14)\r\n", - "monitor (0.0.14)\r\n", - "network (2.0.20)\r\n", - "nspkg (3.0.1)\r\n", - "profile (2.0.17)\r\n", - "rdbms (0.0.10)\r\n", - "redis (0.2.11)\r\n", - "reservations (0.1.1)\r\n", - "resource (2.0.20)\r\n", - "role (2.0.16)\r\n", - "servicefabric (0.0.8)\r\n", - "sql (2.0.18)\r\n", - "storage (2.0.22)\r\n", - "vm (2.0.23)\r\n", - "\r\n", - "Extensions:\r\n", - "azure-cli-machinelearning (0.0.97)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/mat/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Jan 5 2018, 21:18:08) \r\n", - "[GCC 4.8.4]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch{uuid}share\".format(uuid=short_uuid)\n", - "NFS_NAME=\"batch{uuid}nfs\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location Name\r\n", - "---------- ---------------\r\n", - "eastus batchfcab5890rg\r\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batchfcab5890st provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join([i for i in json_data if 'WARNING' not in i]))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batchfcab5890st\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=qTUeM/dh+vIhiKcrYx3EkvJKEOACztR2D7GAxE/5bRXnkxdU1T3e1JyYmbL4Rr43AMt6NMYW3OXPrg0iiyLk1g==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation')" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.114 KB; Average Speed:3.67 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 227.659 KB; Average Speed:14.01 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 227.659 KB; Average Speed:12.44 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 3 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 47958 file(s), 5.988 GB; Average Speed:10.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 48136 file(s), 6.011 GB; Average Speed:10.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 48325 file(s), 6.035 GB; Average Speed:10.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 48476 file(s), 6.056 GB; Average Speed:10.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 48686 file(s), 6.083 GB; Average Speed:10.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 48883 file(s), 6.107 GB; Average Speed:10.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49055 file(s), 6.131 GB; Average Speed:10.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49241 file(s), 6.154 GB; Average Speed:10.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49422 file(s), 6.175 GB; Average Speed:10.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49645 file(s), 6.201 GB; Average Speed:10.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49832 file(s), 6.224 GB; Average Speed:10.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49999 file(s), 6.246 GB; Average Speed:10.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49999 file(s), 6.246 GB; Average Speed:10.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 50000 file(s), 6.246 GB; Average Speed:10.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 50000 of total 50000 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/12 21:30:14] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 50000\n", - "Transfer successfully: 50000\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:10:11\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet --recursive " - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train')" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.852 KB; Average Speed:2.36 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 180 file(s), 16.8 MB; Average Speed:582.67 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 255 file(s), 22.8 MB; Average Speed:739.49 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 346 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"\u001b[1;1H\u001b[6nFinished: 85470 file(s), 10.192 GB; Average Speed:1.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 85712 file(s), 10.213 GB; Average Speed:1.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 85998 file(s), 10.24 GB; Average Speed:1.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 86178 file(s), 10.255 GB; Average Speed:1.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 86379 file(s), 10.279 GB; Average Speed:2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 86631 file(s), 10.307 GB; Average Speed:2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 86870 file(s), 10.328 GB; Average Speed:2.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 87164 file(s), 10.352 GB; Average Speed:2.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 87337 file(s), 10.375 GB; Average Speed:2.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 87529 file(s), 10.405 GB; Average Speed:2.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 87701 file(s), 10.429 GB; Average Speed:2.02 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 275415 file(s), 31.495 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 275637 file(s), 31.516 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 275863 file(s), 31.539 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 275927 file(s), 31.545 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 275928 file(s), 31.545 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 275928 of total 275928 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/13 15:49:59] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 275928\n", - "Transfer successfully: 275928\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.02:04:43\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet --recursive --exclude-older" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1H[2018/05/13 11:24:55][WARNING] The command line \"--source \"https://datasharesa.blob.core.windows.net/imagenet/train\" --destination \"https://batchfcab5890st.blob.core.windows.net/batchfcab5890container/train\" --recursive --source-key ****** --dest-key ****** --quiet\" in the journal file \"/home/mat/Microsoft/Azure/AzCopy/AzCopy.jnl\" is different from your input.\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/13 11:24:57][WARNING] Incomplete operation with different command line detected at the journal directory \"/home/mat/Microsoft/Azure/AzCopy\".\n", - "\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.739 MB; Average Speed:849.7 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 62.739 MB; Average Speed:827.31 KB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/13 11:26:17] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:01:21\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.844 MB; Average Speed:185.76 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 1.844 MB; Average Speed:154.58 KB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/13 11:26:38] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:16\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetEstimatorHorovod.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/timer.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-05-20T17:44:16.299000+00:00\",\n", - " \"creationTime\": \"2018-05-20T17:44:16.299000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"containerName\": \"batchfcab5890container\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-20T17:44:16.877000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 8\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24r \\\n", - "--min 8 --max 8 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--container-name $CONTAINER_NAME \\\n", - "--container-mount-path extcn \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key " - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "{\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-05-20T17:44:16.299000+00:00\",\n", - " \"creationTime\": \"2018-05-20T17:44:16.299000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"containerName\": \"batchfcab5890container\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-20T17:44:16.877000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 8\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\n", - "------ ---------------- -------------- ------- ------ --------- ----------- --------- ----------\n", - "nc24r batchfcab5890rg STANDARD_NC24r steady 8 0 0 0 0\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "ID IP Port\n", - "--------------------------------- ------------- ------\n", - "tvm-4283973576_1-20180520t174606z 40.121.35.154 50006\n", - "tvm-4283973576_2-20180520t174606z 40.121.35.154 50002\n", - "tvm-4283973576_3-20180520t174606z 40.121.35.154 50007\n", - "tvm-4283973576_4-20180520t174606z 40.121.35.154 50003\n", - "tvm-4283973576_5-20180520t174606z 40.121.35.154 50004\n", - "tvm-4283973576_6-20180520t174606z 40.121.35.154 50000\n", - "tvm-4283973576_7-20180520t174606z 40.121.35.154 50005\n", - "tvm-4283973576_8-20180520t174606z 40.121.35.154 50001\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2017-09-01-preview/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 8,\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; \\\n", - " echo $AZ_BATCH_HOST_LIST; \\\n", - " ls $AZ_BATCHAI_INPUT_TRAIN;\\\n", - " mpirun -n 32 -ppn 4 -hosts $AZ_BATCH_HOST_LIST \\\n", - " -env I_MPI_FABRICS=dapl \\\n", - " -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 \\\n", - " -env I_MPI_DYNAMIC_CONNECTION=0 \\\n", - " -env DISTRIBUTED=True \\\n", - " -genvall \\\n", - " python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetKerasHorovod.py\"\n", - " },\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn/train\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn/test\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"masalvar/horovod-intel-keras\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"cntkSettings\": null,\n", - " \"constraints\": {\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"credentials\": null,\n", - " \"image\": \"masalvar/horovod-intel-keras\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-05-20T18:19:53.726000+00:00\",\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; echo $AZ_BATCH_HOST_LIST; ls $AZ_BATCHAI_INPUT_TRAIN; mpirun -n 32 -ppn 4 -hosts $AZ_BATCH_HOST_LIST -env I_MPI_FABRICS=dapl -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 -env I_MPI_DYNAMIC_CONNECTION=0 -env DISTRIBUTED=True -genvall python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetKerasHorovod.py\"\n", - " },\n", - " \"environmentVariables\": null,\n", - " \"executionInfo\": {\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-05-20T18:19:55.516000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-05-20T18:19:55.624000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/jobs/horovod_benchmark\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn/train\"\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn/test\"\n", - " }\n", - " ],\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"name\": \"horovod_benchmark\",\n", - " \"nodeCount\": 8,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-20T18:19:54.926000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"custom\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai job create -n horovod_benchmark --cluster-name nc24r -c job.json" - ] - }, - { - "cell_type": "code", - "execution_count": 86, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group Cluster Cluster RG Tool Nodes State\n", - "----------------- ---------------- --------- --------------- ------ ------- -------\n", - "horovod_benchmark batchfcab5890rg nc24r batchfcab5890rg custom 8 running\n" - ] - } - ], - "source": [ - " !az batchai job list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "[\n", - " {\n", - " \"contentLength\": 20889,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d3ed6bda-9cb9-41c6-aad2-e483685663ee/execution-tvm-4283973576_1-20180520t174606z.log?sv=2016-05-31&sr=f&sig=tVzDPNJs2Gs6tvcXWQo8JTGVRyxObjgPdGk9qv5hBmM%3D&se=2018-05-20T19%3A25%3A19Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T18:21:41+00:00\",\n", - " \"name\": \"execution-tvm-4283973576_1-20180520t174606z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 20346,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d3ed6bda-9cb9-41c6-aad2-e483685663ee/execution-tvm-4283973576_2-20180520t174606z.log?sv=2016-05-31&sr=f&sig=2g1QVmGWcCrrmumxn9LnVEXE%2F1adPgZ2y64XaEQIk18%3D&se=2018-05-20T19%3A25%3A19Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T18:21:55+00:00\",\n", - " \"name\": \"execution-tvm-4283973576_2-20180520t174606z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 20616,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d3ed6bda-9cb9-41c6-aad2-e483685663ee/execution-tvm-4283973576_3-20180520t174606z.log?sv=2016-05-31&sr=f&sig=dQnrdmkchOZ4ylgxvHvoMNPxvuuIS3xCawoOjFOYhoc%3D&se=2018-05-20T19%3A25%3A19Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T18:21:43+00:00\",\n", - " \"name\": \"execution-tvm-4283973576_3-20180520t174606z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 20953,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d3ed6bda-9cb9-41c6-aad2-e483685663ee/execution-tvm-4283973576_4-20180520t174606z.log?sv=2016-05-31&sr=f&sig=P2gCKNqbLviHHQwKUJYZ9MCg53nrML606UGnPf%2FU01c%3D&se=2018-05-20T19%3A25%3A19Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T18:21:40+00:00\",\n", - " \"name\": \"execution-tvm-4283973576_4-20180520t174606z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 20733,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d3ed6bda-9cb9-41c6-aad2-e483685663ee/execution-tvm-4283973576_5-20180520t174606z.log?sv=2016-05-31&sr=f&sig=Lj7csL9nIfwHcWWSTlIjCUBzuRJ%2F1V6LK0UJEeJ4V9s%3D&se=2018-05-20T19%3A25%3A19Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T18:21:41+00:00\",\n", - " \"name\": \"execution-tvm-4283973576_5-20180520t174606z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 20987,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d3ed6bda-9cb9-41c6-aad2-e483685663ee/execution-tvm-4283973576_6-20180520t174606z.log?sv=2016-05-31&sr=f&sig=Xe7XbDJ7Y55Qcn21AYYjLj5jdZEZbEOvOTEp%2BIZH1vQ%3D&se=2018-05-20T19%3A25%3A19Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T18:21:56+00:00\",\n", - " \"name\": \"execution-tvm-4283973576_6-20180520t174606z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 20670,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d3ed6bda-9cb9-41c6-aad2-e483685663ee/execution-tvm-4283973576_7-20180520t174606z.log?sv=2016-05-31&sr=f&sig=5vTYeqPlMEZVUjUE8BfAp3Ox%2BArmcEC2kUMAshYv6YQ%3D&se=2018-05-20T19%3A25%3A19Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T18:21:39+00:00\",\n", - " \"name\": \"execution-tvm-4283973576_7-20180520t174606z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 20866,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d3ed6bda-9cb9-41c6-aad2-e483685663ee/execution-tvm-4283973576_8-20180520t174606z.log?sv=2016-05-31&sr=f&sig=znNBUTB%2BcCrlltbellRRbMX9Lp78I11dwrhy%2BTrYhSI%3D&se=2018-05-20T19%3A25%3A19Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T18:21:44+00:00\",\n", - " \"name\": \"execution-tvm-4283973576_8-20180520t174606z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 39310,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d3ed6bda-9cb9-41c6-aad2-e483685663ee/stderr.txt?sv=2016-05-31&sr=f&sig=dXgX%2BZXbsosw2CyT6B2XMOEeCz25G4hF7OGoN3b56n8%3D&se=2018-05-20T19%3A25%3A19Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T18:25:19+00:00\",\n", - " \"name\": \"stderr.txt\"\n", - " },\n", - " {\n", - " \"contentLength\": 10074,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d3ed6bda-9cb9-41c6-aad2-e483685663ee/stdout.txt?sv=2016-05-31&sr=f&sig=41cnZAHj5I5QpLJVEF1dYPCH0kmjW0%2FPOB9VpEg7OfE%3D&se=2018-05-20T19%3A25%3A19Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T18:22:02+00:00\",\n", - " \"name\": \"stdout.txt\"\n", - " }\n", - "]\n" - ] - } - ], - "source": [ - "!az batchai job list-files --name horovod_benchmark --output-directory-id stdouterr" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 18:22:05.314670: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 18:22:05.313253: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 18:22:05.313249: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.313538: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.315229: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 18:22:05.315024: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.306964: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.311111: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 18:22:05.315329: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.312504: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 18:22:05.309834: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 18:22:05.312478: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.315326: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.307321: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.311111: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.309834: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.313880: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.313664: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 18:22:05.312536: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.315509: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.307363: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.311111: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.310142: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.314012: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.314084: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.315842: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 18:22:05.307608: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.311516: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.310138: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.314076: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.315852: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:05.313159: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 18:22:07.561358: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 8356:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.561414: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 18:22:07.564059: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 6e05:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.564102: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 18:22:07.564285: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 9bd9:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.564333: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 18:22:07.564370: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: c12c:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.564413: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 18:22:07.572185: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 7eca:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.572239: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 18:22:07.574920: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 05f9:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.574969: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 18:22:07.574957: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 56d0:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.574992: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 18:22:07.575230: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 1df9:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.575272: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 18:22:07.653279: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: f6c3:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.653334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 18:22:07.654462: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 4606:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.654504: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 18:22:07.654809: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 14d8:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.654859: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 18:22:07.655523: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 288e:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.655570: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 18:22:07.722952: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 5f62:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.723007: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 18:22:07.724553: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 2aba:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.724601: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 18:22:07.725210: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 41b6:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.725252: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 18:22:07.725299: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 1485:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.725340: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 18:22:07.794206: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 737e:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.794260: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 18:22:07.796838: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: d4da:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.796889: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 18:22:07.797136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: b98b:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.797178: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 18:22:07.797499: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: a378:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.797550: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 18:22:07.798326: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 3bdd:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.796315: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 8e4e:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.798370: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 18:22:07.796359: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 18:22:07.796390: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 59ad:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.796440: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 18:22:07.796642: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 42e7:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.796692: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 18:22:07.948019: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 3cce:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.948077: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 18:22:07.948276: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 8827:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.948317: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 572b:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.948325: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 18:22:07.948352: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 18:22:07.948590: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 6c1a:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:07.948632: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 18:22:08.114082: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 9bd9:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.114789: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 8356:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.118506: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: c12c:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.118681: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 6e05:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.142693: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 56d0:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.142859: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 7eca:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.170156: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 8a88:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:08.170214: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 18:22:08.170543: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 6446:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:08.170592: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 18:22:08.170921: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 4b3b:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:08.170974: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 18:22:08.171621: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 3537:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 18:22:08.171670: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 18:22:08.182710: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 14d8:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.183737: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 288e:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.182408: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 05f9:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.185460: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 4606:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.198093: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 1df9:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.258458: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: f6c3:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.284814: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 2aba:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.302706: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 5f62:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.302868: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 41b6:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.303761: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 1485:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.305927: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 8e4e:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.307861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 737e:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.309900: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 42e7:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.313575: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: d4da:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.323657: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 59ad:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.334787: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: b98b:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.335971: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: a378:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.365509: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 3bdd:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.464691: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 572b:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.468136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 8827:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.496238: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 6c1a:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.497153: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 3cce:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.717267: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 8a88:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.717856: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 4b3b:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.722495: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 6446:00:00.0, compute capability: 3.7)\n", - "2018-05-20 18:22:08.745634: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 3537:00:00.0, compute capability: 3.7)\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING: One or more tensors were submitted to be reduced, gathered or broadcasted by subset of ranks and are waiting for remainder of ranks for more than 60 seconds. This may indicate that different ranks are trying to submit different tensors or that only subset of ranks is submitting tensors, which will cause deadlock. Stalled ops: HorovodBroadcast_training_SGD_Variable_189_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_204_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_114_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_106_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_128_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_159_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_161_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_170_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_118_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_119_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_180_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_123_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_185_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_133_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_136_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_139_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_141_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_148_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_203_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_149_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_150_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_187_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_207_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_179_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_167_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_162_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_164_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_190_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_181_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_151_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_135_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_168_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_132_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_116_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_196_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_194_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_198_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_192_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_201_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_213_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_209_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_176_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_205_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_195_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_142_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_153_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_177_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_124_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_157_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_152_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_144_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_110_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_109_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_111_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_105_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_87_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_86_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_101_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_85_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_80_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_78_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_83_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_96_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_99_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_72_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_71_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_69_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_94_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_95_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_89_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_92_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_61_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_32_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_62_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_50_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_45_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_63_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_77_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_15_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_37_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_58_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_59_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_13_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_16_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_36_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_57_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_40_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_24_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_46_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_52_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_42_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_67_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_34_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_41_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_39_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_27_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_22_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_38_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_25_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_20_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_19_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_12_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_18_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_17_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_11_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_9_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_5_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_4_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_6_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_1_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_2_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_fc1000_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_fc1000_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_SGD_1_lr_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_SGD_1_decay_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_SGD_momentum_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_55_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_188_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_76_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_155_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch1_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch1_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_102_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_115_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_88_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_98_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_103_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_182_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_184_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_165_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_26_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_81_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_154_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_117_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_10_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_171_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_125_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_90_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_112_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch1_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_169_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_21_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_174_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_206_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_156_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch1_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_48_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_121_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_104_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_122_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_SGD_iterations_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_7_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_SGD_1_momentum_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_202_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_54_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch1_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_49_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_SGD_lr_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_47_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_84_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_30_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_178_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_120_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_74_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_212_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_147_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_160_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_SGD_1_iterations_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_143_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_107_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_113_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_31_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_93_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_158_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_137_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_131_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_conv1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_44_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_56_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_200_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_66_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_186_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_191_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_33_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_199_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_conv1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_68_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4c_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_172_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_130_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_8_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_211_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_100_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_208_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_138_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_134_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_210_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_35_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_145_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_91_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_75_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_70_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_166_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_175_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_197_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_conv1_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4f_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_51_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_126_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_3_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2b_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_23_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4e_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5c_branch2c_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_fc1000_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_79_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_43_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_82_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2b_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2c_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch1_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_fc1000_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_129_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_14_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4e_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2c_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_SGD_decay_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2a_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch1_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2b_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2c_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2a_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4f_branch2a_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2c_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch1_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_108_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_193_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2b_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3a_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5b_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_73_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_60_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_163_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_65_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2a_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_conv1_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_53_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res2a_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5b_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2a_branch1_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3c_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_183_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_146_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2b_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_173_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4d_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res5a_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2a_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch2c_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3b_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3d_branch2b_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3d_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2a_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_140_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2b_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_127_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_64_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5c_branch2a_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4d_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2a_1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_28_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2b_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2b_1_beta_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2c_1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch2c_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn2c_branch2c_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3a_branch1_kernel_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch1_moving_mean_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_1_moving_variance_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_97_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_training_SGD_Variable_29_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn3c_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4a_branch2c_1_moving_mean_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4a_branch1_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4c_branch2b_1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn_conv1_moving_variance_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn5a_branch1_moving_variance_local_step_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res4b_branch2a_1_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_res3b_branch2a_bias_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_1_gamma_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21], HorovodBroadcast_bn4b_branch2a_1_moving_mean_biased_0 [ready ranks: 15, 18, 3, 29, 8, 6, 2, 9, 31, 21]\r\n", - "INFO:__main__:Creating model\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 1 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Creating model\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 3 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 3 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 1 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training took 1348.771 seconds\r\n", - "INFO:__main__:Training took 1406.684 seconds\r\n", - "INFO:__main__:Training took 1336.170 seconds\r\n", - "INFO:__main__:Training took 1340.927 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "INFO:__main__:Training took 1344.898 seconds\r\n", - "INFO:__main__:Training took 1337.193 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:756: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \r\n", - " warnings.warn(str(msg))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "INFO:__main__:Training took 1415.736 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "INFO:__main__:Training took 1349.756 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "INFO:__main__:Training took 1414.720 seconds\r\n", - "INFO:__main__:Training took 1358.216 seconds\r\n", - "INFO:__main__:Training took 1344.380 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:756: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. \r\n", - " warnings.warn(str(msg))\r\n", - "INFO:__main__:Training took 1335.325 seconds\r\n", - "INFO:__main__:Training took 1340.253 seconds\r\n", - "INFO:__main__:Training took 1332.814 seconds\r\n", - "INFO:__main__:Training took 1337.482 seconds\r\n", - "INFO:__main__:Training took 1326.738 seconds\r\n", - "INFO:__main__:Training took 1368.337 seconds\r\n", - "INFO:__main__:Training took 1339.542 seconds\r\n", - "INFO:__main__:Training took 1412.742 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "INFO:__main__:Training took 1374.487 seconds\r\n", - "INFO:__main__:Training took 1340.184 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:756: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \r\n", - " warnings.warn(str(msg))\r\n", - "INFO:__main__:Training took 1344.814 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "INFO:__main__:Training took 1343.840 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:756: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. \r\n", - " warnings.warn(str(msg))\r\n", - "INFO:__main__:Training took 1324.939 seconds\r\n", - "INFO:__main__:Training took 1339.311 seconds\r\n", - "INFO:__main__:Training took 1334.757 seconds\r\n", - "INFO:__main__:Training took 1416.142 seconds\r\n", - "INFO:__main__:Training took 1331.714 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "INFO:__main__:Training took 1356.092 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "INFO:__main__:Training took 1343.434 seconds\r\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\r\n", - " \" Skipping tag %s\" % (size, len(data), tag))\r\n", - "INFO:__main__:Training took 1355.028 seconds\r\n", - "Exception ignored in: >\r\n", - "Traceback (most recent call last):\r\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py\", line 712, in __del__\r\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/c_api_util.py\", line 31, in __init__\r\n", - "TypeError: 'NoneType' object is not callable\r\n", - "Exception ignored in: >\r\n", - "Traceback (most recent call last):\r\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py\", line 712, in __del__\r\n", - "TypeError: 'NoneType' object is not callable\r\n", - "Exception ignored in: >\r\n", - "Traceback (most recent call last):\r\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py\", line 712, in __del__\r\n", - "TypeError: 'NoneType' object is not callable\r\n", - "INFO:__main__:Training took 1378.759 seconds\r\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "^C\r\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stderr.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "10.0.0.4,10.0.0.5,10.0.0.6,10.0.0.7,10.0.0.8,10.0.0.9,10.0.0.10,10.0.0.11\n", - "n01440764\n", - "n01443537\n", - "n01484850\n", - "n01491361\n", - "n01494475\n", - "n01496331\n", - "n01498041\n", - "n01514668\n", - "n01514859\n", - "n01518878\n", - "n01530575\n", - "n01531178\n", - "n01532829\n", - "n01534433\n", - "n01537544\n", - "n01558993\n", - "n01560419\n", - "n01580077\n", - "n01582220\n", - "n01592084\n", - "n01601694\n", - "n01608432\n", - 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- "n04153751\n", - "n04154565\n", - "n04162706\n", - "n04179913\n", - "n04192698\n", - "n04200800\n", - "n04201297\n", - "n04204238\n", - "n04204347\n", - "n04208210\n", - "n04209133\n", - "n04209239\n", - "n04228054\n", - "n04229816\n", - "n04235860\n", - "n04238763\n", - "n04239074\n", - "n04243546\n", - "n04251144\n", - "n04252077\n", - "n04252225\n", - "n04254120\n", - "n04254680\n", - "n04254777\n", - "n04258138\n", - "n04259630\n", - "n04263257\n", - "n04264628\n", - "n04265275\n", - "n04266014\n", - "n04270147\n", - "n04273569\n", - "n04275548\n", - "n04277352\n", - "n04285008\n", - "n04286575\n", - "n04296562\n", - "n04310018\n", - "n04311004\n", - "n04311174\n", - "n04317175\n", - "n04325704\n", - "n04326547\n", - "n04328186\n", - "n04330267\n", - "n04332243\n", - "n04335435\n", - "n04336792\n", - "n04344873\n", - "n04346328\n", - "n04347754\n", - "n04350905\n", - "n04355338\n", - "n04355933\n", - "n04356056\n", - "n04357314\n", - "n04366367\n", - "n04367480\n", - "n04370456\n", - "n04371430\n", - "n04371774\n", - "n04372370\n", - "n04376876\n", - "n04380533\n", - "n04389033\n", - "n04392985\n", - "n04398044\n", - "n04399382\n", - "n04404412\n", - "n04409515\n", - "n04417672\n", - "n04418357\n", - "n04423845\n", - "n04428191\n", - "n04429376\n", - "n04435653\n", - "n04442312\n", - "n04443257\n", - "n04447861\n", - "n04456115\n", - "n04458633\n", - "n04461696\n", - "n04462240\n", - "n04465501\n", - "n04467665\n", - "n04476259\n", - "n04479046\n", - "n04482393\n", - "n04483307\n", - "n04485082\n", - "n04486054\n", - "n04487081\n", - "n04487394\n", - "n04493381\n", - "n04501370\n", - "n04505470\n", - "n04507155\n", - "n04509417\n", - "n04515003\n", - "n04517823\n", - "n04522168\n", - "n04523525\n", - "n04525038\n", - "n04525305\n", - "n04532106\n", - "n04532670\n", - "n04536866\n", - "n04540053\n", - "n04542943\n", - "n04548280\n", - "n04548362\n", - "n04550184\n", - "n04552348\n", - "n04553703\n", - "n04554684\n", - "n04557648\n", - "n04560804\n", - "n04562935\n", - "n04579145\n", - "n04579432\n", - "n04584207\n", - "n04589890\n", - "n04590129\n", - "n04591157\n", - "n04591713\n", - "n04592741\n", - "n04596742\n", - "n04597913\n", - "n04599235\n", - "n04604644\n", - "n04606251\n", - "n04612504\n", - "n04613696\n", - "n06359193\n", - "n06596364\n", - "n06785654\n", - "n06794110\n", - "n06874185\n", - "n07248320\n", - "n07565083\n", - "n07579787\n", - "n07583066\n", - "n07584110\n", - "n07590611\n", - "n07613480\n", - "n07614500\n", - "n07615774\n", - "n07684084\n", - "n07693725\n", - "n07695742\n", - "n07697313\n", - "n07697537\n", - "n07711569\n", - "n07714571\n", - "n07714990\n", - "n07715103\n", - "n07716358\n", - "n07716906\n", - "n07717410\n", - "n07717556\n", - "n07718472\n", - "n07718747\n", - "n07720875\n", - "n07730033\n", - "n07734744\n", - "n07742313\n", - "n07745940\n", - "n07747607\n", - "n07749582\n", - "n07753113\n", - "n07753275\n", - "n07753592\n", - "n07754684\n", - "n07760859\n", - "n07768694\n", - "n07802026\n", - "n07831146\n", - "n07836838\n", - "n07860988\n", - "n07871810\n", - "n07873807\n", - "n07875152\n", - "n07880968\n", - "n07892512\n", - "n07920052\n", - "n07930864\n", - "n07932039\n", - "n09193705\n", - "n09229709\n", - "n09246464\n", - "n09256479\n", - "n09288635\n", - "n09332890\n", - "n09399592\n", - "n09421951\n", - "n09428293\n", - "n09468604\n", - "n09472597\n", - "n09835506\n", - "n10148035\n", - "n10565667\n", - "n11879895\n", - "n11939491\n", - "n12057211\n", - "n12144580\n", - "n12267677\n", - "n12620546\n", - "n12768682\n", - "n12985857\n", - "n12998815\n", - "n13037406\n", - "n13040303\n", - "n13044778\n", - "n13052670\n", - "n13054560\n", - "n13133613\n", - "n15075141\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Epoch 1/1\n", - "\n", - " 1/625 [..............................] - ETA: 4:49:55 - loss: 8.5419 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0000e+00\n", - " 2/625 [..............................] - ETA: 2:35:07 - loss: 8.6429 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0000e+00\n", - " 3/625 [..............................] - ETA: 1:49:45 - loss: 8.6150 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0000e+00\n", - " 4/625 [..............................] - ETA: 1:27:01 - loss: 8.5623 - acc: 0.0039 - top_k_categorical_accuracy: 0.0078 \n", - " 5/625 [..............................] - ETA: 1:13:22 - loss: 8.5263 - acc: 0.0031 - top_k_categorical_accuracy: 0.0063\n", - " 6/625 [..............................] - ETA: 1:04:15 - loss: 8.5294 - acc: 0.0026 - top_k_categorical_accuracy: 0.0078\n", - " 7/625 [..............................] - ETA: 57:43 - loss: 8.5071 - acc: 0.0045 - top_k_categorical_accuracy: 0.0112 \n", - " 8/625 [..............................] - ETA: 52:47 - loss: 8.5405 - acc: 0.0039 - top_k_categorical_accuracy: 0.0098\n", - " 9/625 [..............................] - ETA: 48:57 - loss: 8.4983 - acc: 0.0035 - top_k_categorical_accuracy: 0.0139\n", - " 10/625 [..............................] - ETA: 45:54 - loss: 8.5180 - acc: 0.0031 - top_k_categorical_accuracy: 0.0125\n", - " 11/625 [..............................] - ETA: 43:24 - loss: 8.5019 - acc: 0.0028 - top_k_categorical_accuracy: 0.0114\n", - " 12/625 [..............................] - ETA: 41:17 - loss: 8.4943 - acc: 0.0026 - top_k_categorical_accuracy: 0.0104\n", - " 13/625 [..............................] - ETA: 39:31 - loss: 8.4866 - acc: 0.0024 - top_k_categorical_accuracy: 0.0096\n", - " 14/625 [..............................] - ETA: 37:59 - loss: 8.4746 - acc: 0.0022 - top_k_categorical_accuracy: 0.0089\n", - " 15/625 [..............................] - ETA: 36:39 - loss: 8.4666 - acc: 0.0021 - top_k_categorical_accuracy: 0.0083\n", - " 16/625 [..............................] - ETA: 35:30 - loss: 8.4536 - acc: 0.0020 - top_k_categorical_accuracy: 0.0078\n", - " 17/625 [..............................] - ETA: 34:28 - loss: 8.4409 - acc: 0.0028 - top_k_categorical_accuracy: 0.0083\n", - " 18/625 [..............................] - ETA: 33:32 - loss: 8.4373 - acc: 0.0026 - top_k_categorical_accuracy: 0.0078\n", - " 19/625 [..............................] - ETA: 32:42 - loss: 8.4226 - acc: 0.0025 - top_k_categorical_accuracy: 0.0074\n", - " 20/625 [..............................] - ETA: 31:58 - loss: 8.4284 - acc: 0.0023 - top_k_categorical_accuracy: 0.0070\n", - " 21/625 [>.............................] - ETA: 31:17 - loss: 8.4185 - acc: 0.0022 - top_k_categorical_accuracy: 0.0074\n", - " 22/625 [>.............................] - ETA: 30:40 - loss: 8.4148 - acc: 0.0021 - top_k_categorical_accuracy: 0.0071\n", - " 23/625 [>.............................] - ETA: 30:05 - loss: 8.4052 - acc: 0.0020 - top_k_categorical_accuracy: 0.0068\n", - " 24/625 [>.............................] - ETA: 29:35 - loss: 8.3838 - acc: 0.0020 - top_k_categorical_accuracy: 0.0065\n", - " 25/625 [>.............................] - ETA: 29:07 - loss: 8.3712 - acc: 0.0019 - top_k_categorical_accuracy: 0.0063\n", - " 26/625 [>.............................] - ETA: 28:41 - loss: 8.3689 - acc: 0.0018 - top_k_categorical_accuracy: 0.0060\n", - " 27/625 [>.............................] - ETA: 28:16 - loss: 8.3617 - acc: 0.0017 - top_k_categorical_accuracy: 0.0064\n", - " 28/625 [>.............................] - ETA: 27:53 - loss: 8.3559 - acc: 0.0017 - top_k_categorical_accuracy: 0.0061\n", - " 29/625 [>.............................] - ETA: 27:32 - loss: 8.3510 - acc: 0.0016 - top_k_categorical_accuracy: 0.0059\n", - " 30/625 [>.............................] - ETA: 27:11 - loss: 8.3387 - acc: 0.0016 - top_k_categorical_accuracy: 0.0073\n", - " 31/625 [>.............................] - ETA: 26:52 - loss: 8.3286 - acc: 0.0015 - top_k_categorical_accuracy: 0.0076\n", - " 32/625 [>.............................] - ETA: 26:33 - loss: 8.3250 - acc: 0.0015 - top_k_categorical_accuracy: 0.0073\n", - " 33/625 [>.............................] - ETA: 26:15 - loss: 8.3184 - acc: 0.0014 - top_k_categorical_accuracy: 0.0071\n", - " 34/625 [>.............................] - ETA: 25:58 - loss: 8.3099 - acc: 0.0014 - top_k_categorical_accuracy: 0.0069\n", - " 35/625 [>.............................] - ETA: 25:43 - loss: 8.3014 - acc: 0.0013 - top_k_categorical_accuracy: 0.0071\n", - " 36/625 [>.............................] - ETA: 25:29 - loss: 8.2972 - acc: 0.0013 - top_k_categorical_accuracy: 0.0074\n", - " 37/625 [>.............................] - ETA: 25:14 - loss: 8.2943 - acc: 0.0013 - top_k_categorical_accuracy: 0.0072\n", - " 38/625 [>.............................] - ETA: 25:01 - loss: 8.2881 - acc: 0.0012 - top_k_categorical_accuracy: 0.0070\n", - " 39/625 [>.............................] - ETA: 24:47 - loss: 8.2795 - acc: 0.0016 - top_k_categorical_accuracy: 0.0076\n", - " 40/625 [>.............................] - ETA: 24:35 - loss: 8.2721 - acc: 0.0016 - top_k_categorical_accuracy: 0.0074\n", - " 41/625 [>.............................] - ETA: 24:23 - loss: 8.2684 - acc: 0.0015 - top_k_categorical_accuracy: 0.0072\n", - " 42/625 [=>............................] - ETA: 24:11 - loss: 8.2585 - acc: 0.0019 - top_k_categorical_accuracy: 0.0074\n", - " 43/625 [=>............................] - ETA: 24:00 - loss: 8.2510 - acc: 0.0018 - top_k_categorical_accuracy: 0.0073\n", - " 44/625 [=>............................] - ETA: 23:50 - loss: 8.2441 - acc: 0.0021 - top_k_categorical_accuracy: 0.0075\n", - " 45/625 [=>............................] - ETA: 23:40 - loss: 8.2409 - acc: 0.0021 - top_k_categorical_accuracy: 0.0073\n", - " 46/625 [=>............................] - ETA: 23:31 - loss: 8.2350 - acc: 0.0020 - top_k_categorical_accuracy: 0.0071\n", - " 47/625 [=>............................] - ETA: 23:21 - loss: 8.2316 - acc: 0.0020 - top_k_categorical_accuracy: 0.0070\n", - " 48/625 [=>............................] - ETA: 23:12 - loss: 8.2245 - acc: 0.0020 - top_k_categorical_accuracy: 0.0068\n", - " 49/625 [=>............................] - ETA: 23:03 - loss: 8.2216 - acc: 0.0019 - top_k_categorical_accuracy: 0.0067\n", - " 50/625 [=>............................] - ETA: 22:55 - loss: 8.2156 - acc: 0.0019 - top_k_categorical_accuracy: 0.0066\n", - " 51/625 [=>............................] - ETA: 22:46 - loss: 8.2110 - acc: 0.0018 - top_k_categorical_accuracy: 0.0064\n", - " 52/625 [=>............................] - ETA: 22:38 - loss: 8.2051 - acc: 0.0018 - top_k_categorical_accuracy: 0.0066\n", - " 53/625 [=>............................] - ETA: 22:31 - loss: 8.1992 - acc: 0.0021 - top_k_categorical_accuracy: 0.0071\n", - " 54/625 [=>............................] - ETA: 22:23 - loss: 8.1984 - acc: 0.0020 - top_k_categorical_accuracy: 0.0069\n", - " 55/625 [=>............................] - ETA: 22:15 - loss: 8.1933 - acc: 0.0020 - top_k_categorical_accuracy: 0.0068\n", - " 56/625 [=>............................] - ETA: 22:09 - loss: 8.1884 - acc: 0.0020 - top_k_categorical_accuracy: 0.0067\n", - " 57/625 [=>............................] - ETA: 22:02 - loss: 8.1834 - acc: 0.0019 - top_k_categorical_accuracy: 0.0066\n", - " 58/625 [=>............................] - ETA: 21:56 - loss: 8.1793 - acc: 0.0019 - top_k_categorical_accuracy: 0.0067\n", - " 59/625 [=>............................] - ETA: 21:49 - loss: 8.1754 - acc: 0.0019 - top_k_categorical_accuracy: 0.0066\n", - " 60/625 [=>............................] - ETA: 21:43 - loss: 8.1713 - acc: 0.0018 - top_k_categorical_accuracy: 0.0065\n", - " 61/625 [=>............................] - ETA: 21:37 - loss: 8.1692 - acc: 0.0018 - top_k_categorical_accuracy: 0.0064\n", - " 62/625 [=>............................] - ETA: 21:31 - loss: 8.1658 - acc: 0.0018 - top_k_categorical_accuracy: 0.0063\n", - " 63/625 [==>...........................] - ETA: 21:24 - loss: 8.1611 - acc: 0.0020 - top_k_categorical_accuracy: 0.0067\n", - " 64/625 [==>...........................] - ETA: 21:18 - loss: 8.1614 - acc: 0.0020 - top_k_categorical_accuracy: 0.0068\n", - " 65/625 [==>...........................] - ETA: 21:13 - loss: 8.1589 - acc: 0.0019 - top_k_categorical_accuracy: 0.0067\n", - " 66/625 [==>...........................] - ETA: 21:07 - loss: 8.1546 - acc: 0.0019 - top_k_categorical_accuracy: 0.0066\n", - " 67/625 [==>...........................] - ETA: 21:02 - loss: 8.1518 - acc: 0.0021 - top_k_categorical_accuracy: 0.0068\n", - " 68/625 [==>...........................] - ETA: 20:56 - loss: 8.1468 - acc: 0.0021 - top_k_categorical_accuracy: 0.0071\n", - " 69/625 [==>...........................] - ETA: 20:51 - loss: 8.1431 - acc: 0.0020 - top_k_categorical_accuracy: 0.0070\n", - " 70/625 [==>...........................] - ETA: 20:45 - loss: 8.1407 - acc: 0.0020 - top_k_categorical_accuracy: 0.0069\n", - " 71/625 [==>...........................] - ETA: 20:40 - loss: 8.1385 - acc: 0.0022 - top_k_categorical_accuracy: 0.0070\n", - " 72/625 [==>...........................] - ETA: 20:35 - loss: 8.1347 - acc: 0.0022 - top_k_categorical_accuracy: 0.0069\n", - " 73/625 [==>...........................] - ETA: 20:30 - loss: 8.1326 - acc: 0.0024 - top_k_categorical_accuracy: 0.0071\n", - " 74/625 [==>...........................] - ETA: 20:25 - loss: 8.1310 - acc: 0.0023 - top_k_categorical_accuracy: 0.0070\n", - " 75/625 [==>...........................] - ETA: 20:20 - loss: 8.1263 - acc: 0.0025 - top_k_categorical_accuracy: 0.0073\n", - " 76/625 [==>...........................] - ETA: 20:16 - loss: 8.1246 - acc: 0.0025 - top_k_categorical_accuracy: 0.0072\n", - " 77/625 [==>...........................] - ETA: 20:11 - loss: 8.1210 - acc: 0.0024 - top_k_categorical_accuracy: 0.0073\n", - " 78/625 [==>...........................] - ETA: 20:07 - loss: 8.1188 - acc: 0.0024 - top_k_categorical_accuracy: 0.0072\n", - " 79/625 [==>...........................] - ETA: 20:02 - loss: 8.1163 - acc: 0.0024 - top_k_categorical_accuracy: 0.0071\n", - " 80/625 [==>...........................] - ETA: 19:58 - loss: 8.1141 - acc: 0.0023 - top_k_categorical_accuracy: 0.0072\n", - " 81/625 [==>...........................] - ETA: 19:54 - loss: 8.1102 - acc: 0.0023 - top_k_categorical_accuracy: 0.0073\n", - " 82/625 [==>...........................] - ETA: 19:49 - loss: 8.1083 - acc: 0.0023 - top_k_categorical_accuracy: 0.0074\n", - " 83/625 [==>...........................] - ETA: 19:45 - loss: 8.1062 - acc: 0.0023 - top_k_categorical_accuracy: 0.0075\n", - " 84/625 [===>..........................] - ETA: 19:41 - loss: 8.1042 - acc: 0.0022 - top_k_categorical_accuracy: 0.0076\n", - " 85/625 [===>..........................] - ETA: 19:37 - loss: 8.1019 - acc: 0.0022 - top_k_categorical_accuracy: 0.0075\n", - " 86/625 [===>..........................] - ETA: 19:33 - loss: 8.0997 - acc: 0.0022 - top_k_categorical_accuracy: 0.0076\n", - " 87/625 [===>..........................] - ETA: 19:29 - loss: 8.0982 - acc: 0.0022 - top_k_categorical_accuracy: 0.0075\n", - " 88/625 [===>..........................] - ETA: 19:25 - loss: 8.0966 - acc: 0.0023 - top_k_categorical_accuracy: 0.0076\n", - " 89/625 [===>..........................] - ETA: 19:21 - loss: 8.0939 - acc: 0.0023 - top_k_categorical_accuracy: 0.0075\n", - " 90/625 [===>..........................] - ETA: 19:17 - loss: 8.0910 - acc: 0.0023 - top_k_categorical_accuracy: 0.0075\n", - " 91/625 [===>..........................] - ETA: 19:13 - loss: 8.0887 - acc: 0.0022 - top_k_categorical_accuracy: 0.0076\n", - " 92/625 [===>..........................] - ETA: 19:09 - loss: 8.0878 - acc: 0.0022 - top_k_categorical_accuracy: 0.0076\n", - " 93/625 [===>..........................] - ETA: 19:05 - loss: 8.0858 - acc: 0.0022 - top_k_categorical_accuracy: 0.0076\n", - " 94/625 [===>..........................] - ETA: 19:01 - loss: 8.0841 - acc: 0.0022 - top_k_categorical_accuracy: 0.0075\n", - " 95/625 [===>..........................] - ETA: 18:57 - loss: 8.0826 - acc: 0.0021 - top_k_categorical_accuracy: 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[============================>.] - ETA: 6s - loss: 7.8306 - acc: 0.0038 - top_k_categorical_accuracy: 0.0140\n", - "623/625 [============================>.] - ETA: 4s - loss: 7.8303 - acc: 0.0038 - top_k_categorical_accuracy: 0.0140\n", - "624/625 [============================>.] - ETA: 2s - loss: 7.8300 - acc: 0.0038 - top_k_categorical_accuracy: 0.0140\n", - "625/625 [==============================] - 1301s 2s/step - loss: 7.8297 - acc: 0.0038 - top_k_categorical_accuracy: 0.0140\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "^C\r\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai job delete --name horovod_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "\u001b[K - Starting ..\r", - "\r", - "\u001b[K - Finished ..\r", - "\r", - "\u001b[K" - ] - } - ], - "source": [ - "!az batchai file-server delete -n $NFS_NAME -y -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [default]", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/HorovodImagenetBatchAI-LocalFiles.ipynb b/_tmp/HorovodImagenetBatchAI-LocalFiles.ipynb deleted file mode 100644 index 8ccaabf..0000000 --- a/_tmp/HorovodImagenetBatchAI-LocalFiles.ipynb +++ /dev/null @@ -1,2520 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mTo sign in, use a web browser to open the page https://microsoft.com/devicelogin and enter the code ABNVKQJ47 to authenticate.\u001b[0m\n", - "CloudName Name State TenantId IsDefault\n", - "----------- ----------------------------- ------- ------------------------------------ -----------\n", - "AzureCloud Boston DS Dev Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Azure Internal - London Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Danielle Internal Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47 True\n", - "AzureCloud Visual Studio Enterprise Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Boston Engineering Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ADLTrainingMS Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyExt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Ads Eng Big Data Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling Preview Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling development Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud AzureML Client PROD Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud R portal - Production Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyInt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Project Vienna Demo 1 Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Solution Template Testing Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Ilan Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Marketing Automation Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n" - ] - } - ], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.24)\r\n", - "\r\n", - "acr (2.0.18)\r\n", - "acs (2.0.23)\r\n", - "advisor (0.1.1)\r\n", - "appservice (0.1.23)\r\n", - "backup (1.0.4)\r\n", - "batch (3.1.8)\r\n", - "batchai (0.1.4)\r\n", - "billing (0.1.7)\r\n", - "cdn (0.0.11)\r\n", - "cloud (2.0.11)\r\n", - "cognitiveservices (0.1.10)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.13)\r\n", - "consumption (0.2.1)\r\n", - "container (0.1.16)\r\n", - "core (2.0.24)\r\n", - "cosmosdb (0.1.16)\r\n", - "dla (0.0.16)\r\n", - "dls (0.0.19)\r\n", - "eventgrid (0.1.7)\r\n", - "extension (0.0.7)\r\n", - "feedback (2.0.7)\r\n", - "find (0.2.8)\r\n", - "interactive (0.3.12)\r\n", - "iot (0.1.16)\r\n", - "keyvault (2.0.16)\r\n", - "lab (0.0.14)\r\n", - "monitor (0.0.14)\r\n", - "network (2.0.20)\r\n", - "nspkg (3.0.1)\r\n", - "profile (2.0.17)\r\n", - "rdbms (0.0.10)\r\n", - "redis (0.2.11)\r\n", - "reservations (0.1.1)\r\n", - "resource (2.0.20)\r\n", - "role (2.0.16)\r\n", - "servicefabric (0.0.8)\r\n", - "sql (2.0.18)\r\n", - "storage (2.0.22)\r\n", - "vm (2.0.23)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/mat/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Jan 5 2018, 21:18:08) \r\n", - "[GCC 4.8.4]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch{uuid}share\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location Name\r\n", - "---------- ---------------\r\n", - "eastus batchbd667ecbrg\r\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batchbd667ecbst provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join([i for i in json_data if 'WARNING' not in i]))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batchfcab5890st\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=qTUeM/dh+vIhiKcrYx3EkvJKEOACztR2D7GAxE/5bRXnkxdU1T3e1JyYmbL4Rr43AMt6NMYW3OXPrg0iiyLk1g==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.844 MB; Average Speed:194.8 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 1.844 MB; Average Speed:160.99 KB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:40:35] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:15\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D' \\\n", - " --dest-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:42:30][WARNING] The command line \"--source \"https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz\" --destination \"https://batchbd667ecbst.blob.core.windows.net/batchbd667ecbcontainer/validation.tar.gz\" --source-sas ****** --dest-key ******\" in the journal file \"/home/mat/Microsoft/Azure/AzCopy/AzCopy.jnl\" is different from your input.\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:42:32][WARNING] Incomplete operation with different command line detected at the journal directory \"/home/mat/Microsoft/Azure/AzCopy\".\n", - "\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64 MB; Average Speed:1.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128 MB; Average Speed:3.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 192 MB; Average Speed:4.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 256 MB; Average Speed:5.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 320 MB; Average Speed:5.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 384 MB; Average Speed:6.39 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GB; Average Speed:17.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.063 GB; Average Speed:17.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.313 GB; Average Speed:18.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.563 GB; Average Speed:18.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.813 GB; Average Speed:19.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.875 GB; Average Speed:19.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.938 GB; Average Speed:19.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6 GB; Average Speed:19.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6.063 GB; Average Speed:19.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6.125 GB; Average Speed:19.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6.207 GB; Average Speed:19.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 6.207 GB; Average Speed:19.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:47:58] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:05:28\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64 MB; Average Speed:4.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128 MB; Average Speed:7.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 192 MB; Average Speed:9.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 256 MB; Average Speed:10.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 320 MB; Average Speed:11.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 384 MB; Average Speed:11.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 448 MB; Average Speed:12.41 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.75 GB; Average Speed:16.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.875 GB; Average Speed:17.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.938 GB; Average Speed:17.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3 GB; Average Speed:17.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.125 GB; Average Speed:17.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.188 GB; Average Speed:17.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.25 GB; Average Speed:17.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.313 GB; Average Speed:17.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.375 GB; Average Speed:17.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.438 GB; Average Speed:18.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.5 GB; Average Speed:18.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.563 GB; 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.188 GB; Average Speed:30.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.5 GB; Average Speed:30.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.813 GB; Average Speed:30.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.25 GB; Average Speed:31.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.625 GB; Average Speed:31.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.938 GB; Average Speed:31.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 14.25 GB; Average Speed:32.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 14.625 GB; Average Speed:32.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15 GB; Average Speed:32.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.375 GB; Average Speed:33.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.813 GB; Average Speed:33.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.188 GB; Average Speed:33.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.563 GB; Average Speed:34.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.875 GB; Average Speed:34.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 17.25 GB; Average Speed:34.49 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 17.688 GB; Average Speed:34.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.063 GB; Average Speed:35.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.438 GB; Average Speed:35.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.75 GB; Average Speed:35.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.125 GB; Average Speed:35.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.5 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.938 GB; Average Speed:36.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 20.375 GB; Average Speed:36.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 20.75 GB; Average Speed:36.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.063 GB; Average Speed:37.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.438 GB; Average Speed:37.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.938 GB; Average Speed:37.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.438 GB; Average Speed:38.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.75 GB; Average Speed:38.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.813 GB; Average Speed:35.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.875 GB; Average Speed:35.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.938 GB; Average Speed:35.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23 GB; Average Speed:34.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.063 GB; Average Speed:34.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.125 GB; Average Speed:34.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.188 GB; Average Speed:34.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.25 GB; Average Speed:33.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.313 GB; Average Speed:33.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.438 GB; Average Speed:33.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.5 GB; Average Speed:33.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.563 GB; Average Speed:32.96 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.688 GB; Average Speed:32.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.75 GB; Average Speed:32.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.813 GB; Average Speed:32.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.938 GB; Average Speed:32.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.063 GB; Average Speed:32.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.188 GB; Average Speed:31.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.313 GB; Average Speed:31.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.438 GB; Average Speed:31.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.563 GB; Average Speed:31.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.688 GB; Average Speed:31.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.813 GB; Average Speed:31.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.875 GB; Average Speed:31.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25 GB; Average Speed:31.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.125 GB; Average Speed:30.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.313 GB; Average Speed:30.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.5 GB; Average Speed:30.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.688 GB; Average Speed:30.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.875 GB; Average Speed:30.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.063 GB; Average Speed:30.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.25 GB; Average Speed:30.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.438 GB; Average Speed:30.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.563 GB; Average Speed:30.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.75 GB; Average Speed:30.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.938 GB; Average Speed:30.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.188 GB; Average Speed:30.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.438 GB; Average Speed:30.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.75 GB; Average Speed:30.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.938 GB; Average Speed:30.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.125 GB; Average Speed:30.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.375 GB; Average Speed:30.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.563 GB; Average Speed:30.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.813 GB; Average Speed:30.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 29 GB; Average Speed:30.79 MB/s. \u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 0 file(s), 29.25 GB; Average Speed:30.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 29.563 GB; Average Speed:30.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 29.875 GB; Average Speed:31.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.188 GB; Average Speed:31.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.5 GB; Average Speed:31.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.813 GB; Average Speed:31.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.063 GB; Average Speed:31.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.313 GB; Average Speed:31.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.563 GB; Average Speed:31.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.938 GB; Average Speed:31.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 32.313 GB; Average Speed:31.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 32.688 GB; Average Speed:31.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33 GB; Average Speed:32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.25 GB; Average Speed:32.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.563 GB; Average Speed:32.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.875 GB; Average Speed:32.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.313 GB; Average Speed:32.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.688 GB; Average Speed:32.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.125 GB; Average Speed:32.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.5 GB; Average Speed:32.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.875 GB; Average Speed:33.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.188 GB; Average Speed:33.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.5 GB; Average Speed:33.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.875 GB; Average Speed:33.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.188 GB; Average Speed:33.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.625 GB; Average Speed:33.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.125 GB; Average Speed:33.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.5 GB; Average Speed:33.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.875 GB; Average Speed:34.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.188 GB; Average Speed:34.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.563 GB; Average Speed:34.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40 GB; Average Speed:34.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.438 GB; Average Speed:34.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.875 GB; Average Speed:34.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.25 GB; Average Speed:34.88 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.563 GB; Average Speed:34.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.938 GB; Average Speed:35.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.313 GB; Average Speed:35.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.813 GB; Average Speed:35.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 43.313 GB; Average Speed:35.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 43.75 GB; Average Speed:35.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44 GB; Average Speed:35.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.313 GB; Average Speed:35.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.75 GB; Average Speed:35.96 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.063 GB; Average Speed:36.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.313 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.625 GB; Average Speed:36.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.875 GB; Average Speed:36.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.063 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.25 GB; Average Speed:35.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.438 GB; Average Speed:35.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.813 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.125 GB; Average Speed:36.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.438 GB; Average Speed:36.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.75 GB; Average Speed:36.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48 GB; Average Speed:36.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.313 GB; Average Speed:36.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.563 GB; Average Speed:36.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.813 GB; Average Speed:36.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.125 GB; Average Speed:36.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.5 GB; Average Speed:36.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.875 GB; Average Speed:36.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.25 GB; Average Speed:36.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.5 GB; Average Speed:36.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.813 GB; Average Speed:36.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.125 GB; Average Speed:36.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.5 GB; Average Speed:36.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.938 GB; Average Speed:36.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.313 GB; Average Speed:36.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.625 GB; Average Speed:36.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.938 GB; Average Speed:37.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.313 GB; Average Speed:37.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.625 GB; Average Speed:37.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54 GB; Average Speed:37.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.313 GB; Average Speed:37.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.688 GB; Average Speed:37.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55 GB; Average Speed:37.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.313 GB; Average Speed:37.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.688 GB; Average Speed:37.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.125 GB; Average Speed:37.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.5 GB; Average Speed:37.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.813 GB; Average Speed:37.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.188 GB; Average Speed:37.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.5 GB; Average Speed:37.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.875 GB; Average Speed:37.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.313 GB; Average Speed:38.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.813 GB; Average Speed:38.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.125 GB; Average Speed:38.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished: 0 file(s), 59.438 GB; Average Speed:38.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.813 GB; Average Speed:38.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.188 GB; Average Speed:38.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.563 GB; Average Speed:38.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61 GB; Average Speed:38.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61.5 GB; Average Speed:38.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62 GB; Average Speed:38.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.438 GB; Average Speed:38.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.813 GB; Average Speed:39.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.188 GB; Average Speed:39.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.625 GB; Average Speed:39.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.188 GB; Average Speed:39.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.688 GB; Average Speed:39.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.125 GB; Average Speed:39.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.563 GB; Average Speed:39.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66 GB; Average Speed:39.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.438 GB; Average Speed:39.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.875 GB; Average Speed:40.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.25 GB; Average Speed:40.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.625 GB; Average Speed:40.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.063 GB; Average Speed:40.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.438 GB; Average Speed:40.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.875 GB; Average Speed:40.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.25 GB; Average Speed:40.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.625 GB; Average Speed:40.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70 GB; Average Speed:40.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.375 GB; Average Speed:40.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.75 GB; Average Speed:40.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.188 GB; Average Speed:40.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.563 GB; Average Speed:40.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.875 GB; Average Speed:40.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.25 GB; Average Speed:40.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.625 GB; Average Speed:40.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73 GB; Average Speed:40.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.375 GB; Average Speed:41.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.688 GB; Average Speed:41.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.063 GB; Average Speed:41.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.438 GB; Average Speed:41.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.813 GB; Average Speed:41.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.188 GB; Average Speed:41.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.5 GB; Average Speed:41.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.875 GB; Average Speed:41.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.25 GB; Average Speed:41.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.563 GB; Average Speed:41.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.938 GB; Average Speed:41.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.25 GB; Average Speed:41.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.625 GB; Average Speed:41.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78 GB; Average Speed:41.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.313 GB; Average Speed:41.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.688 GB; Average Speed:41.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79 GB; Average Speed:41.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.313 GB; Average Speed:41.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.688 GB; Average Speed:41.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80 GB; Average Speed:41.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.375 GB; Average Speed:41.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.688 GB; Average Speed:41.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81 GB; Average Speed:41.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.313 GB; Average Speed:41.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.688 GB; Average Speed:41.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82 GB; Average Speed:41.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.313 GB; Average Speed:41.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.688 GB; Average Speed:41.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83 GB; Average Speed:41.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.313 GB; Average Speed:41.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.625 GB; Average Speed:41.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.938 GB; Average Speed:41.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.375 GB; Average Speed:42.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.813 GB; Average Speed:42.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.25 GB; Average Speed:42.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.625 GB; Average Speed:42.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.938 GB; Average Speed:42.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.313 GB; Average Speed:42.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.688 GB; Average Speed:42.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.188 GB; Average Speed:42.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.625 GB; Average Speed:42.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.125 GB; Average Speed:42.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.563 GB; Average Speed:42.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.938 GB; Average Speed:42.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.313 GB; Average Speed:42.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.75 GB; Average Speed:42.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.125 GB; Average Speed:42.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.5 GB; Average Speed:42.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.875 GB; Average Speed:42.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.313 GB; Average Speed:42.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.688 GB; Average Speed:43.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92 GB; Average Speed:43.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.375 GB; Average Speed:43.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.75 GB; Average Speed:43.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.125 GB; Average Speed:43.13 MB/s. \u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.5 GB; Average Speed:43.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.875 GB; Average Speed:43.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.188 GB; Average Speed:43.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.563 GB; Average Speed:43.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.938 GB; Average Speed:43.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.313 GB; Average Speed:43.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.625 GB; Average Speed:43.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96 GB; Average Speed:43.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.313 GB; Average Speed:43.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.688 GB; Average Speed:43.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.063 GB; Average Speed:43.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.375 GB; Average Speed:43.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.75 GB; Average Speed:43.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.063 GB; Average Speed:43.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.438 GB; Average Speed:43.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.75 GB; Average Speed:43.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.125 GB; Average Speed:43.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.438 GB; Average Speed:43.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.75 GB; Average Speed:43.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.125 GB; Average Speed:43.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.438 GB; Average Speed:43.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.813 GB; Average Speed:43.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.125 GB; Average Speed:43.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.5 GB; Average Speed:43.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.813 GB; Average Speed:43.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.125 GB; Average Speed:43.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.438 GB; Average Speed:43.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.813 GB; Average Speed:43.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.125 GB; Average Speed:43.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.438 GB; Average Speed:43.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.75 GB; Average Speed:43.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.063 GB; Average Speed:43.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.438 GB; Average Speed:43.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.75 GB; Average Speed:43.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.063 GB; Average Speed:43.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.375 GB; Average Speed:43.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.688 GB; Average Speed:43.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 106 GB; Average Speed:43.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 106.313 GB; Average Speed:43.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 106.625 GB; Average Speed:43.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107 GB; Average Speed:43.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.313 GB; Average Speed:43.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.625 GB; Average Speed:43.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.938 GB; Average Speed:43.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 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file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 16:41:01] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:50:56\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=qP%2B7lQuFKHo5UhQKpHcKt6p5fHT21lPaLz1O/vv4FNU%3D' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.739 MB; Average Speed:1.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 62.739 MB; Average Speed:1.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 19:06:13] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:51\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting nodeprep.sh\n" - ] - } - ], - "source": [ - "%%writefile nodeprep.sh\n", - "#!/usr/bin/env bash\n", - "mkdir -p $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "rsync --info=progress2 -r $AZ_BATCHAI_MOUNT_ROOT/extcn/ $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "cd $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "tar -xzf train.tar.gz\n", - "tar -xzf validation.tar.gz" - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source nodeprep.sh --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 262, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetEstimatorHorovod.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/timer.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 177, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "cluster_dict = {\n", - " \"properties\": {\n", - " \"nodeSetup\": {\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"runElevated\": True,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " }\n", - " }\n", - " }\n", - "} " - ] - }, - { - "cell_type": "code", - "execution_count": 178, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(cluster_dict, 'cluster.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 179, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\"properties\": {\"nodeSetup\": {\"setupTask\": {\"runElevated\": true, \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\", \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\"}}}}" - ] - } - ], - "source": [ - "!cat cluster.json" - ] - }, - { - "cell_type": "code", - "execution_count": 180, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"creationTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchbd667ecbrg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"containerName\": \"batchbd667ecbcontainer\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"azureFileUrl\": \"https://batchbd667ecbst.file.core.windows.net/batchbd667ecbshare\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"environmentVariables\": null,\n", - " \"runElevated\": true,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\"\n", - " }\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-04-15T19:16:09.744000+00:00\",\n", - " \"resourceGroup\": \"batchbd667ecbrg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 2\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24r \\\n", - "--min 2 --max 2 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--container-name $CONTAINER_NAME \\\n", - "--container-mount-path extcn \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key \\\n", - "-c cluster.json" - ] - }, - { - "cell_type": "code", - "execution_count": 181, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group_name\u001b[0m\n", - "{\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"creationTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchbd667ecbrg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"containerName\": \"batchbd667ecbcontainer\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"azureFileUrl\": \"https://batchbd667ecbst.file.core.windows.net/batchbd667ecbshare\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"environmentVariables\": null,\n", - " \"runElevated\": true,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\"\n", - " }\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-04-15T19:16:09.744000+00:00\",\n", - " \"resourceGroup\": \"batchbd667ecbrg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 2\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\n", - "------ ---------------- -------------- ------- ------ --------- ----------- --------- ----------\n", - "nc24r batchfcab5890rg STANDARD_NC24r steady 8 0 0 0 0\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "ID IP Port\n", - "--------------------------------- ------------- ------\n", - "tvm-4283973576_1-20180520t193030z 104.45.159.47 50005\n", - "tvm-4283973576_2-20180520t193030z 104.45.159.47 50001\n", - "tvm-4283973576_3-20180520t193030z 104.45.159.47 50006\n", - "tvm-4283973576_4-20180520t193030z 104.45.159.47 50002\n", - "tvm-4283973576_5-20180520t193030z 104.45.159.47 50007\n", - "tvm-4283973576_6-20180520t193030z 104.45.159.47 50003\n", - "tvm-4283973576_7-20180520t193030z 104.45.159.47 50004\n", - "tvm-4283973576_8-20180520t193030z 104.45.159.47 50000\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2017-09-01-preview/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 8,\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; \\\n", - " echo $AZ_BATCH_HOST_LIST; \\\n", - " mpirun -n 32 -ppn 4 -hosts $AZ_BATCH_HOST_LIST \\\n", - " -env I_MPI_FABRICS=dapl \\\n", - " -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 \\\n", - " -env I_MPI_DYNAMIC_CONNECTION=0 \\\n", - " -env DISTRIBUTED=True \\\n", - " -genvall \\\n", - " python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetKerasHorovod.py\"\n", - " },\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet/train\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet/test\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"masalvar/horovod-intel-keras\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"cntkSettings\": null,\n", - " \"constraints\": {\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"credentials\": null,\n", - " \"image\": \"masalvar/horovod-intel-keras\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-05-20T21:24:00.691000+00:00\",\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; echo $AZ_BATCH_HOST_LIST; mpirun -n 32 -ppn 4 -hosts $AZ_BATCH_HOST_LIST -env I_MPI_FABRICS=dapl -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 -env I_MPI_DYNAMIC_CONNECTION=0 -env DISTRIBUTED=True -genvall python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetKerasHorovod.py\"\n", - " },\n", - " \"environmentVariables\": null,\n", - " \"executionInfo\": {\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-05-20T21:24:02.771000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-05-20T21:24:02.993000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/jobs/horovod_benchmark\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet/train\"\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet/test\"\n", - " }\n", - " ],\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"name\": \"horovod_benchmark\",\n", - " \"nodeCount\": 8,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-20T21:24:01.707000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"custom\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai job create -n horovod_benchmark --cluster-name nc24r -c job.json" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group Cluster Cluster RG Tool Nodes State\n", - "----------------- ---------------- --------- --------------- ------ ------- -------\n", - "horovod_benchmark batchfcab5890rg nc24r batchfcab5890rg custom 8 running\n" - ] - } - ], - "source": [ - " !az batchai job list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "[\n", - " {\n", - " \"contentLength\": 20433,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/e464f64d-395f-450a-bb18-5f4dcc247092/execution-tvm-4283973576_1-20180520t193030z.log?sv=2016-05-31&sr=f&sig=75NXzDBXfkt6K4n1DD1msh%2FUtimkKJFwqqz%2Fpb8SGuU%3D&se=2018-05-20T22%3A21%3A34Z&sp=rl\",\n", - " \"lastModified\": 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\"lastModified\": \"2018-05-20T21:16:08+00:00\",\n", - " \"name\": \"stderr.txt\"\n", - " },\n", - " {\n", - " \"contentLength\": 75,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/e464f64d-395f-450a-bb18-5f4dcc247092/stdout.txt?sv=2016-05-31&sr=f&sig=p9sFmsBysptFFCPtDAbpxjCNrB3PiIvIE5zQZGOyjtE%3D&se=2018-05-20T22%3A21%3A34Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T21:16:03+00:00\",\n", - " \"name\": \"stdout.txt\"\n", - " }\n", - "]\n" - ] - } - ], - "source": [ - "!az batchai job list-files --name horovod_benchmark --output-directory-id stdouterr" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 21:24:19.318908: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.319044: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 21:24:19.319404: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 21:24:19.337064: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 21:24:19.320696: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 21:24:19.320596: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 21:24:19.323016: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320056: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320673: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.319409: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.319733: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320697: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320448: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320913: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.319508: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320713: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.319580: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.319783: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.321146: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320793: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 21:24:19.323016: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320490: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 21:24:19.320800: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-20 21:24:19.323023: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320485: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.321416: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320892: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.337240: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.323434: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.320892: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.337494: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:19.337564: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 21:24:20.116672: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 6ce7:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.116734: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 21:24:20.118782: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 58af:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.118829: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 21:24:20.118842: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 9e96:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.118899: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 21:24:20.119098: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 80ff:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.119143: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 21:24:20.151977: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 0d48:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.152054: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 21:24:20.161177: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: dc53:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.161235: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 21:24:20.161260: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: c6a2:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.161310: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 21:24:20.161311: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: f1a4:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.161352: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 21:24:20.160830: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 6860:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.160894: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 21:24:20.165833: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: bd61:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.165896: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 21:24:20.165913: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: db62:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.165951: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 21:24:20.166125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: a690:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.166181: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 21:24:20.167113: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: d4b8:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.167175: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 21:24:20.169388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: bf07:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.169433: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 21:24:20.169797: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: a754:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.169854: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 21:24:20.170279: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 1936:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.170325: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 21:24:20.172009: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: a41d:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.172069: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 21:24:20.174312: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: bfec:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.174358: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 21:24:20.174589: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 8be6:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.174634: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 74ba:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.174645: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 21:24:20.174671: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 21:24:20.175090: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 3565:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.175150: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 21:24:20.175169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 4e79:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.175209: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 21:24:20.175431: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 206c:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.175479: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 21:24:20.177757: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 9059:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.177801: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 21:24:20.203298: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: d1e8:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.203359: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 21:24:20.206059: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: bbab:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.206098: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 0402:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.206115: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 21:24:20.206138: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 21:24:20.206386: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: e942:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.206443: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 21:24:20.223531: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 49a9:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.223591: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 21:24:20.223828: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: f407:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.223873: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 21:24:20.224359: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 2d1e:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.224417: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 21:24:20.235801: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 130c:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 21:24:20.235846: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 21:24:20.497800: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 9e96:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.499272: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 58af:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.505215: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 80ff:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.508004: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 6ce7:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.547369: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: f1a4:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.548116: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0d48:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.533731: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 6860:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.554671: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: dc53:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.558473: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: c6a2:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.545639: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: a690:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.546535: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: bf07:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.554249: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: a41d:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.549620: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 4e79:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.554487: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: db62:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.554648: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 9059:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.555386: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: bd61:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.554017: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: d4b8:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.556725: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 3565:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.557170: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: bfec:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.557042: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 206c:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.561557: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 1936:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.562131: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: a754:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.564861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 8be6:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.565968: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 74ba:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.600535: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: d1e8:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.599670: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: f407:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.602545: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 49a9:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.607443: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: bbab:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.608407: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: e942:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.612527: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 2d1e:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.620497: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0402:00:00.0, compute capability: 3.7)\n", - "2018-05-20 21:24:20.632088: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 130c:00:00.0, compute capability: 3.7)\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Training took 1157.300 seconds\n", - "INFO:__main__:Training took 1158.744 seconds\n", - "INFO:__main__:Training took 1157.852 seconds\n", - "INFO:__main__:Training took 1159.056 seconds\n", - "INFO:__main__:Training took 1156.525 seconds\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\n", - " \" Skipping tag %s\" % (size, len(data), tag))\n", - "INFO:__main__:Training took 1159.276 seconds\n", - "INFO:__main__:Training took 1157.260 seconds\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\n", - " \" Skipping tag %s\" % (size, len(data), tag))\n", - "INFO:__main__:Training took 1157.924 seconds\n", - "INFO:__main__:Training took 1157.048 seconds\n", - "INFO:__main__:Training took 1158.293 seconds\n", - "INFO:__main__:Training took 1158.862 seconds\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\n", - " \" Skipping tag %s\" % (size, len(data), tag))\n", - "INFO:__main__:Training took 1158.821 seconds\n", - "INFO:__main__:Training took 1155.148 seconds\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0\n", - " \" Skipping tag %s\" % (size, len(data), tag))\n", - "INFO:__main__:Training took 1158.696 seconds\n", - "INFO:__main__:Training took 1157.627 seconds\n", - "INFO:__main__:Training took 1158.447 seconds\n", - "INFO:__main__:Training took 1157.421 seconds\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\n", - " \" Skipping tag %s\" % (size, len(data), tag))\n", - "INFO:__main__:Training took 1158.860 seconds\n", - "INFO:__main__:Training took 1156.390 seconds\n", - "INFO:__main__:Training took 1159.710 seconds\n", - "INFO:__main__:Training took 1157.457 seconds\n", - "INFO:__main__:Training took 1160.572 seconds\n", - "INFO:__main__:Training took 1159.264 seconds\n", - "INFO:__main__:Training took 1158.015 seconds\n", - "INFO:__main__:Training took 1157.516 seconds\n", - "INFO:__main__:Training took 1157.949 seconds\n", - "INFO:__main__:Training took 1160.156 seconds\n", - "INFO:__main__:Training took 1155.748 seconds\n", - "INFO:__main__:Training took 1158.735 seconds\n", - "INFO:__main__:Training took 1158.799 seconds\n", - "/usr/local/lib/python3.5/dist-packages/PIL/TiffImagePlugin.py:739: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0\n", - " \" Skipping tag %s\" % (size, len(data), tag))\n", - "INFO:__main__:Training took 1158.531 seconds\n", - "Exception ignored in: >\n", - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py\", line 712, in __del__\n", - "TypeError: 'NoneType' object is not callable\n", - "Exception ignored in: >\n", - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py\", line 712, in __del__\n", - "TypeError: 'NoneType' object is not callable\n", - "Exception ignored in: >\n", - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py\", line 712, in __del__\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/c_api_util.py\", line 31, in __init__\n", - "TypeError: 'NoneType' object is not callable\n", - "Exception ignored in: >\n", - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py\", line 712, in __del__\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/c_api_util.py\", line 31, in __init__\n", - "TypeError: 'NoneType' object is not callable\n", - "Exception ignored in: >\n", - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py\", line 712, in __del__\n", - "TypeError: 'NoneType' object is not callable\n", - "Exception ignored in: >\n", - "Traceback (most recent call last):\n", - " File \"/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py\", line 712, in __del__\n", - "TypeError: 'NoneType' object is not callable\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "INFO:__main__:Training took 1181.702 seconds\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stderr.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "10.0.0.5,10.0.0.6,10.0.0.7,10.0.0.8,10.0.0.9,10.0.0.10,10.0.0.11,10.0.0.12\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Epoch 1/1\n", - "\n", - " 1/625 [..............................] - ETA: 2:34:27 - loss: 8.4450 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0000e+00\n", - " 2/625 [..............................] - ETA: 1:26:38 - loss: 8.6060 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0078 \n", - " 3/625 [..............................] - ETA: 1:03:54 - loss: 8.6360 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0052\n", - " 4/625 [..............................] - ETA: 52:23 - loss: 8.6154 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0039 \n", - " 5/625 [..............................] - ETA: 45:32 - loss: 8.5906 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0031\n", - " 6/625 [..............................] - ETA: 40:54 - loss: 8.5634 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0026\n", - " 7/625 [..............................] - ETA: 37:38 - loss: 8.5552 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0022\n", - " 8/625 [..............................] - ETA: 35:09 - loss: 8.5574 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0020\n", - " 9/625 [..............................] - ETA: 33:13 - loss: 8.5183 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0035\n", - " 10/625 [..............................] - ETA: 31:41 - loss: 8.4983 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0031\n", - " 11/625 [..............................] - ETA: 30:25 - loss: 8.5111 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0028\n", - " 12/625 [..............................] - ETA: 29:21 - loss: 8.4889 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0026\n", - " 13/625 [..............................] - ETA: 28:27 - loss: 8.4923 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0024\n", - " 14/625 [..............................] - ETA: 27:38 - loss: 8.4864 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0022\n", - " 15/625 [..............................] - ETA: 26:57 - loss: 8.4660 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0021\n", - " 16/625 [..............................] - ETA: 26:20 - loss: 8.4580 - acc: 9.7656e-04 - top_k_categorical_accuracy: 0.0029\n", - " 17/625 [..............................] - ETA: 25:49 - loss: 8.4355 - acc: 9.1912e-04 - top_k_categorical_accuracy: 0.0037\n", - " 18/625 [..............................] - ETA: 25:20 - loss: 8.4296 - acc: 8.6806e-04 - top_k_categorical_accuracy: 0.0035\n", - " 19/625 [..............................] - ETA: 24:55 - loss: 8.4295 - acc: 8.2237e-04 - top_k_categorical_accuracy: 0.0033\n", - " 20/625 [..............................] - ETA: 24:31 - loss: 8.4168 - acc: 7.8125e-04 - top_k_categorical_accuracy: 0.0031\n", - " 21/625 [>.............................] - ETA: 24:09 - loss: 8.4054 - acc: 7.4405e-04 - top_k_categorical_accuracy: 0.0037\n", - " 22/625 [>.............................] - ETA: 23:50 - loss: 8.3885 - acc: 7.1023e-04 - top_k_categorical_accuracy: 0.0036\n", - " 23/625 [>.............................] - ETA: 23:31 - loss: 8.3794 - acc: 6.7935e-04 - top_k_categorical_accuracy: 0.0034\n", - " 24/625 [>.............................] - ETA: 23:15 - loss: 8.3658 - acc: 6.5104e-04 - top_k_categorical_accuracy: 0.0033\n", - " 25/625 [>.............................] - ETA: 22:59 - loss: 8.3547 - acc: 6.2500e-04 - top_k_categorical_accuracy: 0.0031\n", - " 26/625 [>.............................] - ETA: 22:45 - loss: 8.3415 - acc: 0.0012 - top_k_categorical_accuracy: 0.0042 \n", - " 27/625 [>.............................] - ETA: 22:31 - loss: 8.3351 - acc: 0.0012 - top_k_categorical_accuracy: 0.0041\n", - " 28/625 [>.............................] - ETA: 22:19 - loss: 8.3325 - acc: 0.0011 - top_k_categorical_accuracy: 0.0039\n", - " 29/625 [>.............................] - ETA: 22:07 - loss: 8.3290 - acc: 0.0011 - top_k_categorical_accuracy: 0.0038\n", - " 30/625 [>.............................] - ETA: 21:56 - loss: 8.3273 - acc: 0.0010 - top_k_categorical_accuracy: 0.0036\n", - " 31/625 [>.............................] - ETA: 21:45 - loss: 8.3271 - acc: 0.0010 - top_k_categorical_accuracy: 0.0035\n", - " 32/625 [>.............................] - ETA: 21:35 - loss: 8.3157 - acc: 9.7656e-04 - top_k_categorical_accuracy: 0.0034\n", - " 33/625 [>.............................] - ETA: 21:25 - loss: 8.3130 - acc: 9.4697e-04 - top_k_categorical_accuracy: 0.0033\n", - " 34/625 [>.............................] - ETA: 21:17 - loss: 8.3033 - acc: 9.1912e-04 - top_k_categorical_accuracy: 0.0032\n", - " 35/625 [>.............................] - ETA: 21:07 - loss: 8.2985 - acc: 8.9286e-04 - top_k_categorical_accuracy: 0.0031\n", - " 36/625 [>.............................] - ETA: 20:59 - loss: 8.2929 - acc: 8.6806e-04 - top_k_categorical_accuracy: 0.0030\n", - " 37/625 [>.............................] - ETA: 20:51 - loss: 8.2851 - acc: 8.4459e-04 - top_k_categorical_accuracy: 0.0030\n", - " 38/625 [>.............................] - ETA: 20:44 - loss: 8.2792 - acc: 8.2237e-04 - top_k_categorical_accuracy: 0.0029\n", - " 39/625 [>.............................] - ETA: 20:37 - loss: 8.2716 - acc: 8.0128e-04 - top_k_categorical_accuracy: 0.0032\n", - " 40/625 [>.............................] - ETA: 20:31 - loss: 8.2644 - acc: 7.8125e-04 - top_k_categorical_accuracy: 0.0031\n", - " 41/625 [>.............................] - ETA: 20:24 - loss: 8.2544 - acc: 7.6220e-04 - top_k_categorical_accuracy: 0.0030\n", - " 42/625 [=>............................] - ETA: 20:17 - loss: 8.2466 - acc: 7.4405e-04 - top_k_categorical_accuracy: 0.0033\n", - " 43/625 [=>............................] - ETA: 20:11 - loss: 8.2410 - acc: 7.2674e-04 - top_k_categorical_accuracy: 0.0040\n", - " 44/625 [=>............................] - ETA: 20:05 - loss: 8.2352 - acc: 0.0011 - top_k_categorical_accuracy: 0.0046 \n", - " 45/625 [=>............................] - ETA: 19:59 - loss: 8.2324 - acc: 0.0010 - top_k_categorical_accuracy: 0.0049\n", - " 46/625 [=>............................] - ETA: 19:53 - loss: 8.2264 - acc: 0.0010 - top_k_categorical_accuracy: 0.0048\n", - " 47/625 [=>............................] - ETA: 19:48 - loss: 8.2190 - acc: 9.9734e-04 - top_k_categorical_accuracy: 0.0050\n", - " 48/625 [=>............................] - ETA: 19:42 - loss: 8.2139 - acc: 9.7656e-04 - top_k_categorical_accuracy: 0.0049\n", - " 49/625 [=>............................] - ETA: 19:37 - loss: 8.2084 - acc: 9.5663e-04 - top_k_categorical_accuracy: 0.0048\n", - " 50/625 [=>............................] - ETA: 19:32 - loss: 8.2035 - acc: 9.3750e-04 - top_k_categorical_accuracy: 0.0047\n", - " 51/625 [=>............................] - ETA: 19:28 - loss: 8.1982 - acc: 9.1912e-04 - top_k_categorical_accuracy: 0.0049\n", - " 52/625 [=>............................] - ETA: 19:23 - loss: 8.1920 - acc: 0.0012 - top_k_categorical_accuracy: 0.0054 \n", - " 53/625 [=>............................] - ETA: 19:18 - loss: 8.1864 - acc: 0.0012 - top_k_categorical_accuracy: 0.0053\n", - " 54/625 [=>............................] - ETA: 19:14 - loss: 8.1842 - acc: 0.0012 - top_k_categorical_accuracy: 0.0055\n", - " 55/625 [=>............................] - ETA: 19:09 - loss: 8.1797 - acc: 0.0011 - top_k_categorical_accuracy: 0.0054\n", - " 56/625 [=>............................] - ETA: 19:05 - loss: 8.1727 - acc: 0.0014 - top_k_categorical_accuracy: 0.0059\n", - " 57/625 [=>............................] - ETA: 19:00 - loss: 8.1689 - acc: 0.0014 - top_k_categorical_accuracy: 0.0058\n", - " 58/625 [=>............................] - ETA: 19:01 - loss: 8.1645 - acc: 0.0013 - top_k_categorical_accuracy: 0.0059\n", - " 59/625 [=>............................] - ETA: 18:57 - loss: 8.1626 - acc: 0.0013 - top_k_categorical_accuracy: 0.0061\n", - " 60/625 [=>............................] - ETA: 18:53 - loss: 8.1570 - acc: 0.0013 - top_k_categorical_accuracy: 0.0060\n", - " 61/625 [=>............................] - ETA: 18:49 - loss: 8.1534 - acc: 0.0013 - top_k_categorical_accuracy: 0.0061\n", - " 62/625 [=>............................] - ETA: 18:45 - loss: 8.1517 - acc: 0.0013 - top_k_categorical_accuracy: 0.0060\n", - " 63/625 [==>...........................] - ETA: 18:41 - loss: 8.1507 - acc: 0.0012 - top_k_categorical_accuracy: 0.0060\n", - " 64/625 [==>...........................] - ETA: 18:37 - loss: 8.1472 - acc: 0.0012 - top_k_categorical_accuracy: 0.0059\n", - " 65/625 [==>...........................] - ETA: 18:34 - loss: 8.1438 - acc: 0.0012 - top_k_categorical_accuracy: 0.0060\n", - " 66/625 [==>...........................] - ETA: 18:30 - loss: 8.1409 - acc: 0.0012 - top_k_categorical_accuracy: 0.0059\n", - " 67/625 [==>...........................] - ETA: 18:26 - loss: 8.1366 - acc: 0.0012 - top_k_categorical_accuracy: 0.0061\n", - " 68/625 [==>...........................] - ETA: 18:23 - loss: 8.1335 - acc: 0.0011 - top_k_categorical_accuracy: 0.0060\n", - " 69/625 [==>...........................] - ETA: 18:19 - loss: 8.1287 - acc: 0.0011 - top_k_categorical_accuracy: 0.0061\n", - " 70/625 [==>...........................] - ETA: 18:16 - loss: 8.1259 - acc: 0.0011 - top_k_categorical_accuracy: 0.0063\n", - " 71/625 [==>...........................] - ETA: 18:12 - loss: 8.1223 - acc: 0.0011 - top_k_categorical_accuracy: 0.0062\n", - " 72/625 [==>...........................] - ETA: 18:09 - loss: 8.1175 - acc: 0.0013 - top_k_categorical_accuracy: 0.0067\n", - " 73/625 [==>...........................] - ETA: 18:05 - loss: 8.1159 - acc: 0.0013 - top_k_categorical_accuracy: 0.0066\n", - " 74/625 [==>...........................] - ETA: 18:02 - loss: 8.1122 - acc: 0.0013 - top_k_categorical_accuracy: 0.0065\n", - " 75/625 [==>...........................] - ETA: 17:59 - loss: 8.1094 - acc: 0.0013 - top_k_categorical_accuracy: 0.0065\n", - " 76/625 [==>...........................] - ETA: 17:56 - loss: 8.1063 - acc: 0.0012 - top_k_categorical_accuracy: 0.0064\n", - " 77/625 [==>...........................] - ETA: 17:53 - loss: 8.1030 - acc: 0.0012 - top_k_categorical_accuracy: 0.0063\n", - " 78/625 [==>...........................] - ETA: 17:49 - loss: 8.1006 - acc: 0.0012 - top_k_categorical_accuracy: 0.0062\n", - " 79/625 [==>...........................] - ETA: 17:46 - loss: 8.0984 - acc: 0.0012 - top_k_categorical_accuracy: 0.0061\n", - " 80/625 [==>...........................] - ETA: 17:43 - loss: 8.0950 - acc: 0.0012 - top_k_categorical_accuracy: 0.0063\n", - " 81/625 [==>...........................] - ETA: 17:40 - loss: 8.0927 - acc: 0.0012 - top_k_categorical_accuracy: 0.0062\n", - " 82/625 [==>...........................] - ETA: 17:37 - loss: 8.0913 - acc: 0.0011 - top_k_categorical_accuracy: 0.0061\n", - " 83/625 [==>...........................] - ETA: 17:34 - loss: 8.0894 - acc: 0.0011 - top_k_categorical_accuracy: 0.0060\n", - " 84/625 [===>..........................] - ETA: 17:31 - loss: 8.0879 - acc: 0.0011 - top_k_categorical_accuracy: 0.0060\n", - " 85/625 [===>..........................] - ETA: 17:28 - loss: 8.0853 - acc: 0.0011 - top_k_categorical_accuracy: 0.0063\n", - " 86/625 [===>..........................] - ETA: 17:25 - loss: 8.0822 - acc: 0.0013 - top_k_categorical_accuracy: 0.0064\n", - " 87/625 [===>..........................] - ETA: 17:22 - loss: 8.0800 - acc: 0.0013 - top_k_categorical_accuracy: 0.0063\n", - " 88/625 [===>..........................] - ETA: 17:19 - loss: 8.0775 - acc: 0.0012 - top_k_categorical_accuracy: 0.0062\n", - " 89/625 [===>..........................] - ETA: 17:16 - loss: 8.0763 - acc: 0.0012 - top_k_categorical_accuracy: 0.0061\n", - " 90/625 [===>..........................] - ETA: 17:13 - loss: 8.0747 - acc: 0.0012 - top_k_categorical_accuracy: 0.0061\n", - " 91/625 [===>..........................] - ETA: 17:11 - loss: 8.0722 - acc: 0.0012 - top_k_categorical_accuracy: 0.0060\n", - " 92/625 [===>..........................] - 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"Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai job delete --name horovod_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": 275, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:py35]", - "language": "python", - "name": "conda-env-py35-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/HorovodImagenetBatchAI-NFS.ipynb b/_tmp/HorovodImagenetBatchAI-NFS.ipynb deleted file mode 100644 index 83b68ea..0000000 --- a/_tmp/HorovodImagenetBatchAI-NFS.ipynb +++ /dev/null @@ -1,1964 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mTo sign in, use a web browser to open the page https://microsoft.com/devicelogin and enter the code ABNVKQJ47 to authenticate.\u001b[0m\n", - "CloudName Name State TenantId IsDefault\n", - "----------- ----------------------------- ------- ------------------------------------ -----------\n", - "AzureCloud Boston DS Dev Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Azure Internal - London Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Danielle Internal Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47 True\n", - "AzureCloud Visual Studio Enterprise Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Boston Engineering Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ADLTrainingMS Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyExt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Ads Eng Big Data Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling Preview Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling development Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud AzureML Client PROD Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud R portal - Production Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyInt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Project Vienna Demo 1 Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Solution Template Testing Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Ilan Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Marketing Automation Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n" - ] - } - ], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 325, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n", - "UST Container Registration AzureCloud 1f65a667-2b81-49ca-aea3-f8dd9fd3e1d9 Enabled\r\n", - "ASutton Subscription AzureCloud 10d0b7c6-9243-4713-91a9-2730375d3a1b Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 223, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"ASutton Subscription\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.24)\r\n", - "\r\n", - "acr (2.0.18)\r\n", - "acs (2.0.23)\r\n", - "advisor (0.1.1)\r\n", - "appservice (0.1.23)\r\n", - "backup (1.0.4)\r\n", - "batch (3.1.8)\r\n", - "batchai (0.1.4)\r\n", - "billing (0.1.7)\r\n", - "cdn (0.0.11)\r\n", - "cloud (2.0.11)\r\n", - "cognitiveservices (0.1.10)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.13)\r\n", - "consumption (0.2.1)\r\n", - "container (0.1.16)\r\n", - "core (2.0.24)\r\n", - "cosmosdb (0.1.16)\r\n", - "dla (0.0.16)\r\n", - "dls (0.0.19)\r\n", - "eventgrid (0.1.7)\r\n", - "extension (0.0.7)\r\n", - "feedback (2.0.7)\r\n", - "find (0.2.8)\r\n", - "interactive (0.3.12)\r\n", - "iot (0.1.16)\r\n", - "keyvault (2.0.16)\r\n", - "lab (0.0.14)\r\n", - "monitor (0.0.14)\r\n", - "network (2.0.20)\r\n", - "nspkg (3.0.1)\r\n", - "profile (2.0.17)\r\n", - "rdbms (0.0.10)\r\n", - "redis (0.2.11)\r\n", - "reservations (0.1.1)\r\n", - "resource (2.0.20)\r\n", - "role (2.0.16)\r\n", - "servicefabric (0.0.8)\r\n", - "sql (2.0.18)\r\n", - "storage (2.0.22)\r\n", - "vm (2.0.23)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/mat/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Jan 5 2018, 21:18:08) \r\n", - "[GCC 4.8.4]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch2{uuid}share\".format(uuid=short_uuid)\n", - "NFS_NAME=\"batch{uuid}nfs\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 225, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location Name\r\n", - "---------- ---------------\r\n", - "eastus batch90ab64c3rg\r\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 226, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batch90ab64c3st provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 374, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join([i for i in json_data if 'WARNING' not in i]))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 334, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 335, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 375, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 376, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 377, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batchfcab5890st\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 378, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=qTUeM/dh+vIhiKcrYx3EkvJKEOACztR2D7GAxE/5bRXnkxdU1T3e1JyYmbL4Rr43AMt6NMYW3OXPrg0iiyLk1g==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you get an error when creating the NFS share below about permissions please run the command below\n", - "```bash\n", - "!az role assignment create --scope /subscriptions/ --role \"Network Contributor\" --assignee 9fcb3732-5f52-4135-8c08-9d4bbaf203ea\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 234, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batch90ab64c3rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"creationTime\": \"2018-05-20T22:08:13.059000+00:00\",\n", - " \"dataDisks\": {\n", - " \"cachingType\": \"none\",\n", - " \"diskCount\": 4,\n", - " \"diskSizeInGb\": 250,\n", - " \"storageAccountType\": \"Premium_LRS\"\n", - " },\n", - " \"id\": \"/subscriptions/10d0b7c6-9243-4713-91a9-2730375d3a1b/resourceGroups/batch90ab64c3rg/providers/Microsoft.BatchAI/fileservers/batch90ab64c3nfs\",\n", - " \"location\": \"eastus\",\n", - " \"mountSettings\": {\n", - " \"fileServerInternalIp\": \"10.0.0.4\",\n", - " \"fileServerPublicIp\": \"40.114.123.205\",\n", - " \"fileServerType\": \"nfs\",\n", - " \"mountPoint\": \"/data\"\n", - " },\n", - " \"name\": \"batch90ab64c3nfs\",\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-20T22:12:05.366000+00:00\",\n", - " \"resourceGroup\": \"batch90ab64c3rg\",\n", - " \"sshConfiguration\": {\n", - " \"publicIpsToAllow\": null,\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"id\": \"/subscriptions/10d0b7c6-9243-4713-91a9-2730375d3a1b/resourceGroups/fileserverrg-8635f485-0d7b-4556-b344-02512535564a/providers/Microsoft.Network/virtualNetworks/8635f485-0d7b-4556-b344-02512535564avnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-8635f485-0d7b-4556-b344-02512535564a\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/FileServers\",\n", - " \"vmSize\": \"Standard_DS4_v2\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai file-server create -n $NFS_NAME --disk-count 4 --disk-size 250 -s Standard_DS4_v2 -u mat -p d13NHAL! -g $GROUP_NAME -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 320, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group Size Disks Public IP Internal IP Type Mount Point\n", - "---------------- ---------------- --------------- ---------- ------------ ------------- ------ -------------\n", - "batchfcab5890nfs batchfcab5890rg Standard_DS4_v2 4 x 250 Gb 40.114.69.36 10.0.0.4 nfs /data\n" - ] - } - ], - "source": [ - "!az batchai file-server list -o table " - ] - }, - { - "cell_type": "code", - "execution_count": 254, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting nodeprep.sh\n" - ] - } - ], - "source": [ - "%%writefile nodeprep.sh\n", - "#!/usr/bin/env bash\n", - "wget https://gist.githubusercontent.com/msalvaris/073c28a9993d58498957294d20d74202/raw/916eefe763c71da49d8ed41cb8474bdc8021af33/install_azcopy\n", - "chmod 777 install_azcopy\n", - "sudo ./install_azcopy\n", - "\n", - "mkdir -p /data/imagenet\n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \\\n", - " --destination /data/imagenet/validation.csv\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D\"\\\n", - " --quiet\n", - " \n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz \\\n", - " --destination /data/imagenet/validation.tar.gz\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D\"\\\n", - " --quiet\n", - "\n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \\\n", - " --destination /data/imagenet/train.csv\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D\"\\\n", - " --quiet\n", - " \n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz \\\n", - " --destination /data/imagenet/train.tar.gz\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=qP%2B7lQuFKHo5UhQKpHcKt6p5fHT21lPaLz1O/vv4FNU%3D\"\\\n", - " --quiet\n", - " \n", - "cd /data/imagenet\n", - "tar -xvzf train.tar.gz\n", - "tar -xzvf validation.tar.gz" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Copy the file over and run it on the NFS VM. This will install azcopy and download and prepare the data\n", - "```bash\n", - "scp nodeprep.sh mat@:~/\n", - "ssh mat@ sudo chmod 777 ~/nodeprep.sh\n", - "ssh mat@ ./nodeprep.sh\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 340, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetKerasHorovod.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 341, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/timer.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"additionalProperties\": {},\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-05-22T22:26:17.172000+00:00\",\n", - " \"creationTime\": \"2018-05-22T22:26:17.172000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24rp\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24rp\",\n", - " \"nodeSetup\": {\n", - " \"additionalProperties\": {},\n", - " \"mountVolumes\": {\n", - " \"additionalProperties\": {},\n", - " \"azureBlobFileSystems\": null,\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"additionalProperties\": {},\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null,\n", - " \"additionalProperties\": {}\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"fileServer\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/fileservers/batchfcab5890nfs\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"mountOptions\": \"rw\",\n", - " \"relativeMountPath\": \"nfs\",\n", - " \"sourceDirectory\": null\n", - " }\n", - " ],\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"performanceCountersSettings\": null,\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"additionalProperties\": {},\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-22T22:26:18.406000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"additionalProperties\": {},\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 4\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae/providers/Microsoft.Network/virtualNetworks/ecb3eec6-ae81-4fdb-8fb9-0a57266b20aevnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"additionalProperties\": {},\n", - " \"imageReference\": {\n", - " \"additionalProperties\": {},\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\",\n", - " \"virtualMachineImageId\": null\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24RS_V2\"\n", - "}\n", - "\u001b[0m" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24r \\\n", - "--min 4 --max 4 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key \\\n", - "--nfs $NFS_NAME \\\n", - "--nfs-mount-path nfs" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "{\n", - " \"additionalProperties\": {},\n", - " \"allocationState\": \"steady\",\n", - " \"allocationStateTransitionTime\": \"2018-05-22T22:28:34.702000+00:00\",\n", - " \"creationTime\": \"2018-05-22T22:26:17.172000+00:00\",\n", - " \"currentNodeCount\": 4,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24rp\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24rp\",\n", - " \"nodeSetup\": {\n", - " \"additionalProperties\": {},\n", - " \"mountVolumes\": {\n", - " \"additionalProperties\": {},\n", - " \"azureBlobFileSystems\": null,\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"additionalProperties\": {},\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null,\n", - " \"additionalProperties\": {}\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"fileServer\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/fileservers/batchfcab5890nfs\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"mountOptions\": \"rw\",\n", - " \"relativeMountPath\": \"nfs\",\n", - " \"sourceDirectory\": null\n", - " }\n", - " ],\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"performanceCountersSettings\": null,\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"additionalProperties\": {},\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 4,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-22T22:26:18.406000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"additionalProperties\": {},\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 4\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae/providers/Microsoft.Network/virtualNetworks/ecb3eec6-ae81-4fdb-8fb9-0a57266b20aevnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"additionalProperties\": {},\n", - " \"imageReference\": {\n", - " \"additionalProperties\": {},\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\",\n", - " \"virtualMachineImageId\": null\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24RS_V2\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\n", - "------ ---------------- ------------------ ------- ------ --------- ----------- --------- ----------\n", - "nc24rv batchfcab5890rg STANDARD_NC24RS_V3 steady 2 0 0 0 0\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 390, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "ID IP Port\n", - "--------------------------------- ----------- ------\n", - "tvm-1915592855_1-20180521t204411z 168.61.46.5 50000\n", - "tvm-1915592855_2-20180521t204411z 168.61.46.5 50001\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2017-09-01-preview/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 2,\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; \\\n", - " echo $AZ_BATCH_HOST_LIST; \\\n", - " mpirun -n 8 -ppn 4 -hosts $AZ_BATCH_HOST_LIST \\\n", - " -env I_MPI_FABRICS=dapl \\\n", - " -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 \\\n", - " -env I_MPI_DYNAMIC_CONNECTION=0 \\\n", - " -env DISTRIBUTED=True \\\n", - " -genvall \\\n", - " python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetKerasHorovod.py\"\n", - " },\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet/train\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet/test\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"masalvar/horovod-intel-keras\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"additionalProperties\": {},\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24rv\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"cntkSettings\": null,\n", - " \"constraints\": {\n", - " \"additionalProperties\": {},\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"imageSourceRegistry\": {\n", - " \"additionalProperties\": {},\n", - " \"credentials\": null,\n", - " \"image\": \"masalvar/horovod-intel-keras\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-05-23T08:48:13.419000+00:00\",\n", - " \"customToolkitSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; echo $AZ_BATCH_HOST_LIST; mpirun -n 8 -ppn 4 -hosts $AZ_BATCH_HOST_LIST -env I_MPI_FABRICS=dapl -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 -env I_MPI_DYNAMIC_CONNECTION=0 -env DISTRIBUTED=True -genvall python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetKerasHorovod.py\"\n", - " },\n", - " \"environmentVariables\": null,\n", - " \"executionInfo\": {\n", - " \"additionalProperties\": {},\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-05-23T08:48:15.327000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-05-23T08:48:15.353000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/jobs/horovod_benchmark\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet/train\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet/test\"\n", - " }\n", - " ],\n", - " \"jobOutputDirectoryPathSegment\": \"edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/9a7f20a0-c22a-4012-aa98-409479298733\",\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"mountVolumes\": null,\n", - " \"name\": \"horovod_benchmark\",\n", - " \"nodeCount\": 2,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-23T08:48:14.329000+00:00\",\n", - " \"pyTorchSettings\": null,\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"secrets\": null,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"custom\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n", - "\u001b[0m" - ] - } - ], - "source": [ - "!az batchai job create -n horovod_benchmark --cluster-name nc24r -c job.json" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\n" - ] - } - ], - "source": [ - " !az batchai job list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "[\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"contentLength\": 24556,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/9a7f20a0-c22a-4012-aa98-409479298733/stdouterr/execution-tvm-4283973576_1-20180522t223140z.log?sv=2016-05-31&sr=f&sig=t0IIw%2BcP7Oqm3%2BL9xefDxC7P0cMEolBR9IJn53dA3VE%3D&se=2018-05-23T09%3A52%3A24Z&sp=rl\",\n", - " \"isDirectory\": false,\n", - " \"lastModified\": \"2018-05-23T08:49:48+00:00\",\n", - " \"name\": \"execution-tvm-4283973576_1-20180522t223140z.log\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"contentLength\": 23572,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/9a7f20a0-c22a-4012-aa98-409479298733/stdouterr/execution-tvm-4283973576_2-20180522t223140z.log?sv=2016-05-31&sr=f&sig=zdpLtyn9hospTfoKo6f2Zvt%2B2HMHfMG3dojGx%2Ff2QRY%3D&se=2018-05-23T09%3A52%3A24Z&sp=rl\",\n", - " \"isDirectory\": false,\n", - " \"lastModified\": \"2018-05-23T08:49:46+00:00\",\n", - " \"name\": \"execution-tvm-4283973576_2-20180522t223140z.log\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"contentLength\": 10600,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/9a7f20a0-c22a-4012-aa98-409479298733/stdouterr/stderr.txt?sv=2016-05-31&sr=f&sig=BXdu79dP4E4yyYYK9pY6z4vh8WBiANfqdSKjuGz8VKE%3D&se=2018-05-23T09%3A52%3A24Z&sp=rl\",\n", - " \"isDirectory\": false,\n", - " \"lastModified\": \"2018-05-23T08:52:24+00:00\",\n", - " \"name\": \"stderr.txt\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"contentLength\": 19,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/9a7f20a0-c22a-4012-aa98-409479298733/stdouterr/stdout.txt?sv=2016-05-31&sr=f&sig=I0W3gGqqDdBige9QUhrDyPHkN5z%2BABu39niArJLihoE%3D&se=2018-05-23T09%3A52%3A24Z&sp=rl\",\n", - " \"isDirectory\": false,\n", - " \"lastModified\": \"2018-05-23T08:49:48+00:00\",\n", - " \"name\": \"stdout.txt\"\n", - " }\n", - "]\n" - ] - } - ], - "source": [ - "!az batchai job file list --name horovod_benchmark --output-directory-id stdouterr" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\u001b[33mFile found with URL \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/9a7f20a0-c22a-4012-aa98-409479298733/stdouterr/stderr.txt?sv=2016-05-31&sr=f&sig=%2FUYheWgL4UzM6Hn%2B2K%2Be9EezDOlohnkfRx3lO%2FMO3K4%3D&se=2018-05-23T10%3A01%3A37Z&sp=rl\". Start streaming\u001b[0m\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "Using TensorFlow backend.\n", - "INFO:__main__:Runnin Distributed\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-23 08:49:51.452380: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-23 08:49:51.452466: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-23 08:49:51.452742: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-23 08:49:51.452789: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-23 08:49:51.452948: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-23 08:49:51.453017: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "2018-05-23 08:49:51.453116: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-23 08:49:51.453239: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-23 08:49:53.578398: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 03c9:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-23 08:49:53.578453: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-23 08:49:53.586279: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: c352:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-23 08:49:53.586317: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-23 08:49:53.590142: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: d00d:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-23 08:49:53.590198: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-23 08:49:53.608096: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: eb08:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-23 08:49:53.608137: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-23 08:49:53.952608: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: e839:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-23 08:49:53.952735: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-23 08:49:53.952954: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: cf3d:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-23 08:49:53.952992: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-23 08:49:53.955431: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: aa55:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-23 08:49:53.955484: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-23 08:49:53.955891: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: b642:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-23 08:49:53.955924: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-23 08:49:54.021044: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 03c9:00:00.0, compute capability: 7.0)\n", - "2018-05-23 08:49:54.024909: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: c352:00:00.0, compute capability: 7.0)\n", - "2018-05-23 08:49:54.050967: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: d00d:00:00.0, compute capability: 7.0)\n", - "2018-05-23 08:49:54.051372: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: eb08:00:00.0, compute capability: 7.0)\n", - "2018-05-23 08:49:54.399512: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: aa55:00:00.0, compute capability: 7.0)\n", - "2018-05-23 08:49:54.414505: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: b642:00:00.0, compute capability: 7.0)\n", - "2018-05-23 08:49:54.426361: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: e839:00:00.0, compute capability: 7.0)\n", - "2018-05-23 08:49:54.430932: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: cf3d:00:00.0, compute capability: 7.0)\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Creating model\n", - "INFO:__main__:Rank: 1 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 3 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 1 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 0 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 8\n", - "INFO:__main__:Training...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "^C\r\n" - ] - } - ], - "source": [ - "!az batchai job file stream --name horovod_benchmark --output-directory-id stdouterr --file-name stderr.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 370, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "10.0.0.5,10.0.0.6,10.0.0.7,10.0.0.8,10.0.0.9,10.0.0.10,10.0.0.11,10.0.0.12\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Epoch 1/1\n", - "\n", - " 1/625 [..............................] - ETA: 3:46:00 - loss: 8.4399 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0312\n", - " 2/625 [..............................] - ETA: 1:55:15 - loss: 8.5220 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0156\n", - " 3/625 [..............................] - ETA: 1:18:13 - loss: 8.6386 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0156\n", - " 4/625 [..............................] - ETA: 59:40 - loss: 8.6086 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0156 \n", - " 5/625 [..............................] - ETA: 48:33 - loss: 8.6233 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0125\n", - " 6/625 [..............................] - ETA: 41:08 - loss: 8.5783 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0104\n", - " 7/625 [..............................] - ETA: 35:52 - loss: 8.5454 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0089\n", - " 8/625 [..............................] - ETA: 31:56 - loss: 8.5312 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0098\n", - " 9/625 [..............................] - ETA: 28:52 - loss: 8.5272 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0087\n", - " 10/625 [..............................] - ETA: 26:24 - loss: 8.5122 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0078\n", - " 11/625 [..............................] - ETA: 24:22 - loss: 8.4922 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0085\n", - " 12/625 [..............................] - ETA: 22:40 - loss: 8.4989 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0078\n", - " 13/625 [..............................] - ETA: 21:15 - loss: 8.4727 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0072\n", - " 14/625 [..............................] - ETA: 20:01 - loss: 8.4635 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0089\n", - " 15/625 [..............................] - ETA: 18:59 - loss: 8.4457 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0083\n", - " 16/625 [..............................] - ETA: 18:09 - loss: 8.4275 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0078\n", - " 17/625 [..............................] - ETA: 18:46 - loss: 8.4300 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0074\n", - " 18/625 [..............................] - ETA: 18:06 - loss: 8.4283 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0069\n", - " 19/625 [..............................] - ETA: 17:32 - loss: 8.4178 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0066\n", - " 20/625 [..............................] - ETA: 16:54 - loss: 8.4087 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0078\n", - " 21/625 [>.............................] - ETA: 17:40 - loss: 8.4173 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0074\n", - " 22/625 [>.............................] - ETA: 17:20 - loss: 8.4131 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0071\n", - " 23/625 [>.............................] - ETA: 16:47 - loss: 8.4103 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0068\n", - " 24/625 [>.............................] - ETA: 16:19 - loss: 8.4034 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0072\n", - " 25/625 [>.............................] - ETA: 16:59 - loss: 8.3870 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0081\n", - " 26/625 [>.............................] - ETA: 16:39 - loss: 8.3861 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0078\n", - " 27/625 [>.............................] - ETA: 16:16 - loss: 8.3800 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0081\n", - " 28/625 [>.............................] - ETA: 15:49 - loss: 8.3689 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0084\n", - " 29/625 [>.............................] - ETA: 16:22 - loss: 8.3658 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0081\n", - " 30/625 [>.............................] - ETA: 16:10 - loss: 8.3612 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0078\n", - " 31/625 [>.............................] - ETA: 15:47 - loss: 8.3526 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0076\n", - " 32/625 [>.............................] - ETA: 15:29 - loss: 8.3398 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0073\n", - " 33/625 [>.............................] - ETA: 15:57 - loss: 8.3350 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0071\n", - " 34/625 [>.............................] - ETA: 15:46 - loss: 8.3283 - acc: 0.0000e+00 - top_k_categorical_accuracy: 0.0069\n", - " 35/625 [>.............................] - ETA: 15:28 - loss: 8.3266 - acc: 4.4643e-04 - top_k_categorical_accuracy: 0.0071\n", - " 36/625 [>.............................] - ETA: 15:08 - loss: 8.3180 - acc: 4.3403e-04 - top_k_categorical_accuracy: 0.0069\n", - " 37/625 [>.............................] - ETA: 15:36 - loss: 8.3094 - acc: 4.2230e-04 - top_k_categorical_accuracy: 0.0072\n", - " 38/625 [>.............................] - ETA: 15:24 - loss: 8.3046 - acc: 4.1118e-04 - top_k_categorical_accuracy: 0.0070\n", - " 39/625 [>.............................] - ETA: 15:06 - loss: 8.3006 - acc: 4.0064e-04 - top_k_categorical_accuracy: 0.0068\n", - " 40/625 [>.............................] - ETA: 14:52 - loss: 8.2951 - acc: 3.9063e-04 - top_k_categorical_accuracy: 0.0066\n", - " 41/625 [>.............................] - ETA: 15:10 - loss: 8.2880 - acc: 3.8110e-04 - top_k_categorical_accuracy: 0.0065\n", - " 42/625 [=>............................] - ETA: 14:56 - loss: 8.2792 - acc: 7.4405e-04 - top_k_categorical_accuracy: 0.0067\n", - " 43/625 [=>............................] - ETA: 14:44 - loss: 8.2742 - acc: 7.2674e-04 - top_k_categorical_accuracy: 0.0065\n", - " 44/625 [=>............................] - ETA: 14:31 - loss: 8.2699 - acc: 7.1023e-04 - top_k_categorical_accuracy: 0.0064\n", - " 45/625 [=>............................] - ETA: 14:44 - loss: 8.2629 - acc: 6.9444e-04 - top_k_categorical_accuracy: 0.0063\n", - " 46/625 [=>............................] - ETA: 14:37 - loss: 8.2545 - acc: 6.7935e-04 - top_k_categorical_accuracy: 0.0065\n", - " 47/625 [=>............................] - ETA: 14:25 - loss: 8.2482 - acc: 6.6489e-04 - top_k_categorical_accuracy: 0.0063\n", - " 48/625 [=>............................] - ETA: 14:13 - loss: 8.2426 - acc: 6.5104e-04 - top_k_categorical_accuracy: 0.0065\n", - " 49/625 [=>............................] - ETA: 14:23 - loss: 8.2368 - acc: 6.3776e-04 - top_k_categorical_accuracy: 0.0067\n", - " 50/625 [=>............................] - ETA: 14:17 - loss: 8.2343 - acc: 6.2500e-04 - top_k_categorical_accuracy: 0.0066\n", - " 51/625 [=>............................] - ETA: 14:13 - loss: 8.2308 - acc: 6.1275e-04 - top_k_categorical_accuracy: 0.0067\n", - " 52/625 [=>............................] - ETA: 13:59 - loss: 8.2236 - acc: 6.0096e-04 - top_k_categorical_accuracy: 0.0069\n", - " 53/625 [=>............................] - ETA: 14:07 - loss: 8.2193 - acc: 5.8962e-04 - top_k_categorical_accuracy: 0.0068\n", - " 54/625 [=>............................] - ETA: 13:59 - loss: 8.2173 - acc: 5.7870e-04 - top_k_categorical_accuracy: 0.0067\n", - " 55/625 [=>............................] - ETA: 13:53 - loss: 8.2125 - acc: 8.5227e-04 - top_k_categorical_accuracy: 0.0068\n", - " 56/625 [=>............................] - ETA: 13:42 - loss: 8.2119 - acc: 8.3705e-04 - top_k_categorical_accuracy: 0.0070\n", - " 57/625 [=>............................] - ETA: 13:50 - loss: 8.2088 - acc: 8.2237e-04 - top_k_categorical_accuracy: 0.0069\n", - " 58/625 [=>............................] - 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"text": [ - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "Found 1281167 images belonging to 1000 classes.\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job file stream --name horovod_benchmark --output-directory-id stdouterr --file-name stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\u001b[K - Finished ..\u001b[0m" - ] - } - ], - "source": [ - "!az batchai job delete --name horovod_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": 323, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 324, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batch6c03bc15rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai file-server delete -n $NFS_NAME -y -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batch6c03bc15rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:py35]", - "language": "python", - "name": "conda-env-py35-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/PrepareImagenetData.ipynb b/_tmp/PrepareImagenetData.ipynb deleted file mode 100644 index de860a6..0000000 --- a/_tmp/PrepareImagenetData.ipynb +++ /dev/null @@ -1,562 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "from scipy.io import loadmat\n", - "from os import path\n", - "import os\n", - "from toolz import juxt, compose\n", - "import pandas as pd\n", - "from glob import iglob\n", - "from itertools import chain" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_dir = path.join(os.getenv('AZ_BATCHAI_INPUT_DATASET'), 'imagenet')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data = loadmat(path.join(data_dir, 'ILSVRC2012_devkit_t12', 'data', 'meta.mat'))" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def _index_from(synset):\n", - " return synset[0][0][0][0]\n", - "\n", - "def _wnid_from(synset):\n", - " return str(synset[0][1][0])\n", - "\n", - "def _name_from(synset):\n", - " return str(synset[0][2][0])" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def _extract_from(synset):\n", - " extract = juxt(_index_from, _wnid_from, _name_from)\n", - " return extract(synset)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "label_list = list(map(_extract_from, data['synsets']))" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "df = pd.DataFrame(label_list, columns=('num_index', 'wnid', 'label')).set_index('num_index')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "train_dir=path.join(data_dir,'train')" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def _extract_to_directory(wnid):\n", - " out_dir = path.join(train_dir, wnid)\n", - " tar_file = path.join(train_dir, '{}.tar'.format(wnid))\n", - " print(out_dir)\n", - " !mkdir -p $out_dir\n", - " !tar -C $out_dir -xf $tar_file" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "filenames = [iglob(path.join(train_dir, wnid, '*.*')) for wnid in df.loc[1:1000]['wnid'].tolist()]" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "ff = list(chain(*filenames))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df = pd.DataFrame({'filenames':ff})" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "index_to_wnid_dict = df.loc[1:1000]['wnid'].to_dict()" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "wnid_labels = [path.split(name)[-1].split('_')[0] for name in ff]" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df = data_df.assign(wnid=wnid_labels)" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df = data_df.assign(num_id=data_df['wnid'].replace(to_replace=list(index_to_wnid_dict.values()), \n", - " value=list(index_to_wnid_dict.keys())))" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "extract_wnid_dir = compose(path.basename, path.dirname)" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "convert_filename = lambda x: path.join(extract_wnid_dir(x), path.basename(x))" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df=data_df.assign(filenames=data_df['filenames'].apply(convert_filename))" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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"cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [default]", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/UploadData.ipynb b/_tmp/UploadData.ipynb deleted file mode 100644 index 60fc236..0000000 --- a/_tmp/UploadData.ipynb +++ /dev/null @@ -1,777 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import json" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "GROUP_NAME='datasharerg'\n", - "LOCATION='eastus'\n", - "STORAGE_ACCOUNT_NAME='datasharesa'\n", - "CONTAINER_NAME='imagenet'" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "Location Name\n", - "---------- -----------\n", - "eastus datasharerg\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account datasharesa provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join(json_data))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --name $CONTAINER_NAME --account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:43:38][WARNING] The command line \"--source \"/mnt/imagenet/train.tar.gz\" --destination \"https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz\" --dest-key ******\" in the journal file \"/home/mat/Microsoft/Azure/AzCopy/AzCopy.jnl\" is different from your input.\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:43:40][WARNING] Incomplete operation with different command line detected at the journal directory \"/home/mat/Microsoft/Azure/AzCopy\".\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4 MB; Average Speed:294.83 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 176 MB; Average Speed:11.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 340 MB; Average Speed:18.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 576 MB; Average Speed:28.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 968 MB; Average Speed:43.81 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.504 GB; Average Speed:140.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.848 GB; Average Speed:140.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.152 GB; Average Speed:140.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.648 GB; Average Speed:141.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.023 GB; Average Speed:141.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.43 GB; Average Speed:141.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.883 GB; Average Speed:142.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.539 GB; Average Speed:143.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.543 GB; Average Speed:142.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.074 GB; Average Speed:143.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.246 GB; Average Speed:143.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.539 GB; Average Speed:143.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.938 GB; Average Speed:143.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.227 GB; Average Speed:143.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.633 GB; Average Speed:143.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.074 GB; Average Speed:144.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.316 GB; Average Speed:144.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.793 GB; Average Speed:144.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.117 GB; Average Speed:144.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.469 GB; Average Speed:144.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.559 GB; Average Speed:144.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.984 GB; Average Speed:144.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.234 GB; Average Speed:144.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.652 GB; Average Speed:144.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.676 GB; Average Speed:144.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.922 GB; Average Speed:144.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.422 GB; Average Speed:144.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.793 GB; Average Speed:144.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.867 GB; Average Speed:144.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.418 GB; Average Speed:145.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.469 GB; Average Speed:144.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.902 GB; Average Speed:144.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.258 GB; Average Speed:144.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.781 GB; Average Speed:145.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.918 GB; Average Speed:145.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.344 GB; Average Speed:145.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.422 GB; Average Speed:144.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.98 GB; Average Speed:145.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.398 GB; Average Speed:145.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.867 GB; Average Speed:146.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.117 GB; Average Speed:146.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.699 GB; Average Speed:147.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.117 GB; Average Speed:147.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.152 GB; Average Speed:146.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.648 GB; Average Speed:147.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.746 GB; Average Speed:146.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.18 GB; Average Speed:147.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.461 GB; Average Speed:147.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.953 GB; Average Speed:147.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61.289 GB; Average Speed:147.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61.582 GB; Average Speed:147.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.074 GB; Average Speed:148.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.133 GB; Average Speed:147.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.434 GB; Average Speed:147.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.746 GB; Average Speed:147.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.105 GB; Average Speed:147.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.559 GB; Average Speed:148.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.875 GB; Average Speed:148.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.168 GB; Average Speed:148.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.605 GB; Average Speed:148.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.863 GB; Average Speed:148.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.219 GB; Average Speed:148.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.555 GB; Average Speed:148.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.855 GB; Average Speed:148.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.145 GB; Average Speed:148.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.426 GB; Average Speed:148.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.863 GB; Average Speed:148.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.188 GB; Average Speed:148.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.316 GB; Average Speed:148.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.684 GB; Average Speed:148.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.977 GB; Average Speed:148.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.313 GB; Average Speed:148.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.516 GB; Average Speed:148.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.922 GB; Average Speed:148.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.281 GB; Average Speed:148.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.293 GB; Average Speed:148.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.578 GB; Average Speed:148.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.949 GB; Average Speed:148.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.141 GB; Average Speed:148.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.195 GB; Average Speed:147.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.785 GB; Average Speed:148.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.957 GB; Average Speed:148.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.395 GB; Average Speed:148.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.797 GB; Average Speed:148.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.145 GB; Average Speed:148.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.551 GB; Average Speed:148.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.555 GB; Average Speed:148.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.988 GB; Average Speed:148.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.336 GB; Average Speed:148.49 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.895 GB; Average Speed:149.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.051 GB; Average Speed:148.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.426 GB; Average Speed:148.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.746 GB; Average Speed:148.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.875 GB; Average Speed:148.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.414 GB; Average Speed:149.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.813 GB; Average Speed:149.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.227 GB; Average Speed:149.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.637 GB; Average Speed:149.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77 GB; Average Speed:149.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.359 GB; Average Speed:149.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.578 GB; Average Speed:149.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.094 GB; Average Speed:150.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.246 GB; Average Speed:149.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.844 GB; Average Speed:150.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.098 GB; Average Speed:150.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.422 GB; Average Speed:150.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.855 GB; Average Speed:150.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.953 GB; Average Speed:150.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.52 GB; Average Speed:150.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.84 GB; Average Speed:150.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.445 GB; Average Speed:151.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.727 GB; Average Speed:151.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.098 GB; Average Speed:151.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.469 GB; Average Speed:151.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.906 GB; Average Speed:151.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.43 GB; Average Speed:152.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.863 GB; Average Speed:152.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.242 GB; Average Speed:152.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.246 GB; Average Speed:152.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.688 GB; Average Speed:152.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.082 GB; Average Speed:152.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.441 GB; Average Speed:152.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.992 GB; Average Speed:152.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86 GB; Average Speed:152.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.453 GB; Average Speed:152.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.797 GB; Average Speed:152.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.207 GB; Average Speed:152.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.609 GB; Average Speed:153.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.926 GB; Average Speed:153.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.141 GB; Average Speed:152.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.727 GB; Average Speed:153.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.016 GB; Average Speed:153.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.484 GB; Average Speed:153.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.57 GB; Average Speed:153.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.164 GB; Average Speed:153.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.629 GB; Average Speed:154.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.77 GB; Average Speed:153.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.145 GB; Average Speed:153.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.492 GB; Average Speed:154 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.938 GB; Average Speed:154.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.297 GB; Average Speed:154.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.582 GB; Average Speed:154.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.879 GB; Average Speed:154.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.27 GB; Average Speed:154.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.602 GB; Average Speed:154.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.801 GB; Average Speed:154.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.191 GB; Average Speed:154.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.477 GB; Average Speed:154.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.859 GB; Average Speed:154.47 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.32 GB; Average Speed:154.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.453 GB; Average Speed:154.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.957 GB; Average Speed:154.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.238 GB; Average Speed:154.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.727 GB; Average Speed:154.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97 GB; Average Speed:154.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.172 GB; Average Speed:154.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.598 GB; Average Speed:154.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.91 GB; Average Speed:154.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.25 GB; Average Speed:154.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.652 GB; Average Speed:155.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.023 GB; Average Speed:155.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.027 GB; Average Speed:154.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.652 GB; Average Speed:155.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.113 GB; Average Speed:155.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.262 GB; Average Speed:155.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.559 GB; Average Speed:155.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.047 GB; Average Speed:155.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.391 GB; Average Speed:155.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.793 GB; Average Speed:155.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.234 GB; Average Speed:155.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.734 GB; Average Speed:156.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.07 GB; Average Speed:156.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.434 GB; Average Speed:156.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.863 GB; Average Speed:156.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.379 GB; Average Speed:156.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.934 GB; Average Speed:157.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.297 GB; Average Speed:157.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.648 GB; Average Speed:157.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.93 GB; Average Speed:157.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 106.406 GB; Average Speed:157.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 106.445 GB; Average Speed:156.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 106.914 GB; Average Speed:157.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.25 GB; Average Speed:157.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.543 GB; Average Speed:157.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.98 GB; Average Speed:157.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.984 GB; Average Speed:156.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 108.371 GB; Average Speed:157.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 108.441 GB; Average Speed:156.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 108.918 GB; Average Speed:156.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 109.23 GB; Average Speed:156.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 109.656 GB; Average Speed:157.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 109.941 GB; Average Speed:157.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 110.215 GB; Average Speed:156.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 110.688 GB; Average Speed:157.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 110.996 GB; Average Speed:157.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 111.348 GB; Average Speed:157.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 111.938 GB; Average Speed:157.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 112.016 GB; Average Speed:157.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 112.383 GB; Average Speed:157.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 112.961 GB; Average Speed:157.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 113.391 GB; Average Speed:157.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 113.609 GB; Average Speed:157.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 113.918 GB; Average Speed:157.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 114.309 GB; Average Speed:157.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 114.82 GB; Average Speed:158.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.133 GB; Average Speed:158.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.551 GB; Average Speed:158.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.609 GB; Average Speed:157.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.895 GB; Average Speed:157.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 116.207 GB; Average Speed:157.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 116.563 GB; Average Speed:157.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 116.73 GB; Average Speed:157.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 117.133 GB; Average Speed:157.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 117.508 GB; Average Speed:157.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 117.914 GB; Average Speed:158.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 117.992 GB; Average Speed:157.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 118.441 GB; Average Speed:157.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 118.535 GB; Average Speed:157.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 118.867 GB; Average Speed:157.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 119.363 GB; Average Speed:157.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 119.582 GB; Average Speed:157.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 119.832 GB; Average Speed:157.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 120.164 GB; Average Speed:157.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 120.535 GB; Average Speed:157.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 120.914 GB; Average Speed:157.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 121.305 GB; Average Speed:157.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 121.309 GB; Average Speed:157.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 121.688 GB; Average Speed:157.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 122.027 GB; Average Speed:157.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 122.402 GB; Average Speed:157.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 122.762 GB; Average Speed:157.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 122.957 GB; Average Speed:157.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 123.398 GB; Average Speed:157.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 123.766 GB; Average Speed:157.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 123.797 GB; Average Speed:157.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 124.258 GB; Average Speed:157.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 124.645 GB; Average Speed:157.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 125.105 GB; Average Speed:157.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 125.344 GB; Average Speed:157.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 125.805 GB; Average Speed:158.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 126.207 GB; Average Speed:158.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 126.242 GB; Average Speed:157.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 126.574 GB; Average Speed:157.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 127.066 GB; Average Speed:158.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 127.566 GB; Average Speed:158.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 127.727 GB; Average Speed:158.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128.09 GB; Average Speed:158.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128.547 GB; Average Speed:158.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128.91 GB; Average Speed:158.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 129.398 GB; Average Speed:158.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 129.457 GB; Average Speed:158.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.117 GB; Average Speed:158.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.387 GB; Average Speed:158.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.684 GB; Average Speed:158.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.781 GB; Average Speed:158.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 131.125 GB; Average Speed:158.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 131.523 GB; Average Speed:158.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 131.527 GB; Average Speed:158.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 131.836 GB; Average Speed:158.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 132.16 GB; Average Speed:158.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 132.617 GB; Average Speed:158.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 133.043 GB; Average Speed:158.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 133.387 GB; Average Speed:158.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 133.734 GB; Average Speed:158.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 133.922 GB; Average Speed:158.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 134.281 GB; Average Speed:158.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 134.586 GB; Average Speed:158.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 134.875 GB; Average Speed:158.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 135.301 GB; Average Speed:158.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 135.753 GB; Average Speed:158.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 135.753 GB; Average Speed:157.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:58:26] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:14:48\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/train.tar.gz \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4 MB; Average Speed:423.95 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.739 MB; Average Speed:5.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 62.739 MB; Average Speed:4.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:59:27] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:18\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/train.csv \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; 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\u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:00:25] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:53\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/validation.tar.gz \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.844 MB; Average Speed:207.39 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 1.844 MB; Average Speed:169.18 KB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:01:02] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:15\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/validation.csv \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train')" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.28 KB; Average Speed:4.26 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1622 file(s), 189.129 MB; Average Speed:15.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 3032 file(s), 336.938 MB; Average Speed:24.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 4579 file(s), 541.24 MB; 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Average Speed:81.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 434704 file(s), 46.942 GB; Average Speed:81.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 436496 file(s), 47.14 GB; Average Speed:81.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 437752 file(s), 47.288 GB; Average Speed:81.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 439479 file(s), 47.48 GB; Average Speed:81.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 440851 file(s), 47.677 GB; Average Speed:81.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 441650 file(s), 47.805 GB; Average Speed:81.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 443575 file(s), 48.018 GB; Average Speed:81.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 445398 file(s), 48.147 GB; Average Speed:81.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 447310 file(s), 48.352 GB; Average Speed:81.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 448802 file(s), 48.508 GB; Average Speed:81.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 450489 file(s), 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- }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished: 960838 file(s), 102.541 GB; Average Speed:82.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 962665 file(s), 102.794 GB; Average Speed:82.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 964336 file(s), 102.958 GB; Average Speed:82.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 965861 file(s), 103.1 GB; Average Speed:82.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 967458 file(s), 103.27 GB; Average Speed:82.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 968846 file(s), 103.429 GB; Average Speed:82.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 969869 file(s), 103.53 GB; Average Speed:82.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 971511 file(s), 103.657 GB; Average Speed:82.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 973136 file(s), 103.845 GB; Average Speed:82.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 974775 file(s), 104.049 GB; Average Speed:82.73 MB/s. 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Average Speed:83.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1093997 file(s), 117.144 GB; Average Speed:83.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1095921 file(s), 117.353 GB; Average Speed:83.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1097592 file(s), 117.506 GB; Average Speed:83.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1099010 file(s), 117.673 GB; Average Speed:83.12 MB/s. \u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 1100364 file(s), 117.862 GB; Average Speed:83.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1102185 file(s), 118.043 GB; Average Speed:83.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1103937 file(s), 118.181 GB; Average Speed:83.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1105413 file(s), 118.339 GB; Average Speed:83.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1106893 file(s), 118.514 GB; Average Speed:83.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1108517 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Speed:83.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1243331 file(s), 132.896 GB; Average Speed:83.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1245074 file(s), 133.066 GB; Average Speed:83.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1246596 file(s), 133.184 GB; Average Speed:83.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1248089 file(s), 133.259 GB; Average Speed:83.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1249258 file(s), 133.352 GB; Average Speed:83.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1250835 file(s), 133.534 GB; Average Speed:83.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1252455 file(s), 133.729 GB; Average Speed:83.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1253962 file(s), 133.913 GB; Average Speed:83.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1255718 file(s), 134.067 GB; Average Speed:83.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1257373 file(s), 134.258 GB; Average Speed:83.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 1276251 file(s), 136.323 GB; Average Speed:83.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1277902 file(s), 136.511 GB; Average Speed:83.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1279439 file(s), 136.644 GB; Average Speed:83.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1281167 file(s), 136.819 GB; Average Speed:83.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1281167 of total 1281167 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/21 11:57:46] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1281167\n", - "Transfer successfully: 1281167\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:28:07\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/train \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet --recursive" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation')" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.602 KB; Average Speed:1.56 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1633 file(s), 203.104 MB; Average Speed:16.88 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 2603 file(s), 327.052 MB; Average Speed:23.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 4497 file(s), 572.907 MB; Average 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"outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n validation.csv --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n validation.tar.gz --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n train.csv --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=rw&sv=2017-04-17&sr=b&sig=ZvNReeGrtDS28Cs/0P08tzFMsmDa3mq5dBRnQPc35DM%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n train.tar.gz --permission rw --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=b1TyqISUPFbth6YhJNKtSgww8dhhM9jUpu7rsORmH2o%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n train --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n validation --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r\n", - "Command\r\n", - " az storage container generate-sas: Generates a shared access signature for the container.\r\n", - " Use the returned signature with the sas_token parameter of any BlobService.\r\n", - "\r\n", - "Arguments\r\n", - " --name -n [Required]: The container name.\r\n", - " --cache-control : Response header value for Cache-Control when resource is accessed using\r\n", - " this shared access signature.\r\n", - " --content-disposition: Response header value for Content-Disposition when resource is accessed\r\n", - " using this shared access signature.\r\n", - " --content-encoding : Response header value for Content-Encoding when resource is accessed\r\n", - " using this shared access signature.\r\n", - " --content-language : Response header value for Content-Language when resource is accessed\r\n", - " using this shared access signature.\r\n", - " --content-type : Response header value for Content-Type when resource is accessed using\r\n", - " this shared access signature.\r\n", - " --expiry : Specifies the UTC datetime (Y-m-d'T'H:M'Z') at which the SAS becomes\r\n", - " invalid. Do not use if a stored access policy is referenced with --id\r\n", - " that specifies this value.\r\n", - " --https-only : Only permit requests made with the HTTPS protocol. If omitted, requests\r\n", - " from both the HTTP and HTTPS protocol are permitted.\r\n", - " --ip : Specifies the IP address or range of IP addresses from which to accept\r\n", - " requests. Supports only IPv4 style addresses.\r\n", - " --permissions : The permissions the SAS grants. Allowed values: (d)elete (l)ist (r)ead\r\n", - " (w)rite. Do not use if a stored access policy is referenced with --id\r\n", - " that specifies this value. Can be combined.\r\n", - " --policy-name : The name of a stored access policy within the container's ACL.\r\n", - " --start : Specifies the UTC datetime (Y-m-d'T'H:M'Z') at which the SAS becomes\r\n", - " valid. Do not use if a stored access policy is referenced with --id that\r\n", - " specifies this value. Defaults to the time of the request.\r\n", - "\r\n", - "Storage Account Arguments\r\n", - " --account-key : Storage account key. Must be used in conjunction with storage account\r\n", - " name. Environment variable: AZURE_STORAGE_KEY.\r\n", - " --account-name : Storage account name. Related environment variable:\r\n", - " AZURE_STORAGE_ACCOUNT. Must be used in conjunction with either storage\r\n", - " account key or a SAS token. If neither are present, the command will try\r\n", - " to query the storage account key using the authenticated Azure account.\r\n", - " If a large number of storage commands are executed the API quota may be\r\n", - " hit.\r\n", - " --connection-string : Storage account connection string. Environment variable:\r\n", - " AZURE_STORAGE_CONNECTION_STRING.\r\n", - " --sas-token : A Shared Access Signature (SAS). Must be used in conjunction with storage\r\n", - " account name. Environment variable: AZURE_STORAGE_SAS_TOKEN.\r\n", - "\r\n", - "Global Arguments\r\n", - " --debug : Increase logging verbosity to show all debug logs.\r\n", - " --help -h : Show this help message and exit.\r\n", - " --output -o : Output format. Allowed values: json, jsonc, table, tsv. Default: json.\r\n", - " --query : JMESPath query string. See http://jmespath.org/ for more information and\r\n", - " examples.\r\n", - " --verbose : Increase logging verbosity. Use --debug for full debug logs.\r\n" - ] - } - ], - "source": [ - "!az storage container generate-sas --help" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=rl&sv=2017-04-17&sr=c&sig=AHbrRTNs7%2B%2BFi3rL%2BHs%2BbYjXDZLPWiXgWQwuhwmEo0A%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage container generate-sas -n $CONTAINER_NAME --expiry 2025-1-1 --permissions lr \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'datasharesa'" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'imagenet'" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "ename": "SyntaxError", - "evalue": "invalid syntax (, line 1)", - "output_type": "error", - "traceback": [ - "\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m https://datasharesa.blob.core.windows.net/imagenet?restype=container&comp=list&se=2025-01-01&sp=rl&sv=2017-04-17&sr=c&sig=AHbrRTNs7%2B%2BFi3rL%2BHs%2BbYjXDZLPWiXgWQwuhwmEo0A%3D\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" - ] - } - ], - "source": [ - "https://datasharesa.blob.core.windows.net/imagenet?restype=container&comp=list&se=2025-01-01&sp=rl&sv=2017-04-17&sr=c&sig=AHbrRTNs7%2B%2BFi3rL%2BHs%2BbYjXDZLPWiXgWQwuhwmEo0A%3D" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "https://datasharesa.blob.core.windows.net/imagenet/train.csv?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:py35]", - "language": "python", - "name": "conda-env-py35-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control/HorovodImagenetBatchAI-Blob.ipynb b/_tmp/control/HorovodImagenetBatchAI-Blob.ipynb deleted file mode 100644 index 7a33b65..0000000 --- a/_tmp/control/HorovodImagenetBatchAI-Blob.ipynb +++ /dev/null @@ -1,3269 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mTo sign in, use a web browser to open the page https://microsoft.com/devicelogin and enter the code BSHR6F4TQ to authenticate.\u001b[0m\n", - "CloudName Name State TenantId IsDefault\n", - "----------- ----------------------------- ------- ------------------------------------ -----------\n", - "AzureCloud Boston DS Dev Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Azure Internal - London Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Danielle Internal Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47 True\n", - "AzureCloud Visual Studio Enterprise Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Boston Engineering Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ADLTrainingMS Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud UST Container Registration Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyExt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Ads Eng Big Data Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling Preview Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling development Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud AzureML Client PROD Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud R portal - Production Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyInt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Project Vienna Demo 1 Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ASutton Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Solution Template Testing Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Ilan Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Marketing Automation Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n" - ] - } - ], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.24)\r\n", - "\r\n", - "acr (2.0.18)\r\n", - "acs (2.0.23)\r\n", - "advisor (0.1.1)\r\n", - "appservice (0.1.23)\r\n", - "backup (1.0.4)\r\n", - "batch (3.1.8)\r\n", - "batchai (0.1.4)\r\n", - "billing (0.1.7)\r\n", - "cdn (0.0.11)\r\n", - "cloud (2.0.11)\r\n", - "cognitiveservices (0.1.10)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.13)\r\n", - "consumption (0.2.1)\r\n", - "container (0.1.16)\r\n", - "core (2.0.24)\r\n", - "cosmosdb (0.1.16)\r\n", - "dla (0.0.16)\r\n", - "dls (0.0.19)\r\n", - "eventgrid (0.1.7)\r\n", - "extension (0.0.7)\r\n", - "feedback (2.0.7)\r\n", - "find (0.2.8)\r\n", - "interactive (0.3.12)\r\n", - "iot (0.1.16)\r\n", - "keyvault (2.0.16)\r\n", - "lab (0.0.14)\r\n", - "monitor (0.0.14)\r\n", - "network (2.0.20)\r\n", - "nspkg (3.0.1)\r\n", - "profile (2.0.17)\r\n", - "rdbms (0.0.10)\r\n", - "redis (0.2.11)\r\n", - "reservations (0.1.1)\r\n", - "resource (2.0.20)\r\n", - "role (2.0.16)\r\n", - "servicefabric (0.0.8)\r\n", - "sql (2.0.18)\r\n", - "storage (2.0.22)\r\n", - "vm (2.0.23)\r\n", - "\r\n", - "Extensions:\r\n", - "azure-cli-machinelearning (0.0.97)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/mat/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Jan 5 2018, 21:18:08) \r\n", - "[GCC 4.8.4]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch{uuid}share\".format(uuid=short_uuid)\n", - "NFS_NAME=\"batch{uuid}nfs\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location Name\r\n", - "---------- ---------------\r\n", - "eastus batchfcab5890rg\r\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batchfcab5890st provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join([i for i in json_data if 'WARNING' not in i]))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 88, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batchfcab5890st\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=qTUeM/dh+vIhiKcrYx3EkvJKEOACztR2D7GAxE/5bRXnkxdU1T3e1JyYmbL4Rr43AMt6NMYW3OXPrg0iiyLk1g==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation')" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average 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"Finished: 45128 file(s), 5.63 GB; Average Speed:10.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 45329 file(s), 5.654 GB; Average Speed:10.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 45504 file(s), 5.677 GB; Average Speed:10.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 45719 file(s), 5.702 GB; Average Speed:10.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 45898 file(s), 5.724 GB; Average Speed:10.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 46074 file(s), 5.748 GB; Average Speed:10.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 46262 file(s), 5.772 GB; Average Speed:10.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 46432 file(s), 5.792 GB; Average Speed:10.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 46628 file(s), 5.82 GB; Average Speed:10.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 46831 file(s), 5.845 GB; Average Speed:10.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 46977 file(s), 5.869 GB; Average Speed:10.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 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file(s), 6.154 GB; Average Speed:10.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49422 file(s), 6.175 GB; Average Speed:10.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49645 file(s), 6.201 GB; Average Speed:10.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49832 file(s), 6.224 GB; Average Speed:10.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49999 file(s), 6.246 GB; Average Speed:10.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49999 file(s), 6.246 GB; Average Speed:10.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 50000 file(s), 6.246 GB; Average Speed:10.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 50000 of total 50000 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/12 21:30:14] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 50000\n", - "Transfer successfully: 50000\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:10:11\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet --recursive " - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train')" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average 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"Finished: 41653 file(s), 4.672 GB; Average Speed:8.49 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 41855 file(s), 4.692 GB; Average Speed:8.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 42081 file(s), 4.715 GB; Average Speed:8.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 42310 file(s), 4.734 GB; Average Speed:8.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 42492 file(s), 4.754 GB; Average Speed:8.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 42711 file(s), 4.775 GB; Average Speed:8.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 42897 file(s), 4.795 GB; Average Speed:8.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 43078 file(s), 4.816 GB; Average Speed:8.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 43187 file(s), 4.83 GB; Average Speed:8.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 43335 file(s), 4.845 GB; Average Speed:8.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 43474 file(s), 4.867 GB; Average Speed:8.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 43650 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 167361 file(s), 18.669 GB; Average Speed:3.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 167551 file(s), 18.691 GB; Average Speed:3.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 167743 file(s), 18.71 GB; Average Speed:3.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 167868 file(s), 18.723 GB; Average Speed:3.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 168059 file(s), 18.742 GB; Average Speed:3.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 168274 file(s), 18.763 GB; Average Speed:3.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 168451 file(s), 18.78 GB; Average Speed:3.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 168657 file(s), 18.798 GB; Average Speed:3.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 168810 file(s), 18.815 GB; Average Speed:3.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 168967 file(s), 18.834 GB; Average Speed:3.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 169108 file(s), 18.853 GB; Average Speed:3.12 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 252356 file(s), 28.638 GB; Average Speed:4.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 252363 file(s), 28.641 GB; Average Speed:4.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 252586 file(s), 28.665 GB; Average Speed:4.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 252796 file(s), 28.69 GB; Average Speed:4.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 252959 file(s), 28.71 GB; Average Speed:4.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 253165 file(s), 28.735 GB; Average Speed:4.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 253359 file(s), 28.758 GB; Average Speed:4.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 253520 file(s), 28.776 GB; Average Speed:4.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 253712 file(s), 28.798 GB; Average Speed:4.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 253935 file(s), 28.823 GB; Average Speed:4.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 254099 file(s), 28.844 GB; Average Speed:4.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 254278 file(s), 28.864 GB; Average Speed:4.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 254394 file(s), 28.878 GB; Average Speed:4.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 254616 file(s), 28.905 GB; Average Speed:4.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 254811 file(s), 28.926 GB; Average Speed:4.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 254975 file(s), 28.946 GB; Average Speed:4.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 255159 file(s), 28.968 GB; Average Speed:4.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 255246 file(s), 28.981 GB; Average Speed:4.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 255461 file(s), 29.011 GB; Average Speed:4.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 255585 file(s), 29.031 GB; Average Speed:4.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 255764 file(s), 29.056 GB; Average Speed:4.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 255903 file(s), 29.078 GB; Average Speed:4.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 256051 file(s), 29.099 GB; Average Speed:4.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 256204 file(s), 29.125 GB; Average Speed:4.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 256366 file(s), 29.149 GB; Average Speed:4.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 256545 file(s), 29.168 GB; Average Speed:4.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 256736 file(s), 29.189 GB; Average Speed:4.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 256916 file(s), 29.208 GB; Average Speed:4.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 257157 file(s), 29.234 GB; Average Speed:4.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished: 257375 file(s), 29.257 GB; Average Speed:4.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 257511 file(s), 29.272 GB; Average Speed:4.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 257678 file(s), 29.29 GB; Average Speed:4.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 257811 file(s), 29.306 GB; Average Speed:4.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 258010 file(s), 29.323 GB; Average Speed:4.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 258224 file(s), 29.345 GB; Average Speed:4.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 258412 file(s), 29.364 GB; Average Speed:4.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 258586 file(s), 29.38 GB; Average Speed:4.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 258777 file(s), 29.4 GB; Average Speed:4.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 258972 file(s), 29.417 GB; Average Speed:4.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 259130 file(s), 29.437 GB; Average Speed:4.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 259302 file(s), 29.457 GB; Average Speed:4.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 259412 file(s), 29.47 GB; Average Speed:4.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 259578 file(s), 29.491 GB; Average Speed:4.15 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 261810 file(s), 29.758 GB; Average Speed:4.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 261971 file(s), 29.779 GB; Average Speed:4.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 262181 file(s), 29.803 GB; Average Speed:4.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 262342 file(s), 29.823 GB; Average Speed:4.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 262525 file(s), 29.844 GB; Average Speed:4.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 262685 file(s), 29.866 GB; Average Speed:4.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 262847 file(s), 29.884 GB; Average Speed:4.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 263060 file(s), 29.906 GB; Average Speed:4.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 263192 file(s), 29.927 GB; Average Speed:4.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 263345 file(s), 29.946 GB; Average Speed:4.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 263520 file(s), 29.967 GB; Average Speed:4.19 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 267049 file(s), 30.492 GB; Average Speed:4.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 267280 file(s), 30.514 GB; Average Speed:4.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 267497 file(s), 30.533 GB; Average Speed:4.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 267642 file(s), 30.553 GB; Average Speed:4.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 267814 file(s), 30.572 GB; Average Speed:4.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 268033 file(s), 30.595 GB; Average Speed:4.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 268234 file(s), 30.619 GB; Average Speed:4.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 268361 file(s), 30.637 GB; Average Speed:4.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 268465 file(s), 30.655 GB; Average Speed:4.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 268643 file(s), 30.681 GB; Average Speed:4.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 268827 file(s), 30.703 GB; Average Speed:4.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 268995 file(s), 30.726 GB; Average Speed:4.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269147 file(s), 30.748 GB; Average Speed:4.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269276 file(s), 30.773 GB; Average Speed:4.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269444 file(s), 30.795 GB; Average Speed:4.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269512 file(s), 30.803 GB; Average Speed:4.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269680 file(s), 30.825 GB; Average Speed:4.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 269797 file(s), 30.842 GB; Average Speed:4.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270040 file(s), 30.866 GB; Average Speed:4.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270170 file(s), 30.886 GB; Average Speed:4.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270275 file(s), 30.9 GB; Average Speed:4.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270481 file(s), 30.93 GB; Average Speed:4.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270682 file(s), 30.956 GB; Average Speed:4.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 270879 file(s), 30.981 GB; Average Speed:4.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 271153 file(s), 31.005 GB; Average Speed:4.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 271398 file(s), 31.029 GB; Average Speed:4.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 271610 file(s), 31.053 GB; Average Speed:4.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 271840 file(s), 31.076 GB; Average Speed:4.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 272006 file(s), 31.097 GB; Average Speed:4.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 272202 file(s), 31.124 GB; Average Speed:4.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 272370 file(s), 31.148 GB; Average Speed:4.29 MB/s. \u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 272535 file(s), 31.172 GB; Average Speed:4.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 272738 file(s), 31.197 GB; Average Speed:4.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 272883 file(s), 31.217 GB; Average Speed:4.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 273019 file(s), 31.236 GB; Average Speed:4.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 273170 file(s), 31.259 GB; Average Speed:4.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 273311 file(s), 31.276 GB; Average Speed:4.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 273521 file(s), 31.297 GB; Average Speed:4.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 273723 file(s), 31.322 GB; Average Speed:4.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 273908 file(s), 31.34 GB; Average Speed:4.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 274136 file(s), 31.365 GB; Average Speed:4.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 274302 file(s), 31.388 GB; Average Speed:4.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 274487 file(s), 31.408 GB; Average Speed:4.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 274693 file(s), 31.43 GB; Average Speed:4.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 274944 file(s), 31.453 GB; Average Speed:4.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 275194 file(s), 31.475 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 275415 file(s), 31.495 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 275637 file(s), 31.516 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 275863 file(s), 31.539 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 275927 file(s), 31.545 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 275928 file(s), 31.545 GB; Average Speed:4.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 275928 of total 275928 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/13 15:49:59] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 275928\n", - "Transfer successfully: 275928\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.02:04:43\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet --recursive --exclude-older" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1H[2018/05/13 11:24:55][WARNING] The command line \"--source \"https://datasharesa.blob.core.windows.net/imagenet/train\" --destination \"https://batchfcab5890st.blob.core.windows.net/batchfcab5890container/train\" --recursive --source-key ****** --dest-key ****** --quiet\" in the journal file \"/home/mat/Microsoft/Azure/AzCopy/AzCopy.jnl\" is different from your input.\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/13 11:24:57][WARNING] Incomplete operation with different command line detected at the journal directory \"/home/mat/Microsoft/Azure/AzCopy\".\n", - "\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.739 MB; Average Speed:849.7 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 62.739 MB; Average Speed:827.31 KB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/13 11:26:17] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:01:21\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.844 MB; Average Speed:185.76 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 1.844 MB; Average Speed:154.58 KB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/13 11:26:38] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:16\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetEstimatorHorovod.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/timer.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-05-13T18:07:13.327000+00:00\",\n", - " \"creationTime\": \"2018-05-13T18:07:13.327000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"containerName\": \"batchfcab5890container\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-13T18:07:14.062000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 10\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24RS_V3\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24rs_v3 \\\n", - "--min 10 --max 10 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--container-name $CONTAINER_NAME \\\n", - "--container-mount-path extcn \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key " - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "{\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-05-13T18:07:13.327000+00:00\",\n", - " \"creationTime\": \"2018-05-13T18:07:13.327000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"containerName\": \"batchfcab5890container\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-13T18:07:14.062000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 10\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24RS_V3\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\n", - "------ ---------------- ------------------ ------- ------ --------- ----------- --------- ----------\n", - "nc24r batchfcab5890rg STANDARD_NC24RS_V3 steady 6 0 0 0 0\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "ID IP Port\n", - "-------------------------------- ------------- ------\n", - "tvm-676767296_1-20180513t180858z 23.100.25.156 50005\n", - "tvm-676767296_2-20180513t180858z 23.100.25.156 50001\n", - "tvm-676767296_3-20180513t180858z 23.100.25.156 50002\n", - "tvm-676767296_4-20180513t180858z 23.100.25.156 50003\n", - "tvm-676767296_5-20180513t180858z 23.100.25.156 50004\n", - "tvm-676767296_6-20180513t180858z 23.100.25.156 50000\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 97, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2017-09-01-preview/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 6,\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; \\\n", - " echo $AZ_BATCH_HOST_LIST; \\\n", - " ls $AZ_BATCHAI_INPUT_TRAIN;\\\n", - " mpirun -n 24 -ppn 4 -hosts $AZ_BATCH_HOST_LIST \\\n", - " -env I_MPI_FABRICS=dapl \\\n", - " -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 \\\n", - " -env I_MPI_DYNAMIC_CONNECTION=0 \\\n", - " -env DISTRIBUTED=True \\\n", - " -genvall \\\n", - " python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorHorovod.py\"\n", - " },\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"masalvar/horovod-intel\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"cntkSettings\": null,\n", - " \"constraints\": {\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"credentials\": null,\n", - " \"image\": \"masalvar/horovod-intel\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-05-13T18:31:25.952000+00:00\",\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; echo $AZ_BATCH_HOST_LIST; ls $AZ_BATCHAI_INPUT_TRAIN; mpirun -n 24 -ppn 4 -hosts $AZ_BATCH_HOST_LIST -env I_MPI_FABRICS=dapl -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 -env I_MPI_DYNAMIC_CONNECTION=0 -env DISTRIBUTED=True -genvall python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorHorovod.py\"\n", - " },\n", - " \"environmentVariables\": null,\n", - " \"executionInfo\": {\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-05-13T18:31:28.426000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-05-13T18:31:28.460000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/jobs/horovod_benchmark\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn\"\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn\"\n", - " }\n", - " ],\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"name\": \"horovod_benchmark\",\n", - " \"nodeCount\": 6,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-13T18:31:27.625000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"custom\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai job create -n horovod_benchmark --cluster-name nc24r -c job.json" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group Cluster Cluster RG Tool Nodes State\n", - "----------------- ---------------- --------- --------------- ------ ------- -------\n", - "horovod_benchmark batchfcab5890rg nc24r batchfcab5890rg custom 6 running\n" - ] - } - ], - "source": [ - " !az batchai job list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "[\n", - " {\n", - " \"contentLength\": 26723,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/execution-tvm-676767296_1-20180513t180858z.log?sv=2016-05-31&sr=f&sig=u%2B1xChlZJdzbqlIwzyAQk%2FcDQaln1L7nXN%2BwAHdlnMw%3D&se=2018-05-13T19%3A41%3A54Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-13T18:33:16+00:00\",\n", - " \"name\": \"execution-tvm-676767296_1-20180513t180858z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 26905,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/execution-tvm-676767296_2-20180513t180858z.log?sv=2016-05-31&sr=f&sig=53ISWn6JIrfxjnRCZSnPMdKCWsNbb1CPUBcxq3CkjWI%3D&se=2018-05-13T19%3A41%3A54Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-13T18:33:10+00:00\",\n", - " \"name\": \"execution-tvm-676767296_2-20180513t180858z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 26772,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/execution-tvm-676767296_3-20180513t180858z.log?sv=2016-05-31&sr=f&sig=BnKkEdZvOD%2Fi8SaM8y%2FX4PEb5irHII9iJoHLalShASI%3D&se=2018-05-13T19%3A41%3A54Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-13T18:33:11+00:00\",\n", - " \"name\": \"execution-tvm-676767296_3-20180513t180858z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 26776,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/execution-tvm-676767296_4-20180513t180858z.log?sv=2016-05-31&sr=f&sig=a8yiJ7yFkth2JommfhwTv7RWtuvS9HbWAbwWj%2BWyElg%3D&se=2018-05-13T19%3A41%3A54Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-13T18:33:15+00:00\",\n", - " \"name\": \"execution-tvm-676767296_4-20180513t180858z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 26322,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/execution-tvm-676767296_5-20180513t180858z.log?sv=2016-05-31&sr=f&sig=moIPCVR1eKkReha5fsgcksL6Ppab79s9%2BJ%2FaLWlE0wA%3D&se=2018-05-13T19%3A41%3A54Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-13T18:33:15+00:00\",\n", - " \"name\": \"execution-tvm-676767296_5-20180513t180858z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 26985,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/execution-tvm-676767296_6-20180513t180858z.log?sv=2016-05-31&sr=f&sig=JbcpNDbXKXahgoFvt6IfrXaOHfVmkLyEi%2B%2B1twTq5DM%3D&se=2018-05-13T19%3A41%3A54Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-13T18:33:17+00:00\",\n", - " \"name\": \"execution-tvm-676767296_6-20180513t180858z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 128228,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/stderr.txt?sv=2016-05-31&sr=f&sig=2%2B%2FmKbU1FPr%2FHI%2F5bzOilA5T4jLKPRAijaYWHgLMlM8%3D&se=2018-05-13T19%3A41%3A54Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-13T18:41:52+00:00\",\n", - " \"name\": \"stderr.txt\"\n", - " },\n", - " {\n", - " \"contentLength\": 96,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/stdout.txt?sv=2016-05-31&sr=f&sig=pKUTY1EG%2FO6xEa46QjLvbCftS7zan1m%2BR%2BJeRPmO%2BI4%3D&se=2018-05-13T19%3A41%3A54Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-13T18:33:17+00:00\",\n", - " \"name\": \"stdout.txt\"\n", - " }\n", - "]\n" - ] - } - ], - "source": [ - "!az batchai job list-files --name horovod_benchmark --output-directory-id stdouterr" - ] - }, - { - "cell_type": "code", - "execution_count": 106, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_tf_random_seed': None, '_task_id': 0, '_global_id_in_cluster': 0, '_save_checkpoints_steps': 10000, '_evaluation_master': '', '_master': '', '_save_summary_steps': 100, '_cluster_spec': , '_num_ps_replicas': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_worker_replicas': 1, '_task_type': 'worker', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_is_chief': True, '_keep_checkpoint_max': 5, '_service': None, '_save_checkpoints_secs': None, '_log_step_count_steps': 100, '_keep_checkpoint_every_n_hours': 10000}\n", - "INFO:tensorflow:Using config: {'_tf_random_seed': None, '_task_id': 0, '_global_id_in_cluster': 0, '_save_checkpoints_steps': 10000, '_evaluation_master': '', '_master': '', '_save_summary_steps': 100, '_cluster_spec': , '_num_ps_replicas': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_worker_replicas': 1, '_task_type': 'worker', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_is_chief': True, '_keep_checkpoint_max': 5, '_service': None, '_save_checkpoints_secs': None, '_log_step_count_steps': 100, '_keep_checkpoint_every_n_hours': 10000}\n", - "INFO:__main__:Rank: 2 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_tf_random_seed': None, '_cluster_spec': , '_num_worker_replicas': 1, '_task_type': 'worker', '_save_summary_steps': 100, '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_evaluation_master': '', '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_service': None, '_master': '', '_is_chief': True, '_task_id': 0}\n", - "INFO:tensorflow:Using config: {'_tf_random_seed': None, '_cluster_spec': , '_num_worker_replicas': 1, '_task_type': 'worker', '_save_summary_steps': 100, '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_evaluation_master': '', '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_service': None, '_master': '', '_is_chief': True, '_task_id': 0}\n", - "INFO:__main__:Rank: 3 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_global_id_in_cluster': 0, '_num_ps_replicas': 0, '_tf_random_seed': None, '_task_id': 0, '_cluster_spec': , '_save_summary_steps': 100, '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_keep_checkpoint_max': 5, '_evaluation_master': '', '_is_chief': True, '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_save_checkpoints_secs': None, '_service': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd'}\n", - "INFO:tensorflow:Using config: {'_global_id_in_cluster': 0, '_num_ps_replicas': 0, '_tf_random_seed': None, '_task_id': 0, '_cluster_spec': , '_save_summary_steps': 100, '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_keep_checkpoint_max': 5, '_evaluation_master': '', '_is_chief': True, '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_save_checkpoints_secs': None, '_service': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd'}\n", - "INFO:__main__:Rank: 0 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_num_ps_replicas': 0, '_cluster_spec': , '_global_id_in_cluster': 0, '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_save_checkpoints_secs': None, '_tf_random_seed': None, '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_every_n_hours': 10000, '_is_chief': True, '_master': '', '_evaluation_master': '', '_service': None, '_task_id': 0}\n", - "INFO:tensorflow:Using config: {'_num_ps_replicas': 0, '_cluster_spec': , '_global_id_in_cluster': 0, '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_save_checkpoints_secs': None, '_tf_random_seed': None, '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_every_n_hours': 10000, '_is_chief': True, '_master': '', '_evaluation_master': '', '_service': None, '_task_id': 0}\n", - "INFO:__main__:Rank: 1 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_log_step_count_steps': 100, '_save_checkpoints_steps': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_service': None, '_tf_random_seed': None, '_is_chief': True, '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_type': 'worker', '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_evaluation_master': '', '_num_worker_replicas': 1, '_task_id': 0, '_save_summary_steps': 100, '_master': ''}\n", - "INFO:tensorflow:Using config: {'_log_step_count_steps': 100, '_save_checkpoints_steps': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_service': None, '_tf_random_seed': None, '_is_chief': True, '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_type': 'worker', '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_evaluation_master': '', '_num_worker_replicas': 1, '_task_id': 0, '_save_summary_steps': 100, '_master': ''}\n", - "INFO:__main__:Rank: 2 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_service': None, '_keep_checkpoint_max': 5, '_evaluation_master': '', '_save_checkpoints_secs': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_num_worker_replicas': 1, '_global_id_in_cluster': 0, '_is_chief': True, '_num_ps_replicas': 0, '_master': '', '_task_type': 'worker', '_save_summary_steps': 100, '_save_checkpoints_steps': 10000, '_cluster_spec': , '_task_id': 0}\n", - "INFO:tensorflow:Using config: {'_service': None, '_keep_checkpoint_max': 5, '_evaluation_master': '', '_save_checkpoints_secs': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_num_worker_replicas': 1, '_global_id_in_cluster': 0, '_is_chief': True, '_num_ps_replicas': 0, '_master': '', '_task_type': 'worker', '_save_summary_steps': 100, '_save_checkpoints_steps': 10000, '_cluster_spec': , '_task_id': 0}\n", - "INFO:__main__:Rank: 3 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_task_type': 'worker', '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_id': 0, '_is_chief': True, '_save_summary_steps': 100, '_global_id_in_cluster': 0, '_keep_checkpoint_max': 5, '_service': None, '_tf_random_seed': None, '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_cluster_spec': , '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_save_checkpoints_secs': None}\n", - "INFO:tensorflow:Using config: {'_task_type': 'worker', '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_id': 0, '_is_chief': True, '_save_summary_steps': 100, '_global_id_in_cluster': 0, '_keep_checkpoint_max': 5, '_service': None, '_tf_random_seed': None, '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_cluster_spec': , '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_save_checkpoints_secs': None}\n", - "INFO:__main__:Rank: 1 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_task_id': 0, '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_steps': 10000, '_log_step_count_steps': 100, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_save_summary_steps': 100, '_cluster_spec': , '_save_checkpoints_secs': None, '_master': '', '_service': None, '_is_chief': True, '_task_type': 'worker', '_num_ps_replicas': 0}\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_task_id': 0, '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_steps': 10000, '_log_step_count_steps': 100, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_save_summary_steps': 100, '_cluster_spec': , '_save_checkpoints_secs': None, '_master': '', '_service': None, '_is_chief': True, '_task_type': 'worker', '_num_ps_replicas': 0}\n", - "INFO:__main__:Rank: 2 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_task_type': 'worker', '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_master': '', '_is_chief': True, '_service': None, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_tf_random_seed': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_task_id': 0, '_evaluation_master': '', '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_num_ps_replicas': 0}\n", - "INFO:tensorflow:Using config: {'_task_type': 'worker', '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_master': '', '_is_chief': True, '_service': None, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_tf_random_seed': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_task_id': 0, '_evaluation_master': '', '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_num_ps_replicas': 0}\n", - "INFO:__main__:Rank: 0 Cluster Size 24\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_steps': 10000, '_evaluation_master': '', '_task_type': 'worker', '_log_step_count_steps': 100, '_is_chief': True, '_num_worker_replicas': 1, '_service': None, '_cluster_spec': , '_tf_random_seed': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_task_id': 0, '_master': '', '_save_summary_steps': 100, '_keep_checkpoint_max': 5}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_steps': 10000, '_evaluation_master': '', '_task_type': 'worker', '_log_step_count_steps': 100, '_is_chief': True, '_num_worker_replicas': 1, '_service': None, '_cluster_spec': , '_tf_random_seed': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_task_id': 0, '_master': '', '_save_summary_steps': 100, '_keep_checkpoint_max': 5}\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_secs': None, '_task_type': 'worker', '_global_id_in_cluster': 0, '_log_step_count_steps': 100, '_cluster_spec': , '_keep_checkpoint_max': 5, '_num_ps_replicas': 0, '_task_id': 0, '_save_checkpoints_steps': 10000, '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_save_summary_steps': 100, '_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_master': '', '_is_chief': True, '_num_worker_replicas': 1}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_secs': None, '_task_type': 'worker', '_global_id_in_cluster': 0, '_log_step_count_steps': 100, '_cluster_spec': , '_keep_checkpoint_max': 5, '_num_ps_replicas': 0, '_task_id': 0, '_save_checkpoints_steps': 10000, '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_save_summary_steps': 100, '_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_master': '', '_is_chief': True, '_num_worker_replicas': 1}\n", - "INFO:__main__:Rank: 0 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_secs': None, '_save_checkpoints_steps': 10000, '_task_type': 'worker', '_is_chief': True, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_global_id_in_cluster': 0, '_tf_random_seed': None, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_keep_checkpoint_every_n_hours': 10000, '_keep_checkpoint_max': 5, '_cluster_spec': , '_save_summary_steps': 100, '_log_step_count_steps': 100, '_evaluation_master': '', '_master': '', '_service': None}\n", - "INFO:tensorflow:Using config: {'_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_secs': None, '_save_checkpoints_steps': 10000, '_task_type': 'worker', '_is_chief': True, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_global_id_in_cluster': 0, '_tf_random_seed': None, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_keep_checkpoint_every_n_hours': 10000, '_keep_checkpoint_max': 5, '_cluster_spec': , '_save_summary_steps': 100, '_log_step_count_steps': 100, '_evaluation_master': '', '_master': '', '_service': None}\n", - "INFO:__main__:Rank: 2 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_secs': None, '_cluster_spec': , '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 10000, '_service': None, '_is_chief': True, '_global_id_in_cluster': 0, '_num_ps_replicas': 0, '_log_step_count_steps': 100, '_task_id': 0, '_keep_checkpoint_every_n_hours': 10000, '_master': '', '_task_type': 'worker', '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_num_worker_replicas': 1}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_secs': None, '_cluster_spec': , '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 10000, '_service': None, '_is_chief': True, '_global_id_in_cluster': 0, '_num_ps_replicas': 0, '_log_step_count_steps': 100, '_task_id': 0, '_keep_checkpoint_every_n_hours': 10000, '_master': '', '_task_type': 'worker', '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_num_worker_replicas': 1}\n", - "INFO:__main__:Rank: 3 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_save_summary_steps': 100, '_tf_random_seed': None, '_save_checkpoints_secs': None, '_global_id_in_cluster': 0, '_service': None, '_log_step_count_steps': 100, '_task_type': 'worker', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_evaluation_master': '', '_is_chief': True, '_master': '', '_cluster_spec': , '_task_id': 0}\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_save_summary_steps': 100, '_tf_random_seed': None, '_save_checkpoints_secs': None, '_global_id_in_cluster': 0, '_service': None, '_log_step_count_steps': 100, '_task_type': 'worker', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_evaluation_master': '', '_is_chief': True, '_master': '', '_cluster_spec': , '_task_id': 0}\n", - "INFO:__main__:Rank: 0 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_save_checkpoints_secs': None, '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_master': '', '_keep_checkpoint_max': 5, '_log_step_count_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_cluster_spec': , '_task_type': 'worker', '_is_chief': True, '_evaluation_master': '', '_global_id_in_cluster': 0, '_save_summary_steps': 100, '_num_ps_replicas': 0, '_task_id': 0, '_num_worker_replicas': 1, '_tf_random_seed': None}\n", - "INFO:tensorflow:Using config: {'_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_save_checkpoints_secs': None, '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_master': '', '_keep_checkpoint_max': 5, '_log_step_count_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_cluster_spec': , '_task_type': 'worker', '_is_chief': True, '_evaluation_master': '', '_global_id_in_cluster': 0, '_save_summary_steps': 100, '_num_ps_replicas': 0, '_task_id': 0, '_num_worker_replicas': 1, '_tf_random_seed': None}\n", - "INFO:__main__:Rank: 1 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_task_type': 'worker', '_num_ps_replicas': 0, '_service': None, '_cluster_spec': , '_num_worker_replicas': 1, '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_steps': 10000, '_tf_random_seed': None, '_is_chief': True, '_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_save_checkpoints_secs': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_global_id_in_cluster': 0, '_evaluation_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_log_step_count_steps': 100, '_task_id': 0, '_master': ''}\n", - "INFO:tensorflow:Using config: {'_task_type': 'worker', '_num_ps_replicas': 0, '_service': None, '_cluster_spec': , '_num_worker_replicas': 1, '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_steps': 10000, '_tf_random_seed': None, '_is_chief': True, '_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_save_checkpoints_secs': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_global_id_in_cluster': 0, '_evaluation_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_log_step_count_steps': 100, '_task_id': 0, '_master': ''}\n", - "INFO:__main__:Rank: 1 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_save_checkpoints_steps': 10000, '_task_type': 'worker', '_is_chief': True, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_task_id': 0, '_service': None, '_evaluation_master': '', '_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_log_step_count_steps': 100, '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_save_checkpoints_steps': 10000, '_task_type': 'worker', '_is_chief': True, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_task_id': 0, '_service': None, '_evaluation_master': '', '_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_log_step_count_steps': 100, '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000}\n", - "INFO:__main__:Rank: 1 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_task_id': 0, '_cluster_spec': , '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_ps_replicas': 0, '_service': None, '_global_id_in_cluster': 0, '_tf_random_seed': None, '_is_chief': True, '_task_type': 'worker', '_save_checkpoints_secs': None, '_num_worker_replicas': 1, '_master': '', '_save_summary_steps': 100}\n", - "INFO:tensorflow:Using config: {'_task_id': 0, '_cluster_spec': , '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_ps_replicas': 0, '_service': None, '_global_id_in_cluster': 0, '_tf_random_seed': None, '_is_chief': True, '_task_type': 'worker', '_save_checkpoints_secs': None, '_num_worker_replicas': 1, '_master': '', '_save_summary_steps': 100}\n", - "INFO:__main__:Rank: 3 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_log_step_count_steps': 100, '_task_id': 0, '_service': None, '_keep_checkpoint_max': 5, '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_tf_random_seed': None, '_evaluation_master': '', '_save_summary_steps': 100, '_master': '', '_is_chief': True, '_global_id_in_cluster': 0}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_log_step_count_steps': 100, '_task_id': 0, '_service': None, '_keep_checkpoint_max': 5, '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_tf_random_seed': None, '_evaluation_master': '', '_save_summary_steps': 100, '_master': '', '_is_chief': True, '_global_id_in_cluster': 0}\n", - "INFO:__main__:Rank: 1 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_master': '', '_num_worker_replicas': 1, '_tf_random_seed': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_type': 'worker', '_num_ps_replicas': 0, '_keep_checkpoint_every_n_hours': 10000, '_evaluation_master': '', '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_is_chief': True, '_log_step_count_steps': 100, '_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_task_id': 0, '_save_checkpoints_steps': 10000, '_service': None}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_master': '', '_num_worker_replicas': 1, '_tf_random_seed': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_type': 'worker', '_num_ps_replicas': 0, '_keep_checkpoint_every_n_hours': 10000, '_evaluation_master': '', '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_is_chief': True, '_log_step_count_steps': 100, '_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_task_id': 0, '_save_checkpoints_steps': 10000, '_service': None}\n", - "INFO:__main__:Rank: 2 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_save_checkpoints_secs': None, '_keep_checkpoint_every_n_hours': 10000, '_cluster_spec': , '_num_ps_replicas': 0, '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/outputs/Models', '_is_chief': True, '_tf_random_seed': None, '_master': '', '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_service': None, '_log_step_count_steps': 100, '_task_type': 'worker', '_global_id_in_cluster': 0, '_save_checkpoints_steps': 10000, '_evaluation_master': ''}\n", - "INFO:tensorflow:Using config: {'_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_save_checkpoints_secs': None, '_keep_checkpoint_every_n_hours': 10000, '_cluster_spec': , '_num_ps_replicas': 0, '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/outputs/Models', '_is_chief': True, '_tf_random_seed': None, '_master': '', '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_service': None, '_log_step_count_steps': 100, '_task_type': 'worker', '_global_id_in_cluster': 0, '_save_checkpoints_steps': 10000, '_evaluation_master': ''}\n", - "INFO:__main__:Rank: 0 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_id': 0, '_save_summary_steps': 100, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_save_checkpoints_steps': 10000, '_is_chief': True, '_log_step_count_steps': 100, '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_master': '', '_cluster_spec': , '_num_ps_replicas': 0, '_task_type': 'worker', '_num_worker_replicas': 1, '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_global_id_in_cluster': 0, '_service': None, '_evaluation_master': ''}\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_id': 0, '_save_summary_steps': 100, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_save_checkpoints_steps': 10000, '_is_chief': True, '_log_step_count_steps': 100, '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_master': '', '_cluster_spec': , '_num_ps_replicas': 0, '_task_type': 'worker', '_num_worker_replicas': 1, '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_global_id_in_cluster': 0, '_service': None, '_evaluation_master': ''}\n", - "INFO:__main__:Rank: 3 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_id': 0, '_global_id_in_cluster': 0, '_save_summary_steps': 100, '_service': None, '_log_step_count_steps': 100, '_master': '', '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_task_type': 'worker', '_is_chief': True, '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_cluster_spec': , '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_secs': None, '_num_worker_replicas': 1, '_tf_random_seed': None}\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_id': 0, '_global_id_in_cluster': 0, '_save_summary_steps': 100, '_service': None, '_log_step_count_steps': 100, '_master': '', '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_task_type': 'worker', '_is_chief': True, '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_cluster_spec': , '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_secs': None, '_num_worker_replicas': 1, '_tf_random_seed': None}\n", - "INFO:__main__:Rank: 0 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_save_summary_steps': 100, '_is_chief': True, '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_tf_random_seed': None, '_evaluation_master': '', '_num_worker_replicas': 1, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_id': 0, '_cluster_spec': , '_task_type': 'worker', '_service': None, '_master': '', '_log_step_count_steps': 100}\n", - "INFO:tensorflow:Using config: {'_save_summary_steps': 100, '_is_chief': True, '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_tf_random_seed': None, '_evaluation_master': '', '_num_worker_replicas': 1, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_id': 0, '_cluster_spec': , '_task_type': 'worker', '_service': None, '_master': '', '_log_step_count_steps': 100}\n", - "INFO:__main__:Rank: 3 Cluster Size 24\n", - "INFO:__main__:Training...\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:47.096426: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:47.280970: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:47.459952: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:47.763823: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 0b39:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-13 18:33:47.763874: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-13 18:33:47.803367: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: ddea:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-13 18:33:47.803424: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:47.938111: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:47.949789: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:48.040077: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:48.069905: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:48.097298: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14869 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 0b39:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:48.176255: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: fd5d:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-13 18:33:48.176310: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-13 18:33:48.175328: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14862 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: ddea:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:48.491713: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: ead1:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-13 18:33:48.491765: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-13 18:33:48.642781: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14862 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: fd5d:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:48.653194: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: f5cd:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-13 18:33:48.653249: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:48.660066: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:48.706728: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:48.795921: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:48.814634: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14862 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: ead1:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:48.824817: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: c6ef:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-13 18:33:48.824876: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-13 18:33:48.831234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 365d:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-13 18:33:48.831289: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:48.970864: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:49.000859: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:49.104015: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14862 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: f5cd:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:49.200066: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14869 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: c6ef:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:49.242630: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:49.296780: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:49.398368: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: 365d:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:49.406749: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 0cb9:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-13 18:33:49.406803: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-13 18:33:49.425152: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 0e10:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-13 18:33:49.425210: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-13 18:33:49.457240: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: cfbc:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-13 18:33:49.457295: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:49.510637: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:49.522854: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 10f7:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-13 18:33:49.522913: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:49.605487: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:49.619987: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:49.703444: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:49.708623: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: b75f:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-13 18:33:49.708693: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:49.826302: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:49.839300: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 0e10:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:49.914896: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:49.928623: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14862 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 10f7:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:49.978313: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 0cb9:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:50.048992: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: e08f:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-13 18:33:50.049048: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-13 18:33:50.080702: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: cfbc:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:50.118918: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 2118:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-13 18:33:50.118975: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-13 18:33:50.133284: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: e2be:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-13 18:33:50.133413: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-13 18:33:50.199319: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: b75f:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:50.213630: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:50.245665: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:50.254547: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 1d89:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-13 18:33:50.254591: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:50.258981: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:50.375244: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: f82d:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-13 18:33:50.375302: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-13 18:33:50.446795: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: 2118:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:50.450606: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: db78:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-13 18:33:50.450704: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-13 18:33:50.582687: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: e08f:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:50.621125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: cf5f:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-13 18:33:50.621184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-13 18:33:50.669082: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: e2be:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:50.724440: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: f7b4:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-13 18:33:50.724581: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-13 18:33:50.739617: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: 1d89:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-13 18:33:50.751665: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-13 18:33:50.837641: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: f82d:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:50.976464: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: cf5f:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:50.986391: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 00b2:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-13 18:33:50.986447: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-13 18:33:51.040515: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: ee95:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-13 18:33:51.040800: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-13 18:33:51.045888: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: f7b4:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:51.048474: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: db78:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:51.266686: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: e53e:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-13 18:33:51.266746: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-13 18:33:51.330937: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 00b2:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:51.375543: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: ee95:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:51.689772: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: d587:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-13 18:33:51.689840: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-13 18:33:51.789976: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: e53e:00:00.0, compute capability: 7.0)\n", - "2018-05-13 18:33:52.019165: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: d587:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - 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/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/outputs/Models/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/f45c419b-9794-4971-ae20-02eaa0e667f2/outputs/Models/model.ckpt.\n", - "INFO:tensorflow:loss = 8.094051, step = 1\n", - "INFO:tensorflow:loss = 8.094051, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.062719\n", - "INFO:tensorflow:step = 1, loss = 8.062719\n", - "INFO:tensorflow:loss = 7.8518944, step = 1\n", - "INFO:tensorflow:loss = 7.8518944, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.9465632\n", - "INFO:tensorflow:step = 1, loss = 7.9465632\n", - "INFO:tensorflow:loss = 7.8052144, step = 1\n", - "INFO:tensorflow:loss = 7.8052144, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.176419\n", - "INFO:tensorflow:step = 1, loss = 8.176419\n", - "INFO:tensorflow:loss = 7.7851043, step = 1\n", - "INFO:tensorflow:loss = 7.7851043, step = 1\n", - "INFO:tensorflow:loss = 8.221577, step = 1\n", - "INFO:tensorflow:loss = 8.221577, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.952653\n", - "INFO:tensorflow:step = 1, loss = 7.952653\n", - "INFO:tensorflow:step = 1, loss = 7.75682\n", - "INFO:tensorflow:step = 1, loss = 7.75682\n", - "INFO:tensorflow:step = 1, loss = 8.138606\n", - "INFO:tensorflow:step = 1, loss = 8.138606\n", - "INFO:tensorflow:loss = 8.06268, step = 1\n", - "INFO:tensorflow:loss = 8.06268, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.189165\n", - "INFO:tensorflow:step = 1, loss = 8.189165\n", - "INFO:tensorflow:loss = 7.634463, step = 1\n", - "INFO:tensorflow:loss = 7.634463, step = 1\n", - "INFO:tensorflow:loss = 8.063208, step = 1\n", - "INFO:tensorflow:loss = 8.063208, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.140873\n", - "INFO:tensorflow:step = 1, loss = 8.140873\n", - "INFO:tensorflow:step = 1, loss = 7.7458224\n", - "INFO:tensorflow:step = 1, loss = 7.7458224\n", - "INFO:tensorflow:step = 1, loss = 8.306837\n", - "INFO:tensorflow:step = 1, loss = 8.306837\n", - "INFO:tensorflow:loss = 8.002583, step = 1\n", - "INFO:tensorflow:loss = 8.002583, step = 1\n", - "INFO:tensorflow:loss = 8.125244, step = 1\n", - "INFO:tensorflow:loss = 8.125244, step = 1\n", - "INFO:tensorflow:loss = 7.778454, step = 1\n", - "INFO:tensorflow:loss = 7.778454, step = 1\n", - "INFO:tensorflow:loss = 7.7477, step = 1\n", - "INFO:tensorflow:loss = 7.7477, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.019773\n", - "INFO:tensorflow:step = 1, loss = 8.019773\n", - "INFO:tensorflow:loss = 7.9304967, step = 1\n", - "INFO:tensorflow:loss = 7.9304967, step = 1\n", - "INFO:tensorflow:global_step/sec: 0.605609\n", - "INFO:tensorflow:global_step/sec: 0.611841\n", - "INFO:tensorflow:global_step/sec: 0.605609\n", - "INFO:tensorflow:global_step/sec: 0.611841\n", - "INFO:tensorflow:global_step/sec: 0.612206\n", - "INFO:tensorflow:global_step/sec: 0.612206\n", - "INFO:tensorflow:global_step/sec: 0.596739\n", - "INFO:tensorflow:global_step/sec: 0.597026\n", - "INFO:tensorflow:global_step/sec: 0.619114\n", - "INFO:tensorflow:global_step/sec: 0.674782\n", - "INFO:tensorflow:global_step/sec: 0.597026\n", - "INFO:tensorflow:loss = 6.994896, step = 101 (165.124 sec)\n", - "INFO:tensorflow:global_step/sec: 0.674782\n", - "INFO:tensorflow:global_step/sec: 0.605209\n", - "INFO:tensorflow:global_step/sec: 0.619114\n", - "INFO:tensorflow:global_step/sec: 0.605209\n", - "INFO:tensorflow:loss = 6.994896, step = 101 (165.124 sec)\n", - "INFO:tensorflow:global_step/sec: 0.596739\n", - "INFO:tensorflow:step = 101, loss = 6.812911 (163.442 sec)\n", - "INFO:tensorflow:global_step/sec: 0.600406\n", - "INFO:tensorflow:global_step/sec: 0.611575\n", - "INFO:tensorflow:step = 101, loss = 6.812911 (163.442 sec)\n", - "INFO:tensorflow:global_step/sec: 0.611768\n", - "INFO:tensorflow:global_step/sec: 0.600406\n", - "INFO:tensorflow:global_step/sec: 0.610827\n", - "INFO:tensorflow:global_step/sec: 0.596596\n", - "INFO:tensorflow:step = 101, loss = 7.02181 (167.497 sec)\n", - "INFO:tensorflow:global_step/sec: 0.598429\n", - "INFO:tensorflow:global_step/sec: 0.604056\n", - "INFO:tensorflow:global_step/sec: 0.596596\n", - "INFO:tensorflow:step = 101, loss = 7.02181 (167.497 sec)\n", - "INFO:tensorflow:global_step/sec: 0.611768\n", - "INFO:tensorflow:global_step/sec: 0.605164\n", - "INFO:tensorflow:loss = 6.9451566, step = 101 (161.522 sec)\n", - "INFO:tensorflow:global_step/sec: 0.605317\n", - "INFO:tensorflow:global_step/sec: 0.598429\n", - "INFO:tensorflow:global_step/sec: 0.605164\n", - "INFO:tensorflow:step = 101, loss = 6.8566 (163.345 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.8566 (163.345 sec)\n", - "INFO:tensorflow:global_step/sec: 0.61853\n", - "INFO:tensorflow:global_step/sec: 0.605488\n", - "INFO:tensorflow:loss = 6.9451566, step = 101 (161.522 sec)\n", - "INFO:tensorflow:global_step/sec: 0.611575\n", - "INFO:tensorflow:global_step/sec: 0.605488\n", - "INFO:tensorflow:global_step/sec: 0.605317\n", - "INFO:tensorflow:loss = 6.8769693, step = 101 (163.461 sec)\n", - "INFO:tensorflow:global_step/sec: 0.61853\n", - "INFO:tensorflow:global_step/sec: 0.619244\n", - "INFO:tensorflow:loss = 6.924196, step = 101 (167.619 sec)\n", - "INFO:tensorflow:loss = 6.8769693, step = 101 (163.461 sec)\n", - "INFO:tensorflow:loss = 6.924196, step = 101 (167.619 sec)\n", - "INFO:tensorflow:loss = 6.9338284, step = 101 (167.105 sec)\n", - "INFO:tensorflow:loss = 6.867346, step = 101 (163.513 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.8783817 (165.204 sec)\n", - "INFO:tensorflow:loss = 6.9338284, step = 101 (167.105 sec)\n", - "INFO:tensorflow:global_step/sec: 0.619244\n", - "INFO:tensorflow:step = 101, loss = 6.9929633 (167.578 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.9929633 (167.578 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.8783817 (165.204 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.896326 (165.157 sec)\n", - "INFO:tensorflow:global_step/sec: 0.597014\n", - "INFO:tensorflow:step = 101, loss = 6.847023 (166.555 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.847023 (166.555 sec)\n", - "INFO:tensorflow:global_step/sec: 0.604056\n", - "INFO:tensorflow:loss = 6.867346, step = 101 (163.513 sec)\n", - "INFO:tensorflow:global_step/sec: 0.597014\n", - "INFO:tensorflow:global_step/sec: 0.610827\n", - "INFO:tensorflow:loss = 6.859169, step = 101 (161.674 sec)\n", - "INFO:tensorflow:global_step/sec: 0.618584\n", - "INFO:tensorflow:loss = 6.8880177, step = 101 (165.246 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.9194126 (163.713 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.9194126 (163.713 sec)\n", - "INFO:tensorflow:loss = 6.859169, step = 101 (161.674 sec)\n", - "INFO:tensorflow:global_step/sec: 0.618584\n", - "INFO:tensorflow:step = 101, loss = 6.896326 (165.157 sec)\n", - "INFO:tensorflow:loss = 6.8880177, step = 101 (165.246 sec)\n", - "INFO:tensorflow:loss = 6.8148274, step = 101 (165.549 sec)\n", - "INFO:tensorflow:step = 101, loss = 7.0016327 (161.488 sec)\n", - "INFO:tensorflow:loss = 6.8148274, step = 101 (165.549 sec)\n", - "INFO:tensorflow:step = 101, loss = 7.0016327 (161.488 sec)\n", - "INFO:tensorflow:step = 101, loss = 7.093297 (165.234 sec)\n", - "INFO:tensorflow:step = 101, loss = 7.093297 (165.234 sec)\n", - "INFO:tensorflow:loss = 7.145682, step = 101 (161.660 sec)\n", - "INFO:tensorflow:loss = 7.145682, step = 101 (161.660 sec)\n", - "INFO:tensorflow:loss = 6.876779, step = 101 (167.501 sec)\n", - "INFO:tensorflow:loss = 6.876779, step = 101 (167.501 sec)\n", - "INFO:tensorflow:global_step/sec: 0.619122\n", - "INFO:tensorflow:global_step/sec: 0.619122\n", - "INFO:tensorflow:loss = 6.7292824, step = 101 (161.520 sec)\n", - "INFO:tensorflow:loss = 6.7292824, step = 101 (161.520 sec)\n", - "INFO:tensorflow:global_step/sec: 0.611898\n", - "INFO:tensorflow:global_step/sec: 0.611898\n", - "INFO:tensorflow:step = 101, loss = 6.914881 (163.428 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.914881 (163.428 sec)\n", - "INFO:tensorflow:loss = 6.871977, step = 101 (148.259 sec)\n", - "INFO:tensorflow:loss = 6.871977, step = 101 (148.259 sec)\n", - "INFO:tensorflow:global_step/sec: 0.777874\n", - "INFO:tensorflow:global_step/sec: 0.77787\n", - "INFO:tensorflow:global_step/sec: 0.777878\n", - "INFO:tensorflow:global_step/sec: 0.777874\n", - "INFO:tensorflow:global_step/sec: 0.777887\n", - "INFO:tensorflow:global_step/sec: 0.777874\n", - "INFO:tensorflow:global_step/sec: 0.777884\n", - "INFO:tensorflow:global_step/sec: 0.777876\n", - "INFO:tensorflow:global_step/sec: 0.777874\n", - "INFO:tensorflow:global_step/sec: 0.777874\n", - "INFO:tensorflow:global_step/sec: 0.777873\n", - "INFO:tensorflow:global_step/sec: 0.777875\n", - "INFO:tensorflow:global_step/sec: 0.777907\n", - "INFO:tensorflow:global_step/sec: 0.777866\n", - "INFO:tensorflow:global_step/sec: 0.777866\n", - "INFO:tensorflow:global_step/sec: 0.777878\n", - "INFO:tensorflow:global_step/sec: 0.777873\n", - "INFO:tensorflow:global_step/sec: 0.777873\n", - "INFO:tensorflow:global_step/sec: 0.777874\n", - "INFO:tensorflow:global_step/sec: 0.777876\n", - "INFO:tensorflow:global_step/sec: 0.777876\n", - "INFO:tensorflow:global_step/sec: 0.777876\n", - "INFO:tensorflow:global_step/sec: 0.777873\n", - "INFO:tensorflow:global_step/sec: 0.77787\n", - "INFO:tensorflow:global_step/sec: 0.777875\n", - "INFO:tensorflow:global_step/sec: 0.777884\n", - "INFO:tensorflow:global_step/sec: 0.777872\n", - "INFO:tensorflow:global_step/sec: 0.777871\n", - "INFO:tensorflow:global_step/sec: 0.777874\n", - "INFO:tensorflow:global_step/sec: 0.777873\n", - "INFO:tensorflow:global_step/sec: 0.777869\n", - "INFO:tensorflow:global_step/sec: 0.777876\n", - "INFO:tensorflow:global_step/sec: 0.777872\n", - "INFO:tensorflow:global_step/sec: 0.777876\n", - "INFO:tensorflow:global_step/sec: 0.777874\n", - "INFO:tensorflow:global_step/sec: 0.777873\n", - "INFO:tensorflow:global_step/sec: 0.777869\n", - "INFO:tensorflow:global_step/sec: 0.777907\n", - "INFO:tensorflow:step = 201, loss = 6.970878 (128.555 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.5921936 (128.555 sec)\n", - "INFO:tensorflow:global_step/sec: 0.777874\n", - "INFO:tensorflow:global_step/sec: 0.777887\n", - "INFO:tensorflow:loss = 6.6878457, step = 201 (128.556 sec)\n", - "INFO:tensorflow:global_step/sec: 0.777886\n", - "INFO:tensorflow:step = 201, loss = 6.970878 (128.555 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.5921936 (128.555 sec)\n", - "INFO:tensorflow:global_step/sec: 0.777874\n", - "INFO:tensorflow:step = 201, loss = 6.6157866 (128.556 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.6157866 (128.556 sec)\n", - "INFO:tensorflow:global_step/sec: 0.777871\n", - "INFO:tensorflow:loss = 6.770714, step = 201 (128.554 sec)\n", - "INFO:tensorflow:loss = 6.638768, step = 201 (128.557 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.590535 (128.555 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.590535 (128.555 sec)\n", - "INFO:tensorflow:loss = 6.6532636, step = 201 (128.555 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.7222958 (128.556 sec)\n", - "INFO:tensorflow:loss = 6.6878457, step = 201 (128.556 sec)\n", - "INFO:tensorflow:loss = 6.7126937, step = 201 (128.555 sec)\n", - "INFO:tensorflow:loss = 6.7126937, step = 201 (128.555 sec)\n", - "INFO:tensorflow:loss = 6.638768, step = 201 (128.557 sec)\n", - "INFO:tensorflow:loss = 6.726309, step = 201 (128.555 sec)\n", - "INFO:tensorflow:loss = 6.726309, step = 201 (128.555 sec)\n", - "INFO:tensorflow:loss = 6.6532636, step = 201 (128.555 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.7222958 (128.556 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.853556 (128.555 sec)\n", - "INFO:tensorflow:loss = 6.770714, step = 201 (128.554 sec)\n", - "INFO:tensorflow:loss = 6.720794, step = 201 (128.556 sec)\n", - "INFO:tensorflow:global_step/sec: 0.777871\n", - "INFO:tensorflow:loss = 6.6200895, step = 201 (128.556 sec)\n", - "INFO:tensorflow:loss = 6.723781, step = 201 (128.554 sec)\n", - "INFO:tensorflow:global_step/sec: 0.777871\n", - "INFO:tensorflow:global_step/sec: 0.777886\n", - "INFO:tensorflow:loss = 6.720794, step = 201 (128.556 sec)\n", - "INFO:tensorflow:loss = 6.7054505, step = 201 (128.710 sec)\n", - "INFO:tensorflow:loss = 6.6200895, step = 201 (128.556 sec)\n", - "INFO:tensorflow:loss = 6.723781, step = 201 (128.554 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.853556 (128.555 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.6569324 (128.550 sec)\n", - "INFO:tensorflow:global_step/sec: 0.777844\n", - "INFO:tensorflow:loss = 6.7054505, step = 201 (128.710 sec)\n", - "INFO:tensorflow:loss = 6.9595704, step = 201 (128.555 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.6361113 (128.554 sec)\n", - "INFO:tensorflow:loss = 6.781682, step = 201 (128.556 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.6569324 (128.550 sec)\n", - "INFO:tensorflow:global_step/sec: 0.777844\n", - "INFO:tensorflow:loss = 6.9595704, step = 201 (128.555 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.6361113 (128.554 sec)\n", - "INFO:tensorflow:loss = 6.781682, step = 201 (128.556 sec)\n", - "INFO:tensorflow:loss = 6.7152452, step = 201 (128.553 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.63254 (128.560 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.8971815 (128.556 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.687091 (128.556 sec)\n", - "INFO:tensorflow:loss = 6.7152452, step = 201 (128.553 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.63254 (128.560 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.8971815 (128.556 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.687091 (128.556 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767607\n", - "INFO:tensorflow:global_step/sec: 0.767591\n", - "INFO:tensorflow:global_step/sec: 0.767589\n", - "INFO:tensorflow:global_step/sec: 0.767597\n", - "INFO:tensorflow:global_step/sec: 0.76759\n", - "INFO:tensorflow:global_step/sec: 0.76759\n", - "INFO:tensorflow:global_step/sec: 0.767586\n", - "INFO:tensorflow:global_step/sec: 0.767607\n", - "INFO:tensorflow:global_step/sec: 0.767587\n", - "INFO:tensorflow:global_step/sec: 0.767588\n", - "INFO:tensorflow:global_step/sec: 0.767597\n", - "INFO:tensorflow:global_step/sec: 0.767586\n", - "INFO:tensorflow:global_step/sec: 0.767586\n", - "INFO:tensorflow:global_step/sec: 0.767586\n", - "INFO:tensorflow:step = 301, loss = 6.6929564 (130.276 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767591\n", - "INFO:tensorflow:global_step/sec: 0.767589\n", - "INFO:tensorflow:global_step/sec: 0.767591\n", - "INFO:tensorflow:loss = 6.5800114, step = 301 (130.277 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767583\n", - "INFO:tensorflow:step = 301, loss = 6.6929564 (130.276 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767587\n", - "INFO:tensorflow:global_step/sec: 0.767588\n", - "INFO:tensorflow:step = 301, loss = 6.75682 (130.277 sec)\n", - "INFO:tensorflow:loss = 6.5800114, step = 301 (130.277 sec)\n", - "INFO:tensorflow:loss = 6.690507, step = 301 (130.279 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767584\n", - "INFO:tensorflow:loss = 6.532633, step = 301 (130.278 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767583\n", - "INFO:tensorflow:step = 301, loss = 6.75682 (130.277 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767579\n", - "INFO:tensorflow:loss = 6.690507, step = 301 (130.279 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767583\n", - "INFO:tensorflow:loss = 6.532633, step = 301 (130.278 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767583\n", - "INFO:tensorflow:global_step/sec: 0.767591\n", - "INFO:tensorflow:loss = 6.418435, step = 301 (130.279 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767583\n", - "INFO:tensorflow:global_step/sec: 0.767584\n", - "INFO:tensorflow:step = 301, loss = 6.4181232 (130.279 sec)\n", - "INFO:tensorflow:loss = 6.6147256, step = 301 (130.278 sec)\n", - "INFO:tensorflow:loss = 6.551034, step = 301 (130.278 sec)\n", - "INFO:tensorflow:loss = 6.418435, step = 301 (130.279 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767579\n", - "INFO:tensorflow:global_step/sec: 0.767583\n", - "INFO:tensorflow:step = 301, loss = 6.4181232 (130.279 sec)\n", - "INFO:tensorflow:loss = 6.6147256, step = 301 (130.278 sec)\n", - "INFO:tensorflow:loss = 6.551034, step = 301 (130.278 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767579\n", - "INFO:tensorflow:global_step/sec: 0.767579\n", - "INFO:tensorflow:loss = 6.7451496, step = 301 (130.279 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767573\n", - "INFO:tensorflow:loss = 6.5417657, step = 301 (130.278 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767572\n", - "INFO:tensorflow:step = 301, loss = 6.6410265 (130.280 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767583\n", - "INFO:tensorflow:loss = 6.7451496, step = 301 (130.279 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767544\n", - "INFO:tensorflow:global_step/sec: 0.767583\n", - "INFO:tensorflow:global_step/sec: 0.767572\n", - "INFO:tensorflow:step = 301, loss = 6.6410265 (130.280 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767583\n", - "INFO:tensorflow:loss = 6.5547104, step = 301 (130.280 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767544\n", - "INFO:tensorflow:global_step/sec: 0.767583\n", - "INFO:tensorflow:global_step/sec: 0.767567\n", - "INFO:tensorflow:global_step/sec: 0.767558\n", - "INFO:tensorflow:global_step/sec: 0.767558\n", - "INFO:tensorflow:loss = 6.542977, step = 301 (130.279 sec)\n", - "INFO:tensorflow:loss = 6.5547104, step = 301 (130.280 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.691202 (130.286 sec)\n", - "INFO:tensorflow:loss = 6.5417657, step = 301 (130.278 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767567\n", - "INFO:tensorflow:step = 301, loss = 6.5318956 (130.283 sec)\n", - "INFO:tensorflow:loss = 6.542977, step = 301 (130.279 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767566\n", - "INFO:tensorflow:step = 301, loss = 6.691202 (130.286 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.3096685 (130.279 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.553521 (130.281 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.5318956 (130.283 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.1700926 (130.280 sec)\n", - "INFO:tensorflow:global_step/sec: 0.767566\n", - "INFO:tensorflow:global_step/sec: 0.767573\n", - "INFO:tensorflow:step = 301, loss = 6.3096685 (130.279 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.553521 (130.281 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.1700926 (130.280 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.3306885 (130.282 sec)\n", - "INFO:tensorflow:loss = 6.682013, step = 301 (130.290 sec)\n", - "INFO:tensorflow:loss = 6.648941, step = 301 (130.279 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.3254833 (130.282 sec)\n", - "INFO:tensorflow:loss = 6.2310143, step = 301 (130.279 sec)\n", - "INFO:tensorflow:loss = 6.2310143, step = 301 (130.279 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.3306885 (130.282 sec)\n", - "INFO:tensorflow:loss = 6.682013, step = 301 (130.290 sec)\n", - "INFO:tensorflow:loss = 6.648941, step = 301 (130.279 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.3254833 (130.282 sec)\n", - "INFO:tensorflow:global_step/sec: 0.734637\n", - "INFO:tensorflow:global_step/sec: 0.734637\n", - "INFO:tensorflow:global_step/sec: 0.734655\n", - "INFO:tensorflow:global_step/sec: 0.734655\n", - "INFO:tensorflow:global_step/sec: 0.734636\n", - "INFO:tensorflow:global_step/sec: 0.734644\n", - "INFO:tensorflow:global_step/sec: 0.734637\n", - "INFO:tensorflow:global_step/sec: 0.73464\n", - "INFO:tensorflow:global_step/sec: 0.73464\n", - "INFO:tensorflow:global_step/sec: 0.734606\n", - "INFO:tensorflow:global_step/sec: 0.734637\n", - "INFO:tensorflow:global_step/sec: 0.734637\n", - "INFO:tensorflow:global_step/sec: 0.734633\n", - "INFO:tensorflow:global_step/sec: 0.734644\n", - "INFO:tensorflow:global_step/sec: 0.734637\n", - "INFO:tensorflow:global_step/sec: 0.734641\n", - "INFO:tensorflow:global_step/sec: 0.734606\n", - "INFO:tensorflow:global_step/sec: 0.734637\n", - "INFO:tensorflow:global_step/sec: 0.734637\n", - "INFO:tensorflow:global_step/sec: 0.734636\n", - "INFO:tensorflow:global_step/sec: 0.734638\n", - "INFO:tensorflow:global_step/sec: 0.734667\n", - "INFO:tensorflow:global_step/sec: 0.73464\n", - "INFO:tensorflow:global_step/sec: 0.73464\n", - "INFO:tensorflow:global_step/sec: 0.734626\n", - "INFO:tensorflow:global_step/sec: 0.734626\n", - "INFO:tensorflow:global_step/sec: 0.734676\n", - "INFO:tensorflow:global_step/sec: 0.734638\n", - "INFO:tensorflow:global_step/sec: 0.734638\n", - "INFO:tensorflow:global_step/sec: 0.734667\n", - "INFO:tensorflow:global_step/sec: 0.734631\n", - "INFO:tensorflow:global_step/sec: 0.734622\n", - "INFO:tensorflow:global_step/sec: 0.734622\n", - "INFO:tensorflow:global_step/sec: 0.734676\n", - "INFO:tensorflow:global_step/sec: 0.734637\n", - "INFO:tensorflow:global_step/sec: 0.734612\n", - "INFO:tensorflow:loss = 6.181876, step = 401 (136.121 sec)\n", - "INFO:tensorflow:global_step/sec: 0.734631\n", - "INFO:tensorflow:global_step/sec: 0.734662\n", - "INFO:tensorflow:global_step/sec: 0.734662\n", - "INFO:tensorflow:step = 401, loss = 6.2183447 (136.121 sec)\n", - "INFO:tensorflow:global_step/sec: 0.734633\n", - "INFO:tensorflow:global_step/sec: 0.734612\n", - "INFO:tensorflow:loss = 6.181876, step = 401 (136.121 sec)\n", - "INFO:tensorflow:global_step/sec: 0.734641\n", - "INFO:tensorflow:loss = 6.537712, step = 401 (136.123 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.2183447 (136.121 sec)\n", - "INFO:tensorflow:global_step/sec: 0.734638\n", - "INFO:tensorflow:global_step/sec: 0.734616\n", - "INFO:tensorflow:loss = 6.5367455, step = 401 (136.122 sec)\n", - "INFO:tensorflow:loss = 6.354892, step = 401 (136.121 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.259217 (136.127 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.259217 (136.127 sec)\n", - "INFO:tensorflow:loss = 6.2478037, step = 401 (136.121 sec)\n", - "INFO:tensorflow:global_step/sec: 0.734637\n", - "INFO:tensorflow:step = 401, loss = 6.2435026 (136.121 sec)\n", - "INFO:tensorflow:loss = 6.5367455, step = 401 (136.122 sec)\n", - "INFO:tensorflow:loss = 6.354892, step = 401 (136.121 sec)\n", - "INFO:tensorflow:loss = 6.537712, step = 401 (136.123 sec)\n", - "INFO:tensorflow:loss = 6.2478037, step = 401 (136.121 sec)\n", - "INFO:tensorflow:loss = 6.3970537, step = 401 (136.122 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.2435026 (136.121 sec)\n", - "INFO:tensorflow:global_step/sec: 0.734636\n", - "INFO:tensorflow:step = 401, loss = 6.31314 (136.121 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.31314 (136.121 sec)\n", - "INFO:tensorflow:loss = 6.175267, step = 401 (136.125 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.443447 (136.114 sec)\n", - "INFO:tensorflow:loss = 6.3970537, step = 401 (136.122 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.303097 (136.121 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.303097 (136.121 sec)\n", - "INFO:tensorflow:global_step/sec: 0.734636\n", - "INFO:tensorflow:loss = 6.2840166, step = 401 (136.121 sec)\n", - "INFO:tensorflow:loss = 6.2840166, step = 401 (136.121 sec)\n", - "INFO:tensorflow:loss = 6.175267, step = 401 (136.125 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.443447 (136.114 sec)\n", - "INFO:tensorflow:loss = 6.2788987, step = 401 (136.122 sec)\n", - "INFO:tensorflow:global_step/sec: 0.734616\n", - "INFO:tensorflow:step = 401, loss = 6.343581 (136.116 sec)\n", - "INFO:tensorflow:loss = 6.301098, step = 401 (136.125 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.627759 (136.118 sec)\n", - "INFO:tensorflow:loss = 6.154866, step = 401 (136.010 sec)\n", - "INFO:tensorflow:loss = 6.154866, step = 401 (136.010 sec)\n", - "INFO:tensorflow:loss = 6.2788987, step = 401 (136.122 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.272949 (136.126 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.272949 (136.126 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.343581 (136.116 sec)\n", - "INFO:tensorflow:loss = 6.301098, step = 401 (136.125 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.627759 (136.118 sec)\n", - "INFO:tensorflow:loss = 6.3317237, step = 401 (136.121 sec)\n", - "INFO:tensorflow:loss = 6.428091, step = 401 (136.126 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.324615 (136.121 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.27281 (136.122 sec)\n", - "INFO:tensorflow:loss = 6.428091, step = 401 (136.126 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.324615 (136.121 sec)\n", - "INFO:tensorflow:loss = 6.3317237, step = 401 (136.121 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.27281 (136.122 sec)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "^C\r\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stderr.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "10.0.0.4,10.0.0.5\n", - "train\n", - "train.csv\n", - "validation\n", - "validation.csv\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 107, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai job delete --name horovod_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": 108, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "\u001b[K - Starting ..\r", - "\r", - "\u001b[K - Finished ..\r", - "\r", - "\u001b[K" - ] - } - ], - "source": [ - "!az batchai file-server delete -n $NFS_NAME -y -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [default]", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control/HorovodImagenetBatchAI-LocalFiles.ipynb b/_tmp/control/HorovodImagenetBatchAI-LocalFiles.ipynb deleted file mode 100644 index dbee0bd..0000000 --- a/_tmp/control/HorovodImagenetBatchAI-LocalFiles.ipynb +++ /dev/null @@ -1,1829 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mTo sign in, use a web browser to open the page https://microsoft.com/devicelogin and enter the code ABNVKQJ47 to authenticate.\u001b[0m\n", - "CloudName Name State TenantId IsDefault\n", - "----------- ----------------------------- ------- ------------------------------------ -----------\n", - "AzureCloud Boston DS Dev Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Azure Internal - London Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Danielle Internal Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47 True\n", - "AzureCloud Visual Studio Enterprise Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Boston Engineering Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ADLTrainingMS Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyExt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Ads Eng Big Data Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling Preview Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling development Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud AzureML Client PROD Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud R portal - Production Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyInt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Project Vienna Demo 1 Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Solution Template Testing Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Ilan Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Marketing Automation Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n" - ] - } - ], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.24)\r\n", - "\r\n", - "acr (2.0.18)\r\n", - "acs (2.0.23)\r\n", - "advisor (0.1.1)\r\n", - "appservice (0.1.23)\r\n", - "backup (1.0.4)\r\n", - "batch (3.1.8)\r\n", - "batchai (0.1.4)\r\n", - "billing (0.1.7)\r\n", - "cdn (0.0.11)\r\n", - "cloud (2.0.11)\r\n", - "cognitiveservices (0.1.10)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.13)\r\n", - "consumption (0.2.1)\r\n", - "container (0.1.16)\r\n", - "core (2.0.24)\r\n", - "cosmosdb (0.1.16)\r\n", - "dla (0.0.16)\r\n", - "dls (0.0.19)\r\n", - "eventgrid (0.1.7)\r\n", - "extension (0.0.7)\r\n", - "feedback (2.0.7)\r\n", - "find (0.2.8)\r\n", - "interactive (0.3.12)\r\n", - "iot (0.1.16)\r\n", - "keyvault (2.0.16)\r\n", - "lab (0.0.14)\r\n", - "monitor (0.0.14)\r\n", - "network (2.0.20)\r\n", - "nspkg (3.0.1)\r\n", - "profile (2.0.17)\r\n", - "rdbms (0.0.10)\r\n", - "redis (0.2.11)\r\n", - "reservations (0.1.1)\r\n", - "resource (2.0.20)\r\n", - "role (2.0.16)\r\n", - "servicefabric (0.0.8)\r\n", - "sql (2.0.18)\r\n", - "storage (2.0.22)\r\n", - "vm (2.0.23)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/mat/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Jan 5 2018, 21:18:08) \r\n", - "[GCC 4.8.4]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "# short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch{uuid}share\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location Name\r\n", - "---------- ---------------\r\n", - "eastus batchbd667ecbrg\r\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batchbd667ecbst provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join(json_data))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batchbd667ecbst\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=UxAzhXjN483duuqIMVtzQ2WbWjKeOzAmXlj73yy+6KS1rJKeMpS6fispOWio8/THrebD4sYsaikL/KJydZwHIw==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.844 MB; Average Speed:194.8 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 1.844 MB; Average Speed:160.99 KB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:40:35] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:15\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D' \\\n", - " --dest-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:42:30][WARNING] The command line \"--source \"https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz\" --destination \"https://batchbd667ecbst.blob.core.windows.net/batchbd667ecbcontainer/validation.tar.gz\" --source-sas ****** --dest-key ******\" in the journal file \"/home/mat/Microsoft/Azure/AzCopy/AzCopy.jnl\" is different from your input.\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:42:32][WARNING] Incomplete operation with different command line detected at the journal directory \"/home/mat/Microsoft/Azure/AzCopy\".\n", - "\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64 MB; Average Speed:1.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128 MB; Average Speed:3.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 192 MB; Average Speed:4.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 256 MB; Average Speed:5.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 320 MB; Average Speed:5.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 384 MB; Average Speed:6.39 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GB; Average Speed:17.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.063 GB; Average Speed:17.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.313 GB; Average Speed:18.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.563 GB; Average Speed:18.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.813 GB; Average Speed:19.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.875 GB; Average Speed:19.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.938 GB; Average Speed:19.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6 GB; Average Speed:19.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6.063 GB; Average Speed:19.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6.125 GB; Average Speed:19.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6.207 GB; Average Speed:19.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 6.207 GB; Average Speed:19.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:47:58] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:05:28\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64 MB; Average Speed:4.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128 MB; Average Speed:7.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 192 MB; Average Speed:9.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 256 MB; Average Speed:10.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 320 MB; Average Speed:11.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 384 MB; Average Speed:11.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 448 MB; Average Speed:12.41 MB/s. 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file(s), 8.313 GB; Average Speed:25.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 8.625 GB; Average Speed:26.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 8.875 GB; Average Speed:26.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 9.25 GB; Average Speed:27.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 9.625 GB; Average Speed:27.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 9.938 GB; Average Speed:27.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 10.25 GB; Average Speed:28.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 10.563 GB; Average Speed:28.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 10.875 GB; Average Speed:28.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 11.25 GB; Average Speed:29.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 11.563 GB; Average Speed:29.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 11.875 GB; Average Speed:29.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.188 GB; Average Speed:30.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.5 GB; Average Speed:30.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.813 GB; Average Speed:30.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.25 GB; Average Speed:31.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.625 GB; Average Speed:31.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.938 GB; Average Speed:31.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 14.25 GB; Average Speed:32.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 14.625 GB; Average Speed:32.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15 GB; Average Speed:32.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.375 GB; Average Speed:33.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.813 GB; Average Speed:33.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.188 GB; Average Speed:33.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.563 GB; Average Speed:34.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.875 GB; Average Speed:34.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 17.25 GB; Average Speed:34.49 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 17.688 GB; Average Speed:34.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.063 GB; Average Speed:35.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.438 GB; Average Speed:35.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.75 GB; Average Speed:35.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.125 GB; Average Speed:35.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.5 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.938 GB; Average Speed:36.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 20.375 GB; Average Speed:36.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 20.75 GB; Average Speed:36.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.063 GB; Average Speed:37.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.438 GB; Average Speed:37.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.938 GB; Average Speed:37.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.438 GB; Average Speed:38.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.75 GB; Average Speed:38.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.813 GB; Average Speed:35.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.875 GB; Average Speed:35.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.938 GB; Average Speed:35.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23 GB; Average Speed:34.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.063 GB; Average Speed:34.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.125 GB; Average Speed:34.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.188 GB; Average Speed:34.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.25 GB; Average Speed:33.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.313 GB; Average Speed:33.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.438 GB; Average Speed:33.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.5 GB; Average Speed:33.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.563 GB; Average Speed:32.96 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.688 GB; Average Speed:32.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.75 GB; Average Speed:32.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.813 GB; Average Speed:32.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.938 GB; Average Speed:32.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.063 GB; Average Speed:32.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.188 GB; Average Speed:31.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.313 GB; Average Speed:31.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.438 GB; Average Speed:31.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.563 GB; Average Speed:31.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.688 GB; Average Speed:31.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.813 GB; Average Speed:31.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.875 GB; Average Speed:31.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25 GB; Average Speed:31.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.125 GB; Average Speed:30.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.313 GB; Average Speed:30.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.5 GB; Average Speed:30.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.688 GB; Average Speed:30.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.875 GB; Average Speed:30.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.063 GB; Average Speed:30.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.25 GB; Average Speed:30.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.438 GB; Average Speed:30.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.563 GB; Average Speed:30.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.75 GB; Average Speed:30.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.938 GB; Average Speed:30.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.188 GB; Average Speed:30.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.438 GB; Average Speed:30.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.75 GB; Average Speed:30.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.938 GB; Average Speed:30.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.125 GB; Average Speed:30.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.375 GB; Average Speed:30.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.563 GB; Average Speed:30.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.813 GB; Average Speed:30.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 29 GB; Average Speed:30.79 MB/s. \u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 0 file(s), 29.25 GB; Average Speed:30.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 29.563 GB; Average Speed:30.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 29.875 GB; Average Speed:31.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.188 GB; Average Speed:31.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.5 GB; Average Speed:31.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.813 GB; Average Speed:31.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.063 GB; Average Speed:31.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.313 GB; Average Speed:31.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.563 GB; Average Speed:31.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.938 GB; Average Speed:31.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 32.313 GB; Average Speed:31.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 32.688 GB; Average Speed:31.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33 GB; Average Speed:32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.25 GB; Average Speed:32.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.563 GB; Average Speed:32.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.875 GB; Average Speed:32.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.313 GB; Average Speed:32.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.688 GB; Average Speed:32.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.125 GB; Average Speed:32.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.5 GB; Average Speed:32.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.875 GB; Average Speed:33.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.188 GB; Average Speed:33.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.5 GB; Average Speed:33.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.875 GB; Average Speed:33.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.188 GB; Average Speed:33.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.625 GB; Average Speed:33.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.125 GB; Average Speed:33.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.5 GB; Average Speed:33.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.875 GB; Average Speed:34.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.188 GB; Average Speed:34.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.563 GB; Average Speed:34.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40 GB; Average Speed:34.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.438 GB; Average Speed:34.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.875 GB; Average Speed:34.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.25 GB; Average Speed:34.88 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.563 GB; Average Speed:34.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.938 GB; Average Speed:35.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.313 GB; Average Speed:35.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.813 GB; Average Speed:35.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 43.313 GB; Average Speed:35.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 43.75 GB; Average Speed:35.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44 GB; Average Speed:35.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.313 GB; Average Speed:35.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.75 GB; Average Speed:35.96 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.063 GB; Average Speed:36.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.313 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.625 GB; Average Speed:36.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.875 GB; Average Speed:36.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.063 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.25 GB; Average Speed:35.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.438 GB; Average Speed:35.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.813 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.125 GB; Average Speed:36.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.438 GB; Average Speed:36.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.75 GB; Average Speed:36.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48 GB; Average Speed:36.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.313 GB; Average Speed:36.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.563 GB; Average Speed:36.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.813 GB; Average Speed:36.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.125 GB; Average Speed:36.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.5 GB; Average Speed:36.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.875 GB; Average Speed:36.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.25 GB; Average Speed:36.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.5 GB; Average Speed:36.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.813 GB; Average Speed:36.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.125 GB; Average Speed:36.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.5 GB; Average Speed:36.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.938 GB; Average Speed:36.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.313 GB; Average Speed:36.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.625 GB; Average Speed:36.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.938 GB; Average Speed:37.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.313 GB; Average Speed:37.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.625 GB; Average Speed:37.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54 GB; Average Speed:37.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.313 GB; Average Speed:37.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.688 GB; Average Speed:37.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55 GB; Average Speed:37.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.313 GB; Average Speed:37.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.688 GB; Average Speed:37.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.125 GB; Average Speed:37.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.5 GB; Average Speed:37.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.813 GB; Average Speed:37.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.188 GB; Average Speed:37.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.5 GB; Average Speed:37.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.875 GB; Average Speed:37.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.313 GB; Average Speed:38.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.813 GB; Average Speed:38.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.125 GB; Average Speed:38.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished: 0 file(s), 59.438 GB; Average Speed:38.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.813 GB; Average Speed:38.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.188 GB; Average Speed:38.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.563 GB; Average Speed:38.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61 GB; Average Speed:38.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61.5 GB; Average Speed:38.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62 GB; Average Speed:38.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.438 GB; Average Speed:38.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.813 GB; Average Speed:39.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.188 GB; Average Speed:39.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.625 GB; Average Speed:39.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.188 GB; Average Speed:39.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.688 GB; Average Speed:39.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.125 GB; Average Speed:39.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.563 GB; Average Speed:39.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66 GB; Average Speed:39.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.438 GB; Average Speed:39.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.875 GB; Average Speed:40.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.25 GB; Average Speed:40.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.625 GB; Average Speed:40.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.063 GB; Average Speed:40.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.438 GB; Average Speed:40.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.875 GB; Average Speed:40.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.25 GB; Average Speed:40.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.625 GB; Average Speed:40.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70 GB; Average Speed:40.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.375 GB; Average Speed:40.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.75 GB; Average Speed:40.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.188 GB; Average Speed:40.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.563 GB; Average Speed:40.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.875 GB; Average Speed:40.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.25 GB; Average Speed:40.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.625 GB; Average Speed:40.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73 GB; Average Speed:40.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.375 GB; Average Speed:41.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.688 GB; Average Speed:41.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.063 GB; Average Speed:41.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.438 GB; Average Speed:41.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.813 GB; Average Speed:41.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.188 GB; Average Speed:41.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.5 GB; Average Speed:41.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.875 GB; Average Speed:41.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.25 GB; Average Speed:41.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.563 GB; Average Speed:41.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.938 GB; Average Speed:41.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.25 GB; Average Speed:41.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.625 GB; Average Speed:41.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78 GB; Average Speed:41.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.313 GB; Average Speed:41.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.688 GB; Average Speed:41.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79 GB; Average Speed:41.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.313 GB; Average Speed:41.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.688 GB; Average Speed:41.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80 GB; Average Speed:41.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.375 GB; Average Speed:41.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.688 GB; Average Speed:41.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81 GB; Average Speed:41.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.313 GB; Average Speed:41.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.688 GB; Average Speed:41.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82 GB; Average Speed:41.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.313 GB; Average Speed:41.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.688 GB; Average Speed:41.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83 GB; Average Speed:41.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.313 GB; Average Speed:41.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.625 GB; Average Speed:41.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.938 GB; Average Speed:41.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.375 GB; Average Speed:42.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.813 GB; Average Speed:42.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.25 GB; Average Speed:42.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.625 GB; Average Speed:42.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.938 GB; Average Speed:42.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.313 GB; Average Speed:42.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.688 GB; Average Speed:42.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.188 GB; Average Speed:42.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.625 GB; Average Speed:42.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.125 GB; Average Speed:42.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.563 GB; Average Speed:42.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.938 GB; Average Speed:42.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.313 GB; Average Speed:42.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.75 GB; Average Speed:42.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.125 GB; Average Speed:42.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.5 GB; Average Speed:42.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.875 GB; Average Speed:42.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.313 GB; Average Speed:42.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.688 GB; Average Speed:43.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92 GB; Average Speed:43.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.375 GB; Average Speed:43.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.75 GB; Average Speed:43.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.125 GB; Average Speed:43.13 MB/s. \u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.5 GB; Average Speed:43.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.875 GB; Average Speed:43.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.188 GB; Average Speed:43.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.563 GB; Average Speed:43.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.938 GB; Average Speed:43.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.313 GB; Average Speed:43.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.625 GB; Average Speed:43.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96 GB; Average Speed:43.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.313 GB; Average Speed:43.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.688 GB; Average Speed:43.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.063 GB; Average Speed:43.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.375 GB; Average Speed:43.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.75 GB; Average Speed:43.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.063 GB; Average Speed:43.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.438 GB; Average Speed:43.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.75 GB; Average Speed:43.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.125 GB; Average Speed:43.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.438 GB; Average Speed:43.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.75 GB; Average Speed:43.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.125 GB; Average Speed:43.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.438 GB; Average Speed:43.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.813 GB; Average Speed:43.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.125 GB; Average Speed:43.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.5 GB; Average Speed:43.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.813 GB; Average Speed:43.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.125 GB; Average Speed:43.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.438 GB; Average Speed:43.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.813 GB; Average Speed:43.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.125 GB; Average Speed:43.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.438 GB; Average Speed:43.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.75 GB; Average Speed:43.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.063 GB; Average Speed:43.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.438 GB; Average Speed:43.77 MB/s. 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file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 16:41:01] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:50:56\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=qP%2B7lQuFKHo5UhQKpHcKt6p5fHT21lPaLz1O/vv4FNU%3D' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.739 MB; Average Speed:1.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 62.739 MB; Average Speed:1.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 19:06:13] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:51\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting nodeprep.sh\n" - ] - } - ], - "source": [ - "%%writefile nodeprep.sh\n", - "#!/usr/bin/env bash\n", - "mkdir -p $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "rsync --info=progress2 -r $AZ_BATCHAI_MOUNT_ROOT/extcn/ $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "cd $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "tar -xzf train.tar.gz\n", - "tar -xzf validation.tar.gz" - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source nodeprep.sh --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 262, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetEstimatorHorovod.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/timer.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 177, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "cluster_dict = {\n", - " \"properties\": {\n", - " \"nodeSetup\": {\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"runElevated\": True,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " }\n", - " }\n", - " }\n", - "} " - ] - }, - { - "cell_type": "code", - "execution_count": 178, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(cluster_dict, 'cluster.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 179, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\"properties\": {\"nodeSetup\": {\"setupTask\": {\"runElevated\": true, \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\", \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\"}}}}" - ] - } - ], - "source": [ - "!cat cluster.json" - ] - }, - { - "cell_type": "code", - "execution_count": 180, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"creationTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchbd667ecbrg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"containerName\": \"batchbd667ecbcontainer\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"azureFileUrl\": \"https://batchbd667ecbst.file.core.windows.net/batchbd667ecbshare\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"environmentVariables\": null,\n", - " \"runElevated\": true,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\"\n", - " }\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-04-15T19:16:09.744000+00:00\",\n", - " \"resourceGroup\": \"batchbd667ecbrg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 2\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24r \\\n", - "--min 2 --max 2 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--container-name $CONTAINER_NAME \\\n", - "--container-mount-path extcn \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key \\\n", - "-c cluster.json" - ] - }, - { - "cell_type": "code", - "execution_count": 181, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group_name\u001b[0m\n", - "{\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"creationTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchbd667ecbrg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"containerName\": \"batchbd667ecbcontainer\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"azureFileUrl\": \"https://batchbd667ecbst.file.core.windows.net/batchbd667ecbshare\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"environmentVariables\": null,\n", - " \"runElevated\": true,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\"\n", - " }\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-04-15T19:16:09.744000+00:00\",\n", - " \"resourceGroup\": \"batchbd667ecbrg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 2\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 263, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group\u001b[0m\n", - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\n", - "------ ---------------- -------------- ------- ------ --------- ----------- --------- ----------\n", - "nc24r batchbd667ecbrg STANDARD_NC24r steady 2 0 0 0 0\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 250, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group_name\u001b[0m\n", - "ID IP Port\n", - "--------------------------------- ------------- ------\n", - "tvm-3257026573_1-20180415t191744z 13.92.157.182 50001\n", - "tvm-3257026573_2-20180415t191744z 13.92.157.182 50000\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 264, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2017-09-01-preview/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 2,\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; \\\n", - " echo $AZ_BATCH_HOST_LIST; \\\n", - " mpirun -n 8 -ppn 4 -hosts $AZ_BATCH_HOST_LIST \\\n", - " -env I_MPI_FABRICS=dapl \\\n", - " -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 \\\n", - " -env I_MPI_DYNAMIC_CONNECTION=0 \\\n", - " -env DISTRIBUTED=True \\\n", - " -genvall \\\n", - " python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorHorovod.py\"\n", - " },\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"masalvar/horovod-intel\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 265, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 266, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchbd667ecbrg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batchbd667ecbrg\"\n", - " },\n", - " \"cntkSettings\": null,\n", - " \"constraints\": {\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"credentials\": null,\n", - " \"image\": \"masalvar/horovod-intel\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-04-16T08:23:02.996000+00:00\",\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; echo $AZ_BATCH_HOST_LIST; mpirun -n 8 -ppn 4 -hosts $AZ_BATCH_HOST_LIST -env I_MPI_FABRICS=dapl -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 -env I_MPI_DYNAMIC_CONNECTION=0 -env DISTRIBUTED=True -genvall python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorHorovod.py\"\n", - " },\n", - " \"environmentVariables\": null,\n", - " \"executionInfo\": {\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-04-16T08:23:04.612000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-04-16T08:23:04.668000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchbd667ecbrg/providers/Microsoft.BatchAI/jobs/horovod_benchmark\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\"\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\"\n", - " }\n", - " ],\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"name\": \"horovod_benchmark\",\n", - " \"nodeCount\": 2,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-04-16T08:23:03.783000+00:00\",\n", - " \"resourceGroup\": \"batchbd667ecbrg\",\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"custom\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai job create -n horovod_benchmark --cluster-name nc24r -c job.json" - ] - }, - { - "cell_type": "code", - "execution_count": 271, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group\u001b[0m\n", - "Name Resource Group Cluster Cluster RG Tool Nodes State\n", - "----------------- ---------------- --------- --------------- ------ ------- -------\n", - "horovod_benchmark batchbd667ecbrg nc24r batchbd667ecbrg custom 2 running\n" - ] - } - ], - "source": [ - " !az batchai job list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 272, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group\u001b[0m\n", - "[\n", - " {\n", - " \"contentLength\": 17324,\n", - " \"downloadUrl\": \"https://batchbd667ecbst.file.core.windows.net/batchbd667ecbshare/edf507a2-6235-46c5-b560-fd463ba2e771/batchbd667ecbrg/jobs/horovod_benchmark/f5801dba-80cf-461b-a879-cdaf1eae6f63/execution-tvm-3257026573_1-20180415t191744z.log?sv=2016-05-31&sr=f&sig=4F0ESXovbjeTvziPZbMIZWNVJ1sdj%2FeWHmHrKaYmzm4%3D&se=2018-04-16T09%3A36%3A44Z&sp=rl\",\n", - " \"lastModified\": \"2018-04-16T08:23:11+00:00\",\n", - " \"name\": \"execution-tvm-3257026573_1-20180415t191744z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 18127,\n", - " \"downloadUrl\": \"https://batchbd667ecbst.file.core.windows.net/batchbd667ecbshare/edf507a2-6235-46c5-b560-fd463ba2e771/batchbd667ecbrg/jobs/horovod_benchmark/f5801dba-80cf-461b-a879-cdaf1eae6f63/execution-tvm-3257026573_2-20180415t191744z.log?sv=2016-05-31&sr=f&sig=8dW4Vb0ZEDQSuCvaBHTmlJWC4S8kxpp96Xx2RuJpEOE%3D&se=2018-04-16T09%3A36%3A44Z&sp=rl\",\n", - " \"lastModified\": \"2018-04-16T08:23:12+00:00\",\n", - " \"name\": \"execution-tvm-3257026573_2-20180415t191744z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 45536,\n", - " \"downloadUrl\": \"https://batchbd667ecbst.file.core.windows.net/batchbd667ecbshare/edf507a2-6235-46c5-b560-fd463ba2e771/batchbd667ecbrg/jobs/horovod_benchmark/f5801dba-80cf-461b-a879-cdaf1eae6f63/stderr.txt?sv=2016-05-31&sr=f&sig=9PoY%2Frmdr9otx%2BnB2LzFczLFuqOSak7w%2BBj8xNt2ZDI%3D&se=2018-04-16T09%3A36%3A44Z&sp=rl\",\n", - " \"lastModified\": \"2018-04-16T08:36:17+00:00\",\n", - " \"name\": \"stderr.txt\"\n", - " },\n", - " {\n", - " \"contentLength\": 18,\n", - " \"downloadUrl\": \"https://batchbd667ecbst.file.core.windows.net/batchbd667ecbshare/edf507a2-6235-46c5-b560-fd463ba2e771/batchbd667ecbrg/jobs/horovod_benchmark/f5801dba-80cf-461b-a879-cdaf1eae6f63/stdout.txt?sv=2016-05-31&sr=f&sig=u0a7MR2S8reqR6WSRq8CkpXv3CT9F%2FM%2BWuOkZ0SaUTw%3D&se=2018-04-16T09%3A36%3A44Z&sp=rl\",\n", - " \"lastModified\": \"2018-04-16T08:23:12+00:00\",\n", - " \"name\": \"stdout.txt\"\n", - " }\n", - "]\n" - ] - } - ], - "source": [ - "!az batchai job list-files --name horovod_benchmark --output-directory-id stdouterr" - ] - }, - { - "cell_type": "code", - "execution_count": 273, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group\u001b[0m\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_log_step_count_steps': 100, '_global_id_in_cluster': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_save_checkpoints_steps': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_cluster_spec': , '_tf_random_seed': None, '_evaluation_master': '', '_service': None, '_save_summary_steps': 100, '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_task_id': 0, '_is_chief': True, '_num_worker_replicas': 1, '_keep_checkpoint_max': 5}\n", - "INFO:tensorflow:Using config: {'_log_step_count_steps': 100, '_global_id_in_cluster': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_save_checkpoints_steps': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_cluster_spec': , '_tf_random_seed': None, '_evaluation_master': '', '_service': None, '_save_summary_steps': 100, '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_task_id': 0, '_is_chief': True, '_num_worker_replicas': 1, '_keep_checkpoint_max': 5}\n", - "INFO:__main__:Rank: 2 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_num_ps_replicas': 0, '_task_type': 'worker', '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_log_step_count_steps': 100, '_num_worker_replicas': 1, '_save_checkpoints_secs': None, '_global_id_in_cluster': 0, '_keep_checkpoint_max': 5, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_is_chief': True, '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_tf_random_seed': None, '_save_summary_steps': 100, '_master': '', '_save_checkpoints_steps': 10000, '_task_id': 0}\n", - "INFO:tensorflow:Using config: {'_num_ps_replicas': 0, '_task_type': 'worker', '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_log_step_count_steps': 100, '_num_worker_replicas': 1, '_save_checkpoints_secs': None, '_global_id_in_cluster': 0, '_keep_checkpoint_max': 5, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_is_chief': True, '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_tf_random_seed': None, '_save_summary_steps': 100, '_master': '', '_save_checkpoints_steps': 10000, '_task_id': 0}\n", - "INFO:__main__:Rank: 3 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchbd667ecbrg/jobs/horovod_benchmark/f5801dba-80cf-461b-a879-cdaf1eae6f63/outputs/Models', '_task_id': 0, '_cluster_spec': , '_tf_random_seed': None, '_global_id_in_cluster': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_is_chief': True, '_master': '', '_keep_checkpoint_max': 5, '_save_checkpoints_steps': 10000, '_log_step_count_steps': 100, '_task_type': 'worker', '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_num_worker_replicas': 1, '_service': None, '_evaluation_master': '', '_num_ps_replicas': 0}\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchbd667ecbrg/jobs/horovod_benchmark/f5801dba-80cf-461b-a879-cdaf1eae6f63/outputs/Models', '_task_id': 0, '_cluster_spec': , '_tf_random_seed': None, '_global_id_in_cluster': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_is_chief': True, '_master': '', '_keep_checkpoint_max': 5, '_save_checkpoints_steps': 10000, '_log_step_count_steps': 100, '_task_type': 'worker', '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_num_worker_replicas': 1, '_service': None, '_evaluation_master': '', '_num_ps_replicas': 0}\n", - "INFO:__main__:Rank: 0 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_global_id_in_cluster': 0, '_is_chief': True, '_task_type': 'worker', '_evaluation_master': '', '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_num_ps_replicas': 0, '_cluster_spec': , '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_tf_random_seed': None, '_master': '', '_task_id': 0, '_keep_checkpoint_max': 5, '_log_step_count_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_service': None, '_save_checkpoints_secs': None, '_save_summary_steps': 100}\n", - "INFO:tensorflow:Using config: {'_global_id_in_cluster': 0, '_is_chief': True, '_task_type': 'worker', '_evaluation_master': '', '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_num_ps_replicas': 0, '_cluster_spec': , '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_tf_random_seed': None, '_master': '', '_task_id': 0, '_keep_checkpoint_max': 5, '_log_step_count_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_service': None, '_save_checkpoints_secs': None, '_save_summary_steps': 100}\n", - "INFO:__main__:Rank: 1 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_is_chief': True, '_save_checkpoints_steps': 10000, '_task_id': 0, '_evaluation_master': '', '_log_step_count_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_global_id_in_cluster': 0, '_num_ps_replicas': 0, '_master': '', '_cluster_spec': , '_task_type': 'worker', '_save_summary_steps': 100, '_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - "}\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_is_chief': True, '_save_checkpoints_steps': 10000, '_task_id': 0, '_evaluation_master': '', '_log_step_count_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_global_id_in_cluster': 0, '_num_ps_replicas': 0, '_master': '', '_cluster_spec': , '_task_type': 'worker', '_save_summary_steps': 100, '_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - "}\n", - "INFO:__main__:Rank: 3 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_log_step_count_steps': 100, '_save_checkpoints_steps': 10000, '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_task_type': 'worker', '_tf_random_seed': None, '_task_id': 0, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_cluster_spec': , '_keep_checkpoint_max': 5, '_is_chief': True, '_num_ps_replicas': 0, '_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_evaluation_master': '', '_num_worker_replicas': 1, '_master': ''}\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_log_step_count_steps': 100, '_save_checkpoints_steps': 10000, '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_task_type': 'worker', '_tf_random_seed': None, '_task_id': 0, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_cluster_spec': , '_keep_checkpoint_max': 5, '_is_chief': True, '_num_ps_replicas': 0, '_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_evaluation_master': '', '_num_worker_replicas': 1, '_master': ''}\n", - "INFO:__main__:Rank: 0 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_cluster_spec': , '_save_summary_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_evaluation_master': '', '_tf_random_seed': None, '_keep_checkpoint_max': 5, '_task_id': 0, '_log_step_count_steps': 100, '_num_ps_replicas': 0, '_global_id_in_cluster': 0, '_is_chief': True, '_save_checkpoints_steps': 10000, '_master': '', '_save_checkpoints_secs': None, '_service': None}\n", - "INFO:tensorflow:Using config: {'_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_cluster_spec': , '_save_summary_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_evaluation_master': '', '_tf_random_seed': None, '_keep_checkpoint_max': 5, '_task_id': 0, '_log_step_count_steps': 100, '_num_ps_replicas': 0, '_global_id_in_cluster': 0, '_is_chief': True, '_save_checkpoints_steps': 10000, '_master': '', '_save_checkpoints_secs': None, '_service': None}\n", - "INFO:__main__:Rank: 2 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_master': '', '_num_worker_replicas': 1, '_service': None, '_global_id_in_cluster': 0, '_save_summary_steps': 100, '_num_ps_replicas': 0, '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_save_checkpoints_steps': 10000, '_save_checkpoints_secs': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_tf_random_seed': None, '_cluster_spec': , '_task_type': 'worker', '_evaluation_master': '', '_is_chief': True}\n", - "INFO:tensorflow:Using config: {'_master': '', '_num_worker_replicas': 1, '_service': None, '_global_id_in_cluster': 0, '_save_summary_steps': 100, '_num_ps_replicas': 0, '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd', '_save_checkpoints_steps': 10000, '_save_checkpoints_secs': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_tf_random_seed': None, '_cluster_spec': , '_task_type': 'worker', '_evaluation_master': '', '_is_chief': True}\n", - "INFO:__main__:Rank: 1 Cluster Size 8\n", - "INFO:__main__:Training...\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:134: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-04-16 08:23:46.693464: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-04-16 08:23:46.837476: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-04-16 08:23:47.165066: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-04-16 08:23:47.642753: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 5a4c:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.10GiB\n", - "2018-04-16 08:23:47.642817: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-04-16 08:23:48.331095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 7588:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.10GiB\n", - "2018-04-16 08:23:48.331159: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-04-16 08:23:48.921766: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 2e7b:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.10GiB\n", - "2018-04-16 08:23:48.921830: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-04-16 08:23:48.928838: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-04-16 08:23:48.959762: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10764 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 5a4c:00:00.0, compute capability: 3.7)\n", - "2018-04-16 08:23:49.338421: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10764 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 7588:00:00.0, compute capability: 3.7)\n", - "2018-04-16 08:23:49.766539: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 4354:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.10GiB\n", - "2018-04-16 08:23:49.766651: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-04-16 08:23:49.845677: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10764 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 2e7b:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-04-16 08:23:49.957386: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-04-16 08:23:50.060618: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10764 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 4354:00:00.0, compute capability: 3.7)\n", - "2018-04-16 08:23:50.717114: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: edef:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.10GiB\n", - "2018-04-16 08:23:50.717176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-04-16 08:23:51.038594: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10764 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: edef:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-04-16 08:23:51.150822: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-04-16 08:23:51.202839: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-04-16 08:23:51.916715: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-04-16 08:23:52.033047: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: a1a6:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.10GiB\n", - "2018-04-16 08:23:52.033099: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-04-16 08:23:52.628609: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: d1d2:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.10GiB\n", - "2018-04-16 08:23:52.628684: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-04-16 08:23:53.296608: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: b922:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.10GiB\n", - "2018-04-16 08:23:53.296684: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-04-16 08:23:53.373211: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10764 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: a1a6:00:00.0, compute capability: 3.7)\n", - "2018-04-16 08:23:53.494208: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10764 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: d1d2:00:00.0, compute capability: 3.7)\n", - "2018-04-16 08:23:53.602115: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10764 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: b922:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchbd667ecbrg/jobs/horovod_benchmark/f5801dba-80cf-461b-a879-cdaf1eae6f63/outputs/Models/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchbd667ecbrg/jobs/horovod_benchmark/f5801dba-80cf-461b-a879-cdaf1eae6f63/outputs/Models/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark_f5801dba-80cf-461b-a879-cdaf1eae6f63/wd/model.ckpt.\n", - "INFO:tensorflow:loss = 7.9605937, step = 1\n", - "INFO:tensorflow:loss = 7.9605937, step = 1\n", - "INFO:tensorflow:loss = 8.1835575, step = 1\n", - "INFO:tensorflow:loss = 8.1835575, step = 1\n", - "INFO:tensorflow:loss = 7.9865656, step = 1\n", - "INFO:tensorflow:loss = 7.9865656, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.8942704\n", - "INFO:tensorflow:step = 1, loss = 7.8942704\n", - "INFO:tensorflow:step = 1, loss = 8.114977\n", - "INFO:tensorflow:step = 1, loss = 8.114977\n", - "INFO:tensorflow:loss = 8.341675, step = 1\n", - "INFO:tensorflow:loss = 8.341675, step = 1\n", - "INFO:tensorflow:loss = 8.381947, step = 1\n", - "INFO:tensorflow:loss = 8.381947, step = 1\n", - "INFO:tensorflow:loss = 8.027227, step = 1\n", - "INFO:tensorflow:loss = 8.027227, step = 1\n", - "INFO:tensorflow:global_step/sec: 0.535103\n", - "INFO:tensorflow:global_step/sec: 0.542003\n", - "INFO:tensorflow:global_step/sec: 0.542003\n", - "INFO:tensorflow:global_step/sec: 0.535103\n", - "INFO:tensorflow:global_step/sec: 0.547149\n", - "INFO:tensorflow:global_step/sec: 0.597925\n", - "INFO:tensorflow:global_step/sec: 0.547149\n", - "INFO:tensorflow:loss = 6.951743, step = 101 (184.502 sec)\n", - "INFO:tensorflow:loss = 6.951743, step = 101 (184.502 sec)\n", - "INFO:tensorflow:loss = 6.827218, step = 101 (186.881 sec)\n", - "INFO:tensorflow:loss = 6.827218, step = 101 (186.881 sec)\n", - "INFO:tensorflow:global_step/sec: 0.546852\n", - "INFO:tensorflow:loss = 6.877017, step = 101 (182.767 sec)\n", - "INFO:tensorflow:loss = 6.877017, step = 101 (182.767 sec)\n", - "INFO:tensorflow:global_step/sec: 0.546852\n", - "INFO:tensorflow:global_step/sec: 0.542243\n", - "INFO:tensorflow:global_step/sec: 0.542243\n", - "INFO:tensorflow:global_step/sec: 0.536651\n", - "INFO:tensorflow:step = 101, loss = 7.079547 (182.867 sec)\n", - "INFO:tensorflow:step = 101, loss = 7.079547 (182.867 sec)\n", - "INFO:tensorflow:global_step/sec: 0.536651\n", - "INFO:tensorflow:global_step/sec: 0.552526\n", - "INFO:tensorflow:step = 101, loss = 6.9078627 (184.422 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.9078627 (184.422 sec)\n", - "INFO:tensorflow:global_step/sec: 0.552526\n", - "INFO:tensorflow:loss = 6.9799767, step = 101 (186.344 sec)\n", - "INFO:tensorflow:loss = 6.9799767, step = 101 (186.344 sec)\n", - "INFO:tensorflow:loss = 6.932345, step = 101 (180.992 sec)\n", - "INFO:tensorflow:loss = 6.932345, step = 101 (180.992 sec)\n", - "INFO:tensorflow:global_step/sec: 0.597925\n", - "INFO:tensorflow:loss = 6.9318867, step = 101 (167.330 sec)\n", - "INFO:tensorflow:loss = 6.9318867, step = 101 (167.330 sec)\n", - "INFO:tensorflow:global_step/sec: 0.607394\n", - "INFO:tensorflow:global_step/sec: 0.607389\n", - "INFO:tensorflow:global_step/sec: 0.607394\n", - "INFO:tensorflow:global_step/sec: 0.607389\n", - "INFO:tensorflow:global_step/sec: 0.607392\n", - "INFO:tensorflow:global_step/sec: 0.607392\n", - "INFO:tensorflow:global_step/sec: 0.607378\n", - "INFO:tensorflow:step = 201, loss = 6.8238664 (164.636 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.8238664 (164.636 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.8481464 (164.637 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.8481464 (164.637 sec)\n", - "INFO:tensorflow:global_step/sec: 0.607376\n", - "INFO:tensorflow:global_step/sec: 0.607376\n", - "INFO:tensorflow:global_step/sec: 0.607378\n", - "INFO:tensorflow:global_step/sec: 0.607379\n", - "INFO:tensorflow:loss = 6.9066033, step = 201 (164.644 sec)\n", - "INFO:tensorflow:loss = 6.9035845, step = 201 (164.644 sec)\n", - "INFO:tensorflow:loss = 6.9066033, step = 201 (164.644 sec)\n", - "INFO:tensorflow:loss = 6.9035845, step = 201 (164.644 sec)\n", - "INFO:tensorflow:global_step/sec: 0.607371\n", - "INFO:tensorflow:global_step/sec: 0.607371\n", - "INFO:tensorflow:loss = 6.9039617, step = 201 (164.639 sec)\n", - "INFO:tensorflow:loss = 6.9039617, step = 201 (164.639 sec)\n", - "INFO:tensorflow:loss = 6.842002, step = 201 (164.646 sec)\n", - "INFO:tensorflow:loss = 6.842002, step = 201 (164.646 sec)\n", - "INFO:tensorflow:global_step/sec: 0.607342\n", - "INFO:tensorflow:global_step/sec: 0.607342\n", - "INFO:tensorflow:loss = 6.939661, step = 201 (164.651 sec)\n", - "INFO:tensorflow:loss = 6.939661, step = 201 (164.651 sec)\n", - "INFO:tensorflow:global_step/sec: 0.607379\n", - "INFO:tensorflow:loss = 6.861947, step = 201 (164.621 sec)\n", - "INFO:tensorflow:loss = 6.861947, step = 201 (164.621 sec)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "^C\r\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stderr.txt" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 274, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai job delete --name horovod_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": 275, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 176, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:py35]", - "language": "python", - "name": "conda-env-py35-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control/HorovodImagenetBatchAI-NFS.ipynb b/_tmp/control/HorovodImagenetBatchAI-NFS.ipynb deleted file mode 100644 index b1583a4..0000000 --- a/_tmp/control/HorovodImagenetBatchAI-NFS.ipynb +++ /dev/null @@ -1,1373 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mTo sign in, use a web browser to open the page https://microsoft.com/devicelogin and enter the code ABNVKQJ47 to authenticate.\u001b[0m\n", - "CloudName Name State TenantId IsDefault\n", - "----------- ----------------------------- ------- ------------------------------------ -----------\n", - "AzureCloud Boston DS Dev Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Azure Internal - London Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Danielle Internal Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47 True\n", - "AzureCloud Visual Studio Enterprise Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Boston Engineering Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ADLTrainingMS Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyExt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Ads Eng Big Data Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling Preview Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling development Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud AzureML Client PROD Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud R portal - Production Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyInt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Project Vienna Demo 1 Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Solution Template Testing Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Ilan Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Marketing Automation Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n" - ] - } - ], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "Name CloudName SubscriptionId State IsDefault\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\n", - "UST Container Registration AzureCloud 1f65a667-2b81-49ca-aea3-f8dd9fd3e1d9 Enabled\n", - "ASutton Subscription AzureCloud 10d0b7c6-9243-4713-91a9-2730375d3a1b Enabled\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.24)\r\n", - "\r\n", - "acr (2.0.18)\r\n", - "acs (2.0.23)\r\n", - "advisor (0.1.1)\r\n", - "appservice (0.1.23)\r\n", - "backup (1.0.4)\r\n", - "batch (3.1.8)\r\n", - "batchai (0.1.4)\r\n", - "billing (0.1.7)\r\n", - "cdn (0.0.11)\r\n", - "cloud (2.0.11)\r\n", - "cognitiveservices (0.1.10)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.13)\r\n", - "consumption (0.2.1)\r\n", - "container (0.1.16)\r\n", - "core (2.0.24)\r\n", - "cosmosdb (0.1.16)\r\n", - "dla (0.0.16)\r\n", - "dls (0.0.19)\r\n", - "eventgrid (0.1.7)\r\n", - "extension (0.0.7)\r\n", - "feedback (2.0.7)\r\n", - "find (0.2.8)\r\n", - "interactive (0.3.12)\r\n", - "iot (0.1.16)\r\n", - "keyvault (2.0.16)\r\n", - "lab (0.0.14)\r\n", - "monitor (0.0.14)\r\n", - "network (2.0.20)\r\n", - "nspkg (3.0.1)\r\n", - "profile (2.0.17)\r\n", - "rdbms (0.0.10)\r\n", - "redis (0.2.11)\r\n", - "reservations (0.1.1)\r\n", - "resource (2.0.20)\r\n", - "role (2.0.16)\r\n", - "servicefabric (0.0.8)\r\n", - "sql (2.0.18)\r\n", - "storage (2.0.22)\r\n", - "vm (2.0.23)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/mat/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Jan 5 2018, 21:18:08) \r\n", - "[GCC 4.8.4]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "short_uuid = str(uuid.uuid4())[:8]\n", - "short_uuid = 'fcab5890'\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch2{uuid}share\".format(uuid=short_uuid)\n", - "NFS_NAME=\"batch{uuid}nfs\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "Location Name\n", - "---------- ---------------\n", - "eastus batch6c03bc15rg\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batchfcab5890st provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join([i for i in json_data if 'WARNING' not in i]))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": false\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\r\n" - ] - } - ], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\r\n" - ] - } - ], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batchfcab5890st\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=qTUeM/dh+vIhiKcrYx3EkvJKEOACztR2D7GAxE/5bRXnkxdU1T3e1JyYmbL4Rr43AMt6NMYW3OXPrg0iiyLk1g==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you get an error when creating the NFS share below about permissions please run the command below\n", - "```bash\n", - "!az role assignment create --scope /subscriptions/ --role \"Network Contributor\" --assignee 9fcb3732-5f52-4135-8c08-9d4bbaf203ea\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"creationTime\": \"2018-05-13T19:07:20.915000+00:00\",\n", - " \"dataDisks\": {\n", - " \"cachingType\": \"none\",\n", - " \"diskCount\": 4,\n", - " \"diskSizeInGb\": 250,\n", - " \"storageAccountType\": \"Premium_LRS\"\n", - " },\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/fileservers/batchfcab5890nfs\",\n", - " \"location\": \"eastus\",\n", - " \"mountSettings\": {\n", - " \"fileServerInternalIp\": \"10.0.0.4\",\n", - " \"fileServerPublicIp\": \"40.114.69.36\",\n", - " \"fileServerType\": \"nfs\",\n", - " \"mountPoint\": \"/data\"\n", - " },\n", - " \"name\": \"batchfcab5890nfs\",\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-13T19:11:30.794000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"sshConfiguration\": {\n", - " \"publicIpsToAllow\": null,\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae/providers/Microsoft.Network/virtualNetworks/ecb3eec6-ae81-4fdb-8fb9-0a57266b20aevnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/FileServers\",\n", - " \"vmSize\": \"Standard_DS4_v2\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai file-server create -n $NFS_NAME --disk-count 4 --disk-size 250 -s Standard_DS4_v2 -u mat -p d13NHAL! -g $GROUP_NAME -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "Name Resource Group Size Disks Public IP Internal IP Type Mount Point\n", - "---------------- ---------------- --------------- ---------- ------------ ------------- ------ -------------\n", - "batchfcab5890nfs batchfcab5890rg Standard_DS4_v2 4 x 250 Gb 40.114.69.36 10.0.0.4 nfs /data\n" - ] - } - ], - "source": [ - "!az batchai file-server list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting nodeprep.sh\n" - ] - } - ], - "source": [ - "%%writefile nodeprep.sh\n", - "#!/usr/bin/env bash\n", - "wget https://gist.githubusercontent.com/msalvaris/073c28a9993d58498957294d20d74202/raw/916eefe763c71da49d8ed41cb8474bdc8021af33/install_azcopy\n", - "chmod 777 install_azcopy\n", - "sudo ./install_azcopy\n", - "\n", - "mkdir -p /data/imagenet\n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \\\n", - " --destination /data/imagenet/validation.csv\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D\"\\\n", - " --quiet\n", - " \n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz \\\n", - " --destination /data/imagenet/validation.tar.gz\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D\"\\\n", - " --quiet\n", - "\n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \\\n", - " --destination /data/imagenet/train.csv\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D\"\\\n", - " --quiet\n", - " \n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz \\\n", - " --destination /data/imagenet/train.tar.gz\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=qP%2B7lQuFKHo5UhQKpHcKt6p5fHT21lPaLz1O/vv4FNU%3D\"\\\n", - " --quiet\n", - " \n", - "cd /data/imagenet\n", - "tar -xvzf train.tar.gz\n", - "tar -xzvf validation.tar.gz" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Copy the file over and run it on the NFS VM. This will install azcopy and download and prepare the data\n", - "```bash\n", - "scp nodeprep.sh mat@:~/\n", - "ssh mat@ sudo chmod 777 ~/nodeprep.sh\n", - "ssh mat@ ./nodeprep.sh\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Writing docker.service\n" - ] - } - ], - "source": [ - "%%writefile docker.service\n", - "[Unit]\n", - "Description=Docker Application Container Engine\n", - "Documentation=https://docs.docker.com\n", - "After=network-online.target docker.socket firewalld.service\n", - "Wants=network-online.target\n", - "Requires=docker.socket\n", - "\n", - "[Service]\n", - "EnvironmentFile=/etc/default/docker\n", - "Type=notify\n", - "# the default is not to use systemd for cgroups because the delegate issues still\n", - "# exists and systemd currently does not support the cgroup feature set required\n", - "# for containers run by docker\n", - "ExecStart=/usr/bin/dockerd --default-shm-size 8G -g /mnt/docker/ -H fd://\n", - "ExecReload=/bin/kill -s HUP $MAINPID\n", - "LimitNOFILE=1048576\n", - "# Having non-zero Limit*s causes performance problems due to accounting overhead\n", - "# in the kernel. We recommend using cgroups to do container-local accounting.\n", - "LimitNPROC=infinity\n", - "LimitCORE=infinity\n", - "# Uncomment TasksMax if your systemd version supports it.\n", - "# Only systemd 226 and above support this version.\n", - "TasksMax=infinity\n", - "TimeoutStartSec=0\n", - "# set delegate yes so that systemd does not reset the cgroups of docker containers\n", - "Delegate=yes\n", - "# kill only the docker process, not all processes in the cgroup\n", - "KillMode=process\n", - "# restart the docker process if it exits prematurely\n", - "Restart=on-failure\n", - "StartLimitBurst=3\n", - "StartLimitInterval=60s\n", - "\n", - "[Install]\n", - "WantedBy=multi-user.target" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Writing pytorch_nodeprep.sh\n" - ] - } - ], - "source": [ - "%%writefile pytorch_nodeprep.sh\n", - "#!/usr/bin/env bash\n", - "sudo cp $AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/docker.service /lib/systemd/system\n", - "sudo systemctl daemon-reload\n", - "sudo systemctl restart docker" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "cluster_dict = {\n", - " \"properties\": {\n", - " \"nodeSetup\": {\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/pytorch_nodeprep.sh\",\n", - " \"runElevated\": True,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " }\n", - " }\n", - " }\n", - "} " - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(cluster_dict, 'cluster.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "Finished[#############################################################] 100.0000%\n" - ] - } - ], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source docker.service --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "Finished[#############################################################] 100.0000%\n" - ] - } - ], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source pytorch_nodeprep.sh --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "Finished[#############################################################] 100.0000%\n" - ] - } - ], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetPytorchHorovod.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "Finished[#############################################################] 100.0000%\n" - ] - } - ], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/timer.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"additionalProperties\": {},\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-05-30T12:46:59.250000+00:00\",\n", - " \"creationTime\": \"2018-05-30T12:46:59.250000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"additionalProperties\": {},\n", - " \"mountVolumes\": {\n", - " \"additionalProperties\": {},\n", - " \"azureBlobFileSystems\": null,\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"additionalProperties\": {},\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null,\n", - " \"additionalProperties\": {}\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"fileServer\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/fileservers/batchfcab5890nfs\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"mountOptions\": \"rw\",\n", - " \"relativeMountPath\": \"nfs\",\n", - " \"sourceDirectory\": null\n", - " }\n", - " ],\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"performanceCountersSettings\": null,\n", - " \"setupTask\": {\n", - " \"additionalProperties\": {},\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/pytorch_nodeprep.sh\",\n", - " \"environmentVariables\": null,\n", - " \"runElevated\": true,\n", - " \"secrets\": null,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"stdOutErrPathSuffix\": \"edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/clusters/nc24r/be198938-7cac-45bd-b1f0-83857ac16e2c\"\n", - " }\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"additionalProperties\": {},\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-30T12:47:01.573000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"additionalProperties\": {},\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 2\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae/providers/Microsoft.Network/virtualNetworks/ecb3eec6-ae81-4fdb-8fb9-0a57266b20aevnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"additionalProperties\": {},\n", - " \"imageReference\": {\n", - " \"additionalProperties\": {},\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\",\n", - " \"virtualMachineImageId\": null\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24RS_V3\"\n", - "}\n", - "\u001b[0m" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24rs_v3 \\\n", - "--min 2 --max 2 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key \\\n", - "--nfs $NFS_NAME \\\n", - "--nfs-mount-path nfs \\\n", - "-c cluster.json" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "{\n", - " \"additionalProperties\": {},\n", - " \"allocationState\": \"steady\",\n", - " \"allocationStateTransitionTime\": \"2018-05-30T10:49:37.635000+00:00\",\n", - " \"creationTime\": \"2018-05-30T10:47:13.589000+00:00\",\n", - " \"currentNodeCount\": 2,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"additionalProperties\": {},\n", - " \"mountVolumes\": {\n", - " \"additionalProperties\": {},\n", - " \"azureBlobFileSystems\": null,\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"additionalProperties\": {},\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null,\n", - " \"additionalProperties\": {}\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"fileServer\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/fileservers/batchfcab5890nfs\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"mountOptions\": \"rw\",\n", - " \"relativeMountPath\": \"nfs\",\n", - " \"sourceDirectory\": null\n", - " }\n", - " ],\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"performanceCountersSettings\": null,\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"additionalProperties\": {},\n", - " \"idleNodeCount\": 2,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-30T10:47:15.064000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"additionalProperties\": {},\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 2\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae/providers/Microsoft.Network/virtualNetworks/ecb3eec6-ae81-4fdb-8fb9-0a57266b20aevnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"additionalProperties\": {},\n", - " \"imageReference\": {\n", - " \"additionalProperties\": {},\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\",\n", - " \"virtualMachineImageId\": null\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24RS_V3\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\n", - "------ ---------------- ------------------ ------- ------ --------- ----------- --------- ----------\n", - "nc24r batchfcab5890rg STANDARD_NC24RS_V3 steady 2 0 0 0 0\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "ID IP Port\n", - "--------------------------------- -------------- ------\n", - "tvm-4155946844_1-20180530t124910z 23.101.137.108 50000\n", - "tvm-4155946844_2-20180530t124910z 23.101.137.108 50001\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2017-09-01-preview/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 2,\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; \\\n", - " echo $AZ_BATCH_HOST_LIST; \\\n", - " mpirun -n 2 -ppn 2 -hosts $AZ_BATCH_HOST_LIST \\\n", - " -env I_MPI_FABRICS=dapl \\\n", - " -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 \\\n", - " -env I_MPI_DYNAMIC_CONNECTION=0 \\\n", - " -env DISTRIBUTED=True \\\n", - " -genvall \\\n", - " python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetPytorchHorovod.py\"\n", - " },\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"masalvar/horovod-intel-pytorch\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"additionalProperties\": {},\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"cntkSettings\": null,\n", - " \"constraints\": {\n", - " \"additionalProperties\": {},\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"imageSourceRegistry\": {\n", - " \"additionalProperties\": {},\n", - " \"credentials\": null,\n", - " \"image\": \"masalvar/horovod-intel-pytorch\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-05-30T13:52:19.567000+00:00\",\n", - " \"customToolkitSettings\": {\n", - " \"additionalProperties\": {},\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; echo $AZ_BATCH_HOST_LIST; mpirun -n 2 -ppn 2 -hosts $AZ_BATCH_HOST_LIST -env I_MPI_FABRICS=dapl -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 -env I_MPI_DYNAMIC_CONNECTION=0 -env DISTRIBUTED=True -genvall python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetPytorchHorovod.py\"\n", - " },\n", - " \"environmentVariables\": null,\n", - " \"executionInfo\": {\n", - " \"additionalProperties\": {},\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-05-30T13:52:22.409000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-05-30T13:52:22.435000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/jobs/horovod_benchmark\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet\"\n", - " }\n", - " ],\n", - " \"jobOutputDirectoryPathSegment\": \"edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/dbf1c51e-3033-44ca-9287-ade5c385b8c4\",\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"mountVolumes\": null,\n", - " \"name\": \"horovod_benchmark\",\n", - " \"nodeCount\": 2,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-30T13:52:20.645000+00:00\",\n", - " \"pyTorchSettings\": null,\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"secrets\": null,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"custom\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n", - "\u001b[0m" - ] - } - ], - "source": [ - "!az batchai job create -n horovod_benchmark --cluster-name nc24r -c job.json" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "Name Resource Group Cluster Cluster RG Tool Nodes State Exit code\n", - "----------------- ---------------- --------- --------------- ------- ------- ------- -----------\n", - "pytorch_benchmark batchfcab5890rg nc24rv batchfcab5890rg pytorch 2 failed 255\n", - "horovod_benchmark batchfcab5890rg nc24r batchfcab5890rg custom 2 running\n" - ] - } - ], - "source": [ - "!az batchai job list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "[\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"contentLength\": 29546,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/dbf1c51e-3033-44ca-9287-ade5c385b8c4/stdouterr/execution-tvm-4155946844_1-20180530t124910z.log?sv=2016-05-31&sr=f&sig=b5o8DYJ73uGnwZn8SbHEuTXEh5joQERg1g5nPoICX4o%3D&se=2018-05-30T14%3A58%3A54Z&sp=rl\",\n", - " \"isDirectory\": false,\n", - " \"lastModified\": \"2018-05-30T13:54:06+00:00\",\n", - " \"name\": \"execution-tvm-4155946844_1-20180530t124910z.log\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"contentLength\": 28488,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/dbf1c51e-3033-44ca-9287-ade5c385b8c4/stdouterr/execution-tvm-4155946844_2-20180530t124910z.log?sv=2016-05-31&sr=f&sig=nNcb1doXFZEkmoj3%2BRzGu2hJeCtETGHEf4%2BxfTg6hAY%3D&se=2018-05-30T14%3A58%3A54Z&sp=rl\",\n", - " \"isDirectory\": false,\n", - " \"lastModified\": \"2018-05-30T13:54:05+00:00\",\n", - " \"name\": \"execution-tvm-4155946844_2-20180530t124910z.log\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"contentLength\": 592,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/dbf1c51e-3033-44ca-9287-ade5c385b8c4/stdouterr/stderr.txt?sv=2016-05-31&sr=f&sig=PEQpk3r53PI6iLI%2FDQR1g3drNsuHZCUq%2BSBQJxYBwJA%3D&se=2018-05-30T14%3A58%3A54Z&sp=rl\",\n", - " \"isDirectory\": false,\n", - " \"lastModified\": \"2018-05-30T13:54:39+00:00\",\n", - " \"name\": \"stderr.txt\"\n", - " },\n", - " {\n", - " \"additionalProperties\": {},\n", - " \"contentLength\": 18,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/dbf1c51e-3033-44ca-9287-ade5c385b8c4/stdouterr/stdout.txt?sv=2016-05-31&sr=f&sig=kJBOYU5E48Gh2CT9AX7rPDNs0NOVdpv6LnpDjQhaUmE%3D&se=2018-05-30T14%3A58%3A54Z&sp=rl\",\n", - " \"isDirectory\": false,\n", - " \"lastModified\": \"2018-05-30T13:54:06+00:00\",\n", - " \"name\": \"stdout.txt\"\n", - " }\n", - "]\n" - ] - } - ], - "source": [ - "!az batchai job file list --name horovod_benchmark --output-directory-id stdouterr" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\u001b[33mFile found with URL \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/dbf1c51e-3033-44ca-9287-ade5c385b8c4/stdouterr/stderr.txt?sv=2016-05-31&sr=f&sig=EcJb17trQw1jGpPuc3e36uhgsaYdmareCw7cJhOU8cM%3D&se=2018-05-30T15%3A28%3A51Z&sp=rl\". Start streaming\u001b[0m\n", - "INFO:__main__:Runnin Distributed\n", - "INFO:__main__:Runnin Distributed\n", - "INFO:__main__:PyTorch version 0.4.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:PyTorch version 0.4.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Setting up loaders\n", - "INFO:__main__:Loaded 1281167 labels and 1281167 images\n", - "INFO:__main__:Loading model\n", - "INFO:__main__:Setting up loaders\n", - "INFO:__main__:Loaded 1281167 labels and 1281167 images\n", - "INFO:__main__:Loading model\n", - "INFO:__main__:Training ...\n", - "INFO:__main__:Training ...\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job file stream --name horovod_benchmark --output-directory-id stdouterr --file-name stderr.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\u001b[33mFile found with URL \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/dbf1c51e-3033-44ca-9287-ade5c385b8c4/stdouterr/stdout.txt?sv=2016-05-31&sr=f&sig=HuMNZO5xeRJCBTGYSco3cvBQa7wjfTqvV8abC8wu1FM%3D&se=2018-05-30T14%3A59%3A34Z&sp=rl\". Start streaming\u001b[0m\n", - "10.0.0.5,10.0.0.6\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job file stream --name horovod_benchmark --output-directory-id stdouterr --file-name stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\u001b[K\u001b[0minished .." - ] - } - ], - "source": [ - "!az batchai job delete --name horovod_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUnable to load extension 'azure-cli-machinelearning'. Use --debug for more information.\u001b[0m\n", - "\u001b[K\u001b[0minished .." - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batch6c03bc15rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai file-server delete -n $NFS_NAME -y -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batch6c03bc15rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:py35]", - "language": "python", - "name": "conda-env-py35-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control/PrepareImagenetData.ipynb b/_tmp/control/PrepareImagenetData.ipynb deleted file mode 100644 index de860a6..0000000 --- a/_tmp/control/PrepareImagenetData.ipynb +++ /dev/null @@ -1,562 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "from scipy.io import loadmat\n", - "from os import path\n", - "import os\n", - "from toolz import juxt, compose\n", - "import pandas as pd\n", - "from glob import iglob\n", - "from itertools import chain" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_dir = path.join(os.getenv('AZ_BATCHAI_INPUT_DATASET'), 'imagenet')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data = loadmat(path.join(data_dir, 'ILSVRC2012_devkit_t12', 'data', 'meta.mat'))" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def _index_from(synset):\n", - " return synset[0][0][0][0]\n", - "\n", - "def _wnid_from(synset):\n", - " return str(synset[0][1][0])\n", - "\n", - "def _name_from(synset):\n", - " return str(synset[0][2][0])" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def _extract_from(synset):\n", - " extract = juxt(_index_from, _wnid_from, _name_from)\n", - " return extract(synset)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "label_list = list(map(_extract_from, data['synsets']))" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "df = pd.DataFrame(label_list, columns=('num_index', 'wnid', 'label')).set_index('num_index')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "train_dir=path.join(data_dir,'train')" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def _extract_to_directory(wnid):\n", - " out_dir = path.join(train_dir, wnid)\n", - " tar_file = path.join(train_dir, '{}.tar'.format(wnid))\n", - " print(out_dir)\n", - " !mkdir -p $out_dir\n", - " !tar -C $out_dir -xf $tar_file" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "filenames = [iglob(path.join(train_dir, wnid, '*.*')) for wnid in df.loc[1:1000]['wnid'].tolist()]" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "ff = list(chain(*filenames))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df = pd.DataFrame({'filenames':ff})" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "index_to_wnid_dict = df.loc[1:1000]['wnid'].to_dict()" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "wnid_labels = [path.split(name)[-1].split('_')[0] for name in ff]" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df = data_df.assign(wnid=wnid_labels)" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df = data_df.assign(num_id=data_df['wnid'].replace(to_replace=list(index_to_wnid_dict.values()), \n", - " value=list(index_to_wnid_dict.keys())))" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "extract_wnid_dir = compose(path.basename, path.dirname)" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "convert_filename = lambda x: path.join(extract_wnid_dir(x), path.basename(x))" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df=data_df.assign(filenames=data_df['filenames'].apply(convert_filename))" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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"cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [default]", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control/UploadData.ipynb b/_tmp/control/UploadData.ipynb deleted file mode 100644 index 60fc236..0000000 --- a/_tmp/control/UploadData.ipynb +++ /dev/null @@ -1,777 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import json" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "GROUP_NAME='datasharerg'\n", - "LOCATION='eastus'\n", - "STORAGE_ACCOUNT_NAME='datasharesa'\n", - "CONTAINER_NAME='imagenet'" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "Location Name\n", - "---------- -----------\n", - "eastus datasharerg\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account datasharesa provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join(json_data))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --name $CONTAINER_NAME --account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:43:38][WARNING] The command line \"--source \"/mnt/imagenet/train.tar.gz\" --destination \"https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz\" --dest-key ******\" in the journal file \"/home/mat/Microsoft/Azure/AzCopy/AzCopy.jnl\" is different from your input.\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:43:40][WARNING] Incomplete operation with different command line detected at the journal directory \"/home/mat/Microsoft/Azure/AzCopy\".\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4 MB; Average Speed:294.83 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 176 MB; Average Speed:11.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 340 MB; Average Speed:18.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 576 MB; Average Speed:28.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 968 MB; Average Speed:43.81 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 7.02 GB; Average Speed:73.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 7.313 GB; Average Speed:75.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 7.93 GB; Average Speed:79.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 8.184 GB; Average Speed:80.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 8.242 GB; Average Speed:79.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 8.75 GB; Average Speed:83.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 9.168 GB; Average Speed:85.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 9.422 GB; Average Speed:86.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 9.934 GB; Average Speed:89.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 10.309 GB; Average Speed:91.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 10.566 GB; Average Speed:91.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 10.984 GB; Average Speed:93.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 11.102 GB; Average Speed:93.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 11.457 GB; Average Speed:94.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 11.883 GB; Average Speed:96.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.223 GB; Average Speed:97.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.672 GB; Average Speed:99.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.16 GB; Average Speed:101.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.191 GB; Average Speed:100.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.664 GB; Average Speed:102.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.91 GB; Average Speed:102.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 14.121 GB; Average Speed:102.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 14.641 GB; Average Speed:105.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 14.887 GB; Average Speed:105.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.422 GB; Average Speed:107.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.523 GB; Average Speed:106.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.934 GB; Average Speed:108.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.262 GB; Average Speed:109.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.633 GB; Average Speed:110.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.855 GB; Average Speed:110.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 17.379 GB; Average Speed:112.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 17.613 GB; Average Speed:112.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 17.898 GB; Average Speed:112.47 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.102 GB; Average Speed:112.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.492 GB; Average Speed:113.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.93 GB; Average Speed:114.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.402 GB; Average Speed:116.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.727 GB; Average Speed:116.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 20.25 GB; Average Speed:118.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 20.418 GB; Average Speed:117.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 20.707 GB; Average Speed:118.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.176 GB; Average Speed:119.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.188 GB; Average Speed:118.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.547 GB; Average Speed:118.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.965 GB; Average Speed:119.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.184 GB; Average Speed:119.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.691 GB; Average Speed:121.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.227 GB; Average Speed:122.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.469 GB; Average Speed:122.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.828 GB; Average Speed:123.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.125 GB; Average Speed:123.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.137 GB; Average Speed:122.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.695 GB; Average Speed:124.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.988 GB; Average Speed:124.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.102 GB; Average Speed:123.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.613 GB; Average Speed:124.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.02 GB; Average Speed:125.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.445 GB; Average Speed:126.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.758 GB; Average Speed:126.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.137 GB; Average Speed:127.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.57 GB; Average Speed:128.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.977 GB; Average Speed:128.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.996 GB; Average Speed:127.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.453 GB; Average Speed:128.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.902 GB; Average Speed:129.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.961 GB; Average Speed:128.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 29.578 GB; Average Speed:130.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.035 GB; Average Speed:131.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.355 GB; Average Speed:131.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.832 GB; Average Speed:132.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.215 GB; Average Speed:132.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.285 GB; Average Speed:131.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.637 GB; Average Speed:132.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.641 GB; Average Speed:131.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 32.023 GB; Average Speed:131.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 32.121 GB; Average Speed:131.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 32.434 GB; Average Speed:131.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 32.77 GB; Average Speed:131.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.004 GB; Average Speed:131.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.305 GB; Average Speed:131.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.711 GB; Average Speed:132.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.191 GB; Average Speed:132.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.566 GB; Average Speed:133.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.828 GB; Average Speed:133.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.992 GB; Average Speed:132.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.555 GB; Average Speed:134.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.77 GB; Average Speed:133.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.926 GB; Average Speed:133.49 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.395 GB; Average Speed:134.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.727 GB; Average Speed:134.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.145 GB; Average Speed:135 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.285 GB; Average Speed:134.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.715 GB; Average Speed:135.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.07 GB; Average Speed:135.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.516 GB; Average Speed:136.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.621 GB; Average Speed:135.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.125 GB; Average Speed:136.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.227 GB; Average Speed:135.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.711 GB; Average Speed:136.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.039 GB; Average Speed:136.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.418 GB; Average Speed:136.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.656 GB; Average Speed:136.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.188 GB; Average Speed:137.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.395 GB; Average Speed:137.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.863 GB; Average Speed:138.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.223 GB; Average Speed:138.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.324 GB; Average Speed:137.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.844 GB; Average Speed:138.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 43.246 GB; Average Speed:138.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 43.648 GB; Average Speed:139.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.121 GB; Average Speed:140.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.504 GB; Average Speed:140.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.848 GB; Average Speed:140.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.152 GB; Average Speed:140.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.648 GB; Average Speed:141.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.023 GB; Average Speed:141.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.43 GB; Average Speed:141.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.883 GB; Average Speed:142.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.539 GB; Average Speed:143.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.543 GB; Average Speed:142.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.074 GB; Average Speed:143.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.246 GB; Average Speed:143.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.539 GB; Average Speed:143.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.938 GB; Average Speed:143.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.227 GB; Average Speed:143.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.633 GB; Average Speed:143.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.074 GB; Average Speed:144.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.316 GB; Average Speed:144.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.793 GB; Average Speed:144.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.117 GB; Average Speed:144.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.469 GB; Average Speed:144.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.559 GB; Average Speed:144.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.984 GB; Average Speed:144.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.234 GB; Average Speed:144.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.652 GB; Average Speed:144.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.676 GB; Average Speed:144.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.922 GB; Average Speed:144.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.422 GB; Average Speed:144.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.793 GB; Average Speed:144.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.867 GB; Average Speed:144.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.418 GB; Average Speed:145.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.469 GB; Average Speed:144.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.902 GB; Average Speed:144.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.258 GB; Average Speed:144.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.781 GB; Average Speed:145.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.918 GB; Average Speed:145.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.344 GB; Average Speed:145.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.422 GB; Average Speed:144.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.98 GB; Average Speed:145.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.398 GB; Average Speed:145.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.867 GB; Average Speed:146.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.117 GB; Average Speed:146.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.699 GB; Average Speed:147.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.117 GB; Average Speed:147.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.152 GB; Average Speed:146.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.648 GB; Average Speed:147.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.746 GB; Average Speed:146.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.18 GB; Average Speed:147.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.461 GB; Average Speed:147.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.953 GB; Average Speed:147.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61.289 GB; Average Speed:147.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61.582 GB; Average Speed:147.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.074 GB; Average Speed:148.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.133 GB; Average Speed:147.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.434 GB; Average Speed:147.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.746 GB; Average Speed:147.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.105 GB; Average Speed:147.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.559 GB; Average Speed:148.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.875 GB; Average Speed:148.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.168 GB; Average Speed:148.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.605 GB; Average Speed:148.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.863 GB; Average Speed:148.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.219 GB; Average Speed:148.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.555 GB; Average Speed:148.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.855 GB; Average Speed:148.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.145 GB; Average Speed:148.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.426 GB; Average Speed:148.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.863 GB; Average Speed:148.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.188 GB; Average Speed:148.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.316 GB; Average Speed:148.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.684 GB; Average Speed:148.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.977 GB; Average Speed:148.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.313 GB; Average Speed:148.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.516 GB; Average Speed:148.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.922 GB; Average Speed:148.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.281 GB; Average Speed:148.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.293 GB; Average Speed:148.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.578 GB; Average Speed:148.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.949 GB; Average Speed:148.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.141 GB; Average Speed:148.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.195 GB; Average Speed:147.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.785 GB; Average Speed:148.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.957 GB; Average Speed:148.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.395 GB; Average Speed:148.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.797 GB; Average Speed:148.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.145 GB; Average Speed:148.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.551 GB; Average Speed:148.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.555 GB; Average Speed:148.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.988 GB; Average Speed:148.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.336 GB; Average Speed:148.49 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.895 GB; Average Speed:149.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.051 GB; Average Speed:148.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.426 GB; Average Speed:148.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.746 GB; Average Speed:148.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.875 GB; Average Speed:148.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.414 GB; Average Speed:149.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.813 GB; Average Speed:149.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.227 GB; Average Speed:149.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.637 GB; Average Speed:149.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77 GB; Average Speed:149.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.359 GB; Average Speed:149.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.578 GB; Average Speed:149.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.094 GB; Average Speed:150.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.246 GB; Average Speed:149.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.844 GB; Average Speed:150.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.098 GB; Average Speed:150.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.422 GB; Average Speed:150.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.855 GB; Average Speed:150.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.953 GB; Average Speed:150.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.52 GB; Average Speed:150.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.84 GB; Average Speed:150.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.445 GB; Average Speed:151.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.727 GB; Average Speed:151.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.098 GB; Average Speed:151.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.469 GB; Average Speed:151.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.906 GB; Average Speed:151.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.43 GB; Average Speed:152.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.863 GB; Average Speed:152.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.242 GB; Average Speed:152.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.246 GB; Average Speed:152.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.688 GB; Average Speed:152.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.082 GB; Average Speed:152.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.441 GB; Average Speed:152.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.992 GB; Average Speed:152.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86 GB; Average Speed:152.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.453 GB; Average Speed:152.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.797 GB; Average Speed:152.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.207 GB; Average Speed:152.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.609 GB; Average Speed:153.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.926 GB; Average Speed:153.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.141 GB; Average Speed:152.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.727 GB; Average Speed:153.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.016 GB; Average Speed:153.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.484 GB; Average Speed:153.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.57 GB; Average Speed:153.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.164 GB; Average Speed:153.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.629 GB; Average Speed:154.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.77 GB; Average Speed:153.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.145 GB; Average Speed:153.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.492 GB; Average Speed:154 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.938 GB; Average Speed:154.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.297 GB; Average Speed:154.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.582 GB; Average Speed:154.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.879 GB; Average Speed:154.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.27 GB; Average Speed:154.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.602 GB; Average Speed:154.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.801 GB; Average Speed:154.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.191 GB; Average Speed:154.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.477 GB; Average Speed:154.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.859 GB; Average Speed:154.47 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.32 GB; Average Speed:154.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.453 GB; Average Speed:154.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.957 GB; Average Speed:154.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.238 GB; Average Speed:154.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.727 GB; Average Speed:154.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97 GB; Average Speed:154.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.172 GB; Average Speed:154.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.598 GB; Average Speed:154.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.91 GB; Average Speed:154.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.25 GB; Average Speed:154.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.652 GB; Average Speed:155.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.023 GB; Average Speed:155.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.027 GB; Average Speed:154.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.652 GB; Average Speed:155.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.113 GB; Average Speed:155.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.262 GB; Average Speed:155.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.559 GB; Average Speed:155.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.047 GB; Average Speed:155.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.391 GB; Average Speed:155.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.793 GB; Average Speed:155.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.234 GB; Average Speed:155.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.734 GB; Average Speed:156.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.07 GB; Average Speed:156.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.434 GB; Average Speed:156.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.863 GB; Average Speed:156.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.379 GB; Average Speed:156.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.934 GB; Average Speed:157.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.297 GB; Average Speed:157.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.648 GB; Average Speed:157.19 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 113.391 GB; Average Speed:157.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 113.609 GB; Average Speed:157.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 113.918 GB; Average Speed:157.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 114.309 GB; Average Speed:157.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 114.82 GB; Average Speed:158.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.133 GB; Average Speed:158.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.551 GB; Average Speed:158.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.609 GB; Average Speed:157.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.895 GB; Average Speed:157.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 116.207 GB; Average Speed:157.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 116.563 GB; Average Speed:157.92 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 127.566 GB; Average Speed:158.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 127.727 GB; Average Speed:158.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128.09 GB; Average Speed:158.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128.547 GB; Average Speed:158.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128.91 GB; Average Speed:158.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 129.398 GB; Average Speed:158.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 129.457 GB; Average Speed:158.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.117 GB; Average Speed:158.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.387 GB; Average Speed:158.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.684 GB; Average Speed:158.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.781 GB; Average Speed:158.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 131.125 GB; Average Speed:158.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 131.523 GB; Average Speed:158.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 131.527 GB; Average Speed:158.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 131.836 GB; Average Speed:158.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 132.16 GB; Average Speed:158.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 132.617 GB; Average Speed:158.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 133.043 GB; Average Speed:158.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 133.387 GB; Average Speed:158.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 133.734 GB; Average Speed:158.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 133.922 GB; Average Speed:158.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 134.281 GB; Average Speed:158.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 134.586 GB; Average Speed:158.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 134.875 GB; Average Speed:158.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 135.301 GB; Average Speed:158.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 135.753 GB; Average Speed:158.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 135.753 GB; Average Speed:157.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:58:26] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:14:48\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/train.tar.gz \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4 MB; Average Speed:423.95 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.739 MB; Average Speed:5.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 62.739 MB; Average Speed:4.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:59:27] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:18\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/train.csv \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4 MB; Average Speed:419.84 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 148 MB; Average Speed:12.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 500 MB; Average Speed:36.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.012 GB; Average Speed:65.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.137 GB; Average Speed:64.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.637 GB; Average Speed:83.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.672 GB; Average Speed:77.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.078 GB; Average Speed:88.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.648 GB; Average 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\u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:00:25] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:53\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/validation.tar.gz \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.844 MB; Average Speed:207.39 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 1.844 MB; Average Speed:169.18 KB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:01:02] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:15\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/validation.csv \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train')" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.28 KB; Average Speed:4.26 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1622 file(s), 189.129 MB; Average Speed:15.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 3032 file(s), 336.938 MB; Average Speed:24.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 4579 file(s), 541.24 MB; 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Average Speed:81.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 434704 file(s), 46.942 GB; Average Speed:81.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 436496 file(s), 47.14 GB; Average Speed:81.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 437752 file(s), 47.288 GB; Average Speed:81.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 439479 file(s), 47.48 GB; Average Speed:81.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 440851 file(s), 47.677 GB; Average Speed:81.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 441650 file(s), 47.805 GB; Average Speed:81.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 443575 file(s), 48.018 GB; Average Speed:81.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 445398 file(s), 48.147 GB; Average Speed:81.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 447310 file(s), 48.352 GB; Average Speed:81.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 448802 file(s), 48.508 GB; Average Speed:81.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 450489 file(s), 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GB; Average Speed:82.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 878745 file(s), 93.748 GB; Average Speed:82.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 880326 file(s), 93.905 GB; Average Speed:82.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 881774 file(s), 94.032 GB; Average Speed:82.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 883429 file(s), 94.239 GB; Average Speed:82.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 884959 file(s), 94.407 GB; Average Speed:82.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 886839 file(s), 94.689 GB; Average Speed:82.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 888652 file(s), 94.876 GB; Average Speed:82.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 890468 file(s), 95.035 GB; Average Speed:82.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 891708 file(s), 95.163 GB; Average Speed:82.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 893266 file(s), 95.348 GB; Average Speed:82.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 894577 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 911021 file(s), 97.267 GB; Average Speed:82.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 912400 file(s), 97.376 GB; Average Speed:82.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 914153 file(s), 97.503 GB; Average Speed:82.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 915818 file(s), 97.696 GB; Average Speed:82.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 917325 file(s), 97.872 GB; Average Speed:82.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 918793 file(s), 98.012 GB; Average Speed:82.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 920140 file(s), 98.134 GB; Average Speed:82.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 921775 file(s), 98.336 GB; Average Speed:82.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 923298 file(s), 98.485 GB; Average Speed:82.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 924663 file(s), 98.595 GB; Average Speed:82.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 926248 file(s), 98.815 GB; Average 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100.75 GB; Average Speed:82.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 945199 file(s), 100.916 GB; Average Speed:82.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 946605 file(s), 101.051 GB; Average Speed:82.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 948025 file(s), 101.201 GB; Average Speed:82.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 949614 file(s), 101.324 GB; Average Speed:82.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 951292 file(s), 101.456 GB; Average Speed:82.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 952849 file(s), 101.611 GB; Average Speed:82.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 954627 file(s), 101.798 GB; Average Speed:82.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 956147 file(s), 101.974 GB; Average Speed:82.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 957496 file(s), 102.162 GB; Average Speed:82.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 959104 file(s), 102.376 GB; Average Speed:82.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished: 960838 file(s), 102.541 GB; Average Speed:82.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 962665 file(s), 102.794 GB; Average Speed:82.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 964336 file(s), 102.958 GB; Average Speed:82.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 965861 file(s), 103.1 GB; Average Speed:82.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 967458 file(s), 103.27 GB; Average Speed:82.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 968846 file(s), 103.429 GB; Average Speed:82.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 969869 file(s), 103.53 GB; Average Speed:82.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 971511 file(s), 103.657 GB; Average Speed:82.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 973136 file(s), 103.845 GB; Average Speed:82.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 974775 file(s), 104.049 GB; Average Speed:82.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 976391 file(s), 104.216 GB; Average Speed:82.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 977598 file(s), 104.376 GB; Average Speed:82.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 979412 file(s), 104.562 GB; Average Speed:82.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 980842 file(s), 104.736 GB; Average Speed:82.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 982192 file(s), 104.907 GB; Average Speed:82.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 983605 file(s), 105.06 GB; Average Speed:82.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 985310 file(s), 105.253 GB; Average Speed:82.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 986908 file(s), 105.405 GB; Average Speed:82.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 988850 file(s), 105.602 GB; Average Speed:82.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 990388 file(s), 105.795 GB; Average Speed:82.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 991850 file(s), 105.981 GB; Average Speed:82.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 993449 file(s), 106.109 GB; Average Speed:82.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 995001 file(s), 106.316 GB; Average Speed:82.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 996627 file(s), 106.512 GB; Average Speed:82.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 998016 file(s), 106.623 GB; Average Speed:82.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 999431 file(s), 106.762 GB; Average Speed:82.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1001117 file(s), 106.902 GB; Average Speed:82.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1002424 file(s), 107.056 GB; Average Speed:82.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1004084 file(s), 107.246 GB; Average Speed:82.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1006231 file(s), 107.518 GB; Average Speed:82.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1007721 file(s), 107.733 GB; Average Speed:82.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 1026465 file(s), 110.021 GB; Average Speed:83.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1028037 file(s), 110.221 GB; Average Speed:83.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1028983 file(s), 110.309 GB; Average Speed:83.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1030484 file(s), 110.412 GB; Average Speed:83.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1031919 file(s), 110.54 GB; Average Speed:83.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1033353 file(s), 110.697 GB; Average Speed:83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1035174 file(s), 110.897 GB; Average Speed:83.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1036454 file(s), 111.03 GB; Average Speed:83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1038009 file(s), 111.213 GB; Average Speed:83.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1039787 file(s), 111.41 GB; Average Speed:83.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1041145 file(s), 111.558 GB; Average Speed:83.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1042692 file(s), 111.751 GB; Average Speed:83.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1044126 file(s), 111.931 GB; Average Speed:83.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1045555 file(s), 112.079 GB; Average Speed:83.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1047339 file(s), 112.226 GB; Average Speed:83.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1049143 file(s), 112.373 GB; Average Speed:83.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1050617 file(s), 112.522 GB; Average Speed:83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1052147 file(s), 112.617 GB; Average Speed:82.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1053722 file(s), 112.72 GB; Average Speed:82.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1055083 file(s), 112.824 GB; Average Speed:82.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1056547 file(s), 112.987 GB; Average Speed:82.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 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Average Speed:83.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1093997 file(s), 117.144 GB; Average Speed:83.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1095921 file(s), 117.353 GB; Average Speed:83.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1097592 file(s), 117.506 GB; Average Speed:83.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1099010 file(s), 117.673 GB; Average Speed:83.12 MB/s. \u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 1100364 file(s), 117.862 GB; Average Speed:83.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1102185 file(s), 118.043 GB; Average Speed:83.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1103937 file(s), 118.181 GB; Average Speed:83.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1105413 file(s), 118.339 GB; Average Speed:83.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1106893 file(s), 118.514 GB; Average Speed:83.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1108517 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Speed:83.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1243331 file(s), 132.896 GB; Average Speed:83.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1245074 file(s), 133.066 GB; Average Speed:83.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1246596 file(s), 133.184 GB; Average Speed:83.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1248089 file(s), 133.259 GB; Average Speed:83.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1249258 file(s), 133.352 GB; Average Speed:83.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1250835 file(s), 133.534 GB; Average Speed:83.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1252455 file(s), 133.729 GB; Average Speed:83.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1253962 file(s), 133.913 GB; Average Speed:83.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1255718 file(s), 134.067 GB; Average Speed:83.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1257373 file(s), 134.258 GB; Average Speed:83.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 1276251 file(s), 136.323 GB; Average Speed:83.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1277902 file(s), 136.511 GB; Average Speed:83.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1279439 file(s), 136.644 GB; Average Speed:83.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1281167 file(s), 136.819 GB; Average Speed:83.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1281167 of total 1281167 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/21 11:57:46] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1281167\n", - "Transfer successfully: 1281167\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:28:07\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/train \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet --recursive" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation')" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.602 KB; Average Speed:1.56 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1633 file(s), 203.104 MB; Average Speed:16.88 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 2603 file(s), 327.052 MB; Average Speed:23.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 4497 file(s), 572.907 MB; Average 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"outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n validation.csv --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n validation.tar.gz --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n train.csv --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=rw&sv=2017-04-17&sr=b&sig=ZvNReeGrtDS28Cs/0P08tzFMsmDa3mq5dBRnQPc35DM%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n train.tar.gz --permission rw --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=b1TyqISUPFbth6YhJNKtSgww8dhhM9jUpu7rsORmH2o%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n train --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n validation --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r\n", - "Command\r\n", - " az storage container generate-sas: Generates a shared access signature for the container.\r\n", - " Use the returned signature with the sas_token parameter of any BlobService.\r\n", - "\r\n", - "Arguments\r\n", - " --name -n [Required]: The container name.\r\n", - " --cache-control : Response header value for Cache-Control when resource is accessed using\r\n", - " this shared access signature.\r\n", - " --content-disposition: Response header value for Content-Disposition when resource is accessed\r\n", - " using this shared access signature.\r\n", - " --content-encoding : Response header value for Content-Encoding when resource is accessed\r\n", - " using this shared access signature.\r\n", - " --content-language : Response header value for Content-Language when resource is accessed\r\n", - " using this shared access signature.\r\n", - " --content-type : Response header value for Content-Type when resource is accessed using\r\n", - " this shared access signature.\r\n", - " --expiry : Specifies the UTC datetime (Y-m-d'T'H:M'Z') at which the SAS becomes\r\n", - " invalid. Do not use if a stored access policy is referenced with --id\r\n", - " that specifies this value.\r\n", - " --https-only : Only permit requests made with the HTTPS protocol. If omitted, requests\r\n", - " from both the HTTP and HTTPS protocol are permitted.\r\n", - " --ip : Specifies the IP address or range of IP addresses from which to accept\r\n", - " requests. Supports only IPv4 style addresses.\r\n", - " --permissions : The permissions the SAS grants. Allowed values: (d)elete (l)ist (r)ead\r\n", - " (w)rite. Do not use if a stored access policy is referenced with --id\r\n", - " that specifies this value. Can be combined.\r\n", - " --policy-name : The name of a stored access policy within the container's ACL.\r\n", - " --start : Specifies the UTC datetime (Y-m-d'T'H:M'Z') at which the SAS becomes\r\n", - " valid. Do not use if a stored access policy is referenced with --id that\r\n", - " specifies this value. Defaults to the time of the request.\r\n", - "\r\n", - "Storage Account Arguments\r\n", - " --account-key : Storage account key. Must be used in conjunction with storage account\r\n", - " name. Environment variable: AZURE_STORAGE_KEY.\r\n", - " --account-name : Storage account name. Related environment variable:\r\n", - " AZURE_STORAGE_ACCOUNT. Must be used in conjunction with either storage\r\n", - " account key or a SAS token. If neither are present, the command will try\r\n", - " to query the storage account key using the authenticated Azure account.\r\n", - " If a large number of storage commands are executed the API quota may be\r\n", - " hit.\r\n", - " --connection-string : Storage account connection string. Environment variable:\r\n", - " AZURE_STORAGE_CONNECTION_STRING.\r\n", - " --sas-token : A Shared Access Signature (SAS). Must be used in conjunction with storage\r\n", - " account name. Environment variable: AZURE_STORAGE_SAS_TOKEN.\r\n", - "\r\n", - "Global Arguments\r\n", - " --debug : Increase logging verbosity to show all debug logs.\r\n", - " --help -h : Show this help message and exit.\r\n", - " --output -o : Output format. Allowed values: json, jsonc, table, tsv. Default: json.\r\n", - " --query : JMESPath query string. See http://jmespath.org/ for more information and\r\n", - " examples.\r\n", - " --verbose : Increase logging verbosity. Use --debug for full debug logs.\r\n" - ] - } - ], - "source": [ - "!az storage container generate-sas --help" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=rl&sv=2017-04-17&sr=c&sig=AHbrRTNs7%2B%2BFi3rL%2BHs%2BbYjXDZLPWiXgWQwuhwmEo0A%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage container generate-sas -n $CONTAINER_NAME --expiry 2025-1-1 --permissions lr \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'datasharesa'" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'imagenet'" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "ename": "SyntaxError", - "evalue": "invalid syntax (, line 1)", - "output_type": "error", - "traceback": [ - "\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m https://datasharesa.blob.core.windows.net/imagenet?restype=container&comp=list&se=2025-01-01&sp=rl&sv=2017-04-17&sr=c&sig=AHbrRTNs7%2B%2BFi3rL%2BHs%2BbYjXDZLPWiXgWQwuhwmEo0A%3D\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" - ] - } - ], - "source": [ - "https://datasharesa.blob.core.windows.net/imagenet?restype=container&comp=list&se=2025-01-01&sp=rl&sv=2017-04-17&sr=c&sig=AHbrRTNs7%2B%2BFi3rL%2BHs%2BbYjXDZLPWiXgWQwuhwmEo0A%3D" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "https://datasharesa.blob.core.windows.net/imagenet/train.csv?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:py35]", - "language": "python", - "name": "conda-env-py35-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control_cntk/PrepareImagenetData.ipynb b/_tmp/control_cntk/PrepareImagenetData.ipynb deleted file mode 100644 index 5edffdf..0000000 --- a/_tmp/control_cntk/PrepareImagenetData.ipynb +++ /dev/null @@ -1,482 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import pandas as pd\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \\\n", - " --destination /data/imagenet/train.csv\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D\"\\\n", - " --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \\\n", - " --destination /data/imagenet/validation.csv\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D\"\\\n", - " --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "root_path = '/data/imagenet/'\n", - "train_path = root_path + 'train.csv'\n", - "val_path = root_path + 'validation.csv'" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Train set" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(1281167, 2)\n", - "1\n" - ] - }, - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " filenames num_id\n", - "0 /mnt/batch/tasks/shared/LS_root/mounts/imagene... 0\n", - "1 /mnt/batch/tasks/shared/LS_root/mounts/imagene... 0\n", - "2 /mnt/batch/tasks/shared/LS_root/mounts/imagene... 0\n", - "3 /mnt/batch/tasks/shared/LS_root/mounts/imagene... 0\n", - "4 /mnt/batch/tasks/shared/LS_root/mounts/imagene... 0" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "mnt_path = '/mnt/batch/tasks/shared/LS_root/mounts/imagenet/'\n", - "train['filenames'] = mnt_path + 'train/' + train['filenames']\n", - "train['num_id'] -= 1\n", - "train.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "train.to_csv('train_map.txt', header=False, index=False, sep='\\t')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Validation set" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(50000, 2)\n" - ] - }, - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " filenames num_id\n", - "0 ILSVRC2012_val_00000001.JPEG 490\n", - "1 ILSVRC2012_val_00000002.JPEG 361\n", - "2 ILSVRC2012_val_00000003.JPEG 171\n", - "3 ILSVRC2012_val_00000004.JPEG 822\n", - "4 ILSVRC2012_val_00000005.JPEG 297" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "val = pd.read_csv(val_path, usecols=['filenames','num_id'])\n", - "print(val.shape)\n", - "val.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " filenames num_id\n", - "0 /mnt/batch/tasks/shared/LS_root/mounts/imagene... 489\n", - "1 /mnt/batch/tasks/shared/LS_root/mounts/imagene... 360\n", - "2 /mnt/batch/tasks/shared/LS_root/mounts/imagene... 170\n", - "3 /mnt/batch/tasks/shared/LS_root/mounts/imagene... 821\n", - "4 /mnt/batch/tasks/shared/LS_root/mounts/imagene... 296" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "val['filenames'] = mnt_path + 'validation/' + val['filenames']\n", - "val['num_id'] -= 1\n", - "val.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [], - "source": [ - "val.to_csv('val_map.txt', header=False, index=False, sep='\\t')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### ImageNet mean values" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--2018-05-21 14:22:19-- https://raw.githubusercontent.com/Microsoft/CNTK/master/Examples/Image/DataSets/ImageNet/ImageNet1K_mean.xml\n", - "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.16.133\n", - "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.16.133|:443... connected.\n", - "HTTP request sent, awaiting response... 200 OK\n", - "Length: 2559185 (2.4M) [text/plain]\n", - "Saving to: ‘ImageNet1K_mean.xml’\n", - "\n", - "ImageNet1K_mean.xml 100%[===================>] 2.44M --.-KB/s in 0.1s \n", - "\n", - "2018-05-21 14:22:19 (18.8 MB/s) - ‘ImageNet1K_mean.xml’ saved [2559185/2559185]\n", - "\n" - ] - } - ], - "source": [ - "!wget https://raw.githubusercontent.com/Microsoft/CNTK/master/Examples/Image/DataSets/ImageNet/ImageNet1K_mean.xml" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control_tf/HorovodImagenetBatchAI-Blob.ipynb b/_tmp/control_tf/HorovodImagenetBatchAI-Blob.ipynb deleted file mode 100644 index ea4d232..0000000 --- a/_tmp/control_tf/HorovodImagenetBatchAI-Blob.ipynb +++ /dev/null @@ -1,3017 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mTo sign in, use a web browser to open the page https://microsoft.com/devicelogin and enter the code BSHR6F4TQ to authenticate.\u001b[0m\n", - "CloudName Name State TenantId IsDefault\n", - "----------- ----------------------------- ------- ------------------------------------ -----------\n", - "AzureCloud Boston DS Dev Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Azure Internal - London Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Danielle Internal Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47 True\n", - "AzureCloud Visual Studio Enterprise Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Boston Engineering Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ADLTrainingMS Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud UST Container Registration Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyExt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Ads Eng Big Data Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling Preview Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling development Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud AzureML Client PROD Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud R portal - Production Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyInt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Project Vienna Demo 1 Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ASutton Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Solution Template Testing Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Ilan Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Marketing Automation Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n" - ] - } - ], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.24)\r\n", - "\r\n", - "acr (2.0.18)\r\n", - "acs (2.0.23)\r\n", - "advisor (0.1.1)\r\n", - "appservice (0.1.23)\r\n", - "backup (1.0.4)\r\n", - "batch (3.1.8)\r\n", - "batchai (0.1.4)\r\n", - "billing (0.1.7)\r\n", - "cdn (0.0.11)\r\n", - "cloud (2.0.11)\r\n", - "cognitiveservices (0.1.10)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.13)\r\n", - "consumption (0.2.1)\r\n", - "container (0.1.16)\r\n", - "core (2.0.24)\r\n", - "cosmosdb (0.1.16)\r\n", - "dla (0.0.16)\r\n", - "dls (0.0.19)\r\n", - "eventgrid (0.1.7)\r\n", - "extension (0.0.7)\r\n", - "feedback (2.0.7)\r\n", - "find (0.2.8)\r\n", - "interactive (0.3.12)\r\n", - "iot (0.1.16)\r\n", - "keyvault (2.0.16)\r\n", - "lab (0.0.14)\r\n", - "monitor (0.0.14)\r\n", - "network (2.0.20)\r\n", - "nspkg (3.0.1)\r\n", - "profile (2.0.17)\r\n", - "rdbms (0.0.10)\r\n", - "redis (0.2.11)\r\n", - "reservations (0.1.1)\r\n", - "resource (2.0.20)\r\n", - "role (2.0.16)\r\n", - "servicefabric (0.0.8)\r\n", - "sql (2.0.18)\r\n", - "storage (2.0.22)\r\n", - "vm (2.0.23)\r\n", - "\r\n", - "Extensions:\r\n", - "azure-cli-machinelearning (0.0.97)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/mat/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Jan 5 2018, 21:18:08) \r\n", - "[GCC 4.8.4]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch{uuid}share\".format(uuid=short_uuid)\n", - "NFS_NAME=\"batch{uuid}nfs\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location Name\r\n", - "---------- ---------------\r\n", - "eastus batchfcab5890rg\r\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batchfcab5890st provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join([i for i in json_data if 'WARNING' not in i]))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batchfcab5890st\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=qTUeM/dh+vIhiKcrYx3EkvJKEOACztR2D7GAxE/5bRXnkxdU1T3e1JyYmbL4Rr43AMt6NMYW3OXPrg0iiyLk1g==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation')" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 129.578 KB; Average Speed:9.37 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 129.578 KB; Average Speed:8.17 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 326.544 KB; Average Speed:10.81 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 7 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 27605 file(s), 3.433 GB; Average Speed:9.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 27780 file(s), 3.453 GB; Average Speed:9.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 27938 file(s), 3.473 GB; Average Speed:9.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 28085 file(s), 3.493 GB; Average Speed:9.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 28252 file(s), 3.513 GB; Average Speed:9.51 MB/s. \u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 28412 file(s), 3.533 GB; Average Speed:9.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 28541 file(s), 3.554 GB; Average Speed:9.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 28712 file(s), 3.575 GB; Average Speed:9.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 28877 file(s), 3.595 GB; Average Speed:9.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 29046 file(s), 3.616 GB; Average Speed:9.53 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 42995 file(s), 5.367 GB; Average Speed:10.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 43205 file(s), 5.393 GB; Average Speed:10.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 43405 file(s), 5.418 GB; Average Speed:10.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 43588 file(s), 5.443 GB; Average Speed:10.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 43767 file(s), 5.465 GB; Average Speed:10.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 43983 file(s), 5.491 GB; Average Speed:10.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished: 44189 file(s), 5.515 GB; Average Speed:10.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 44369 file(s), 5.537 GB; Average Speed:10.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 44575 file(s), 5.561 GB; Average Speed:10.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 44755 file(s), 5.583 GB; Average Speed:10.09 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 46923 file(s), 5.857 GB; Average Speed:10.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 47073 file(s), 5.881 GB; Average Speed:10.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 47286 file(s), 5.905 GB; Average Speed:10.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 47494 file(s), 5.929 GB; Average Speed:10.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 47695 file(s), 5.954 GB; Average Speed:10.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 47884 file(s), 5.979 GB; Average Speed:10.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 48078 file(s), 6.004 GB; Average Speed:10.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 48259 file(s), 6.026 GB; Average Speed:10.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 48441 file(s), 6.05 GB; Average Speed:10.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 48629 file(s), 6.076 GB; Average Speed:10.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 48838 file(s), 6.101 GB; Average Speed:10.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49028 file(s), 6.127 GB; Average Speed:10.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49228 file(s), 6.152 GB; Average Speed:10.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49439 file(s), 6.176 GB; Average Speed:10.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49655 file(s), 6.202 GB; Average Speed:10.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49853 file(s), 6.227 GB; Average Speed:10.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49998 file(s), 6.246 GB; Average Speed:10.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49999 file(s), 6.246 GB; Average Speed:10.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 50000 file(s), 6.246 GB; Average Speed:10.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 50000 of total 50000 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/20 12:07:12] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 50000\n", - "Transfer successfully: 50000\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:10:32\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet --recursive " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1HFinished 0 of total 0 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/20 13:37:56] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 0\n", - "Transfer successfully: 0\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.01:25:20\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet --recursive --exclude-older" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.739 MB; Average Speed:2.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 62.739 MB; Average Speed:1.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/20 14:59:36] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:36\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.844 MB; Average Speed:186.67 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 1.844 MB; Average Speed:155.14 KB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/05/20 14:59:55] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:16\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \\\n", - " --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \\\n", - " --destination $destination_url \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetEstimatorHorovod.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/timer.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-05-20T15:32:13.933000+00:00\",\n", - " \"creationTime\": \"2018-05-20T15:32:13.933000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"containerName\": \"batchfcab5890container\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-20T15:32:17.762000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 8\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24r \\\n", - "--min 8 --max 8 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--container-name $CONTAINER_NAME \\\n", - "--container-mount-path extcn \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key " - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "{\n", - " \"allocationState\": \"steady\",\n", - " \"allocationStateTransitionTime\": \"2018-05-20T11:39:27.473000+00:00\",\n", - " \"creationTime\": \"2018-05-20T11:37:19.346000+00:00\",\n", - " \"currentNodeCount\": 8,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": null,\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": [\n", - " {\n", - " \"fileServer\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/fileservers/batchfcab5890nfs\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"mountOptions\": \"rw\",\n", - " \"relativeMountPath\": \"nfs\",\n", - " \"sourceDirectory\": null\n", - " }\n", - " ],\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 8,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-20T11:37:21.602000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 8\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae/providers/Microsoft.Network/virtualNetworks/ecb3eec6-ae81-4fdb-8fb9-0a57266b20aevnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\n", - "------ ---------------- -------------- ------- ------ --------- ----------- --------- ----------\n", - "nc24r batchfcab5890rg STANDARD_NC24r steady 8 0 0 0 0\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "ID IP Port\n", - "-------------------------------- -------------- ------\n", - "tvm-587366007_1-20180520t153402z 138.91.120.162 50001\n", - "tvm-587366007_2-20180520t153402z 138.91.120.162 50005\n", - "tvm-587366007_3-20180520t153402z 138.91.120.162 50000\n", - "tvm-587366007_4-20180520t153402z 138.91.120.162 50004\n", - "tvm-587366007_5-20180520t153402z 138.91.120.162 50003\n", - "tvm-587366007_6-20180520t153402z 138.91.120.162 50007\n", - "tvm-587366007_7-20180520t153402z 138.91.120.162 50002\n", - "tvm-587366007_8-20180520t153402z 138.91.120.162 50006\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2017-09-01-preview/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 8,\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; \\\n", - " echo $AZ_BATCH_HOST_LIST; \\\n", - " ls $AZ_BATCHAI_INPUT_TRAIN;\\\n", - " ls $AZ_BATCHAI_MOUNT_ROOT;\\\n", - " mpirun -n 32 -ppn 4 -hosts $AZ_BATCH_HOST_LIST \\\n", - " -env I_MPI_FABRICS=dapl \\\n", - " -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 \\\n", - " -env I_MPI_DYNAMIC_CONNECTION=0 \\\n", - " -env DISTRIBUTED=True \\\n", - " -genvall \\\n", - " python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorHorovod.py\"\n", - " },\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"masalvar/horovod-intel\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"cntkSettings\": null,\n", - " \"constraints\": {\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"credentials\": null,\n", - " \"image\": \"masalvar/horovod-intel\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-05-20T15:46:11.610000+00:00\",\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; echo $AZ_BATCH_HOST_LIST; ls $AZ_BATCHAI_INPUT_TRAIN; ls $AZ_BATCHAI_MOUNT_ROOT; mpirun -n 32 -ppn 4 -hosts $AZ_BATCH_HOST_LIST -env I_MPI_FABRICS=dapl -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 -env I_MPI_DYNAMIC_CONNECTION=0 -env DISTRIBUTED=True -genvall python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorHorovod.py\"\n", - " },\n", - " \"environmentVariables\": null,\n", - " \"executionInfo\": {\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-05-20T15:46:14.581000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-05-20T15:46:14.754000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/jobs/horovod_benchmark\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn\"\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extcn\"\n", - " }\n", - " ],\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"name\": \"horovod_benchmark\",\n", - " \"nodeCount\": 8,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-20T15:46:13.346000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"custom\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai job create -n horovod_benchmark --cluster-name nc24r -c job.json" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group Cluster Cluster RG Tool Nodes State Exit code\n", - "----------------- ---------------- --------- --------------- ------ ------- ------- -----------\n", - "horovod_benchmark batchfcab5890rg nc24r batchfcab5890rg custom 2 failed 1\n" - ] - } - ], - "source": [ - " !az batchai job list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "[\n", - " {\n", - " \"contentLength\": 25951,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/b3a500a7-1a70-4045-b8f7-d35f7a3c1240/execution-tvm-1392786932_1-20180520t144145z.log?sv=2016-05-31&sr=f&sig=vrOzOHpTPVXHiLwxkSB%2BH8xaCmnIrDXh4fFeHGkYBC4%3D&se=2018-05-20T16%3A04%3A03Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T15:02:34+00:00\",\n", - " \"name\": \"execution-tvm-1392786932_1-20180520t144145z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 24933,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/b3a500a7-1a70-4045-b8f7-d35f7a3c1240/execution-tvm-1392786932_2-20180520t144145z.log?sv=2016-05-31&sr=f&sig=IqJc5z0%2FsWwawHHwIJjChDogspPrG1nM%2FY5lY3VDYJk%3D&se=2018-05-20T16%3A04%3A03Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T15:02:27+00:00\",\n", - " \"name\": \"execution-tvm-1392786932_2-20180520t144145z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 25361,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/b3a500a7-1a70-4045-b8f7-d35f7a3c1240/execution-tvm-1392786932_3-20180520t144145z.log?sv=2016-05-31&sr=f&sig=NSro2e29%2Flrjk6Gz7K%2FV7UabCEXNOCI%2F46BTcyk0UeM%3D&se=2018-05-20T16%3A04%3A03Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T15:02:27+00:00\",\n", - " \"name\": \"execution-tvm-1392786932_3-20180520t144145z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 25134,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/b3a500a7-1a70-4045-b8f7-d35f7a3c1240/execution-tvm-1392786932_4-20180520t144145z.log?sv=2016-05-31&sr=f&sig=gH%2F0JT6l5KjiniXnPaJ7YnGArSQ6oiMXeizs7zvVrNo%3D&se=2018-05-20T16%3A04%3A03Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T15:02:29+00:00\",\n", - " \"name\": \"execution-tvm-1392786932_4-20180520t144145z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 25163,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/b3a500a7-1a70-4045-b8f7-d35f7a3c1240/execution-tvm-1392786932_5-20180520t144145z.log?sv=2016-05-31&sr=f&sig=ePgPdiJpDch42o1IVdaE74g%2BeKUWDiG9sIFBZGm%2FxNY%3D&se=2018-05-20T16%3A04%3A03Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T15:02:27+00:00\",\n", - " \"name\": \"execution-tvm-1392786932_5-20180520t144145z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 25454,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/b3a500a7-1a70-4045-b8f7-d35f7a3c1240/execution-tvm-1392786932_6-20180520t144145z.log?sv=2016-05-31&sr=f&sig=D0c8Nh4eRlqmTbIGhs7DqZQsLEskc6cTRAX8kxRIEjA%3D&se=2018-05-20T16%3A04%3A03Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T15:02:27+00:00\",\n", - " \"name\": \"execution-tvm-1392786932_6-20180520t144145z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 25592,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/b3a500a7-1a70-4045-b8f7-d35f7a3c1240/execution-tvm-1392786932_7-20180520t144145z.log?sv=2016-05-31&sr=f&sig=AlERh4Gtguo1SPcDA0yKH22OK1CWoPea0csMXkU7hPU%3D&se=2018-05-20T16%3A04%3A03Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T15:02:28+00:00\",\n", - " \"name\": \"execution-tvm-1392786932_7-20180520t144145z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 25179,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/b3a500a7-1a70-4045-b8f7-d35f7a3c1240/execution-tvm-1392786932_8-20180520t144145z.log?sv=2016-05-31&sr=f&sig=w6KZO0CvHr7ZQcgQlhmvL52Jk710cb%2BB%2F5ACvmVH0Zk%3D&se=2018-05-20T16%3A04%3A03Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T15:02:27+00:00\",\n", - " \"name\": \"execution-tvm-1392786932_8-20180520t144145z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 66044,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/b3a500a7-1a70-4045-b8f7-d35f7a3c1240/stderr.txt?sv=2016-05-31&sr=f&sig=%2FHqxeremEs2BZBQ4Dy2cr7D4wIeSW6Ly8nbCgXnJ4F0%3D&se=2018-05-20T16%3A04%3A03Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T15:02:34+00:00\",\n", - " \"name\": \"stderr.txt\"\n", - " },\n", - " {\n", - " \"contentLength\": 85,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/b3a500a7-1a70-4045-b8f7-d35f7a3c1240/stdout.txt?sv=2016-05-31&sr=f&sig=mAMzSjesjXM2OW8X70HMonzJe%2FWk%2F7Ls1sEJ83rE2VE%3D&se=2018-05-20T16%3A04%3A03Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-20T15:02:30+00:00\",\n", - " \"name\": \"stdout.txt\"\n", - " }\n", - "]\n" - ] - } - ], - "source": [ - "!az batchai job list-files --name horovod_benchmark --output-directory-id stdouterr" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training 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{\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_save_summary_steps': 100, '_save_checkpoints_secs': None, '_master': '', '_evaluation_master': '', '_log_step_count_steps': 100, '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_is_chief': True, '_task_type': 'worker', '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_global_id_in_cluster': 0, '_cluster_spec': , '_service': None, '_task_id': 0}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_save_checkpoints_steps': 10000, '_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - ", '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_service': None, '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_evaluation_master': '', '_global_id_in_cluster': 0, '_task_type': 'worker', '_save_checkpoints_secs': None, '_log_step_count_steps': 100, '_save_summary_steps': 100, '_is_chief': True, '_num_worker_replicas': 1, '_tf_random_seed': None, '_task_id': 0}\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\r\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_steps': 10000, '_save_checkpoints_secs': None, '_service': None, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"0\"\r\n", - "}\r\n", - ", '_num_ps_replicas': 0, '_tf_random_seed': None, '_num_worker_replicas': 1, '_master': '', '_log_step_count_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_keep_checkpoint_every_n_hours': 10000, '_save_summary_steps': 100, '_task_type': 'worker', '_evaluation_master': '', '_global_id_in_cluster': 0, '_keep_checkpoint_max': 5, '_task_id': 0, '_is_chief': True}\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_cluster_spec': , '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"3\"\r\n", - "}\r\n", - ", '_tf_random_seed': None, '_evaluation_master': '', '_save_checkpoints_steps': 10000, '_global_id_in_cluster': 0, '_service': None, '_log_step_count_steps': 100, '_master': '', '_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_save_summary_steps': 100, '_task_type': 'worker', '_is_chief': True, '_task_id': 0, '_keep_checkpoint_every_n_hours': 10000}\r\n", - "INFO:__main__:Rank: 3 Cluster Size 32\r\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:tensorflow:Using config: {'_evaluation_master': '', '_save_checkpoints_secs': None, '_task_type': 'worker', '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_cluster_spec': , '_is_chief': True, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_steps': 10000, '_task_id': 0, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_master': '', '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"2\"\r\n", - "}\r\n", - ", '_log_step_count_steps': 100, '_save_summary_steps': 100, '_service': None, '_tf_random_seed': None, '_keep_checkpoint_max': 5}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_is_chief': True, '_keep_checkpoint_every_n_hours': 10000, '_tf_random_seed': None, '_task_id': 0, '_master': '', '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_type': 'worker', '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"1\"\r\n", - "}\r\n", - ", '_service': None, '_log_step_count_steps': 100, '_num_ps_replicas': 0, '_cluster_spec': , '_keep_checkpoint_max': 5, '_save_checkpoints_secs': None, '_global_id_in_cluster': 0, '_evaluation_master': '', '_save_summary_steps': 100}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_every_n_hours': 10000, '_save_summary_steps': 100, '_evaluation_master': '', '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"2\"\r\n", - "}\r\n", - ", '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_master': '', '_save_checkpoints_steps': 10000, '_log_step_count_steps': 100, '_task_type': 'worker', '_tf_random_seed': None, '_num_ps_replicas': 0, '_task_id': 0, '_is_chief': True, '_cluster_spec': , '_num_worker_replicas': 1, '_service': None}\r\n", - "INFO:__main__:Rank: 1 Cluster Size 32\r\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:tensorflow:Using config: {'_is_chief': True, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_worker_replicas': 1, '_num_ps_replicas': 0, '_task_type': 'worker', '_global_id_in_cluster': 0, '_tf_random_seed': None, '_keep_checkpoint_max': 5, '_log_step_count_steps': 100, '_save_summary_steps': 100, '_service': None, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"3\"\r\n", - "}\r\n", - ", '_task_id': 0, '_save_checkpoints_steps': 10000, '_save_checkpoints_secs': None, '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_evaluation_master': '', '_cluster_spec': }\r\n", - "INFO:tensorflow:Using config: {'_evaluation_master': '', '_service': None, '_save_checkpoints_secs': None, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"0\"\r\n", - "}\r\n", - ", '_task_id': 0, '_save_checkpoints_steps': 10000, '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_cluster_spec': , '_save_summary_steps': 100, '_num_ps_replicas': 0, '_task_type': 'worker', '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_worker_replicas': 1, '_master': '', '_log_step_count_steps': 100, '_is_chief': True}\r\n", - "INFO:tensorflow:Using config: {'_is_chief': True, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"3\"\r\n", - "}\r\n", - ", '_num_worker_replicas': 1, '_tf_random_seed': None, '_task_id': 0, '_cluster_spec': , '_save_summary_steps': 100, '_save_checkpoints_secs': None, '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_log_step_count_steps': 100, '_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_service': None}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Rank: 3 Cluster Size 32\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:__main__:Rank: 3 Cluster Size 32\r\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_service': None, '_save_summary_steps': 100, '_log_step_count_steps': 100, '_evaluation_master': '', '_global_id_in_cluster': 0, '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_keep_checkpoint_every_n_hours': 10000, '_master': '', '_tf_random_seed': None, '_task_id': 0, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"3\"\r\n", - "}\r\n", - ", '_keep_checkpoint_max': 5, '_is_chief': True, '_num_ps_replicas': 0, '_save_checkpoints_secs': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_worker_replicas': 1}\r\n", - "INFO:tensorflow:Using config: {'_is_chief': True, '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_save_checkpoints_steps': 10000, '_task_type': 'worker', '_evaluation_master': '', '_cluster_spec': , '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_summary_steps': 100, '_service': None, '_task_id': 0, '_master': '', '_global_id_in_cluster': 0, '_num_worker_replicas': 1, '_save_checkpoints_secs': None, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"1\"\r\n", - "}\r\n", - ", '_tf_random_seed': None}\r\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\r\n", - "INFO:tensorflow:Using 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100, '_master': '', '_task_id': 0, '_tf_random_seed': None, '_is_chief': True, '_save_checkpoints_steps': 10000, '_task_type': 'worker', '_keep_checkpoint_max': 5, '_save_summary_steps': 100, '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_num_worker_replicas': 1, '_cluster_spec': , '_num_ps_replicas': 0, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"3\"\r\n", - "}\r\n", - "}\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 3 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_evaluation_master': '', '_num_ps_replicas': 0, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"1\"\r\n", - "}\r\n", - ", '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_master': '', '_service': None, '_num_worker_replicas': 1, '_task_id': 0, '_tf_random_seed': None, '_log_step_count_steps': 100, '_is_chief': True, '_keep_checkpoint_every_n_hours': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_summary_steps': 100, '_global_id_in_cluster': 0}\r\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_keep_checkpoint_max': 5, '_cluster_spec': , '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_global_id_in_cluster': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_secs': None, '_is_chief': True, '_master': '', '_evaluation_master': '', '_log_step_count_steps': 100, '_save_summary_steps': 100, '_service': None, '_tf_random_seed': None, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"3\"\r\n", - "}\r\n", - ", '_task_id': 0}\r\n", - "INFO:tensorflow:Using config: {'_service': None, '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_save_summary_steps': 100, '_task_id': 0, '_num_worker_replicas': 1, '_save_checkpoints_secs': None, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"0\"\r\n", - "}\r\n", - ", '_master': '', '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_max': 5, '_evaluation_master': '', '_save_checkpoints_steps': 10000, '_num_ps_replicas': 0, '_global_id_in_cluster': 0, '_task_type': 'worker', '_is_chief': True}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Rank: 1 Cluster Size 32\r\n", - "INFO:__main__:Rank: 3 Cluster Size 32\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:tensorflow:Using config: {'_log_step_count_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_evaluation_master': '', '_master': '', '_cluster_spec': , '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_num_ps_replicas': 0, '_save_summary_steps': 100, '_global_id_in_cluster': 0, '_task_type': 'worker', '_task_id': 0, '_keep_checkpoint_max': 5, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"2\"\r\n", - "}\r\n", - ", '_service': None, '_is_chief': True, '_num_worker_replicas': 1, '_save_checkpoints_secs': None}\r\n", - "INFO:tensorflow:Using config: {'_num_ps_replicas': 0, '_evaluation_master': '', '_save_checkpoints_steps': 10000, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"0\"\r\n", - "}\r\n", - ", '_tf_random_seed': None, '_master': '', '_save_checkpoints_secs': None, '_task_type': 'worker', '_model_dir': '/mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d520d680-e24c-4a23-8dde-c9d62f5b77cf/outputs/Models', '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_save_summary_steps': 100, '_num_worker_replicas': 1, '_keep_checkpoint_max': 5, '_is_chief': True, '_service': None, '_global_id_in_cluster': 0, '_task_id': 0, '_cluster_spec': }\r\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\r\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_num_worker_replicas': 1, '_master': '', '_evaluation_master': '', '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_global_id_in_cluster': 0, '_service': None, '_keep_checkpoint_every_n_hours': 10000, '_save_summary_steps': 100, '_save_checkpoints_secs': None, '_is_chief': True, '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_tf_random_seed': None, '_log_step_count_steps': 100, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"1\"\r\n", - "}\r\n", - ", '_task_type': 'worker', '_keep_checkpoint_max': 5}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:tensorflow:Using config: {'_evaluation_master': '', '_num_ps_replicas': 0, '_master': '', '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_task_id': 0, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"0\"\r\n", - "}\r\n", - ", '_log_step_count_steps': 100, '_save_checkpoints_steps': 10000, '_num_worker_replicas': 1, '_is_chief': True, '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_secs': None, '_cluster_spec': , '_tf_random_seed': None, '_save_summary_steps': 100, '_service': None}\r\n", - "INFO:__main__:Rank: 1 Cluster Size 32\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_task_type': 'worker', '_evaluation_master': '', '_num_ps_replicas': 0, '_service': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_max': 5, '_master': '', '_save_summary_steps': 100, '_save_checkpoints_secs': None, '_global_id_in_cluster': 0, '_task_id': 0, '_cluster_spec': , '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"2\"\r\n", - "}\r\n", - ", '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_is_chief': True, '_save_checkpoints_steps': 10000}\r\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_secs': None, '_task_type': 'worker', '_is_chief': True, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_evaluation_master': '', '_cluster_spec': , '_task_id': 0, '_keep_checkpoint_every_n_hours': 10000, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"1\"\r\n", - "}\r\n", - ", '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_master': '', '_keep_checkpoint_max': 5, '_num_worker_replicas': 1, '_save_summary_steps': 100, '_log_step_count_steps': 100, '_global_id_in_cluster': 0, '_service': None}\r\n", - "INFO:tensorflow:Using config: {'_task_id': 0, '_cluster_spec': , '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_keep_checkpoint_max': 5, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"1\"\r\n", - "}\r\n", - ", '_tf_random_seed': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_service': None, '_save_checkpoints_steps': 10000, '_master': '', '_global_id_in_cluster': 0, '_log_step_count_steps': 100, '_is_chief': True, '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_evaluation_master': ''}\r\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Rank: 1 Cluster Size 32\r\n", - "INFO:__main__:Rank: 1 Cluster Size 32\r\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_every_n_hours': 10000, '_master': '', '_save_summary_steps': 100, '_task_type': 'worker', '_log_step_count_steps': 100, '_num_ps_replicas': 0, '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_worker_replicas': 1, '_global_id_in_cluster': 0, '_evaluation_master': '', '_save_checkpoints_steps': 10000, '_keep_checkpoint_max': 5, '_save_checkpoints_secs': None, '_tf_random_seed': None, '_is_chief': True, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"0\"\r\n", - "}\r\n", - ", '_task_id': 0, '_service': None}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_secs': None, '_is_chief': True, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"3\"\r\n", - "}\r\n", - ", '_task_id': 0, '_cluster_spec': , '_num_ps_replicas': 0, '_evaluation_master': '', '_task_type': 'worker', '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_master': '', '_num_worker_replicas': 1, '_save_summary_steps': 100, '_global_id_in_cluster': 0, '_tf_random_seed': None, '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd'}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:tensorflow:Using config: {'_task_id': 0, '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_is_chief': True, '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_ps_replicas': 0, '_task_type': 'worker', '_save_checkpoints_secs': None, '_tf_random_seed': None, '_save_checkpoints_steps': 10000, '_cluster_spec': , '_num_worker_replicas': 1, '_evaluation_master': '', '_master': '', '_global_id_in_cluster': 0, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"1\"\r\n", - "}\r\n", - ", '_save_summary_steps': 100}\r\n", - "INFO:__main__:Rank: 3 Cluster Size 32\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 1 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_num_worker_replicas': 1, '_master': '', '_task_type': 'worker', '_save_summary_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_max': 5, '_service': None, '_save_checkpoints_secs': None, '_save_checkpoints_steps': 10000, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_is_chief': True, '_num_ps_replicas': 0, '_global_id_in_cluster': 0, '_evaluation_master': '', '_task_id': 0, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"0\"\r\n", - "}\r\n", - ", '_tf_random_seed': None}\r\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_max': 5, '_task_type': 'worker', '_tf_random_seed': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_ps_replicas': 0, '_task_id': 0, '_log_step_count_steps': 100, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"2\"\r\n", - "}\r\n", - ", '_save_checkpoints_secs': None, '_save_checkpoints_steps': 10000, '_num_worker_replicas': 1, '_global_id_in_cluster': 0, '_service': None, '_keep_checkpoint_every_n_hours': 10000, '_evaluation_master': '', '_cluster_spec': , '_master': '', '_is_chief': True, '_save_summary_steps': 100}\r\n", - "INFO:tensorflow:Using config: {'_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"2\"\r\n", - "}\r\n", - ", '_evaluation_master': '', '_save_checkpoints_steps': 10000, '_keep_checkpoint_every_n_hours': 10000, '_keep_checkpoint_max': 5, '_is_chief': True, '_task_type': 'worker', '_global_id_in_cluster': 0, '_save_summary_steps': 100, '_master': '', '_log_step_count_steps': 100, '_service': None, '_tf_random_seed': None, '_save_checkpoints_secs': None, '_num_worker_replicas': 1, '_task_id': 0, '_num_ps_replicas': 0, '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd'}\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\r\n", - "INFO:__main__:Rank: 0 Cluster Size 32\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_every_n_hours': 10000, '_service': None, '_task_id': 0, '_master': '', '_save_checkpoints_steps': 10000, '_tf_random_seed': None, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_evaluation_master': '', '_num_ps_replicas': 0, '_log_step_count_steps': 100, '_task_type': 'worker', '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"1\"\r\n", - "}\r\n", - ", '_save_summary_steps': 100, '_is_chief': True, '_save_checkpoints_secs': None, '_num_worker_replicas': 1}\r\n", - "INFO:tensorflow:Using config: {'_task_type': 'worker', '_num_ps_replicas': 0, '_evaluation_master': '', '_log_step_count_steps': 100, '_cluster_spec': , '_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_task_id': 0, '_num_worker_replicas': 1, '_is_chief': True, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_every_n_hours': 10000, '_session_config': gpu_options {\r\n", - " allow_growth: true\r\n", - " visible_device_list: \"2\"\r\n", - "}\r\n", - ", '_save_checkpoints_secs': None, '_service': None, '_save_checkpoints_steps': 10000, '_master': '', '_tf_random_seed': None}\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Rank: 1 Cluster Size 32\r\n", - "INFO:__main__:Rank: 2 Cluster Size 32\r\n", - "INFO:__main__:Training...\r\n", - "INFO:__main__:Training...\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "keep_dims is deprecated, use keepdims instead\r\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\r\n", - "Instructions for updating:\r\n", - "\r\n", - "Future major versions of TensorFlow will allow gradients to flow\r\n", - "into the labels input on backprop by default.\r\n", - "\r\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\r\n", - "\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Create CheckpointSaverHook.\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:44.246068: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:44.477612: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 8a3d:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\r\n", - "2018-05-20 15:48:44.477668: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:44.670024: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:44.734405: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 8a3d:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:44.865677: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 3490:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:44.865741: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:44.991631: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:45.090976: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:45.127723: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 3490:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:45.211188: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:45.221536: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 0114:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\r\n", - "2018-05-20 15:48:45.221590: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\r\n", - "2018-05-20 15:48:45.290919: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: a24a:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\r\n", - "2018-05-20 15:48:45.290980: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:45.377539: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:45.401997: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: a31b:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\r\n", - "2018-05-20 15:48:45.402056: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:45.482043: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:45.487197: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0114:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:45.543843: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: a24a:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:45.583451: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 4c02:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:45.583507: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:45.587569: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:45.667454: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: a31b:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:45.710172: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:45.713098: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 1eee:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:45.713154: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:45.789402: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:45.800610: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:45.807515: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: bae4:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:45.807569: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:45.836545: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:45.857003: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 4c02:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:45.931698: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: d4f3:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\r\n", - "2018-05-20 15:48:45.931751: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:45.952870: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:45.968061: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 1eee:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.025754: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: dd2f:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:46.023073: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.024321: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: adda:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\r\n", - "2018-05-20 15:48:46.024375: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\r\n", - "2018-05-20 15:48:46.025810: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\r\n", - "2018-05-20 15:48:46.043670: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: bae4:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:46.063555: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 6df5:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\r\n", - "2018-05-20 15:48:46.063610: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.137415: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.178553: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 50ef:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\r\n", - "2018-05-20 15:48:46.178609: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\r\n", - "2018-05-20 15:48:46.187261: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: d4f3:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.188806: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.211248: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 5292:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:46.211310: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\r\n", - "2018-05-20 15:48:46.266764: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: adda:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:46.272051: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: dd2f:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.288121: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.311304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 6df5:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.349620: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.371187: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: f558:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:46.371242: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.383987: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.403458: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: f2a0:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:46.403513: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\r\n", - "2018-05-20 15:48:46.421331: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 50ef:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.450913: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.471149: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 5292:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:46.510560: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 0076:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\r\n", - "2018-05-20 15:48:46.510621: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.520932: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.570469: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 9281:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:46.570526: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\r\n", - "2018-05-20 15:48:46.597554: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: c16f:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:46.597610: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\r\n", - "2018-05-20 15:48:46.609785: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: f558:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:46.636509: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 1fc3:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:46.636563: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.650790: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.659729: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: f2a0:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.675431: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.694053: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.709314: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 3921:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\r\n", - "2018-05-20 15:48:46.709371: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\r\n", - "2018-05-20 15:48:46.771689: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0076:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:46.820395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 9281:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:46.840356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: c16f:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.861790: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: d544:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\r\n", - "2018-05-20 15:48:46.861294: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.861844: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\r\n", - "2018-05-20 15:48:46.891348: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 1fc3:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:46.899373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 0800:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:46.899429: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\r\n", - "2018-05-20 15:48:46.906072: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: ce5b:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:46.906134: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.958439: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:46.974186: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 3921:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:46.990232: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:47.073932: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 2d6e:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:47.074012: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\r\n", - "2018-05-20 15:48:47.104536: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: d544:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:47.145561: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: ce5b:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:47.155033: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 89a5:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\r\n", - "2018-05-20 15:48:47.155094: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\r\n", - "2018-05-20 15:48:47.153152: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0800:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:47.184113: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 078e:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:47.184169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:47.262155: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:47.314051: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:47.324032: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:47.333876: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 2d6e:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:47.421208: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 89a5:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:47.426769: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:47.430176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 078e:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:47.457857: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 211b:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\r\n", - "2018-05-20 15:48:47.457914: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\r\n", - "2018-05-20 15:48:47.503278: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 78a9:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\r\n", - "2018-05-20 15:48:47.503334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\r\n", - "2018-05-20 15:48:47.549668: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 1a5d:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\r\n", - "2018-05-20 15:48:47.549733: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\r\n", - "2018-05-20 15:48:47.639286: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: 3587:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\r\n", - "2018-05-20 15:48:47.639344: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 15:48:47.706777: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n", - "2018-05-20 15:48:47.715818: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 211b:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:47.757326: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 78a9:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:47.806528: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 1a5d:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:47.904691: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \r\n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\r\n", - "pciBusID: e4ab:00:00.0\r\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\r\n", - "2018-05-20 15:48:47.904754: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\r\n", - "2018-05-20 15:48:47.909036: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 3587:00:00.0, compute capability: 3.7)\r\n", - "2018-05-20 15:48:48.149323: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: e4ab:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d520d680-e24c-4a23-8dde-c9d62f5b77cf/outputs/Models/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:loss = 7.7040877, step = 1\r\n", - "INFO:tensorflow:step = 1, loss = 7.9583664\r\n", - "INFO:tensorflow:step = 1, loss = 7.98248\r\n", - "INFO:tensorflow:loss = 8.16544, step = 1\r\n", - "INFO:tensorflow:loss = 7.910168, step = 1\r\n", - "INFO:tensorflow:step = 1, loss = 7.8816185\r\n", - "INFO:tensorflow:loss = 8.015908, step = 1\r\n", - "INFO:tensorflow:step = 1, loss = 8.348558\r\n", - "INFO:tensorflow:step = 1, loss = 7.638779\r\n", - "INFO:tensorflow:loss = 8.093533, step = 1\r\n", - "INFO:tensorflow:loss = 8.195007, step = 1\r\n", - "INFO:tensorflow:loss = 8.289511, step = 1\r\n", - "INFO:tensorflow:step = 1, loss = 8.222844\r\n", - "INFO:tensorflow:step = 1, loss = 8.189007\r\n", - "INFO:tensorflow:loss = 7.8291364, step = 1\r\n", - "INFO:tensorflow:loss = 8.040533, step = 1\r\n", - "INFO:tensorflow:step = 1, loss = 7.6250515\r\n", - "INFO:tensorflow:loss = 7.8577576, step = 1\r\n", - "INFO:tensorflow:step = 1, loss = 8.458992\r\n", - "INFO:tensorflow:step = 1, loss = 8.048639\r\n", - "INFO:tensorflow:step = 1, loss = 8.198133\r\n", - "INFO:tensorflow:step = 1, loss = 7.8162403\r\n", - "INFO:tensorflow:loss = 7.9101343, step = 1\r\n", - "INFO:tensorflow:loss = 8.173248, step = 1\r\n", - "INFO:tensorflow:step = 1, loss = 8.084876\r\n", - "INFO:tensorflow:loss = 7.7886434, step = 1\r\n", - "INFO:tensorflow:step = 1, loss = 8.0728855\r\n", - "INFO:tensorflow:loss = 8.368277, step = 1\r\n", - "INFO:tensorflow:loss = 7.848603, step = 1\r\n", - "INFO:tensorflow:step = 1, loss = 7.839529\r\n", - "INFO:tensorflow:step = 1, loss = 8.174208\r\n", - "INFO:tensorflow:loss = 8.093269, step = 1\r\n", - "INFO:tensorflow:global_step/sec: 0.436426\r\n", - "INFO:tensorflow:global_step/sec: 0.480285\r\n", - "INFO:tensorflow:global_step/sec: 0.43654\r\n", - "INFO:tensorflow:global_step/sec: 0.437642\r\n", - "INFO:tensorflow:global_step/sec: 0.443948\r\n", - "INFO:tensorflow:global_step/sec: 0.440688\r\n", - "INFO:tensorflow:global_step/sec: 0.448262\r\n", - "INFO:tensorflow:global_step/sec: 0.464035\r\n", - "INFO:tensorflow:global_step/sec: 0.445193\r\n", - "INFO:tensorflow:global_step/sec: 0.440648\r\n", - "INFO:tensorflow:global_step/sec: 0.451666\r\n", - "INFO:tensorflow:global_step/sec: 0.456913\r\n", - "INFO:tensorflow:global_step/sec: 0.449706\r\n", - "INFO:tensorflow:global_step/sec: 0.449749\r\n", - "INFO:tensorflow:global_step/sec: 0.461066\r\n", - "INFO:tensorflow:global_step/sec: 0.446388\r\n", - "INFO:tensorflow:global_step/sec: 0.451526\r\n", - "INFO:tensorflow:global_step/sec: 0.437031\r\n", - "INFO:tensorflow:global_step/sec: 0.457994\r\n", - "INFO:tensorflow:step = 101, loss = 6.7045994 (228.498 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.459014\r\n", - "INFO:tensorflow:global_step/sec: 0.443405\r\n", - "INFO:tensorflow:global_step/sec: 0.454226\r\n", - "INFO:tensorflow:global_step/sec: 0.455938\r\n", - "INFO:tensorflow:global_step/sec: 0.458212\r\n", - "INFO:tensorflow:global_step/sec: 0.443812\r\n", - "INFO:tensorflow:global_step/sec: 0.445163\r\n", - "INFO:tensorflow:loss = 6.83483, step = 101 (218.861 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.7437 (222.369 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.446541\r\n", - "INFO:tensorflow:loss = 6.7258854, step = 101 (220.155 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.744828 (215.502 sec)\r\n", - "INFO:tensorflow:loss = 6.867761, step = 101 (229.134 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.733882 (226.939 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.7901077 (229.074 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.45015\r\n", - "INFO:tensorflow:loss = 6.747403, step = 101 (225.252 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.748433 (222.347 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.8266625 (216.889 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.8565407 (219.329 sec)\r\n", - "INFO:tensorflow:loss = 6.7650404, step = 101 (224.622 sec)\r\n", - "INFO:tensorflow:loss = 6.8994527, step = 101 (228.818 sec)\r\n", - "INFO:tensorflow:loss = 6.7255287, step = 101 (221.404 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.8502545 (222.150 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.437334\r\n", - "INFO:tensorflow:step = 101, loss = 6.6633506 (226.919 sec)\r\n", - "INFO:tensorflow:loss = 6.9545107, step = 101 (223.085 sec)\r\n", - "INFO:tensorflow:loss = 6.7461157, step = 101 (224.021 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.6754265 (221.472 sec)\r\n", - "INFO:tensorflow:loss = 6.727671, step = 101 (225.322 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.598608 (224.638 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.444586\r\n", - "INFO:tensorflow:loss = 6.6948996, step = 101 (217.860 sec)\r\n", - "INFO:tensorflow:loss = 6.9137983, step = 101 (225.528 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.438416\r\n", - "INFO:tensorflow:global_step/sec: 0.436686\r\n", - "INFO:tensorflow:loss = 6.6745653, step = 101 (218.240 sec)\r\n", - "INFO:tensorflow:loss = 6.8948116, step = 101 (208.420 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.66923 (218.345 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.709978 (224.930 sec)\r\n", - "INFO:tensorflow:loss = 6.8003407, step = 101 (228.659 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.733932 (223.944 sec)\r\n", - "INFO:tensorflow:loss = 6.7993364, step = 101 (228.094 sec)\r\n", - "INFO:tensorflow:step = 101, loss = 6.920524 (229.000 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.519177\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:global_step/sec: 0.519178\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:global_step/sec: 0.519173\r\n", - "INFO:tensorflow:global_step/sec: 0.519175\r\n", - "INFO:tensorflow:global_step/sec: 0.519177\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:global_step/sec: 0.519181\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:global_step/sec: 0.519175\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:global_step/sec: 0.519173\r\n", - "INFO:tensorflow:global_step/sec: 0.519175\r\n", - "INFO:tensorflow:global_step/sec: 0.519175\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:global_step/sec: 0.519175\r\n", - "INFO:tensorflow:global_step/sec: 0.519175\r\n", - "INFO:tensorflow:global_step/sec: 0.519175\r\n", - "INFO:tensorflow:global_step/sec: 0.519218\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:global_step/sec: 0.519173\r\n", - "INFO:tensorflow:global_step/sec: 0.519246\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:loss = 6.471501, step = 201 (192.612 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.460477 (192.613 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.519179\r\n", - "INFO:tensorflow:step = 201, loss = 6.6019797 (192.613 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.3895283 (192.613 sec)\r\n", - "INFO:tensorflow:loss = 6.5959773, step = 201 (192.613 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.519173\r\n", - "INFO:tensorflow:loss = 6.3371534, step = 201 (192.613 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.458744 (192.613 sec)\r\n", - "INFO:tensorflow:loss = 6.343944, step = 201 (192.613 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.43685 (192.614 sec)\r\n", - "INFO:tensorflow:loss = 6.318463, step = 201 (192.613 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.54259 (192.613 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.0153275 (192.613 sec)\r\n", - "INFO:tensorflow:loss = 6.4185405, step = 201 (192.613 sec)\r\n", - "INFO:tensorflow:loss = 6.467268, step = 201 (192.613 sec)\r\n", - "INFO:tensorflow:loss = 6.388953, step = 201 (192.613 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.4408464 (192.612 sec)\r\n", - "INFO:tensorflow:loss = 6.1300316, step = 201 (192.614 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.519176\r\n", - "INFO:tensorflow:step = 201, loss = 6.4358835 (192.614 sec)\r\n", - "INFO:tensorflow:loss = 6.5152664, step = 201 (192.587 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.402653 (192.610 sec)\r\n", - "INFO:tensorflow:loss = 6.4592075, step = 201 (192.613 sec)\r\n", - "INFO:tensorflow:loss = 6.623614, step = 201 (192.659 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.470346 (192.612 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.4259377 (192.611 sec)\r\n", - "INFO:tensorflow:loss = 6.549815, step = 201 (192.613 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.51917\r\n", - "INFO:tensorflow:global_step/sec: 0.519151\r\n", - "INFO:tensorflow:step = 201, loss = 6.3328195 (192.613 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.3648615 (192.613 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.5195484 (192.597 sec)\r\n", - "INFO:tensorflow:loss = 6.205744, step = 201 (192.613 sec)\r\n", - "INFO:tensorflow:loss = 6.5344296, step = 201 (192.617 sec)\r\n", - "INFO:tensorflow:loss = 6.580216, step = 201 (192.623 sec)\r\n", - "INFO:tensorflow:step = 201, loss = 6.466669 (192.614 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503024\r\n", - "INFO:tensorflow:global_step/sec: 0.503025\r\n", - "INFO:tensorflow:global_step/sec: 0.503022\r\n", - "INFO:tensorflow:global_step/sec: 0.503024\r\n", - "INFO:tensorflow:global_step/sec: 0.503023\r\n", - "INFO:tensorflow:global_step/sec: 0.503024\r\n", - "INFO:tensorflow:global_step/sec: 0.503023\r\n", - "INFO:tensorflow:global_step/sec: 0.503024\r\n", - "INFO:tensorflow:global_step/sec: 0.503023\r\n", - "INFO:tensorflow:global_step/sec: 0.503026\r\n", - "INFO:tensorflow:global_step/sec: 0.503023\r\n", - "INFO:tensorflow:global_step/sec: 0.503024\r\n", - "INFO:tensorflow:global_step/sec: 0.503023\r\n", - "INFO:tensorflow:global_step/sec: 0.503028\r\n", - "INFO:tensorflow:global_step/sec: 0.503024\r\n", - "INFO:tensorflow:step = 301, loss = 6.0248547 (198.797 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503024\r\n", - "INFO:tensorflow:global_step/sec: 0.503024\r\n", - "INFO:tensorflow:global_step/sec: 0.503021\r\n", - "INFO:tensorflow:global_step/sec: 0.503024\r\n", - "INFO:tensorflow:global_step/sec: 0.503025\r\n", - "INFO:tensorflow:global_step/sec: 0.503025\r\n", - "INFO:tensorflow:global_step/sec: 0.503023\r\n", - "INFO:tensorflow:global_step/sec: 0.503024\r\n", - "INFO:tensorflow:global_step/sec: 0.503023\r\n", - "INFO:tensorflow:loss = 5.560908, step = 301 (198.797 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503021\r\n", - "INFO:tensorflow:step = 301, loss = 6.1521673 (198.798 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503022\r\n", - "INFO:tensorflow:step = 301, loss = 6.0124865 (198.798 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503045\r\n", - "INFO:tensorflow:global_step/sec: 0.50302\r\n", - "INFO:tensorflow:global_step/sec: 0.503022\r\n", - "INFO:tensorflow:step = 301, loss = 5.9068775 (198.798 sec)\r\n", - "INFO:tensorflow:step = 301, loss = 5.957429 (198.798 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503021\r\n", - "INFO:tensorflow:step = 301, loss = 5.764637 (198.798 sec)\r\n", - "INFO:tensorflow:step = 301, loss = 6.3434396 (198.798 sec)\r\n", - "INFO:tensorflow:loss = 5.949499, step = 301 (198.798 sec)\r\n", - "INFO:tensorflow:step = 301, loss = 6.340575 (198.798 sec)\r\n", - "INFO:tensorflow:loss = 6.0991526, step = 301 (198.797 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503021\r\n", - "INFO:tensorflow:step = 301, loss = 6.136707 (198.799 sec)\r\n", - "INFO:tensorflow:loss = 5.7457314, step = 301 (198.798 sec)\r\n", - "INFO:tensorflow:loss = 6.2206264, step = 301 (198.798 sec)\r\n", - "INFO:tensorflow:loss = 5.782694, step = 301 (198.795 sec)\r\n", - "INFO:tensorflow:step = 301, loss = 6.0001516 (198.798 sec)\r\n", - "INFO:tensorflow:step = 301, loss = 6.009217 (198.800 sec)\r\n", - "INFO:tensorflow:loss = 5.5326166, step = 301 (198.798 sec)\r\n", - "INFO:tensorflow:loss = 5.9293947, step = 301 (198.799 sec)\r\n", - "INFO:tensorflow:step = 301, loss = 5.678829 (198.798 sec)\r\n", - "INFO:tensorflow:step = 301, loss = 6.2310066 (198.798 sec)\r\n", - "INFO:tensorflow:loss = 6.0156946, step = 301 (198.797 sec)\r\n", - "INFO:tensorflow:step = 301, loss = 6.0307755 (198.797 sec)\r\n", - "INFO:tensorflow:loss = 6.264027, step = 301 (198.799 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.502981\r\n", - "INFO:tensorflow:loss = 6.02077, step = 301 (198.798 sec)\r\n", - "INFO:tensorflow:loss = 5.8464355, step = 301 (198.812 sec)\r\n", - "INFO:tensorflow:loss = 5.958081, step = 301 (198.799 sec)\r\n", - "INFO:tensorflow:step = 301, loss = 6.1822677 (198.799 sec)\r\n", - "INFO:tensorflow:loss = 5.994128, step = 301 (198.798 sec)\r\n", - "INFO:tensorflow:loss = 5.9151397, step = 301 (198.790 sec)\r\n", - "INFO:tensorflow:loss = 5.8530383, step = 301 (198.815 sec)\r\n", - "INFO:tensorflow:step = 301, loss = 5.9332857 (198.798 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.508908\r\n", - "INFO:tensorflow:global_step/sec: 0.508911\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.508908\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.508907\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.50895\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.508908\r\n", - "INFO:tensorflow:global_step/sec: 0.508905\r\n", - "INFO:tensorflow:global_step/sec: 0.508907\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.508907\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.508905\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.508907\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.508908\r\n", - "INFO:tensorflow:global_step/sec: 0.508905\r\n", - "INFO:tensorflow:global_step/sec: 0.508909\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:loss = 5.6639166, step = 401 (196.499 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:step = 401, loss = 5.6314526 (196.499 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.508906\r\n", - "INFO:tensorflow:global_step/sec: 0.508907\r\n", - "INFO:tensorflow:global_step/sec: 0.508907\r\n", - "INFO:tensorflow:step = 401, loss = 5.3906517 (196.500 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.508904\r\n", - "INFO:tensorflow:step = 401, loss = 5.442087 (196.499 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.7510834 (196.500 sec)\r\n", - "INFO:tensorflow:loss = 5.6859913, step = 401 (196.500 sec)\r\n", - "INFO:tensorflow:loss = 5.603615, step = 401 (196.500 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.777555 (196.499 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.7930813 (196.499 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.605172 (196.499 sec)\r\n", - "INFO:tensorflow:loss = 5.548317, step = 401 (196.500 sec)\r\n", - "INFO:tensorflow:loss = 5.7089863, step = 401 (196.498 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.6959333 (196.501 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.309334 (196.500 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.8019805 (196.500 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.8382134 (196.499 sec)\r\n", - "INFO:tensorflow:loss = 5.650218, step = 401 (196.500 sec)\r\n", - "INFO:tensorflow:loss = 5.68239, step = 401 (196.483 sec)\r\n", - "INFO:tensorflow:loss = 5.8272743, step = 401 (196.501 sec)\r\n", - "INFO:tensorflow:loss = 5.8205223, step = 401 (196.451 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.3151345 (196.501 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.508842\r\n", - "INFO:tensorflow:loss = 5.657365, step = 401 (196.500 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.9197364 (196.499 sec)\r\n", - "INFO:tensorflow:loss = 5.487725, step = 401 (196.500 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.508905\r\n", - "INFO:tensorflow:step = 401, loss = 5.857718 (196.500 sec)\r\n", - "INFO:tensorflow:loss = 5.872627, step = 401 (196.500 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.549152 (196.525 sec)\r\n", - "INFO:tensorflow:loss = 5.92044, step = 401 (196.500 sec)\r\n", - "INFO:tensorflow:loss = 5.5582914, step = 401 (196.499 sec)\r\n", - "INFO:tensorflow:loss = 5.3443747, step = 401 (196.499 sec)\r\n", - "INFO:tensorflow:step = 401, loss = 5.72042 (196.500 sec)\r\n", - "INFO:tensorflow:loss = 5.405641, step = 401 (196.501 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.499704\r\n", - "INFO:tensorflow:global_step/sec: 0.499701\r\n", - "INFO:tensorflow:global_step/sec: 0.499709\r\n", - "INFO:tensorflow:global_step/sec: 0.499704\r\n", - "INFO:tensorflow:global_step/sec: 0.499702\r\n", - "INFO:tensorflow:global_step/sec: 0.499705\r\n", - "INFO:tensorflow:global_step/sec: 0.499702\r\n", - "INFO:tensorflow:global_step/sec: 0.499703\r\n", - "INFO:tensorflow:global_step/sec: 0.499703\r\n", - "INFO:tensorflow:global_step/sec: 0.499704\r\n", - "INFO:tensorflow:global_step/sec: 0.499704\r\n", - "INFO:tensorflow:global_step/sec: 0.499702\r\n", - "INFO:tensorflow:step = 501, loss = 5.1250954 (200.120 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.499705\r\n", - "INFO:tensorflow:global_step/sec: 0.499702\r\n", - "INFO:tensorflow:global_step/sec: 0.499703\r\n", - "INFO:tensorflow:global_step/sec: 0.499703\r\n", - "INFO:tensorflow:global_step/sec: 0.499704\r\n", - "INFO:tensorflow:global_step/sec: 0.499703\r\n", - "INFO:tensorflow:loss = 5.4699526, step = 501 (200.118 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.4997\r\n", - "INFO:tensorflow:global_step/sec: 0.499705\r\n", - "INFO:tensorflow:global_step/sec: 0.499702\r\n", - "INFO:tensorflow:global_step/sec: 0.499702\r\n", - "INFO:tensorflow:global_step/sec: 0.499702\r\n", - "INFO:tensorflow:step = 501, loss = 5.3415875 (200.116 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.499703\r\n", - "INFO:tensorflow:step = 501, loss = 5.4792337 (200.118 sec)\r\n", - "INFO:tensorflow:loss = 5.503517, step = 501 (200.119 sec)\r\n", - "INFO:tensorflow:step = 501, loss = 5.506774 (200.118 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.499701\r\n", - "INFO:tensorflow:step = 501, loss = 5.294855 (200.119 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.499702\r\n", - "INFO:tensorflow:global_step/sec: 0.499702\r\n", - "INFO:tensorflow:global_step/sec: 0.499703\r\n", - "INFO:tensorflow:loss = 5.5224905, step = 501 (200.119 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.499698\r\n", - "INFO:tensorflow:global_step/sec: 0.499769\r\n", - "INFO:tensorflow:step = 501, loss = 5.296965 (200.120 sec)\r\n", - "INFO:tensorflow:step = 501, loss = 5.0630617 (200.119 sec)\r\n", - "INFO:tensorflow:loss = 5.247116, step = 501 (200.119 sec)\r\n", - "INFO:tensorflow:step = 501, loss = 5.1793513 (200.119 sec)\r\n", - "INFO:tensorflow:loss = 5.1786957, step = 501 (200.119 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.49966\r\n", - "INFO:tensorflow:step = 501, loss = 5.4647512 (200.120 sec)\r\n", - "INFO:tensorflow:loss = 5.199071, step = 501 (200.118 sec)\r\n", - "INFO:tensorflow:loss = 5.56055, step = 501 (200.120 sec)\r\n", - "INFO:tensorflow:loss = 5.471609, step = 501 (200.119 sec)\r\n", - "INFO:tensorflow:loss = 5.6645827, step = 501 (200.119 sec)\r\n", - "INFO:tensorflow:step = 501, loss = 5.4720106 (200.119 sec)\r\n", - "INFO:tensorflow:loss = 5.16383, step = 501 (200.119 sec)\r\n", - "INFO:tensorflow:loss = 5.26538, step = 501 (200.107 sec)\r\n", - "INFO:tensorflow:step = 501, loss = 5.350783 (200.121 sec)\r\n", - "INFO:tensorflow:step = 501, loss = 5.4854207 (200.117 sec)\r\n", - "INFO:tensorflow:loss = 5.821887, step = 501 (200.119 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.499698\r\n", - "INFO:tensorflow:loss = 5.3346524, step = 501 (200.119 sec)\r\n", - "INFO:tensorflow:loss = 4.8473644, step = 501 (200.119 sec)\r\n", - "INFO:tensorflow:loss = 5.3010435, step = 501 (200.118 sec)\r\n", - "INFO:tensorflow:step = 501, loss = 5.3705873 (200.092 sec)\r\n", - "INFO:tensorflow:loss = 5.157035, step = 501 (200.120 sec)\r\n", - "INFO:tensorflow:step = 501, loss = 5.4153767 (200.122 sec)\r\n", - "INFO:tensorflow:step = 501, loss = 5.3465195 (200.120 sec)\r\n", - "INFO:tensorflow:step = 501, loss = 5.5434294 (200.120 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.50367\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:global_step/sec: 0.503671\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:global_step/sec: 0.50367\r\n", - "INFO:tensorflow:global_step/sec: 0.503669\r\n", - "INFO:tensorflow:global_step/sec: 0.503669\r\n", - "INFO:tensorflow:global_step/sec: 0.50367\r\n", - "INFO:tensorflow:global_step/sec: 0.503671\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:global_step/sec: 0.503669\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:step = 601, loss = 5.2275987 (198.543 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.50367\r\n", - "INFO:tensorflow:global_step/sec: 0.503669\r\n", - "INFO:tensorflow:global_step/sec: 0.50367\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:global_step/sec: 0.503672\r\n", - "INFO:tensorflow:global_step/sec: 0.503669\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:loss = 5.203423, step = 601 (198.543 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503669\r\n", - "INFO:tensorflow:global_step/sec: 0.503667\r\n", - "INFO:tensorflow:global_step/sec: 0.503714\r\n", - "INFO:tensorflow:loss = 5.1809464, step = 601 (198.543 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503668\r\n", - "INFO:tensorflow:loss = 5.091612, step = 601 (198.543 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 5.4761057 (198.543 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503667\r\n", - "INFO:tensorflow:global_step/sec: 0.503666\r\n", - "INFO:tensorflow:loss = 5.6330495, step = 601 (198.543 sec)\r\n", - "INFO:tensorflow:loss = 5.516194, step = 601 (198.543 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 4.919154 (198.544 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 4.9967413 (198.543 sec)\r\n", - "INFO:tensorflow:loss = 5.3596535, step = 601 (198.543 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 5.3334436 (198.543 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 4.972207 (198.542 sec)\r\n", - "INFO:tensorflow:loss = 5.311495, step = 601 (198.542 sec)\r\n", - "INFO:tensorflow:loss = 5.11269, step = 601 (198.544 sec)\r\n", - "INFO:tensorflow:loss = 5.216036, step = 601 (198.543 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 5.419506 (198.542 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 4.8484125 (198.543 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 4.8842626 (198.543 sec)\r\n", - "INFO:tensorflow:loss = 5.094374, step = 601 (198.543 sec)\r\n", - "INFO:tensorflow:loss = 5.2631636, step = 601 (198.544 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 4.967153 (198.543 sec)\r\n", - "INFO:tensorflow:loss = 5.138234, step = 601 (198.544 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 5.5174184 (198.543 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503615\r\n", - "INFO:tensorflow:loss = 5.1389613, step = 601 (198.544 sec)\r\n", - "INFO:tensorflow:loss = 5.052552, step = 601 (198.543 sec)\r\n", - "INFO:tensorflow:global_step/sec: 0.503672\r\n", - "INFO:tensorflow:global_step/sec: 0.503665\r\n", - "INFO:tensorflow:step = 601, loss = 5.1650224 (198.544 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 4.7900105 (198.542 sec)\r\n", - "INFO:tensorflow:loss = 5.338297, step = 601 (198.569 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 5.2584043 (198.564 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 5.064971 (198.542 sec)\r\n", - "INFO:tensorflow:loss = 4.8835945, step = 601 (198.547 sec)\r\n", - "INFO:tensorflow:step = 601, loss = 5.0577345 (198.544 sec)\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d520d680-e24c-4a23-8dde-c9d62f5b77cf/outputs/Models/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\r\n", - "INFO:tensorflow:Loss for final step: 5.25614.\r\n", - "INFO:__main__:Training took 1618.870 seconds\r\n", - "INFO:tensorflow:Loss for final step: 4.8944216.\r\n", - "INFO:__main__:Training took 1619.816 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.345804.\r\n", - "INFO:__main__:Training took 1619.902 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.2081976.\r\n", - "INFO:__main__:Training took 1620.016 seconds\r\n", - "INFO:tensorflow:Loss for final step: 4.597257.\r\n", - "INFO:__main__:Training took 1620.069 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.2193193.\r\n", - "INFO:__main__:Training took 1620.380 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.0178413.\r\n", - "INFO:__main__:Training took 1620.355 seconds\r\n", - "INFO:tensorflow:Loss for final step: 4.8324337.\r\n", - "INFO:__main__:Training took 1620.568 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.3111935.\r\n", - "INFO:__main__:Training took 1621.586 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.0435266.\r\n", - "INFO:__main__:Training took 1623.083 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.078935.\r\n", - "INFO:__main__:Training took 1623.562 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.3045354.\r\n", - "INFO:__main__:Training took 1623.693 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.001101.\r\n", - "INFO:tensorflow:Loss for final step: 5.2335076.\r\n", - "INFO:__main__:Training took 1623.580 seconds\r\n", - "INFO:__main__:Training took 1623.553 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.225529.\r\n", - "INFO:__main__:Training took 1623.692 seconds\r\n", - "INFO:tensorflow:Loss for final step: 4.737844.\r\n", - "INFO:__main__:Training took 1624.128 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.4087734.\r\n", - "INFO:__main__:Training took 1624.347 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.026219.\r\n", - "INFO:__main__:Training took 1626.527 seconds\r\n", - "INFO:tensorflow:Loss for final step: 4.958136.\r\n", - "INFO:tensorflow:Loss for final step: 5.215475.\r\n", - "INFO:__main__:Training took 1626.557 seconds\r\n", - "INFO:__main__:Training took 1626.512 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.1856227.\r\n", - "INFO:__main__:Training took 1627.056 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.390851.\r\n", - "INFO:__main__:Training took 1627.019 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.295985.\r\n", - "INFO:tensorflow:Loss for final step: 5.0659103.\r\n", - "INFO:tensorflow:Loss for final step: 5.15178.\r\n", - "INFO:__main__:Training took 1627.125 seconds\r\n", - "INFO:__main__:Training took 1627.308 seconds\r\n", - "INFO:__main__:Training took 1627.290 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.168831.\r\n", - "INFO:__main__:Training took 1629.647 seconds\r\n", - "INFO:tensorflow:Loss for final step: 4.712775.\r\n", - "INFO:__main__:Training took 1629.954 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.487027.\r\n", - "INFO:__main__:Training took 1630.032 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.0329623.\r\n", - "INFO:__main__:Training took 1629.820 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.0536456.\r\n", - "INFO:__main__:Training took 1630.286 seconds\r\n", - "INFO:tensorflow:Loss for final step: 4.930035.\r\n", - "INFO:__main__:Training took 1630.802 seconds\r\n", - "INFO:tensorflow:Loss for final step: 5.485264.\r\n", - "INFO:__main__:Training took 1638.689 seconds\r\n", - "INFO:__main__:Testing...\r\n", - "INFO:tensorflow:Calling model_fn.\r\n", - "INFO:tensorflow:Done calling model_fn.\r\n", - "INFO:tensorflow:Starting evaluation at 2018-05-20-16:15:49\r\n", - "INFO:tensorflow:Graph was finalized.\r\n", - "2018-05-20 16:15:49.755313: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\r\n", - "2018-05-20 16:15:49.755532: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2749 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 3490:00:00.0, compute capability: 3.7)\r\n", - "INFO:tensorflow:Restoring parameters from /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d520d680-e24c-4a23-8dde-c9d62f5b77cf/outputs/Models/model.ckpt-625\r\n", - "INFO:tensorflow:Running local_init_op.\r\n", - "INFO:tensorflow:Done running local_init_op.\r\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "^C\r\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stderr.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "10.0.0.4,10.0.0.5,10.0.0.6,10.0.0.7,10.0.0.8,10.0.0.9,10.0.0.10,10.0.0.11\n", - "train\n", - "train.csv\n", - "validation\n", - "validation.csv\n", - "extcn\n", - "extfs\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai job delete --name horovod_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "\u001b[K - Starting ..\r", - "\r", - "\u001b[K - Finished ..\r", - "\r", - "\u001b[K" - ] - } - ], - "source": [ - "!az batchai file-server delete -n $NFS_NAME -y -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [default]", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control_tf/HorovodImagenetBatchAI-LocalFiles.ipynb b/_tmp/control_tf/HorovodImagenetBatchAI-LocalFiles.ipynb deleted file mode 100644 index d47cb5f..0000000 --- a/_tmp/control_tf/HorovodImagenetBatchAI-LocalFiles.ipynb +++ /dev/null @@ -1,3075 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mTo sign in, use a web browser to open the page https://microsoft.com/devicelogin and enter the code ABNVKQJ47 to authenticate.\u001b[0m\n", - "CloudName Name State TenantId IsDefault\n", - "----------- ----------------------------- ------- ------------------------------------ -----------\n", - "AzureCloud Boston DS Dev Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Azure Internal - London Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Danielle Internal Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47 True\n", - "AzureCloud Visual Studio Enterprise Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Boston Engineering Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ADLTrainingMS Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyExt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Ads Eng Big Data Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling Preview Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling development Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud AzureML Client PROD Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud R portal - Production Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyInt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Project Vienna Demo 1 Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Solution Template Testing Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Ilan Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Marketing Automation Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n" - ] - } - ], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.24)\r\n", - "\r\n", - "acr (2.0.18)\r\n", - "acs (2.0.23)\r\n", - "advisor (0.1.1)\r\n", - "appservice (0.1.23)\r\n", - "backup (1.0.4)\r\n", - "batch (3.1.8)\r\n", - "batchai (0.1.4)\r\n", - "billing (0.1.7)\r\n", - "cdn (0.0.11)\r\n", - "cloud (2.0.11)\r\n", - "cognitiveservices (0.1.10)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.13)\r\n", - "consumption (0.2.1)\r\n", - "container (0.1.16)\r\n", - "core (2.0.24)\r\n", - "cosmosdb (0.1.16)\r\n", - "dla (0.0.16)\r\n", - "dls (0.0.19)\r\n", - "eventgrid (0.1.7)\r\n", - "extension (0.0.7)\r\n", - "feedback (2.0.7)\r\n", - "find (0.2.8)\r\n", - "interactive (0.3.12)\r\n", - "iot (0.1.16)\r\n", - "keyvault (2.0.16)\r\n", - "lab (0.0.14)\r\n", - "monitor (0.0.14)\r\n", - "network (2.0.20)\r\n", - "nspkg (3.0.1)\r\n", - "profile (2.0.17)\r\n", - "rdbms (0.0.10)\r\n", - "redis (0.2.11)\r\n", - "reservations (0.1.1)\r\n", - "resource (2.0.20)\r\n", - "role (2.0.16)\r\n", - "servicefabric (0.0.8)\r\n", - "sql (2.0.18)\r\n", - "storage (2.0.22)\r\n", - "vm (2.0.23)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/mat/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Jan 5 2018, 21:18:08) \r\n", - "[GCC 4.8.4]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch{uuid}share\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location Name\r\n", - "---------- ---------------\r\n", - "eastus batchbd667ecbrg\r\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batchbd667ecbst provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join([i for i in json_data if 'WARNING' not in i]))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batchbd667ecbst\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=UxAzhXjN483duuqIMVtzQ2WbWjKeOzAmXlj73yy+6KS1rJKeMpS6fispOWio8/THrebD4sYsaikL/KJydZwHIw==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.844 MB; Average Speed:194.8 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 1.844 MB; Average Speed:160.99 KB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:40:35] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:15\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D' \\\n", - " --dest-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:42:30][WARNING] The command line \"--source \"https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz\" --destination \"https://batchbd667ecbst.blob.core.windows.net/batchbd667ecbcontainer/validation.tar.gz\" --source-sas ****** --dest-key ******\" in the journal file \"/home/mat/Microsoft/Azure/AzCopy/AzCopy.jnl\" is different from your input.\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:42:32][WARNING] Incomplete operation with different command line detected at the journal directory \"/home/mat/Microsoft/Azure/AzCopy\".\n", - "\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64 MB; Average Speed:1.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 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Average Speed:12.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.375 GB; Average Speed:12.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.438 GB; Average Speed:12.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.5 GB; Average Speed:12.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.563 GB; Average Speed:12.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.625 GB; Average Speed:12.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.75 GB; Average Speed:13.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.938 GB; Average Speed:13.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.125 GB; Average Speed:14.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.313 GB; Average Speed:14.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.5 GB; Average Speed:14.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.688 GB; Average Speed:15.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.875 GB; Average Speed:15.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4.063 GB; Average Speed:15.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4.313 GB; Average Speed:16.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4.563 GB; Average Speed:17.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4.813 GB; Average Speed:17.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.063 GB; Average Speed:17.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.313 GB; Average Speed:18.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.563 GB; Average Speed:18.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.813 GB; Average Speed:19.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.875 GB; Average Speed:19.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 5.938 GB; Average Speed:19.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6 GB; Average Speed:19.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6.063 GB; Average Speed:19.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6.125 GB; Average Speed:19.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 6.207 GB; Average Speed:19.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 6.207 GB; Average Speed:19.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:47:58] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:05:28\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64 MB; Average Speed:4.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128 MB; Average Speed:7.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 192 MB; 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.688 GB; Average Speed:14.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.75 GB; Average Speed:15.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.813 GB; Average Speed:15.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.875 GB; Average Speed:15.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 1.938 GB; Average Speed:15.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2 GB; Average Speed:15.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.063 GB; Average Speed:15.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.125 GB; Average Speed:15.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.188 GB; Average Speed:15.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.25 GB; Average Speed:15.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.313 GB; Average Speed:15.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 2.375 GB; 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.313 GB; Average Speed:17.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.375 GB; Average Speed:17.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.438 GB; Average Speed:18.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.5 GB; Average Speed:18.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.563 GB; Average Speed:18.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.688 GB; Average Speed:18.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.75 GB; Average Speed:18.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.813 GB; Average Speed:18.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 3.875 GB; Average Speed:18.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4 GB; Average Speed:18.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4.063 GB; Average Speed:18.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4.188 GB; 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Average Speed:24.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished: 0 file(s), 7.438 GB; Average Speed:24.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 7.75 GB; Average Speed:25.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 8.063 GB; Average Speed:25.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 8.313 GB; Average Speed:25.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 8.625 GB; Average Speed:26.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 8.875 GB; Average Speed:26.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 9.25 GB; Average Speed:27.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 9.625 GB; Average Speed:27.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 9.938 GB; Average Speed:27.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 10.25 GB; Average Speed:28.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 10.563 GB; Average Speed:28.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 10.875 GB; Average Speed:28.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 11.25 GB; Average Speed:29.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 11.563 GB; Average Speed:29.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 11.875 GB; Average Speed:29.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.188 GB; Average Speed:30.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.5 GB; Average Speed:30.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 12.813 GB; Average Speed:30.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.25 GB; Average Speed:31.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.625 GB; Average Speed:31.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 13.938 GB; Average Speed:31.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 14.25 GB; Average Speed:32.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 14.625 GB; Average Speed:32.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15 GB; Average Speed:32.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.375 GB; Average Speed:33.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.813 GB; Average Speed:33.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.188 GB; Average Speed:33.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.563 GB; Average Speed:34.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 16.875 GB; Average Speed:34.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 17.25 GB; Average Speed:34.49 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 17.688 GB; Average Speed:34.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.063 GB; Average Speed:35.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.438 GB; Average Speed:35.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 18.75 GB; Average Speed:35.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.125 GB; Average Speed:35.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.5 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 19.938 GB; Average Speed:36.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 20.375 GB; Average Speed:36.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 20.75 GB; Average Speed:36.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.063 GB; Average Speed:37.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.438 GB; Average Speed:37.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 21.938 GB; Average Speed:37.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.438 GB; Average Speed:38.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.75 GB; Average Speed:38.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.813 GB; Average Speed:35.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.875 GB; Average Speed:35.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 22.938 GB; Average Speed:35.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23 GB; Average Speed:34.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.063 GB; Average Speed:34.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.125 GB; Average Speed:34.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.188 GB; Average Speed:34.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.25 GB; Average Speed:33.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.313 GB; Average Speed:33.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.438 GB; Average Speed:33.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.5 GB; Average Speed:33.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.563 GB; Average Speed:32.96 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.688 GB; Average Speed:32.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.75 GB; Average Speed:32.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.813 GB; Average Speed:32.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 23.938 GB; Average Speed:32.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.063 GB; Average Speed:32.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.188 GB; Average Speed:31.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.313 GB; Average Speed:31.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.438 GB; Average Speed:31.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.563 GB; Average Speed:31.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.688 GB; Average Speed:31.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.813 GB; Average Speed:31.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 24.875 GB; Average Speed:31.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25 GB; Average Speed:31.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.125 GB; Average Speed:30.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.313 GB; Average Speed:30.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.5 GB; Average Speed:30.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.688 GB; Average Speed:30.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 25.875 GB; Average Speed:30.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.063 GB; Average Speed:30.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.25 GB; Average Speed:30.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.438 GB; Average Speed:30.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.563 GB; Average Speed:30.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.75 GB; Average Speed:30.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 26.938 GB; Average Speed:30.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.188 GB; Average Speed:30.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.438 GB; Average Speed:30.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.75 GB; Average Speed:30.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 27.938 GB; Average Speed:30.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.125 GB; Average Speed:30.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.375 GB; Average Speed:30.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.563 GB; Average Speed:30.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 28.813 GB; Average Speed:30.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 29 GB; Average Speed:30.79 MB/s. \u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 0 file(s), 29.25 GB; Average Speed:30.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 29.563 GB; Average Speed:30.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 29.875 GB; Average Speed:31.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.188 GB; Average Speed:31.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.5 GB; Average Speed:31.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 30.813 GB; Average Speed:31.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.063 GB; Average Speed:31.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.313 GB; Average Speed:31.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.563 GB; Average Speed:31.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 31.938 GB; Average Speed:31.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 32.313 GB; Average Speed:31.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 32.688 GB; Average Speed:31.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33 GB; Average Speed:32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.25 GB; Average Speed:32.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.563 GB; Average Speed:32.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.875 GB; Average Speed:32.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.313 GB; Average Speed:32.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.688 GB; Average Speed:32.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.125 GB; Average Speed:32.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.5 GB; Average Speed:32.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.875 GB; Average Speed:33.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.188 GB; Average Speed:33.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.5 GB; Average Speed:33.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.875 GB; Average Speed:33.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.188 GB; Average Speed:33.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.625 GB; Average Speed:33.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.125 GB; Average Speed:33.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.5 GB; Average Speed:33.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.875 GB; Average Speed:34.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.188 GB; Average Speed:34.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.563 GB; Average Speed:34.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40 GB; Average Speed:34.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.438 GB; Average Speed:34.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.875 GB; Average Speed:34.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.25 GB; Average Speed:34.88 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.563 GB; Average Speed:34.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.938 GB; Average Speed:35.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.313 GB; Average Speed:35.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.813 GB; Average Speed:35.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 43.313 GB; Average Speed:35.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 43.75 GB; Average Speed:35.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44 GB; Average Speed:35.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.313 GB; Average Speed:35.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.75 GB; Average Speed:35.96 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.063 GB; Average Speed:36.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.313 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.625 GB; Average Speed:36.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.875 GB; Average Speed:36.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.063 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.25 GB; Average Speed:35.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.438 GB; Average Speed:35.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.813 GB; Average Speed:36.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.125 GB; Average Speed:36.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.438 GB; Average Speed:36.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.75 GB; Average Speed:36.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48 GB; Average Speed:36.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.313 GB; Average Speed:36.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.563 GB; Average Speed:36.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.813 GB; Average Speed:36.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.125 GB; Average Speed:36.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.5 GB; Average Speed:36.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.875 GB; Average Speed:36.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.25 GB; Average Speed:36.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.5 GB; Average Speed:36.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.813 GB; Average Speed:36.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.125 GB; Average Speed:36.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.5 GB; Average Speed:36.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.938 GB; Average Speed:36.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.313 GB; Average Speed:36.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.625 GB; Average Speed:36.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.938 GB; Average Speed:37.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.313 GB; Average Speed:37.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.625 GB; Average Speed:37.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54 GB; Average Speed:37.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.313 GB; Average Speed:37.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.688 GB; Average Speed:37.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55 GB; Average Speed:37.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.313 GB; Average Speed:37.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.688 GB; Average Speed:37.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.125 GB; Average Speed:37.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.5 GB; Average Speed:37.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.813 GB; Average Speed:37.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.188 GB; Average Speed:37.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.5 GB; Average Speed:37.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.875 GB; Average Speed:37.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.313 GB; Average Speed:38.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.813 GB; Average Speed:38.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.125 GB; Average Speed:38.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished: 0 file(s), 59.438 GB; Average Speed:38.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.813 GB; Average Speed:38.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.188 GB; Average Speed:38.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.563 GB; Average Speed:38.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61 GB; Average Speed:38.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61.5 GB; Average Speed:38.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62 GB; Average Speed:38.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.438 GB; Average Speed:38.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.813 GB; Average Speed:39.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.188 GB; Average Speed:39.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.625 GB; Average Speed:39.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.188 GB; Average Speed:39.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.688 GB; Average Speed:39.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.125 GB; Average Speed:39.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.563 GB; Average Speed:39.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66 GB; Average Speed:39.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.438 GB; Average Speed:39.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.875 GB; Average Speed:40.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.25 GB; Average Speed:40.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.625 GB; Average Speed:40.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.063 GB; Average Speed:40.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.438 GB; Average Speed:40.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.875 GB; Average Speed:40.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.25 GB; Average Speed:40.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.625 GB; Average Speed:40.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70 GB; Average Speed:40.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.375 GB; Average Speed:40.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.75 GB; Average Speed:40.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.188 GB; Average Speed:40.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.563 GB; Average Speed:40.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.875 GB; Average Speed:40.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.25 GB; Average Speed:40.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.625 GB; Average Speed:40.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73 GB; Average Speed:40.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.375 GB; Average Speed:41.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.688 GB; Average Speed:41.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.063 GB; Average Speed:41.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.438 GB; Average Speed:41.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.813 GB; Average Speed:41.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.188 GB; Average Speed:41.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.5 GB; Average Speed:41.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.875 GB; Average Speed:41.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.25 GB; Average Speed:41.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.563 GB; Average Speed:41.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.938 GB; Average Speed:41.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.25 GB; Average Speed:41.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.625 GB; Average Speed:41.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78 GB; Average Speed:41.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.313 GB; Average Speed:41.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.688 GB; Average Speed:41.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79 GB; Average Speed:41.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.313 GB; Average Speed:41.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.688 GB; Average Speed:41.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80 GB; Average Speed:41.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.375 GB; Average Speed:41.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.688 GB; Average Speed:41.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81 GB; Average Speed:41.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.313 GB; Average Speed:41.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.688 GB; Average Speed:41.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82 GB; Average Speed:41.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.313 GB; Average Speed:41.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.688 GB; Average Speed:41.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83 GB; Average Speed:41.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.313 GB; Average Speed:41.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.625 GB; Average Speed:41.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.938 GB; Average Speed:41.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.375 GB; Average Speed:42.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.813 GB; Average Speed:42.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.25 GB; Average Speed:42.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.625 GB; Average Speed:42.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.938 GB; Average Speed:42.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.313 GB; Average Speed:42.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.688 GB; Average Speed:42.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.188 GB; Average Speed:42.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.625 GB; Average Speed:42.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.125 GB; Average Speed:42.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.563 GB; Average Speed:42.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.938 GB; Average Speed:42.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.313 GB; Average Speed:42.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.75 GB; Average Speed:42.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.125 GB; Average Speed:42.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.5 GB; Average Speed:42.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.875 GB; Average Speed:42.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.313 GB; Average Speed:42.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.688 GB; Average Speed:43.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92 GB; Average Speed:43.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.375 GB; Average Speed:43.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.75 GB; Average Speed:43.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.125 GB; Average Speed:43.13 MB/s. \u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.5 GB; Average Speed:43.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.875 GB; Average Speed:43.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.188 GB; Average Speed:43.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.563 GB; Average Speed:43.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.938 GB; Average Speed:43.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.313 GB; Average Speed:43.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.625 GB; Average Speed:43.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96 GB; Average Speed:43.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.313 GB; Average Speed:43.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.688 GB; Average Speed:43.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.063 GB; Average Speed:43.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.375 GB; Average Speed:43.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.75 GB; Average Speed:43.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.063 GB; Average Speed:43.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.438 GB; Average Speed:43.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.75 GB; Average Speed:43.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.125 GB; Average Speed:43.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.438 GB; Average Speed:43.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.75 GB; Average Speed:43.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.125 GB; Average Speed:43.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.438 GB; Average Speed:43.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.813 GB; Average Speed:43.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.125 GB; Average Speed:43.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.5 GB; Average Speed:43.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.813 GB; Average Speed:43.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.125 GB; Average Speed:43.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.438 GB; Average Speed:43.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.813 GB; Average Speed:43.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.125 GB; Average Speed:43.73 MB/s. 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"code", - "execution_count": 50, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.739 MB; Average Speed:1.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 62.739 MB; Average Speed:1.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 19:06:13] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:51\n" - ] - } - ], - "source": [ - "!azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \\\n", - " --destination $destination_url \\\n", - " --source-sas '?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D' \\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting nodeprep.sh\n" - ] - } - ], - "source": [ - "%%writefile nodeprep.sh\n", - "#!/usr/bin/env bash\n", - "mkdir -p $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "rsync --info=progress2 -r $AZ_BATCHAI_MOUNT_ROOT/extcn/ $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "cd $AZ_BATCHAI_MOUNT_ROOT/imagenet\n", - "tar -xzf train.tar.gz\n", - "tar -xzf validation.tar.gz" - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source nodeprep.sh --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 262, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetEstimatorHorovod.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/timer.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 177, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "cluster_dict = {\n", - " \"properties\": {\n", - " \"nodeSetup\": {\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"runElevated\": True,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " }\n", - " }\n", - " }\n", - "} " - ] - }, - { - "cell_type": "code", - "execution_count": 178, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(cluster_dict, 'cluster.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 179, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\"properties\": {\"nodeSetup\": {\"setupTask\": {\"runElevated\": true, \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\", \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\"}}}}" - ] - } - ], - "source": [ - "!cat cluster.json" - ] - }, - { - "cell_type": "code", - "execution_count": 180, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"creationTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchbd667ecbrg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"containerName\": \"batchbd667ecbcontainer\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"azureFileUrl\": \"https://batchbd667ecbst.file.core.windows.net/batchbd667ecbshare\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"environmentVariables\": null,\n", - " \"runElevated\": true,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\"\n", - " }\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-04-15T19:16:09.744000+00:00\",\n", - " \"resourceGroup\": \"batchbd667ecbrg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 2\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24r \\\n", - "--min 2 --max 2 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--container-name $CONTAINER_NAME \\\n", - "--container-mount-path extcn \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key \\\n", - "-c cluster.json" - ] - }, - { - "cell_type": "code", - "execution_count": 181, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group_name\u001b[0m\n", - "{\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"creationTime\": \"2018-04-15T19:16:09.118000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchbd667ecbrg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"containerName\": \"batchbd667ecbcontainer\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"mountOptions\": null,\n", - " \"relativeMountPath\": \"extcn\"\n", - " }\n", - " ],\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchbd667ecbst\",\n", - " \"azureFileUrl\": \"https://batchbd667ecbst.file.core.windows.net/batchbd667ecbshare\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": null,\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": {\n", - " \"commandLine\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh\",\n", - " \"environmentVariables\": null,\n", - " \"runElevated\": true,\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\"\n", - " }\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-04-15T19:16:09.744000+00:00\",\n", - " \"resourceGroup\": \"batchbd667ecbrg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 2\n", - " }\n", - " },\n", - " \"subnet\": null,\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24r\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 263, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group\u001b[0m\n", - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\n", - "------ ---------------- -------------- ------- ------ --------- ----------- --------- ----------\n", - "nc24r batchbd667ecbrg STANDARD_NC24r steady 2 0 0 0 0\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "ID IP Port\n", - "--------------------------------- ------------- ------\n", - "tvm-4283973576_1-20180520t193030z 104.45.159.47 50005\n", - "tvm-4283973576_2-20180520t193030z 104.45.159.47 50001\n", - "tvm-4283973576_3-20180520t193030z 104.45.159.47 50006\n", - "tvm-4283973576_4-20180520t193030z 104.45.159.47 50002\n", - "tvm-4283973576_5-20180520t193030z 104.45.159.47 50007\n", - "tvm-4283973576_6-20180520t193030z 104.45.159.47 50003\n", - "tvm-4283973576_7-20180520t193030z 104.45.159.47 50004\n", - "tvm-4283973576_8-20180520t193030z 104.45.159.47 50000\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2017-09-01-preview/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 8,\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; \\\n", - " echo $AZ_BATCH_HOST_LIST; \\\n", - " mpirun -n 32 -ppn 4 -hosts $AZ_BATCH_HOST_LIST \\\n", - " -env I_MPI_FABRICS=dapl \\\n", - " -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 \\\n", - " -env I_MPI_DYNAMIC_CONNECTION=0 \\\n", - " -env DISTRIBUTED=True \\\n", - " -genvall \\\n", - " python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorHorovod.py\"\n", - " },\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"masalvar/horovod-intel\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"cntkSettings\": null,\n", - " \"constraints\": {\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"credentials\": null,\n", - " \"image\": \"masalvar/horovod-intel\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-05-20T20:35:52.116000+00:00\",\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; echo $AZ_BATCH_HOST_LIST; mpirun -n 32 -ppn 4 -hosts $AZ_BATCH_HOST_LIST -env I_MPI_FABRICS=dapl -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 -env I_MPI_DYNAMIC_CONNECTION=0 -env DISTRIBUTED=True -genvall python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorHorovod.py\"\n", - " },\n", - " \"environmentVariables\": null,\n", - " \"executionInfo\": {\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-05-20T20:35:55.204000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-05-20T20:35:55.510000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/jobs/horovod_benchmark\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\"\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/imagenet\"\n", - " }\n", - " ],\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"name\": \"horovod_benchmark\",\n", - " \"nodeCount\": 8,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-20T20:35:53.102000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"custom\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai job create -n horovod_benchmark --cluster-name nc24r -c job.json" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group Cluster Cluster RG Tool Nodes State\n", - "----------------- ---------------- --------- --------------- ------ ------- -------\n", - "horovod_benchmark batchfcab5890rg nc24r batchfcab5890rg custom 8 running\n" - ] - } - ], - "source": [ - " !az batchai job list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "[\n", - " {\n", - " \"contentLength\": 27719,\n", 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}\n", - "]\n" - ] - } - ], - "source": [ - "!az batchai job list-files --name horovod_benchmark --output-directory-id stdouterr" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - 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"INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_master': '', '_save_checkpoints_secs': None, '_log_step_count_steps': 100, '_tf_random_seed': None, '_save_checkpoints_steps': 10000, '_is_chief': True, '_cluster_spec': , '_save_summary_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_type': 'worker', '_service': None, '_global_id_in_cluster': 0, '_num_worker_replicas': 1, '_keep_checkpoint_max': 5, '_task_id': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_evaluation_master': '', '_num_ps_replicas': 0}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_task_id': 0, '_task_type': 'worker', '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_steps': 10000, '_save_summary_steps': 100, '_service': None, '_is_chief': True, '_evaluation_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_log_step_count_steps': 100, '_num_worker_replicas': 1, '_cluster_spec': , '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_tf_random_seed': None}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_evaluation_master': '', '_task_type': 'worker', '_cluster_spec': , '_tf_random_seed': None, '_save_summary_steps': 100, '_task_id': 0, '_keep_checkpoint_every_n_hours': 10000, '_global_id_in_cluster': 0, '_num_worker_replicas': 1, '_master': '', '_num_ps_replicas': 0, '_log_step_count_steps': 100, '_save_checkpoints_steps': 10000, '_keep_checkpoint_max': 5, '_service': None, '_save_checkpoints_secs': None, '_is_chief': True}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_evaluation_master': '', '_cluster_spec': , '_log_step_count_steps': 100, '_task_type': 'worker', '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_keep_checkpoint_max': 5, '_service': None, '_save_checkpoints_secs': None, '_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_save_summary_steps': 100, '_task_id': 0, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_is_chief': True, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_master': ''}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_max': 5, '_num_worker_replicas': 1, '_global_id_in_cluster': 0, '_task_id': 0, '_keep_checkpoint_every_n_hours': 10000, '_is_chief': True, '_save_summary_steps': 100, '_save_checkpoints_secs': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_master': '', '_log_step_count_steps': 100, '_cluster_spec': , '_tf_random_seed': None, '_save_checkpoints_steps': 10000, '_service': None, '_evaluation_master': '', '_task_type': 'worker'}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_num_ps_replicas': 0, '_save_checkpoints_secs': None, '_task_id': 0, '_master': '', '_tf_random_seed': None, '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_worker_replicas': 1, '_task_type': 'worker', '_evaluation_master': '', '_save_checkpoints_steps': 10000, '_service': None, '_keep_checkpoint_every_n_hours': 10000, '_is_chief': True, '_global_id_in_cluster': 0, '_save_summary_steps': 100, '_keep_checkpoint_max': 5}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_keep_checkpoint_max': 5, '_task_id': 0, '_evaluation_master': '', '_task_type': 'worker', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_global_id_in_cluster': 0, '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_save_summary_steps': 100, '_cluster_spec': , '_save_checkpoints_secs': None, '_log_step_count_steps': 100, '_service': None, '_tf_random_seed': None, '_master': '', '_is_chief': True}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_every_n_hours': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_global_id_in_cluster': 0, '_keep_checkpoint_max': 5, '_task_id': 0, '_num_worker_replicas': 1, '_master': '', '_save_checkpoints_secs': None, '_log_step_count_steps': 100, '_is_chief': True, '_service': None, '_tf_random_seed': None, '_save_summary_steps': 100, '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_cluster_spec': , '_task_type': 'worker', '_evaluation_master': ''}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_task_type': 'worker', '_save_summary_steps': 100, '_task_id': 0, '_is_chief': True, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_num_worker_replicas': 1, '_master': '', '_evaluation_master': '', '_save_checkpoints_steps': 10000, '_service': None, '_save_checkpoints_secs': None, '_global_id_in_cluster': 0, '_num_ps_replicas': 0, '_keep_checkpoint_max': 5, '_log_step_count_steps': 100, '_tf_random_seed': None}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_steps': 10000, '_log_step_count_steps': 100, '_task_type': 'worker', '_service': None, '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_secs': None, '_global_id_in_cluster': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_worker_replicas': 1, '_num_ps_replicas': 0, '_is_chief': True, '_evaluation_master': '', '_save_summary_steps': 100, '_master': '', '_task_id': 0, '_keep_checkpoint_max': 5, '_cluster_spec': }\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_log_step_count_steps': 100, '_num_worker_replicas': 1, '_save_checkpoints_secs': None, '_cluster_spec': , '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_global_id_in_cluster': 0, '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_is_chief': True, '_save_checkpoints_steps': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_master': '', '_save_summary_steps': 100, '_task_id': 0, '_evaluation_master': '', '_task_type': 'worker'}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_secs': None, '_service': None, '_tf_random_seed': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_keep_checkpoint_max': 5, '_master': '', '_cluster_spec': , '_task_type': 'worker', '_save_summary_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_ps_replicas': 0, '_global_id_in_cluster': 0, '_is_chief': True, '_log_step_count_steps': 100, '_save_checkpoints_steps': 10000, '_task_id': 0, '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_num_worker_replicas': 1}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_max': 5, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_save_summary_steps': 100, '_num_ps_replicas': 0, '_service': None, '_log_step_count_steps': 100, '_save_checkpoints_steps': 10000, '_task_type': 'worker', '_is_chief': True, '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_global_id_in_cluster': 0, '_num_worker_replicas': 1, '_evaluation_master': '', '_save_checkpoints_secs': None, '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_tf_random_seed': None}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_save_checkpoints_secs': None, '_task_type': 'worker', '_is_chief': True, '_global_id_in_cluster': 0, '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_task_id': 0, '_num_ps_replicas': 0, '_tf_random_seed': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_save_summary_steps': 100, '_evaluation_master': '', '_save_checkpoints_steps': 10000}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_steps': 10000, '_save_summary_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_tf_random_seed': None, '_task_type': 'worker', '_evaluation_master': '', '_service': None, '_global_id_in_cluster': 0, '_log_step_count_steps': 100, '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_is_chief': True, '_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_keep_checkpoint_max': 5}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_task_type': 'worker', '_tf_random_seed': None, '_save_summary_steps': 100, '_service': None, '_save_checkpoints_steps': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_cluster_spec': , '_is_chief': True, '_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_global_id_in_cluster': 0, '_keep_checkpoint_max': 5, '_num_worker_replicas': 1, '_keep_checkpoint_every_n_hours': 10000, '_evaluation_master': '', '_task_id': 0, '_save_checkpoints_secs': None, '_log_step_count_steps': 100, '_num_ps_replicas': 0}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_tf_random_seed': None, '_evaluation_master': '', '_master': '', '_num_worker_replicas': 1, '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_steps': 10000, '_log_step_count_steps': 100, '_save_summary_steps': 100, '_cluster_spec': , '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_task_id': 0, '_service': None, '_is_chief': True}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_service': None, '_task_id': 0, '_log_step_count_steps': 100, '_num_worker_replicas': 1, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_max': 5, '_task_type': 'worker', '_keep_checkpoint_every_n_hours': 10000, '_save_summary_steps': 100, '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_save_checkpoints_steps': 10000, '_evaluation_master': '', '_master': '', '_is_chief': True, '_tf_random_seed': None}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_global_id_in_cluster': 0, '_task_type': 'worker', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_save_checkpoints_secs': None, '_num_worker_replicas': 1, '_keep_checkpoint_max': 5, '_cluster_spec': , '_task_id': 0, '_save_checkpoints_steps': 10000, '_is_chief': True, '_service': None, '_log_step_count_steps': 100, '_tf_random_seed': None, '_num_ps_replicas': 0, '_evaluation_master': '', '_save_summary_steps': 100, '_keep_checkpoint_every_n_hours': 10000}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_num_ps_replicas': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_evaluation_master': '', '_global_id_in_cluster': 0, '_save_summary_steps': 100, '_log_step_count_steps': 100, '_task_type': 'worker', '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_secs': None, '_num_worker_replicas': 1, '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_master': '', '_save_checkpoints_steps': 10000, '_is_chief': True, '_service': None, '_cluster_spec': }\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_master': '', '_save_summary_steps': 100, '_tf_random_seed': None, '_evaluation_master': '', '_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_save_checkpoints_steps': 10000, '_num_worker_replicas': 1, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_task_id': 0, '_log_step_count_steps': 100, '_num_ps_replicas': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_is_chief': True, '_task_type': 'worker', '_cluster_spec': , '_save_checkpoints_secs': None}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_evaluation_master': '', '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_num_worker_replicas': 1, '_task_id': 0, '_log_step_count_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_secs': None, '_cluster_spec': , '_task_type': 'worker', '_master': '', '_service': None, '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_global_id_in_cluster': 0, '_tf_random_seed': None, '_is_chief': True, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_save_summary_steps': 100}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_max': 5, '_save_checkpoints_steps': 10000, '_global_id_in_cluster': 0, '_log_step_count_steps': 100, '_evaluation_master': '', '_num_ps_replicas': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_task_type': 'worker', '_keep_checkpoint_every_n_hours': 10000, '_cluster_spec': , '_service': None, '_is_chief': True, '_num_worker_replicas': 1, '_tf_random_seed': None, '_task_id': 0}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_num_ps_replicas': 0, '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_steps': 10000, '_service': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_secs': None, '_task_id': 0, '_global_id_in_cluster': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_is_chief': True, '_save_summary_steps': 100, '_evaluation_master': '', '_cluster_spec': , '_keep_checkpoint_max': 5, '_master': '', '_num_worker_replicas': 1, '_task_type': 'worker', '_log_step_count_steps': 100}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_tf_random_seed': None, '_master': '', '_task_id': 0, '_cluster_spec': , '_num_ps_replicas': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_evaluation_master': '', '_service': None, '_log_step_count_steps': 100, '_save_summary_steps': 100, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_keep_checkpoint_max': 5, '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_is_chief': True, '_task_type': 'worker', '_keep_checkpoint_every_n_hours': 10000}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_task_id': 0, '_task_type': 'worker', '_is_chief': True, '_save_checkpoints_steps': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_tf_random_seed': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_global_id_in_cluster': 0, '_evaluation_master': '', '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_master': '', '_cluster_spec': , '_save_summary_steps': 100, '_save_checkpoints_secs': None, '_log_step_count_steps': 100}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_log_step_count_steps': 100, '_evaluation_master': '', '_global_id_in_cluster': 0, '_save_checkpoints_steps': 10000, '_task_id': 0, '_cluster_spec': , '_master': '', '_save_checkpoints_secs': None, '_task_type': 'worker', '_is_chief': True, '_num_ps_replicas': 0, '_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/c99dd42a-b437-49bd-b77f-93e6046a4987/outputs/Models', '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_save_summary_steps': 100}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_max': 5, '_save_checkpoints_steps': 10000, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_task_type': 'worker', '_save_summary_steps': 100, '_num_worker_replicas': 1, '_tf_random_seed': None, '_task_id': 0, '_num_ps_replicas': 0, '_master': '', '_is_chief': True, '_log_step_count_steps': 100, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_secs': None, '_evaluation_master': ''}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_global_id_in_cluster': 0, '_task_id': 0, '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_save_summary_steps': 100, '_is_chief': True, '_keep_checkpoint_max': 5, '_cluster_spec': , '_service': None, '_tf_random_seed': None, '_log_step_count_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_steps': 10000, '_task_type': 'worker', '_num_ps_replicas': 0, '_save_checkpoints_secs': None, '_keep_checkpoint_every_n_hours': 10000, '_master': '', '_evaluation_master': ''}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_log_step_count_steps': 100, '_cluster_spec': , '_service': None, '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_secs': None, '_task_type': 'worker', '_save_summary_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tf_random_seed': None, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_save_checkpoints_steps': 10000, '_evaluation_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_is_chief': True, '_master': ''}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_task_id': 0, '_num_worker_replicas': 1, '_is_chief': True, '_tf_random_seed': None, '_num_ps_replicas': 0, '_keep_checkpoint_every_n_hours': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_save_summary_steps': 100, '_evaluation_master': '', '_save_checkpoints_steps': 10000, '_master': '', '_task_type': 'worker', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_secs': None, '_global_id_in_cluster': 0, '_service': None, '_keep_checkpoint_max': 5, '_cluster_spec': }\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_steps': 10000, '_log_step_count_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_task_id': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_master': '', '_num_worker_replicas': 1, '_cluster_spec': , '_is_chief': True, '_task_type': 'worker', '_save_summary_steps': 100, '_evaluation_master': ''}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:43.469415: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:43.693303: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 80ff:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\n", - "2018-05-20 20:38:43.693363: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:43.755065: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:43.794488: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:43.885476: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:43.945754: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 80ff:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:43.978560: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: db62:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\n", - "2018-05-20 20:38:43.978615: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 20:38:44.003742: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 49a9:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\n", - "2018-05-20 20:38:44.003807: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 20:38:44.101034: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 3565:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\n", - "2018-05-20 20:38:44.101092: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:44.167262: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:44.225683: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: db62:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:44.251931: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 49a9:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:44.305524: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:44.345661: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:44.355192: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 3565:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:44.374289: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 9e96:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:44.374348: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 20:38:44.512160: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: f1a4:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\n", - "2018-05-20 20:38:44.512296: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:44.531484: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:44.544755: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:44.549988: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: bd61:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:44.550044: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 20:38:44.621172: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 9e96:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:44.731203: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 206c:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:44.731267: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 20:38:44.746329: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: f407:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:44.746389: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 20:38:44.766785: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: f1a4:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:44.796381: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: bd61:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:44.956036: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:44.997930: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: f407:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:44.994550: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 206c:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:45.150748: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: dc53:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:45.150808: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 20:38:45.400155: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: dc53:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:46.154973: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:46.388039: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: d4b8:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\n", - "2018-05-20 20:38:46.388191: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 20:38:46.629595: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: d4b8:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:46.684762: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:46.907064: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: bf07:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:46.907219: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:47.052421: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:47.156429: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: bf07:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:47.259360: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: d1e8:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.09GiB\n", - "2018-05-20 20:38:47.259419: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 20:38:47.527843: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10756 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: d1e8:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:47.918673: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:47.992758: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:48.011442: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:48.140408: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: e942:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:48.140468: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:48.319938: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:48.387422: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: e942:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:48.406523: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: a41d:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:48.406583: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-20 20:38:48.406791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: bfec:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:48.406836: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 20:38:48.555434: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 9059:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:48.555500: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 20:38:48.665107: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: a41d:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:48.677609: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10748 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: bfec:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:48.751779: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:48.798472: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 9059:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:48.912292: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:48.987770: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 6860:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:48.987893: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-20 20:38:49.160282: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: a690:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 20:38:49.160346: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 20:38:49.239925: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 3, name: Tesla K80, pci bus id: 6860:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:49.416572: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: a690:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:49.755057: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:49.852291: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:49.986136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 6ce7:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:49.986194: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:50.074150: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:50.107947: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 4e79:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 20:38:50.108005: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:50.176653: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:50.193823: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:50.272164: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 6ce7:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:50.310801: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 130c:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:50.310861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:50.349268: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:50.357169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 2, name: Tesla K80, pci bus id: 4e79:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:50.400752: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 0d48:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:50.400815: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:50.438955: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:50.444144: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 74ba:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:50.444203: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:50.460395: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:50.494331: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:50.576848: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: bbab:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.08GiB\n", - "2018-05-20 20:38:50.576904: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 20:38:50.587095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 130c:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:50.656731: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0d48:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:50.729470: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: a754:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 20:38:50.710863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 2d1e:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 20:38:50.710922: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 20:38:50.697092: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 74ba:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:50.839710: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10740 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: bbab:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:50.729573: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 20:38:50.860694: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 1936:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 20:38:50.976520: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 2d1e:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:50.860796: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 20:38:50.962173: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:51.119050: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: a754:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:51.129642: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 1936:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:51.191636: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 0402:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 20:38:51.191696: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "INFO:tensorflow:Graph was finalized.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:51.257174: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:51.255605: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:51.454354: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0402:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:51.485713: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 58af:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 20:38:51.485778: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 20:38:51.494233: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: 8be6:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 20:38:51.494291: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 20:38:51.593921: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-20 20:38:51.748814: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 58af:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:51.784283: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: 8be6:00:00.0, compute capability: 3.7)\n", - "2018-05-20 20:38:51.814559: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", - "pciBusID: c6a2:00:00.0\n", - "totalMemory: 11.17GiB freeMemory: 11.07GiB\n", - "2018-05-20 20:38:51.814621: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-20 20:38:52.148326: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10732 MB memory) -> physical GPU (device: 1, name: Tesla K80, pci bus id: c6a2:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/c99dd42a-b437-49bd-b77f-93e6046a4987/outputs/Models/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:step = 1, loss = 8.371138\n", - "INFO:tensorflow:step = 1, loss = 7.9485703\n", - "INFO:tensorflow:loss = 7.684571, step = 1\n", - "INFO:tensorflow:loss = 8.185096, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.080225\n", - "INFO:tensorflow:loss = 7.968444, step = 1\n", - "INFO:tensorflow:loss = 7.6914616, step = 1\n", - "INFO:tensorflow:loss = 8.0595255, step = 1\n", - "INFO:tensorflow:loss = 7.8610754, step = 1\n", - "INFO:tensorflow:loss = 7.5661125, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.103772\n", - "INFO:tensorflow:loss = 8.165053, step = 1\n", - "INFO:tensorflow:loss = 7.8953247, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.043358\n", - "INFO:tensorflow:step = 1, loss = 7.902718\n", - "INFO:tensorflow:step = 1, loss = 7.943532\n", - "INFO:tensorflow:loss = 8.056501, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.742863\n", - "INFO:tensorflow:step = 1, loss = 7.762912\n", - "INFO:tensorflow:step = 1, loss = 7.8410807\n", - "INFO:tensorflow:step = 1, loss = 8.220753\n", - "INFO:tensorflow:step = 1, loss = 7.6919966\n", - "INFO:tensorflow:step = 1, loss = 7.889457\n", - "INFO:tensorflow:step = 1, loss = 7.7736096\n", - "INFO:tensorflow:loss = 7.9748144, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.9368324\n", - "INFO:tensorflow:step = 1, loss = 7.850791\n", - "INFO:tensorflow:step = 1, loss = 7.9231687\n", - "INFO:tensorflow:loss = 7.8347936, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.738309\n", - "INFO:tensorflow:step = 1, loss = 8.1266575\n", - "INFO:tensorflow:loss = 7.98434, step = 1\n", - "INFO:tensorflow:global_step/sec: 0.59429\n", - "INFO:tensorflow:global_step/sec: 0.585722\n", - "INFO:tensorflow:global_step/sec: 0.599088\n", - "INFO:tensorflow:global_step/sec: 0.580772\n", - "INFO:tensorflow:global_step/sec: 0.597765\n", - "INFO:tensorflow:global_step/sec: 0.586159\n", - "INFO:tensorflow:global_step/sec: 0.592904\n", - "INFO:tensorflow:global_step/sec: 0.610642\n", - "INFO:tensorflow:global_step/sec: 0.600986\n", - "INFO:tensorflow:global_step/sec: 0.68352\n", - "INFO:tensorflow:global_step/sec: 0.584694\n", - "INFO:tensorflow:global_step/sec: 0.5889\n", - "INFO:tensorflow:global_step/sec: 0.603561\n", - "INFO:tensorflow:global_step/sec: 0.592307\n", - "INFO:tensorflow:global_step/sec: 0.598824\n", - "INFO:tensorflow:global_step/sec: 0.623339\n", - "INFO:tensorflow:global_step/sec: 0.591478\n", - "INFO:tensorflow:step = 101, loss = 6.6691127 (170.731 sec)\n", - "INFO:tensorflow:global_step/sec: 0.623633\n", - "INFO:tensorflow:global_step/sec: 0.595128\n", - "INFO:tensorflow:global_step/sec: 0.579975\n", - "INFO:tensorflow:global_step/sec: 0.598338\n", - "INFO:tensorflow:global_step/sec: 0.58752\n", - "INFO:tensorflow:global_step/sec: 0.600955\n", - "INFO:tensorflow:global_step/sec: 0.585511\n", - "INFO:tensorflow:step = 101, loss = 6.8922663 (168.269 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.6213045 (166.921 sec)\n", - "INFO:tensorflow:global_step/sec: 0.599938\n", - "INFO:tensorflow:step = 101, loss = 6.6798477 (167.291 sec)\n", - "INFO:tensorflow:loss = 6.7213354, step = 101 (170.603 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.545246 (166.995 sec)\n", - "INFO:tensorflow:step = 101, loss = 7.008405 (163.763 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.849699 (166.394 sec)\n", - "INFO:tensorflow:global_step/sec: 0.600262\n", - "INFO:tensorflow:global_step/sec: 0.609422\n", - "INFO:tensorflow:step = 101, loss = 6.7120953 (172.217 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.721959 (165.684 sec)\n", - "INFO:tensorflow:loss = 6.7275376, step = 101 (168.833 sec)\n", - "INFO:tensorflow:loss = 6.638898, step = 101 (168.663 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.6823387 (160.427 sec)\n", - "INFO:tensorflow:global_step/sec: 0.611783\n", - "INFO:tensorflow:step = 101, loss = 6.7170706 (166.595 sec)\n", - "INFO:tensorflow:loss = 6.7053347, step = 101 (171.031 sec)\n", - "INFO:tensorflow:loss = 6.694286, step = 101 (169.841 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.743595 (172.422 sec)\n", - "INFO:tensorflow:loss = 6.5970354, step = 101 (167.131 sec)\n", - "INFO:tensorflow:loss = 6.8931494, step = 101 (170.207 sec)\n", - "INFO:tensorflow:global_step/sec: 0.587121\n", - "INFO:tensorflow:step = 101, loss = 6.726548 (169.069 sec)\n", - "INFO:tensorflow:loss = 6.7684383, step = 101 (146.433 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.5332546 (160.351 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.6063986 (168.064 sec)\n", - "INFO:tensorflow:global_step/sec: 0.590881\n", - "INFO:tensorflow:global_step/sec: 0.604845\n", - "INFO:tensorflow:global_step/sec: 0.605159\n", - "INFO:tensorflow:step = 101, loss = 6.8334675 (166.402 sec)\n", - "INFO:tensorflow:loss = 6.655502, step = 101 (170.792 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.7022486 (164.091 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.769742 (166.715 sec)\n", - "INFO:tensorflow:loss = 6.8881917, step = 101 (169.240 sec)\n", - "INFO:tensorflow:loss = 6.919527, step = 101 (165.333 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.4775496 (165.247 sec)\n", - "INFO:tensorflow:loss = 6.776395, step = 101 (170.323 sec)\n", - "INFO:tensorflow:loss = 6.6373935, step = 101 (163.457 sec)\n", - "INFO:tensorflow:global_step/sec: 0.705037\n", - "INFO:tensorflow:global_step/sec: 0.705036\n", - "INFO:tensorflow:global_step/sec: 0.70504\n", - "INFO:tensorflow:global_step/sec: 0.705046\n", - "INFO:tensorflow:global_step/sec: 0.705032\n", - "INFO:tensorflow:global_step/sec: 0.705025\n", - "INFO:tensorflow:global_step/sec: 0.705038\n", - "INFO:tensorflow:global_step/sec: 0.705041\n", - "INFO:tensorflow:global_step/sec: 0.705033\n", - "INFO:tensorflow:global_step/sec: 0.705038\n", - "INFO:tensorflow:global_step/sec: 0.705044\n", - "INFO:tensorflow:global_step/sec: 0.705041\n", - "INFO:tensorflow:global_step/sec: 0.705039\n", - "INFO:tensorflow:global_step/sec: 0.705025\n", - "INFO:tensorflow:global_step/sec: 0.705039\n", - "INFO:tensorflow:global_step/sec: 0.705082\n", - "INFO:tensorflow:global_step/sec: 0.705038\n", - "INFO:tensorflow:global_step/sec: 0.705038\n", - "INFO:tensorflow:global_step/sec: 0.705037\n", - "INFO:tensorflow:global_step/sec: 0.705042\n", - "INFO:tensorflow:global_step/sec: 0.70503\n", - "INFO:tensorflow:global_step/sec: 0.705027\n", - "INFO:tensorflow:global_step/sec: 0.705035\n", - "INFO:tensorflow:global_step/sec: 0.705039\n", - "INFO:tensorflow:loss = 6.1948376, step = 201 (141.837 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.327879 (141.836 sec)\n", - "INFO:tensorflow:global_step/sec: 0.705042\n", - "INFO:tensorflow:loss = 6.2652025, step = 201 (141.834 sec)\n", - "INFO:tensorflow:global_step/sec: 0.705026\n", - "INFO:tensorflow:global_step/sec: 0.70503\n", - "INFO:tensorflow:loss = 6.2183743, step = 201 (141.805 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.2149267 (141.836 sec)\n", - "INFO:tensorflow:global_step/sec: 0.705068\n", - "INFO:tensorflow:global_step/sec: 0.705036\n", - "INFO:tensorflow:loss = 6.4908257, step = 201 (141.835 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.154778 (141.836 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.237261 (141.836 sec)\n", - "INFO:tensorflow:loss = 6.2411404, step = 201 (141.839 sec)\n", - "INFO:tensorflow:global_step/sec: 0.705035\n", - "INFO:tensorflow:step = 201, loss = 6.2623005 (141.836 sec)\n", - "INFO:tensorflow:loss = 6.194082, step = 201 (141.837 sec)\n", - "INFO:tensorflow:loss = 6.546225, step = 201 (141.836 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.4528003 (141.836 sec)\n", - "INFO:tensorflow:global_step/sec: 0.705038\n", - "INFO:tensorflow:step = 201, loss = 6.4280577 (141.838 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.332855 (141.839 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.52812 (141.805 sec)\n", - "INFO:tensorflow:loss = 6.3107934, step = 201 (141.827 sec)\n", - "INFO:tensorflow:loss = 6.313759, step = 201 (141.836 sec)\n", - "INFO:tensorflow:loss = 6.193864, step = 201 (141.837 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.5079384 (141.837 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.2742815 (141.836 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.2366242 (141.839 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.633868 (141.839 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.348112 (141.805 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.1942863 (141.836 sec)\n", - "INFO:tensorflow:loss = 6.3523808, step = 201 (141.830 sec)\n", - "INFO:tensorflow:global_step/sec: 0.705027\n", - "INFO:tensorflow:step = 201, loss = 6.0677986 (141.838 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.2535286 (141.836 sec)\n", - "INFO:tensorflow:loss = 6.181439, step = 201 (141.836 sec)\n", - "INFO:tensorflow:loss = 6.0725336, step = 201 (141.830 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.009653 (141.838 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.1745477 (141.805 sec)\n", - "INFO:tensorflow:global_step/sec: 0.703336\n", - "INFO:tensorflow:global_step/sec: 0.703339\n", - "INFO:tensorflow:global_step/sec: 0.703325\n", - "INFO:tensorflow:global_step/sec: 0.703345\n", - "INFO:tensorflow:global_step/sec: 0.703333\n", - "INFO:tensorflow:global_step/sec: 0.703334\n", - "INFO:tensorflow:global_step/sec: 0.703335\n", - "INFO:tensorflow:global_step/sec: 0.703336\n", - "INFO:tensorflow:global_step/sec: 0.703337\n", - "INFO:tensorflow:global_step/sec: 0.703334\n", - "INFO:tensorflow:global_step/sec: 0.703325\n", - "INFO:tensorflow:global_step/sec: 0.703335\n", - "INFO:tensorflow:global_step/sec: 0.703332\n", - "INFO:tensorflow:global_step/sec: 0.703334\n", - "INFO:tensorflow:global_step/sec: 0.703354\n", - "INFO:tensorflow:global_step/sec: 0.703335\n", - "INFO:tensorflow:global_step/sec: 0.703333\n", - "INFO:tensorflow:global_step/sec: 0.703332\n", - "INFO:tensorflow:global_step/sec: 0.703325\n", - "INFO:tensorflow:global_step/sec: 0.703335\n", - "INFO:tensorflow:global_step/sec: 0.703328\n", - "INFO:tensorflow:global_step/sec: 0.703327\n", - "INFO:tensorflow:global_step/sec: 0.703333\n", - "INFO:tensorflow:global_step/sec: 0.703333\n", - "INFO:tensorflow:step = 301, loss = 5.8348107 (142.179 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.69646 (142.179 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.8373027 (142.182 sec)\n", - "INFO:tensorflow:global_step/sec: 0.703338\n", - "INFO:tensorflow:step = 301, loss = 6.1412983 (142.181 sec)\n", - "INFO:tensorflow:global_step/sec: 0.703332\n", - "INFO:tensorflow:global_step/sec: 0.703334\n", - "INFO:tensorflow:global_step/sec: 0.70333\n", - "INFO:tensorflow:loss = 6.112934, step = 301 (142.180 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.7609243 (142.180 sec)\n", - "INFO:tensorflow:loss = 5.859332, step = 301 (142.182 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.871567 (142.178 sec)\n", - "INFO:tensorflow:loss = 6.1790924, step = 301 (142.181 sec)\n", - "INFO:tensorflow:loss = 5.985009, step = 301 (142.180 sec)\n", - "INFO:tensorflow:loss = 5.9601803, step = 301 (142.180 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.8083 (142.179 sec)\n", - "INFO:tensorflow:global_step/sec: 0.703325\n", - "INFO:tensorflow:step = 301, loss = 5.6839585 (142.179 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.856002 (142.182 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.6939535 (142.179 sec)\n", - "INFO:tensorflow:global_step/sec: 0.703325\n", - "INFO:tensorflow:loss = 5.8999863, step = 301 (142.180 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.053481 (142.176 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.2069683 (142.180 sec)\n", - "INFO:tensorflow:loss = 5.9924445, step = 301 (142.182 sec)\n", - "INFO:tensorflow:loss = 5.9034524, step = 301 (142.178 sec)\n", - "INFO:tensorflow:global_step/sec: 0.703282\n", - "INFO:tensorflow:loss = 5.8563766, step = 301 (142.180 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.1701465 (142.182 sec)\n", - "INFO:tensorflow:loss = 5.7524533, step = 301 (142.180 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.0301914 (142.181 sec)\n", - "INFO:tensorflow:loss = 6.1043367, step = 301 (142.180 sec)\n", - "INFO:tensorflow:global_step/sec: 0.703274\n", - "INFO:tensorflow:step = 301, loss = 5.869543 (142.190 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.476948 (142.179 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.6881847 (142.195 sec)\n", - "INFO:tensorflow:loss = 6.136349, step = 301 (142.183 sec)\n", - "INFO:tensorflow:loss = 6.00653, step = 301 (142.180 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.97562 (142.180 sec)\n", - "INFO:tensorflow:step = 301, loss = 5.891141 (142.192 sec)\n", - "INFO:tensorflow:global_step/sec: 0.669422\n", - "INFO:tensorflow:global_step/sec: 0.669422\n", - "INFO:tensorflow:global_step/sec: 0.669417\n", - "INFO:tensorflow:global_step/sec: 0.669406\n", - "INFO:tensorflow:global_step/sec: 0.669416\n", - "INFO:tensorflow:global_step/sec: 0.669422\n", - "INFO:tensorflow:global_step/sec: 0.669415\n", - "INFO:tensorflow:global_step/sec: 0.669421\n", - "INFO:tensorflow:global_step/sec: 0.669419\n", - "INFO:tensorflow:global_step/sec: 0.669475\n", - "INFO:tensorflow:global_step/sec: 0.669415\n", - "INFO:tensorflow:global_step/sec: 0.669443\n", - "INFO:tensorflow:global_step/sec: 0.669417\n", - "INFO:tensorflow:global_step/sec: 0.669418\n", - "INFO:tensorflow:global_step/sec: 0.669418\n", - "INFO:tensorflow:global_step/sec: 0.669419\n", - "INFO:tensorflow:global_step/sec: 0.669416\n", - "INFO:tensorflow:global_step/sec: 0.669421\n", - "INFO:tensorflow:global_step/sec: 0.669417\n", - "INFO:tensorflow:global_step/sec: 0.669405\n", - "INFO:tensorflow:global_step/sec: 0.669411\n", - "INFO:tensorflow:global_step/sec: 0.669418\n", - "INFO:tensorflow:loss = 5.820468, step = 401 (149.381 sec)\n", - "INFO:tensorflow:global_step/sec: 0.669423\n", - "INFO:tensorflow:global_step/sec: 0.669414\n", - "INFO:tensorflow:global_step/sec: 0.669418\n", - "INFO:tensorflow:global_step/sec: 0.669415\n", - "INFO:tensorflow:step = 401, loss = 6.0004034 (149.386 sec)\n", - "INFO:tensorflow:loss = 5.550892, step = 401 (149.383 sec)\n", - "INFO:tensorflow:global_step/sec: 0.669424\n", - "INFO:tensorflow:global_step/sec: 0.66941\n", - "INFO:tensorflow:global_step/sec: 0.669417\n", - "INFO:tensorflow:loss = 5.6540008, step = 401 (149.383 sec)\n", - "INFO:tensorflow:global_step/sec: 0.669434\n", - "INFO:tensorflow:step = 401, loss = 5.567116 (149.385 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.8352175 (149.377 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.89915 (149.383 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.8177347 (149.384 sec)\n", - "INFO:tensorflow:loss = 5.7028284, step = 401 (149.384 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.7714353 (149.383 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.8561907 (149.383 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.6035104 (149.370 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.696303 (149.385 sec)\n", - "INFO:tensorflow:loss = 5.9927163, step = 401 (149.387 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.3109255 (149.385 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.304947 (149.382 sec)\n", - "INFO:tensorflow:loss = 5.6544533, step = 401 (149.384 sec)\n", - "INFO:tensorflow:loss = 5.6451583, step = 401 (149.382 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.44308 (149.384 sec)\n", - "INFO:tensorflow:loss = 5.7262955, step = 401 (149.383 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.5828924 (149.385 sec)\n", - "INFO:tensorflow:global_step/sec: 0.669294\n", - "INFO:tensorflow:global_step/sec: 0.669366\n", - "INFO:tensorflow:loss = 5.751783, step = 401 (149.383 sec)\n", - "INFO:tensorflow:loss = 5.548305, step = 401 (149.386 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.518891 (149.384 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.7655964 (149.384 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.5094614 (149.384 sec)\n", - "INFO:tensorflow:loss = 5.777441, step = 401 (149.421 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.7545137 (149.411 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.7493052 (149.396 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.3934584 (149.369 sec)\n", - "INFO:tensorflow:loss = 5.598117, step = 401 (149.385 sec)\n", - "INFO:tensorflow:loss = 5.633317, step = 401 (149.380 sec)\n", - "INFO:tensorflow:global_step/sec: 0.64471\n", - "INFO:tensorflow:global_step/sec: 0.644689\n", - "INFO:tensorflow:global_step/sec: 0.644668\n", - "INFO:tensorflow:global_step/sec: 0.6447\n", - "INFO:tensorflow:global_step/sec: 0.644705\n", - "INFO:tensorflow:global_step/sec: 0.644681\n", - "INFO:tensorflow:global_step/sec: 0.644686\n", - "INFO:tensorflow:global_step/sec: 0.644696\n", - "INFO:tensorflow:global_step/sec: 0.64469\n", - "INFO:tensorflow:global_step/sec: 0.644685\n", - "INFO:tensorflow:global_step/sec: 0.644772\n", - "INFO:tensorflow:global_step/sec: 0.644697\n", - "INFO:tensorflow:step = 501, loss = 5.734387 (155.109 sec)\n", - "INFO:tensorflow:global_step/sec: 0.644686\n", - "INFO:tensorflow:global_step/sec: 0.644683\n", - "INFO:tensorflow:global_step/sec: 0.644691\n", - "INFO:tensorflow:global_step/sec: 0.644688\n", - "INFO:tensorflow:step = 501, loss = 5.4801455 (155.112 sec)\n", - "INFO:tensorflow:global_step/sec: 0.644668\n", - "INFO:tensorflow:loss = 5.5177517, step = 501 (155.111 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.21362 (155.110 sec)\n", - "INFO:tensorflow:loss = 4.745642, step = 501 (155.116 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.168024 (155.114 sec)\n", - "INFO:tensorflow:loss = 5.5715065, step = 501 (155.112 sec)\n", - "INFO:tensorflow:loss = 5.265933, step = 501 (155.114 sec)\n", - "INFO:tensorflow:global_step/sec: 0.644683\n", - "INFO:tensorflow:global_step/sec: 0.644666\n", - "INFO:tensorflow:step = 501, loss = 5.289731 (155.111 sec)\n", - "INFO:tensorflow:global_step/sec: 0.644694\n", - "INFO:tensorflow:loss = 5.231554, step = 501 (155.113 sec)\n", - "INFO:tensorflow:loss = 5.036792, step = 501 (155.115 sec)\n", - "INFO:tensorflow:global_step/sec: 0.644689\n", - "INFO:tensorflow:step = 501, loss = 5.0882277 (155.114 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.2048283 (155.114 sec)\n", - "INFO:tensorflow:loss = 4.82883, step = 501 (155.118 sec)\n", - "INFO:tensorflow:global_step/sec: 0.644739\n", - "INFO:tensorflow:global_step/sec: 0.644695\n", - "INFO:tensorflow:global_step/sec: 0.644649\n", - "INFO:tensorflow:global_step/sec: 0.644676\n", - "INFO:tensorflow:global_step/sec: 0.644677\n", - "INFO:tensorflow:global_step/sec: 0.644657\n", - "INFO:tensorflow:global_step/sec: 0.644676\n", - "INFO:tensorflow:step = 501, loss = 5.3634977 (155.128 sec)\n", - "INFO:tensorflow:global_step/sec: 0.644696\n", - "INFO:tensorflow:loss = 5.2845097, step = 501 (155.112 sec)\n", - "INFO:tensorflow:global_step/sec: 0.644649\n", - "INFO:tensorflow:step = 501, loss = 5.481879 (155.116 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.4830713 (155.138 sec)\n", - "INFO:tensorflow:loss = 5.4363403, step = 501 (155.122 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.62992 (155.116 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.1077547 (155.154 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.080496 (155.101 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.2338247 (155.112 sec)\n", - "INFO:tensorflow:loss = 5.454477, step = 501 (155.123 sec)\n", - "INFO:tensorflow:global_step/sec: 0.64466\n", - "INFO:tensorflow:step = 501, loss = 5.050995 (155.138 sec)\n", - "INFO:tensorflow:global_step/sec: 0.644645\n", - "INFO:tensorflow:loss = 5.3036404, step = 501 (155.112 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.0511904 (155.154 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.511997 (155.113 sec)\n", - "INFO:tensorflow:loss = 5.2862167, step = 501 (155.123 sec)\n", - "INFO:tensorflow:loss = 5.1907682, step = 501 (155.119 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.694476 (155.139 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.277629 (155.124 sec)\n", - "INFO:tensorflow:global_step/sec: 0.685565\n", - "INFO:tensorflow:global_step/sec: 0.685562\n", - "INFO:tensorflow:global_step/sec: 0.685558\n", - "INFO:tensorflow:global_step/sec: 0.685546\n", - "INFO:tensorflow:global_step/sec: 0.685553\n", - "INFO:tensorflow:global_step/sec: 0.685565\n", - "INFO:tensorflow:global_step/sec: 0.685568\n", - "INFO:tensorflow:global_step/sec: 0.685555\n", - "INFO:tensorflow:global_step/sec: 0.685561\n", - "INFO:tensorflow:global_step/sec: 0.685569\n", - "INFO:tensorflow:global_step/sec: 0.685554\n", - "INFO:tensorflow:global_step/sec: 0.685548\n", - "INFO:tensorflow:global_step/sec: 0.685534\n", - "INFO:tensorflow:global_step/sec: 0.685605\n", - "INFO:tensorflow:global_step/sec: 0.685595\n", - "INFO:tensorflow:global_step/sec: 0.68555\n", - "INFO:tensorflow:global_step/sec: 0.685608\n", - "INFO:tensorflow:global_step/sec: 0.685557\n", - "INFO:tensorflow:step = 601, loss = 5.2765646 (145.832 sec)\n", - "INFO:tensorflow:global_step/sec: 0.685551\n", - "INFO:tensorflow:global_step/sec: 0.685551\n", - "INFO:tensorflow:global_step/sec: 0.685566\n", - "INFO:tensorflow:global_step/sec: 0.685575\n", - "INFO:tensorflow:global_step/sec: 0.685561\n", - "INFO:tensorflow:loss = 5.1737614, step = 601 (145.866 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.0248632 (145.865 sec)\n", - "INFO:tensorflow:global_step/sec: 0.68555\n", - "INFO:tensorflow:loss = 5.1196, step = 601 (145.869 sec)\n", - "INFO:tensorflow:global_step/sec: 0.685538\n", - "INFO:tensorflow:global_step/sec: 0.685602\n", - "INFO:tensorflow:global_step/sec: 0.685567\n", - "INFO:tensorflow:step = 601, loss = 5.13439 (145.841 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.299244 (145.856 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.146287 (145.864 sec)\n", - "INFO:tensorflow:loss = 5.260545, step = 601 (145.867 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.0434914 (145.869 sec)\n", - "INFO:tensorflow:step = 601, loss = 4.9483385 (145.871 sec)\n", - "INFO:tensorflow:loss = 5.2135305, step = 601 (145.864 sec)\n", - "INFO:tensorflow:loss = 4.872013, step = 601 (145.858 sec)\n", - "INFO:tensorflow:loss = 4.8370533, step = 601 (145.868 sec)\n", - "INFO:tensorflow:global_step/sec: 0.685589\n", - "INFO:tensorflow:step = 601, loss = 5.5537815 (145.867 sec)\n", - "INFO:tensorflow:global_step/sec: 0.685547\n", - "INFO:tensorflow:step = 601, loss = 4.669752 (145.868 sec)\n", - "INFO:tensorflow:loss = 4.9643955, step = 601 (145.868 sec)\n", - "INFO:tensorflow:loss = 5.296519, step = 601 (145.865 sec)\n", - "INFO:tensorflow:step = 601, loss = 4.883917 (145.864 sec)\n", - "INFO:tensorflow:step = 601, loss = 4.9046974 (145.841 sec)\n", - "INFO:tensorflow:loss = 5.1664677, step = 601 (145.859 sec)\n", - "INFO:tensorflow:loss = 5.2914104, step = 601 (145.828 sec)\n", - "INFO:tensorflow:step = 601, loss = 4.9572573 (145.834 sec)\n", - "INFO:tensorflow:global_step/sec: 0.685545\n", - "INFO:tensorflow:step = 601, loss = 5.4424467 (145.868 sec)\n", - "INFO:tensorflow:loss = 4.816808, step = 601 (145.857 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.3223166 (145.863 sec)\n", - "INFO:tensorflow:global_step/sec: 0.685569\n", - "INFO:tensorflow:global_step/sec: 0.685445\n", - "INFO:tensorflow:step = 601, loss = 4.692088 (145.841 sec)\n", - "INFO:tensorflow:step = 601, loss = 4.8919787 (145.868 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.2834864 (145.871 sec)\n", - "INFO:tensorflow:loss = 5.0423145, step = 601 (145.857 sec)\n", - "INFO:tensorflow:loss = 4.920682, step = 601 (145.865 sec)\n", - "INFO:tensorflow:step = 601, loss = 4.740216 (145.843 sec)\n", - "INFO:tensorflow:step = 601, loss = 4.994935 (145.890 sec)\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/c99dd42a-b437-49bd-b77f-93e6046a4987/outputs/Models/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Loss for final step: 5.366476.\n", - "INFO:__main__:Training took 1334.493 seconds\n", - "INFO:tensorflow:Loss for final step: 5.0812054.\n", - "INFO:__main__:Training took 1335.139 seconds\n", - "INFO:tensorflow:Loss for final step: 5.0499954.\n", - "INFO:__main__:Training took 1335.766 seconds\n", - "INFO:tensorflow:Loss for final step: 5.0477753.\n", - "INFO:__main__:Training took 1335.538 seconds\n", - "INFO:tensorflow:Loss for final step: 5.2221828.\n", - "INFO:__main__:Training took 1336.702 seconds\n", - "INFO:tensorflow:Loss for final step: 5.1868076.\n", - "INFO:__main__:Training took 1335.307 seconds\n", - "INFO:tensorflow:Loss for final step: 5.185297.\n", - "INFO:__main__:Training took 1335.352 seconds\n", - "INFO:tensorflow:Loss for final step: 5.3882875.\n", - "INFO:__main__:Training took 1336.026 seconds\n", - "INFO:tensorflow:Loss for final step: 4.7028427.\n", - "INFO:__main__:Training took 1337.700 seconds\n", - "INFO:tensorflow:Loss for final step: 4.948392.\n", - "INFO:__main__:Training took 1338.475 seconds\n", - "INFO:tensorflow:Loss for final step: 5.021181.\n", - "INFO:__main__:Training took 1338.712 seconds\n", - "INFO:tensorflow:Loss for final step: 5.3227725.\n", - "INFO:__main__:Training took 1338.914 seconds\n", - "INFO:tensorflow:Loss for final step: 4.8070536.\n", - "INFO:__main__:Training took 1338.282 seconds\n", - "INFO:tensorflow:Loss for final step: 4.6487103.\n", - "INFO:__main__:Training took 1339.182 seconds\n", - "INFO:tensorflow:Loss for final step: 4.669697.\n", - "INFO:__main__:Training took 1338.928 seconds\n", - "INFO:tensorflow:Loss for final step: 4.9577765.\n", - "INFO:__main__:Training took 1337.837 seconds\n", - "INFO:tensorflow:Loss for final step: 4.9900036.\n", - "INFO:__main__:Training took 1340.120 seconds\n", - "INFO:tensorflow:Loss for final step: 5.3918915.\n", - "INFO:__main__:Training took 1339.453 seconds\n", - "INFO:tensorflow:Loss for final step: 4.992399.\n", - "INFO:tensorflow:Loss for final step: 4.6624784.\n", - "INFO:__main__:Training took 1338.783 seconds\n", - "INFO:__main__:Training took 1339.868 seconds\n", - "INFO:tensorflow:Loss for final step: 4.8175445.\n", - "INFO:__main__:Training took 1338.974 seconds\n", - "INFO:tensorflow:Loss for final step: 4.822282.\n", - "INFO:__main__:Training took 1340.592 seconds\n", - "INFO:tensorflow:Loss for final step: 5.1564283.\n", - "INFO:__main__:Training took 1341.325 seconds\n", - "INFO:tensorflow:Loss for final step: 4.9038067.\n", - "INFO:__main__:Training took 1341.221 seconds\n", - "INFO:tensorflow:Loss for final step: 4.712262.\n", - "INFO:__main__:Training took 1341.577 seconds\n", - "INFO:tensorflow:Loss for final step: 5.030031.\n", - "INFO:__main__:Training took 1342.776 seconds\n", - "INFO:tensorflow:Loss for final step: 4.7942047.\n", - "INFO:__main__:Training took 1342.493 seconds\n", - "INFO:tensorflow:Loss for final step: 4.8932104.\n", - "INFO:__main__:Training took 1344.205 seconds\n", - "INFO:tensorflow:Loss for final step: 5.0979476.\n", - "INFO:__main__:Training took 1344.840 seconds\n", - "INFO:tensorflow:Loss for final step: 5.03101.\n", - "INFO:__main__:Training took 1344.103 seconds\n", - "INFO:tensorflow:Loss for final step: 4.7461867.\n", - "INFO:__main__:Training took 1345.829 seconds\n", - "INFO:tensorflow:Loss for final step: 5.080989.\n", - "INFO:__main__:Training took 1353.920 seconds\n", - "INFO:__main__:Testing...\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Starting evaluation at 2018-05-20-21:01:04\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-20 21:01:05.537701: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-20 21:01:05.537938: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2749 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 1936:00:00.0, compute capability: 3.7)\n", - "INFO:tensorflow:Restoring parameters from /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/c99dd42a-b437-49bd-b77f-93e6046a4987/outputs/Models/model.ckpt-625\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "^C\r\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stderr.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "10.0.0.5,10.0.0.6,10.0.0.7,10.0.0.8,10.0.0.9,10.0.0.10,10.0.0.11,10.0.0.12\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai job delete --name horovod_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 176, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchbd667ecbrg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:py35]", - "language": "python", - "name": "conda-env-py35-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control_tf/HorovodImagenetBatchAI-NFS.ipynb b/_tmp/control_tf/HorovodImagenetBatchAI-NFS.ipynb deleted file mode 100644 index fb09d65..0000000 --- a/_tmp/control_tf/HorovodImagenetBatchAI-NFS.ipynb +++ /dev/null @@ -1,2927 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mTo sign in, use a web browser to open the page https://microsoft.com/devicelogin and enter the code ABNVKQJ47 to authenticate.\u001b[0m\n", - "CloudName Name State TenantId IsDefault\n", - "----------- ----------------------------- ------- ------------------------------------ -----------\n", - "AzureCloud Boston DS Dev Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Azure Internal - London Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Danielle Internal Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47 True\n", - "AzureCloud Visual Studio Enterprise Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Boston Engineering Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud ADLTrainingMS Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyExt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Ads Eng Big Data Subscription Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling Preview Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Data Wrangling development Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud AzureML Client PROD Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud R portal - Production Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud PhillyInt Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Project Vienna Demo 1 Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Solution Template Testing Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Team Ilan Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n", - "AzureCloud Marketing Automation Enabled 72f988bf-86f1-41af-91ab-2d7cd011db47\n" - ] - } - ], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az provider register -n Microsoft.BatchAI\n", - "!az provider register -n Microsoft.Batch" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n", - "UST Container Registration AzureCloud 1f65a667-2b81-49ca-aea3-f8dd9fd3e1d9 Enabled\r\n", - "ASutton Subscription AzureCloud 10d0b7c6-9243-4713-91a9-2730375d3a1b Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "azure-cli (2.0.24)\r\n", - "\r\n", - "acr (2.0.18)\r\n", - "acs (2.0.23)\r\n", - "advisor (0.1.1)\r\n", - "appservice (0.1.23)\r\n", - "backup (1.0.4)\r\n", - "batch (3.1.8)\r\n", - "batchai (0.1.4)\r\n", - "billing (0.1.7)\r\n", - "cdn (0.0.11)\r\n", - "cloud (2.0.11)\r\n", - "cognitiveservices (0.1.10)\r\n", - "command-modules-nspkg (2.0.1)\r\n", - "configure (2.0.13)\r\n", - "consumption (0.2.1)\r\n", - "container (0.1.16)\r\n", - "core (2.0.24)\r\n", - "cosmosdb (0.1.16)\r\n", - "dla (0.0.16)\r\n", - "dls (0.0.19)\r\n", - "eventgrid (0.1.7)\r\n", - "extension (0.0.7)\r\n", - "feedback (2.0.7)\r\n", - "find (0.2.8)\r\n", - "interactive (0.3.12)\r\n", - "iot (0.1.16)\r\n", - "keyvault (2.0.16)\r\n", - "lab (0.0.14)\r\n", - "monitor (0.0.14)\r\n", - "network (2.0.20)\r\n", - "nspkg (3.0.1)\r\n", - "profile (2.0.17)\r\n", - "rdbms (0.0.10)\r\n", - "redis (0.2.11)\r\n", - "reservations (0.1.1)\r\n", - "resource (2.0.20)\r\n", - "role (2.0.16)\r\n", - "servicefabric (0.0.8)\r\n", - "sql (2.0.18)\r\n", - "storage (2.0.22)\r\n", - "vm (2.0.23)\r\n", - "\r\n", - "Python location '/opt/az/bin/python3'\r\n", - "Extensions directory '/home/mat/.azure/cliextensions'\r\n", - "\r\n", - "Python (Linux) 3.6.1 (default, Jan 5 2018, 21:18:08) \r\n", - "[GCC 4.8.4]\r\n", - "\r\n", - "Legal docs and information: aka.ms/AzureCliLegal\r\n", - "\r\n", - "\r\n" - ] - } - ], - "source": [ - "!az --version" - ] - }, - { - "cell_type": "code", - "execution_count": 232, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import os\n", - "import uuid\n", - "import random\n", - "import json\n", - "\n", - "def write_json_to_file(json_dict, filename):\n", - " \"\"\" Simple function to write JSON dictionaries to files\n", - " \"\"\"\n", - " with open(filename, 'w') as outfile:\n", - " json.dump(json_dict, outfile)\n", - "\n", - "LOCATION = 'eastus' # We are setting everything up in East US\n", - " # Be aware that you need to set things up in a region that has GPU VMs (N-Series)\n", - "\n", - "short_uuid = str(uuid.uuid4())[:8]\n", - "GROUP_NAME = \"batch{uuid}rg\".format(uuid=short_uuid)\n", - "STORAGE_ACCOUNT_NAME = \"batch{uuid}st\".format(uuid=short_uuid)\n", - "CONTAINER_NAME = \"batch{uuid}container\".format(uuid=short_uuid)\n", - "FILESHARE_NAME = \"batch{uuid}share\".format(uuid=short_uuid)\n", - "NFS_NAME=\"batch{uuid}nfs\".format(uuid=short_uuid)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "Location Name\n", - "---------- ---------------\n", - "eastus batch6c03bc15rg\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account batchfcab5890st provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 233, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join([i for i in json_data if 'WARNING' not in i]))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": false\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage share create --account-name $STORAGE_ACCOUNT_NAME \\\n", - "--account-key $storage_account_key --name $FILESHARE_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage directory create --share-name $FILESHARE_NAME --name scripts \\\n", - "--account-name $STORAGE_ACCOUNT_NAME --account-key $storage_account_key" - ] - }, - { - "cell_type": "code", - "execution_count": 234, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 235, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 236, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_ACCOUNT=batchfcab5890st\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_ACCOUNT $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 237, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: AZURE_STORAGE_KEY=qTUeM/dh+vIhiKcrYx3EkvJKEOACztR2D7GAxE/5bRXnkxdU1T3e1JyYmbL4Rr43AMt6NMYW3OXPrg0iiyLk1g==\n" - ] - } - ], - "source": [ - "%env AZURE_STORAGE_KEY=$storage_account_key" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you get an error when creating the NFS share below about permissions please run the command below\n", - "```bash\n", - "!az role assignment create --scope /subscriptions/ --role \"Network Contributor\" --assignee 9fcb3732-5f52-4135-8c08-9d4bbaf203ea\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"creationTime\": \"2018-05-13T19:07:20.915000+00:00\",\n", - " \"dataDisks\": {\n", - " \"cachingType\": \"none\",\n", - " \"diskCount\": 4,\n", - " \"diskSizeInGb\": 250,\n", - " \"storageAccountType\": \"Premium_LRS\"\n", - " },\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/fileservers/batchfcab5890nfs\",\n", - " \"location\": \"eastus\",\n", - " \"mountSettings\": {\n", - " \"fileServerInternalIp\": \"10.0.0.4\",\n", - " \"fileServerPublicIp\": \"40.114.69.36\",\n", - " \"fileServerType\": \"nfs\",\n", - " \"mountPoint\": \"/data\"\n", - " },\n", - " \"name\": \"batchfcab5890nfs\",\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-13T19:11:30.794000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"sshConfiguration\": {\n", - " \"publicIpsToAllow\": null,\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae/providers/Microsoft.Network/virtualNetworks/ecb3eec6-ae81-4fdb-8fb9-0a57266b20aevnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/FileServers\",\n", - " \"vmSize\": \"Standard_DS4_v2\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai file-server create -n $NFS_NAME --disk-count 4 --disk-size 250 -s Standard_DS4_v2 -u mat -p d13NHAL! -g $GROUP_NAME -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group Size Disks Public IP Internal IP Type Mount Point\n", - "---------------- ---------------- --------------- ---------- ------------ ------------- ------ -------------\n", - "batchfcab5890nfs batchfcab5890rg Standard_DS4_v2 4 x 250 Gb 40.114.69.36 10.0.0.4 nfs /data\n" - ] - } - ], - "source": [ - "!az batchai file-server list -o table -g \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting nodeprep.sh\n" - ] - } - ], - "source": [ - "%%writefile nodeprep.sh\n", - "#!/usr/bin/env bash\n", - "wget https://gist.githubusercontent.com/msalvaris/073c28a9993d58498957294d20d74202/raw/916eefe763c71da49d8ed41cb8474bdc8021af33/install_azcopy\n", - "chmod 777 install_azcopy\n", - "sudo ./install_azcopy\n", - "\n", - "mkdir -p /data/imagenet\n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \\\n", - " --destination /data/imagenet/validation.csv\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D\"\\\n", - " --quiet\n", - " \n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz \\\n", - " --destination /data/imagenet/validation.tar.gz\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D\"\\\n", - " --quiet\n", - "\n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \\\n", - " --destination /data/imagenet/train.csv\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D\"\\\n", - " --quiet\n", - " \n", - "azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz \\\n", - " --destination /data/imagenet/train.tar.gz\\\n", - " --source-sas \"?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=qP%2B7lQuFKHo5UhQKpHcKt6p5fHT21lPaLz1O/vv4FNU%3D\"\\\n", - " --quiet\n", - " \n", - "cd /data/imagenet\n", - "tar -xvzf train.tar.gz\n", - "tar -xzvf validation.tar.gz" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Copy the file over and run it on the NFS VM. This will install azcopy and download and prepare the data\n", - "```bash\n", - "scp nodeprep.sh mat@:~/\n", - "ssh mat@ sudo chmod 777 ~/nodeprep.sh\n", - "ssh mat@ ./nodeprep.sh\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 153, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/ImagenetEstimatorHorovod.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage file upload --share-name $FILESHARE_NAME --source ../execution/timer.py --path scripts" - ] - }, - { - "cell_type": "code", - "execution_count": 238, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-05-21T19:47:03.863000+00:00\",\n", - " \"creationTime\": \"2018-05-21T19:47:03.863000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": null,\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": [\n", - " {\n", - " \"fileServer\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/fileservers/batchfcab5890nfs\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"mountOptions\": \"rw\",\n", - " \"relativeMountPath\": \"nfs\",\n", - " \"sourceDirectory\": null\n", - " }\n", - " ],\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-21T19:47:05.035000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 8\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae/providers/Microsoft.Network/virtualNetworks/ecb3eec6-ae81-4fdb-8fb9-0a57266b20aevnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24RS_V3\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster create \\\n", - "--name nc24r \\\n", - "--image UbuntuLTS \\\n", - "--vm-size Standard_NC24rs_v3 \\\n", - "--min 8 --max 8 \\\n", - "--afs-name $FILESHARE_NAME \\\n", - "--afs-mount-path extfs \\\n", - "--user-name mat \\\n", - "--password dnstvxrz \\\n", - "--storage-account-name $STORAGE_ACCOUNT_NAME \\\n", - "--storage-account-key $storage_account_key \\\n", - "--nfs $NFS_NAME \\\n", - "--nfs-mount-path nfs" - ] - }, - { - "cell_type": "code", - "execution_count": 239, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "{\n", - " \"allocationState\": \"resizing\",\n", - " \"allocationStateTransitionTime\": \"2018-05-21T19:47:03.863000+00:00\",\n", - " \"creationTime\": \"2018-05-21T19:47:03.863000+00:00\",\n", - " \"currentNodeCount\": 0,\n", - " \"errors\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"location\": \"eastus\",\n", - " \"name\": \"nc24r\",\n", - " \"nodeSetup\": {\n", - " \"mountVolumes\": {\n", - " \"azureBlobFileSystems\": null,\n", - " \"azureFileShares\": [\n", - " {\n", - " \"accountName\": \"batchfcab5890st\",\n", - " \"azureFileUrl\": \"https://batchfcab5890st.file.core.windows.net/batchfcab5890share\",\n", - " \"credentials\": {\n", - " \"accountKey\": null,\n", - " \"accountKeySecretReference\": null\n", - " },\n", - " \"directoryMode\": \"0777\",\n", - " \"fileMode\": \"0777\",\n", - " \"relativeMountPath\": \"extfs\"\n", - " }\n", - " ],\n", - " \"fileServers\": [\n", - " {\n", - " \"fileServer\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/fileservers/batchfcab5890nfs\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"mountOptions\": \"rw\",\n", - " \"relativeMountPath\": \"nfs\",\n", - " \"sourceDirectory\": null\n", - " }\n", - " ],\n", - " \"unmanagedFileSystems\": null\n", - " },\n", - " \"setupTask\": null\n", - " },\n", - " \"nodeStateCounts\": {\n", - " \"idleNodeCount\": 0,\n", - " \"leavingNodeCount\": 0,\n", - " \"preparingNodeCount\": 0,\n", - " \"runningNodeCount\": 0,\n", - " \"unusableNodeCount\": 0\n", - " },\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-21T19:47:05.035000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"scaleSettings\": {\n", - " \"autoScale\": null,\n", - " \"manual\": {\n", - " \"nodeDeallocationOption\": \"requeue\",\n", - " \"targetNodeCount\": 8\n", - " }\n", - " },\n", - " \"subnet\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae/providers/Microsoft.Network/virtualNetworks/ecb3eec6-ae81-4fdb-8fb9-0a57266b20aevnet/subnets/Subnet-1\",\n", - " \"resourceGroup\": \"fileserverrg-ecb3eec6-ae81-4fdb-8fb9-0a57266b20ae\"\n", - " },\n", - " \"tags\": null,\n", - " \"type\": \"Microsoft.BatchAI/Clusters\",\n", - " \"userAccountSettings\": {\n", - " \"adminUserName\": \"mat\",\n", - " \"adminUserPassword\": null,\n", - " \"adminUserSshPublicKey\": null\n", - " },\n", - " \"virtualMachineConfiguration\": {\n", - " \"imageReference\": {\n", - " \"offer\": \"UbuntuServer\",\n", - " \"publisher\": \"Canonical\",\n", - " \"sku\": \"16.04-LTS\",\n", - " \"version\": \"latest\"\n", - " }\n", - " },\n", - " \"vmPriority\": \"dedicated\",\n", - " \"vmSize\": \"STANDARD_NC24RS_V3\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai cluster show -n nc24r" - ] - }, - { - "cell_type": "code", - "execution_count": 243, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group VM Size State Idle Running Preparing Leaving Unusable\n", - "------ ---------------- ------------------ ------- ------ --------- ----------- --------- ----------\n", - "nc24r batchfcab5890rg STANDARD_NC24RS_V3 steady 8 0 0 0 0\n" - ] - } - ], - "source": [ - "!az batchai cluster list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 218, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "ID IP Port\n", - "--------------------------------- ------------- ------\n", - "tvm-1783593343_1-20180521t184456z 168.62.43.163 50003\n", - "tvm-1783593343_2-20180521t184456z 168.62.43.163 50006\n", - "tvm-1783593343_3-20180521t184456z 168.62.43.163 50002\n", - "tvm-1783593343_4-20180521t184456z 168.62.43.163 50005\n", - "tvm-1783593343_5-20180521t184456z 168.62.43.163 50001\n", - "tvm-1783593343_6-20180521t184456z 168.62.43.163 50004\n", - "tvm-1783593343_7-20180521t184456z 168.62.43.163 50000\n", - "tvm-1783593343_8-20180521t184456z 168.62.43.163 50007\n" - ] - } - ], - "source": [ - "!az batchai cluster list-nodes -n nc24r -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 244, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "jobs_dict = {\n", - " \"$schema\": \"https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2017-09-01-preview/job.json\",\n", - " \"properties\": {\n", - " \"nodeCount\": 8,\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; \\\n", - " echo $AZ_BATCH_HOST_LIST; \\\n", - " mpirun -n 32 -ppn 4 -hosts $AZ_BATCH_HOST_LIST \\\n", - " -env I_MPI_FABRICS=dapl \\\n", - " -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 \\\n", - " -env I_MPI_DYNAMIC_CONNECTION=0 \\\n", - " -env DISTRIBUTED=True \\\n", - " -genvall \\\n", - " python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorHorovod.py\"\n", - " },\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"inputDirectories\": [{\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet\",\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet\",\n", - " },\n", - " ],\n", - " \"outputDirectories\": [{\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\"\n", - " }],\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"image\": \"masalvar/horovod-intel\"\n", - " }\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 245, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "write_json_to_file(jobs_dict, 'job.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 246, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "\u001b[K{- Finished ..\n", - " \"caffeSettings\": null,\n", - " \"chainerSettings\": null,\n", - " \"cluster\": {\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/clusters/nc24r\",\n", - " \"resourceGroup\": \"batchfcab5890rg\"\n", - " },\n", - " \"cntkSettings\": null,\n", - " \"constraints\": {\n", - " \"maxWallClockTime\": \"7 days, 0:00:00\"\n", - " },\n", - " \"containerSettings\": {\n", - " \"imageSourceRegistry\": {\n", - " \"credentials\": null,\n", - " \"image\": \"masalvar/horovod-intel\",\n", - " \"serverUrl\": null\n", - " }\n", - " },\n", - " \"creationTime\": \"2018-05-21T20:04:00.077000+00:00\",\n", - " \"customToolkitSettings\": {\n", - " \"commandLine\": \"source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; echo $AZ_BATCH_HOST_LIST; mpirun -n 32 -ppn 4 -hosts $AZ_BATCH_HOST_LIST -env I_MPI_FABRICS=dapl -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 -env I_MPI_DYNAMIC_CONNECTION=0 -env DISTRIBUTED=True -genvall python $AZ_BATCHAI_INPUT_SCRIPTS/ImagenetEstimatorHorovod.py\"\n", - " },\n", - " \"environmentVariables\": null,\n", - " \"executionInfo\": {\n", - " \"endTime\": null,\n", - " \"errors\": null,\n", - " \"exitCode\": null,\n", - " \"startTime\": \"2018-05-21T20:04:02.311000+00:00\"\n", - " },\n", - " \"executionState\": \"running\",\n", - " \"executionStateTransitionTime\": \"2018-05-21T20:04:02.654000+00:00\",\n", - " \"experimentName\": null,\n", - " \"id\": \"/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/batchfcab5890rg/providers/Microsoft.BatchAI/jobs/horovod_benchmark\",\n", - " \"inputDirectories\": [\n", - " {\n", - " \"id\": \"SCRIPTS\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts\"\n", - " },\n", - " {\n", - " \"id\": \"TRAIN\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet\"\n", - " },\n", - " {\n", - " \"id\": \"TEST\",\n", - " \"path\": \"$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet\"\n", - " }\n", - " ],\n", - " \"jobPreparation\": null,\n", - " \"location\": null,\n", - " \"name\": \"horovod_benchmark\",\n", - " \"nodeCount\": 8,\n", - " \"outputDirectories\": [\n", - " {\n", - " \"createNew\": true,\n", - " \"id\": \"MODEL\",\n", - " \"pathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"pathSuffix\": \"Models\",\n", - " \"type\": \"custom\"\n", - " }\n", - " ],\n", - " \"priority\": 0,\n", - " \"provisioningState\": \"succeeded\",\n", - " \"provisioningStateTransitionTime\": \"2018-05-21T20:04:01.149000+00:00\",\n", - " \"resourceGroup\": \"batchfcab5890rg\",\n", - " \"stdOutErrPathPrefix\": \"$AZ_BATCHAI_MOUNT_ROOT/extfs\",\n", - " \"tags\": null,\n", - " \"tensorFlowSettings\": null,\n", - " \"toolType\": \"custom\",\n", - " \"type\": \"Microsoft.BatchAI/Jobs\"\n", - "}\n" - ] - } - ], - "source": [ - "!az batchai job create -n horovod_benchmark --cluster-name nc24r -c job.json" - ] - }, - { - "cell_type": "code", - "execution_count": 256, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "Name Resource Group Cluster Cluster RG Tool Nodes State\n", - "----------------- ---------------- --------- --------------- ------ ------- -------\n", - "horovod_benchmark batchfcab5890rg nc24r batchfcab5890rg custom 8 running\n" - ] - } - ], - "source": [ - " !az batchai job list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 225, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "[\n", - " {\n", - " \"contentLength\": 27540,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d5ac55b0-4432-45ec-8f9d-41b8de86c3af/execution-tvm-1783593343_1-20180521t184456z.log?sv=2016-05-31&sr=f&sig=eheuwlSxE5KwHh77%2Ftv6pKza4aPCh3Qk0C2Ff9eYlC0%3D&se=2018-05-21T20%3A35%3A00Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-21T19:16:57+00:00\",\n", - 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" \"lastModified\": \"2018-05-21T19:16:51+00:00\",\n", - " \"name\": \"execution-tvm-1783593343_3-20180521t184456z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 26621,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d5ac55b0-4432-45ec-8f9d-41b8de86c3af/execution-tvm-1783593343_4-20180521t184456z.log?sv=2016-05-31&sr=f&sig=6WDsRypnpAD40rgkTU0KfQNj2IMNytZoX4rsNRxvdfM%3D&se=2018-05-21T20%3A35%3A00Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-21T19:17:01+00:00\",\n", - " \"name\": \"execution-tvm-1783593343_4-20180521t184456z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 27855,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d5ac55b0-4432-45ec-8f9d-41b8de86c3af/execution-tvm-1783593343_5-20180521t184456z.log?sv=2016-05-31&sr=f&sig=tFWdunKgONCqB1jsqHa5xKAgZMWl%2BNeqWl2L266i5OY%3D&se=2018-05-21T20%3A35%3A00Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-21T19:16:58+00:00\",\n", - " \"name\": \"execution-tvm-1783593343_5-20180521t184456z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 27721,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d5ac55b0-4432-45ec-8f9d-41b8de86c3af/execution-tvm-1783593343_6-20180521t184456z.log?sv=2016-05-31&sr=f&sig=JhV1A0hGHswDRrWFmfQz%2FzuwIPIH836BS3Q%2FByE0gls%3D&se=2018-05-21T20%3A35%3A00Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-21T19:17:00+00:00\",\n", - " \"name\": \"execution-tvm-1783593343_6-20180521t184456z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 27614,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d5ac55b0-4432-45ec-8f9d-41b8de86c3af/execution-tvm-1783593343_7-20180521t184456z.log?sv=2016-05-31&sr=f&sig=%2BWu4S0uppXOb4fFnxyOWldfbO1n0bGueTG5oWmeXDoo%3D&se=2018-05-21T20%3A35%3A00Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-21T19:16:58+00:00\",\n", - " \"name\": \"execution-tvm-1783593343_7-20180521t184456z.log\"\n", - " },\n", - " {\n", - " \"contentLength\": 27811,\n", - " \"downloadUrl\": \"https://batchfcab5890st.file.core.windows.net/batch2fcab5890share/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/d5ac55b0-4432-45ec-8f9d-41b8de86c3af/execution-tvm-1783593343_8-20180521t184456z.log?sv=2016-05-31&sr=f&sig=s9ag40lBwR%2FflGO2Mil%2BU%2FsR6K9W7Z24NAFxC%2Bo3x1c%3D&se=2018-05-21T20%3A35%3A00Z&sp=rl\",\n", - " \"lastModified\": \"2018-05-21T19:16:57+00:00\",\n", - " \"name\": \"execution-tvm-1783593343_8-20180521t184456z.log\"\n", - " }\n", - "]\n" - ] - } - ], - "source": [ - "!az batchai job list-files --name horovod_benchmark --output-directory-id stdouterr" - ] - }, - { - "cell_type": "code", - "execution_count": 260, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n", - "INFO:__main__:Runnin Distributed\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Tensorflow version 1.6.0\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading training data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Reading validation data info\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_evaluation_master': '', '_master': '', '_service': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_max': 5, '_is_chief': True, '_save_checkpoints_steps': 10000, '_task_id': 0, '_cluster_spec': , '_save_summary_steps': 100, '_num_ps_replicas': 0, '_tf_random_seed': None, '_log_step_count_steps': 100, '_task_type': 'worker', '_save_checkpoints_secs': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - "}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_is_chief': True, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_master': '', '_keep_checkpoint_max': 5, '_service': None, '_log_step_count_steps': 100, '_tf_random_seed': None, '_num_ps_replicas': 0, '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_global_id_in_cluster': 0, '_cluster_spec': }\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_evaluation_master': '', '_save_checkpoints_secs': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_steps': 10000, '_keep_checkpoint_every_n_hours': 10000, '_num_ps_replicas': 0, '_task_type': 'worker', '_master': '', '_keep_checkpoint_max': 5, '_is_chief': True, '_tf_random_seed': None, '_service': None, '_num_worker_replicas': 1, '_global_id_in_cluster': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_save_summary_steps': 100, '_log_step_count_steps': 100, '_task_id': 0}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_is_chief': True, '_service': None, '_save_checkpoints_secs': None, '_keep_checkpoint_every_n_hours': 10000, '_master': '', '_log_step_count_steps': 100, '_task_id': 0, '_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_num_worker_replicas': 1, '_num_ps_replicas': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_save_checkpoints_steps': 10000, '_tf_random_seed': None, '_global_id_in_cluster': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_evaluation_master': '', '_task_type': 'worker', '_cluster_spec': }\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_is_chief': True, '_log_step_count_steps': 100, '_num_worker_replicas': 1, '_global_id_in_cluster': 0, '_save_checkpoints_steps': 10000, '_keep_checkpoint_every_n_hours': 10000, '_task_type': 'worker', '_tf_random_seed': None, '_save_checkpoints_secs': None, '_cluster_spec': , '_master': '', '_task_id': 0, '_evaluation_master': '', '_keep_checkpoint_max': 5, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_service': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_summary_steps': 100}\n", - "INFO:tensorflow:Using config: {'_num_ps_replicas': 0, '_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_log_step_count_steps': 100, '_evaluation_master': '', '_master': '', '_is_chief': True, '_tf_random_seed': None, '_save_checkpoints_steps': 10000, '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_task_type': 'worker', '_keep_checkpoint_every_n_hours': 10000, '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_num_worker_replicas': 1, '_task_id': 0, '_service': None}\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:tensorflow:Using config: {'_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_is_chief': True, '_task_id': 0, '_cluster_spec': , '_master': '', '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_worker_replicas': 1, '_log_step_count_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_tf_random_seed': None, '_evaluation_master': '', '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_num_ps_replicas': 0, '_save_summary_steps': 100, '_global_id_in_cluster': 0, '_save_checkpoints_secs': None}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_is_chief': True, '_global_id_in_cluster': 0, '_tf_random_seed': None, '_service': None, '_task_id': 0, '_keep_checkpoint_every_n_hours': 10000, '_evaluation_master': '', '_master': '', '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_type': 'worker', '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_save_checkpoints_steps': 10000, '_cluster_spec': , '_log_step_count_steps': 100}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_keep_checkpoint_max': 5, '_num_worker_replicas': 1, '_num_ps_replicas': 0, '_service': None, '_keep_checkpoint_every_n_hours': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_type': 'worker', '_evaluation_master': '', '_master': '', '_is_chief': True, '_log_step_count_steps': 100, '_save_checkpoints_steps': 10000, '_task_id': 0, '_save_summary_steps': 100, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_tf_random_seed': None}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_is_chief': True, '_service': None, '_task_id': 0, '_master': '', '_global_id_in_cluster': 0, '_save_summary_steps': 100, '_save_checkpoints_steps': 10000, '_num_worker_replicas': 1, '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_cluster_spec': , '_evaluation_master': '', '_num_ps_replicas': 0, '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_secs': None, '_task_type': 'worker', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - "}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_keep_checkpoint_every_n_hours': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_task_type': 'worker', '_cluster_spec': , '_service': None, '_save_summary_steps': 100, '_task_id': 0, '_num_ps_replicas': 0, '_master': '', '_save_checkpoints_steps': 10000, '_global_id_in_cluster': 0, '_num_worker_replicas': 1, '_save_checkpoints_secs': None, '_is_chief': True, '_evaluation_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_log_step_count_steps': 100}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_tf_random_seed': None, '_is_chief': True, '_global_id_in_cluster': 0, '_save_checkpoints_secs': None, '_evaluation_master': '', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_summary_steps': 100, '_num_worker_replicas': 1, '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_task_id': 0, '_service': None, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_task_type': 'worker'}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:tensorflow:Using config: {'_tf_random_seed': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_global_id_in_cluster': 0, '_evaluation_master': '', '_task_type': 'worker', '_service': None, '_save_checkpoints_secs': None, '_task_id': 0, '_log_step_count_steps': 100, '_save_checkpoints_steps': 10000, '_cluster_spec': , '_num_worker_replicas': 1, '_num_ps_replicas': 0, '_is_chief': True, '_master': '', '_keep_checkpoint_max': 5, '_save_summary_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/bbeb0cf4-8605-4055-9c73-b924af1db06a/outputs/Models'}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_tf_random_seed': None, '_task_type': 'worker', '_master': '', '_is_chief': True, '_global_id_in_cluster': 0, '_task_id': 0, '_service': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_steps': 10000, '_evaluation_master': '', '_num_worker_replicas': 1, '_cluster_spec': , '_save_summary_steps': 100, '_log_step_count_steps': 100, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_keep_checkpoint_max': 5, '_num_ps_replicas': 0, '_save_checkpoints_secs': None}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_cluster_spec': , '_save_checkpoints_secs': None, '_tf_random_seed': None, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_is_chief': True, '_global_id_in_cluster': 0, '_num_ps_replicas': 0, '_log_step_count_steps': 100, '_service': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_master': '', '_save_summary_steps': 100, '_task_id': 0, '_evaluation_master': ''}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_tf_random_seed': None, '_save_summary_steps': 100, '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_cluster_spec': , '_service': None, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_steps': 10000, '_log_step_count_steps': 100, '_task_id': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_num_worker_replicas': 1, '_evaluation_master': '', '_save_checkpoints_secs': None, '_is_chief': True, '_task_type': 'worker', '_num_ps_replicas': 0}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_log_step_count_steps': 100, '_master': '', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_save_checkpoints_steps': 10000, '_keep_checkpoint_max': 5, '_cluster_spec': , '_tf_random_seed': None, '_num_ps_replicas': 0, '_global_id_in_cluster': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_keep_checkpoint_every_n_hours': 10000, '_evaluation_master': '', '_save_checkpoints_secs': None, '_num_worker_replicas': 1, '_service': None, '_task_id': 0, '_task_type': 'worker', '_save_summary_steps': 100, '_is_chief': True}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_evaluation_master': '', '_service': None, '_task_id': 0, '_save_checkpoints_steps': 10000, '_keep_checkpoint_every_n_hours': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_save_checkpoints_secs': None, '_task_type': 'worker', '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_master': '', '_cluster_spec': , '_save_summary_steps': 100, '_is_chief': True, '_log_step_count_steps': 100, '_num_worker_replicas': 1}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:tensorflow:Using config: {'_is_chief': True, '_master': '', '_num_ps_replicas': 0, '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_steps': 10000, '_keep_checkpoint_max': 5, '_evaluation_master': '', '_save_summary_steps': 100, '_num_worker_replicas': 1, '_cluster_spec': , '_log_step_count_steps': 100, '_tf_random_seed': None, '_save_checkpoints_secs': None, '_task_type': 'worker', '_global_id_in_cluster': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_id': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_service': None}\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_steps': 10000, '_num_worker_replicas': 1, '_save_checkpoints_secs': None, '_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_tf_random_seed': None, '_task_type': 'worker', '_master': '', '_cluster_spec': , '_save_summary_steps': 100, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_task_id': 0, '_evaluation_master': '', '_log_step_count_steps': 100, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_is_chief': True, '_keep_checkpoint_max': 5}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_service': None, '_task_type': 'worker', '_global_id_in_cluster': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_ps_replicas': 0, '_save_checkpoints_secs': None, '_save_summary_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_tf_random_seed': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_master': '', '_log_step_count_steps': 100, '_evaluation_master': '', '_is_chief': True, '_task_id': 0, '_cluster_spec': , '_keep_checkpoint_max': 5, '_save_checkpoints_steps': 10000, '_num_worker_replicas': 1}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_master': '', '_global_id_in_cluster': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_ps_replicas': 0, '_save_checkpoints_steps': 10000, '_is_chief': True, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_task_type': 'worker', '_service': None, '_keep_checkpoint_max': 5, '_task_id': 0, '_tf_random_seed': None, '_cluster_spec': , '_num_worker_replicas': 1, '_save_summary_steps': 100, '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_save_checkpoints_secs': None}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_task_type': 'worker', '_save_checkpoints_steps': 10000, '_evaluation_master': '', '_num_worker_replicas': 1, '_keep_checkpoint_max': 5, '_save_summary_steps': 100, '_global_id_in_cluster': 0, '_service': None, '_task_id': 0, '_is_chief': True, '_log_step_count_steps': 100, '_master': '', '_keep_checkpoint_every_n_hours': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_save_checkpoints_secs': None, '_num_ps_replicas': 0, '_tf_random_seed': None}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_num_ps_replicas': 0, '_is_chief': True, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_summary_steps': 100, '_tf_random_seed': None, '_log_step_count_steps': 100, '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_global_id_in_cluster': 0, '_evaluation_master': '', '_service': None, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_master': '', '_save_checkpoints_steps': 10000, '_cluster_spec': , '_task_type': 'worker', '_task_id': 0}\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_task_id': 0, '_keep_checkpoint_max': 5, '_num_worker_replicas': 1, '_is_chief': True, '_cluster_spec': , '_service': None, '_save_checkpoints_secs': None, '_save_checkpoints_steps': 10000, '_tf_random_seed': None, '_log_step_count_steps': 100, '_master': '', '_task_type': 'worker', '_evaluation_master': '', '_save_summary_steps': 100, '_global_id_in_cluster': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_keep_checkpoint_every_n_hours': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_ps_replicas': 0}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_save_checkpoints_steps': 10000, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_evaluation_master': '', '_tf_random_seed': None, '_service': None, '_task_type': 'worker', '_task_id': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_num_ps_replicas': 0, '_save_summary_steps': 100, '_log_step_count_steps': 100, '_cluster_spec': , '_save_checkpoints_secs': None, '_is_chief': True, '_global_id_in_cluster': 0, '_keep_checkpoint_every_n_hours': 10000, '_num_worker_replicas': 1, '_keep_checkpoint_max': 5, '_master': ''}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_global_id_in_cluster': 0, '_task_type': 'worker', '_keep_checkpoint_max': 5, '_master': '', '_service': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_is_chief': True, '_save_checkpoints_secs': None, '_keep_checkpoint_every_n_hours': 10000, '_save_checkpoints_steps': 10000, '_num_ps_replicas': 0, '_tf_random_seed': None, '_task_id': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_log_step_count_steps': 100, '_save_summary_steps': 100, '_num_worker_replicas': 1, '_evaluation_master': ''}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'classes': 1000, 'learning_rate': 0.001}\n", - "INFO:tensorflow:Using config: {'_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_num_worker_replicas': 1, '_log_step_count_steps': 100, '_save_summary_steps': 100, '_global_id_in_cluster': 0, '_service': None, '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_is_chief': True, '_keep_checkpoint_max': 5, '_save_checkpoints_secs': None, '_tf_random_seed': None, '_save_checkpoints_steps': 10000, '_num_ps_replicas': 0, '_task_type': 'worker', '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"1\"\n", - "}\n", - ", '_master': '', '_task_id': 0, '_cluster_spec': }\n", - "INFO:__main__:Rank: 1 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"3\"\n", - "}\n", - ", '_cluster_spec': , '_keep_checkpoint_every_n_hours': 10000, '_keep_checkpoint_max': 5, '_global_id_in_cluster': 0, '_service': None, '_log_step_count_steps': 100, '_is_chief': True, '_num_ps_replicas': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_master': '', '_tf_random_seed': None, '_task_id': 0, '_save_summary_steps': 100, '_num_worker_replicas': 1, '_save_checkpoints_steps': 10000, '_evaluation_master': '', '_save_checkpoints_secs': None, '_task_type': 'worker'}\n", - "INFO:__main__:Rank: 3 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_num_worker_replicas': 1, '_task_id': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"2\"\n", - "}\n", - ", '_save_checkpoints_secs': None, '_keep_checkpoint_max': 5, '_service': None, '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_task_type': 'worker', '_global_id_in_cluster': 0, '_cluster_spec': , '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_save_checkpoints_steps': 10000, '_tf_random_seed': None, '_is_chief': True, '_master': '', '_num_ps_replicas': 0, '_save_summary_steps': 100}\n", - "INFO:__main__:Rank: 2 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_task_type': 'worker', '_task_id': 0, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_cluster_spec': , '_save_checkpoints_secs': None, '_save_checkpoints_steps': 10000, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_keep_checkpoint_max': 5, '_master': '', '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_tf_random_seed': None, '_num_worker_replicas': 1, '_global_id_in_cluster': 0, '_service': None, '_num_ps_replicas': 0, '_save_summary_steps': 100, '_is_chief': True, '_log_step_count_steps': 100}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:__main__:Creating estimator with params: {'learning_rate': 0.001, 'classes': 1000}\n", - "INFO:tensorflow:Using config: {'_master': '', '_log_step_count_steps': 100, '_num_worker_replicas': 1, '_num_ps_replicas': 0, '_session_config': gpu_options {\n", - " allow_growth: true\n", - " visible_device_list: \"0\"\n", - "}\n", - ", '_save_summary_steps': 100, '_save_checkpoints_secs': None, '_model_dir': '/mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd', '_tf_random_seed': None, '_save_checkpoints_steps': 10000, '_task_id': 0, '_global_id_in_cluster': 0, '_evaluation_master': '', '_keep_checkpoint_max': 5, '_cluster_spec': , '_is_chief': True, '_task_type': 'worker', '_service': None, '_keep_checkpoint_every_n_hours': 10000}\n", - "INFO:__main__:Rank: 0 Cluster Size 32\n", - "INFO:__main__:Training...\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Calling model_fn.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py:210: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "keep_dims is deprecated, use keepdims instead\n", - "WARNING:tensorflow:From /mnt/batch/tasks/shared/LS_root/mounts/extfs/scripts/ImagenetEstimatorHorovod.py:137: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "\n", - "Future major versions of TensorFlow will allow gradients to flow\n", - "into the labels input on backprop by default.\n", - "\n", - "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", - "\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Create CheckpointSaverHook.\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:24.867516: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:24.873957: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:25.274003: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:25.509271: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 3b87:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-21 20:06:25.509331: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-21 20:06:25.668161: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 0ee3:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-21 20:06:25.668220: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:25.832580: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:25.851699: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14869 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: 3b87:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.110012: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:26.137513: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: fa15:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-21 20:06:26.137570: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-21 20:06:26.147962: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14862 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 0ee3:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.313284: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:26.412575: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: d4de:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-21 20:06:26.412628: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-21 20:06:26.463403: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14862 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: fa15:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.630128: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.639655: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.704424: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.732837: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:26.753557: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14869 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: d4de:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.772743: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:26.803659: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: c27f:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-21 20:06:26.803723: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.848697: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.879431: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.919461: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.978311: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:26.992227: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:27.223234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: c68a:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-21 20:06:27.223304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:27.308558: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:27.351102: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: c27f:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:27.351055: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: be10:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-21 20:06:27.351111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:27.353551: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:27.359403: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 24ec:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-21 20:06:27.359460: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:27.361023: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:27.363000: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:27.363423: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 65c5:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-21 20:06:27.363473: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-21 20:06:27.375944: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 1f77:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-21 20:06:27.376234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:27.377714: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:27.435535: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:27.492146: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: dee2:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-21 20:06:27.492200: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:27.558860: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:27.634226: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:27.679128: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:27.680951: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: ba0f:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.36GiB\n", - "2018-05-21 20:06:27.681006: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-21 20:06:27.764944: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: c68a:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:27.769349: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: be10:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:27.824463: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: f7fa:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-21 20:06:27.824518: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-21 20:06:27.846715: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14862 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: 65c5:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:27.857935: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: 1f77:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:27.861990: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14869 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: dee2:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:27.885672: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: 24ec:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:27.911474: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:28.009961: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 08dd:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:28.010020: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-21 20:06:28.032366: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 4875:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-21 20:06:28.032420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:28.039686: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:28.103745: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: a01e:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:28.103804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-21 20:06:28.115090: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: eac3:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:28.115152: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-21 20:06:28.139730: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14862 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: ba0f:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:28.152089: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 9b00:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-21 20:06:28.152145: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:28.222338: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:28.261674: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:28.341301: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: de2c:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-21 20:06:28.341354: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-21 20:06:28.342693: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 08dd:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:28.386964: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 211e:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.35GiB\n", - "2018-05-21 20:06:28.387019: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-21 20:06:28.433776: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 3025:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:28.433831: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2\n", - "2018-05-21 20:06:28.489265: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: eac3:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:28.491165: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: b1c8:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:28.491224: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-21 20:06:28.514681: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: f7fa:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:28.610415: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 9b00:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:28.632910: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 20ff:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-21 20:06:28.632969: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:28.639404: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:28.649561: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: 4875:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:28.771846: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: dd65:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:28.771917: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-21 20:06:28.804765: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: a01e:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:28.829461: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: aafd:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:28.829520: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:28.831998: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:06:28.841383: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n", - "2018-05-21 20:06:28.922824: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: de2c:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:28.930618: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14854 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: 211e:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:28.986872: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 176a:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:28.986925: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-21 20:06:28.987110: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: f36d:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-21 20:06:28.987164: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-21 20:06:28.989182: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: ec1d:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.34GiB\n", - "2018-05-21 20:06:28.989236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3\n", - "2018-05-21 20:06:28.992088: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: b1c8:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:29.004243: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 2, name: Tesla V100-PCIE-16GB, pci bus id: 3025:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:29.089713: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 20ff:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:29.126454: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: dd65:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:29.168080: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 052a:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:29.168153: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-21 20:06:29.172517: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: aafd:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:29.291172: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 3462:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:29.291239: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-21 20:06:29.434635: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: 176a:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:29.501218: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 052a:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:29.609870: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: f36d:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:29.622154: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 3, name: Tesla V100-PCIE-16GB, pci bus id: ec1d:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:29.648633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: 3462:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:29.659887: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: c933:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:29.659946: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1\n", - "2018-05-21 20:06:29.676761: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: \n", - "name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38\n", - "pciBusID: 06d7:00:00.0\n", - "totalMemory: 15.78GiB freeMemory: 15.33GiB\n", - "2018-05-21 20:06:29.676816: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-21 20:06:30.007414: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 1, name: Tesla V100-PCIE-16GB, pci bus id: c933:00:00.0, compute capability: 7.0)\n", - "2018-05-21 20:06:30.032246: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14847 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 06d7:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/bbeb0cf4-8605-4055-9c73-b924af1db06a/outputs/Models/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 1 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:step = 1, loss = 8.043177\n", - "INFO:tensorflow:loss = 7.7248735, step = 1\n", - "INFO:tensorflow:loss = 7.920883, step = 1\n", - "INFO:tensorflow:loss = 7.6584516, step = 1\n", - "INFO:tensorflow:loss = 8.047615, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.8125196\n", - "INFO:tensorflow:step = 1, loss = 7.8112755\n", - "INFO:tensorflow:step = 1, loss = 7.7811527\n", - "INFO:tensorflow:loss = 7.853373, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.9669657\n", - "INFO:tensorflow:loss = 7.8489943, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.833317\n", - "INFO:tensorflow:loss = 7.881039, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.182785\n", - "INFO:tensorflow:loss = 8.300079, step = 1\n", - "INFO:tensorflow:loss = 7.9234896, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.679738\n", - "INFO:tensorflow:loss = 7.7595124, step = 1\n", - "INFO:tensorflow:loss = 8.277454, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.9975867\n", - "INFO:tensorflow:loss = 8.103027, step = 1\n", - "INFO:tensorflow:loss = 7.659622, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.154215\n", - "INFO:tensorflow:loss = 7.7825336, step = 1\n", - "INFO:tensorflow:step = 1, loss = 7.7750144\n", - "INFO:tensorflow:loss = 8.322119, step = 1\n", - "INFO:tensorflow:loss = 8.006054, step = 1\n", - "INFO:tensorflow:loss = 7.918038, step = 1\n", - "INFO:tensorflow:loss = 7.8375607, step = 1\n", - "INFO:tensorflow:loss = 7.7847204, step = 1\n", - "INFO:tensorflow:step = 1, loss = 8.28055\n", - "INFO:tensorflow:loss = 8.071697, step = 1\n", - "INFO:tensorflow:global_step/sec: 0.632643\n", - "INFO:tensorflow:global_step/sec: 0.648463\n", - "INFO:tensorflow:global_step/sec: 0.647591\n", - "INFO:tensorflow:global_step/sec: 0.633005\n", - "INFO:tensorflow:global_step/sec: 0.656268\n", - "INFO:tensorflow:global_step/sec: 0.6562\n", - "INFO:tensorflow:global_step/sec: 0.633005\n", - "INFO:tensorflow:global_step/sec: 0.657927\n", - "INFO:tensorflow:global_step/sec: 0.640919\n", - "INFO:tensorflow:step = 101, loss = 6.880538 (156.026 sec)\n", - "INFO:tensorflow:global_step/sec: 0.659279\n", - "INFO:tensorflow:global_step/sec: 0.641835\n", - "INFO:tensorflow:global_step/sec: 0.642661\n", - "INFO:tensorflow:global_step/sec: 0.648972\n", - "INFO:tensorflow:global_step/sec: 0.632187\n", - "INFO:tensorflow:global_step/sec: 0.653461\n", - "INFO:tensorflow:global_step/sec: 0.643256\n", - "INFO:tensorflow:global_step/sec: 0.648699\n", - "INFO:tensorflow:global_step/sec: 0.631679\n", - "INFO:tensorflow:global_step/sec: 0.73505\n", - "INFO:tensorflow:global_step/sec: 0.657149\n", - "INFO:tensorflow:global_step/sec: 0.642157\n", - "INFO:tensorflow:global_step/sec: 0.641515\n", - "INFO:tensorflow:global_step/sec: 0.638978\n", - "INFO:tensorflow:global_step/sec: 0.649065\n", - "INFO:tensorflow:global_step/sec: 0.657506\n", - "INFO:tensorflow:global_step/sec: 0.649996\n", - "INFO:tensorflow:loss = 6.8781066, step = 101 (154.420 sec)\n", - "INFO:tensorflow:global_step/sec: 0.651148\n", - "INFO:tensorflow:loss = 6.8312826, step = 101 (158.068 sec)\n", - "INFO:tensorflow:loss = 6.823346, step = 101 (154.212 sec)\n", - "INFO:tensorflow:global_step/sec: 0.645933\n", - "INFO:tensorflow:loss = 7.034897, step = 101 (151.994 sec)\n", - "INFO:tensorflow:global_step/sec: 0.63316\n", - "INFO:tensorflow:global_step/sec: 0.642333\n", - "INFO:tensorflow:global_step/sec: 0.632983\n", - "INFO:tensorflow:loss = 6.692317, step = 101 (157.977 sec)\n", - "INFO:tensorflow:loss = 6.934998, step = 101 (152.377 sec)\n", - "INFO:tensorflow:loss = 6.9365177, step = 101 (152.393 sec)\n", - "INFO:tensorflow:loss = 6.727152, step = 101 (156.499 sec)\n", - "INFO:tensorflow:loss = 6.828705, step = 101 (155.460 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.7839355 (154.156 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.7907143 (151.682 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.8647227 (155.803 sec)\n", - "INFO:tensorflow:loss = 6.751319, step = 101 (152.174 sec)\n", - "INFO:tensorflow:loss = 6.864849, step = 101 (155.726 sec)\n", - "INFO:tensorflow:loss = 6.775056, step = 101 (155.882 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.810143 (157.977 sec)\n", - "INFO:tensorflow:loss = 6.7012253, step = 101 (154.069 sec)\n", - "INFO:tensorflow:loss = 6.8362274, step = 101 (152.091 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.8953424 (155.683 sec)\n", - "INFO:tensorflow:loss = 6.762783, step = 101 (157.983 sec)\n", - "INFO:tensorflow:loss = 6.793432, step = 101 (153.576 sec)\n", - "INFO:tensorflow:loss = 6.804537, step = 101 (154.091 sec)\n", - "INFO:tensorflow:loss = 6.958713, step = 101 (158.182 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.7854066 (153.032 sec)\n", - "INFO:tensorflow:global_step/sec: 0.633018\n", - "INFO:tensorflow:step = 101, loss = 6.9202003 (157.939 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.8463254 (153.848 sec)\n", - "INFO:tensorflow:loss = 6.7603755, step = 101 (136.243 sec)\n", - "INFO:tensorflow:loss = 6.8869557, step = 101 (155.605 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.789819 (154.816 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.7965126 (157.974 sec)\n", - "INFO:tensorflow:step = 101, loss = 6.9784465 (158.309 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754563\n", - "INFO:tensorflow:global_step/sec: 0.754552\n", - "INFO:tensorflow:global_step/sec: 0.754544\n", - "INFO:tensorflow:global_step/sec: 0.754547\n", - "INFO:tensorflow:loss = 6.443222, step = 201 (132.527 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754541\n", - "INFO:tensorflow:global_step/sec: 0.754548\n", - "INFO:tensorflow:global_step/sec: 0.754551\n", - "INFO:tensorflow:global_step/sec: 0.75455\n", - "INFO:tensorflow:global_step/sec: 0.754541\n", - "INFO:tensorflow:global_step/sec: 0.754545\n", - "INFO:tensorflow:global_step/sec: 0.754542\n", - "INFO:tensorflow:global_step/sec: 0.754539\n", - "INFO:tensorflow:global_step/sec: 0.75454\n", - "INFO:tensorflow:global_step/sec: 0.754541\n", - "INFO:tensorflow:global_step/sec: 0.754551\n", - "INFO:tensorflow:global_step/sec: 0.754548\n", - "INFO:tensorflow:loss = 6.7629547, step = 201 (132.529 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754545\n", - "INFO:tensorflow:loss = 6.517153, step = 201 (132.529 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754538\n", - "INFO:tensorflow:step = 201, loss = 6.5710545 (132.531 sec)\n", - "INFO:tensorflow:loss = 6.7478786, step = 201 (132.530 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.6217604 (132.529 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.5757585 (132.530 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754546\n", - "INFO:tensorflow:loss = 6.535999, step = 201 (132.530 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754538\n", - "INFO:tensorflow:loss = 6.504278, step = 201 (132.532 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.6461177 (132.531 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754581\n", - "INFO:tensorflow:loss = 6.7317767, step = 201 (132.529 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.5193253 (132.530 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754537\n", - "INFO:tensorflow:loss = 6.6334677, step = 201 (132.530 sec)\n", - "INFO:tensorflow:loss = 6.499446, step = 201 (132.531 sec)\n", - "INFO:tensorflow:loss = 6.6106014, step = 201 (132.531 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754527\n", - "INFO:tensorflow:global_step/sec: 0.75454\n", - "INFO:tensorflow:global_step/sec: 0.754526\n", - "INFO:tensorflow:global_step/sec: 0.754525\n", - "INFO:tensorflow:loss = 6.6386447, step = 201 (132.531 sec)\n", - "INFO:tensorflow:loss = 6.477047, step = 201 (132.530 sec)\n", - "INFO:tensorflow:loss = 6.5005703, step = 201 (132.531 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754518\n", - "INFO:tensorflow:step = 201, loss = 6.687537 (132.533 sec)\n", - "INFO:tensorflow:loss = 6.6493726, step = 201 (132.531 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.630645 (132.533 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.6252704 (132.533 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.8283224 (132.533 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754522\n", - "INFO:tensorflow:global_step/sec: 0.754528\n", - "INFO:tensorflow:loss = 6.700959, step = 201 (132.535 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754516\n", - "INFO:tensorflow:loss = 6.6692176, step = 201 (132.531 sec)\n", - "INFO:tensorflow:global_step/sec: 0.754518\n", - "INFO:tensorflow:global_step/sec: 0.754517\n", - "INFO:tensorflow:loss = 6.787123, step = 201 (132.557 sec)\n", - "INFO:tensorflow:loss = 6.820743, step = 201 (132.533 sec)\n", - "INFO:tensorflow:loss = 6.482423, step = 201 (132.533 sec)\n", - "INFO:tensorflow:loss = 6.342307, step = 201 (132.535 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.561573 (132.524 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.6423473 (132.535 sec)\n", - "INFO:tensorflow:step = 201, loss = 6.5642605 (132.535 sec)\n", - 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"INFO:tensorflow:global_step/sec: 0.726102\n", - "INFO:tensorflow:global_step/sec: 0.726115\n", - "INFO:tensorflow:global_step/sec: 0.726106\n", - "INFO:tensorflow:global_step/sec: 0.726106\n", - "INFO:tensorflow:global_step/sec: 0.726101\n", - "INFO:tensorflow:global_step/sec: 0.726097\n", - "INFO:tensorflow:global_step/sec: 0.726099\n", - "INFO:tensorflow:loss = 6.4723234, step = 301 (137.722 sec)\n", - "INFO:tensorflow:loss = 6.614804, step = 301 (137.720 sec)\n", - "INFO:tensorflow:loss = 6.2477803, step = 301 (137.721 sec)\n", - "INFO:tensorflow:loss = 6.30285, step = 301 (137.717 sec)\n", - "INFO:tensorflow:global_step/sec: 0.726117\n", - "INFO:tensorflow:loss = 6.339543, step = 301 (137.720 sec)\n", - "INFO:tensorflow:global_step/sec: 0.726099\n", - "INFO:tensorflow:step = 301, loss = 6.670265 (137.718 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.3020897 (137.720 sec)\n", - "INFO:tensorflow:loss = 6.245963, step = 301 (137.721 sec)\n", - "INFO:tensorflow:loss = 6.3439198, step = 301 (137.719 sec)\n", - "INFO:tensorflow:loss = 6.2391872, step = 301 (137.720 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.331276 (137.721 sec)\n", - "INFO:tensorflow:loss = 6.53528, step = 301 (137.721 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.145603 (137.718 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.441833 (137.717 sec)\n", - "INFO:tensorflow:loss = 6.359371, step = 301 (137.723 sec)\n", - "INFO:tensorflow:loss = 6.301859, step = 301 (137.722 sec)\n", - "INFO:tensorflow:global_step/sec: 0.726085\n", - "INFO:tensorflow:loss = 6.2724385, step = 301 (137.724 sec)\n", - "INFO:tensorflow:loss = 6.2728796, step = 301 (137.717 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.347172 (137.720 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.218179 (137.718 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.3155737 (137.722 sec)\n", - "INFO:tensorflow:loss = 6.3855815, step = 301 (137.719 sec)\n", - "INFO:tensorflow:global_step/sec: 0.726114\n", - "INFO:tensorflow:loss = 6.1892114, step = 301 (137.725 sec)\n", - "INFO:tensorflow:loss = 6.378521, step = 301 (137.721 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.2045784 (137.721 sec)\n", - "INFO:tensorflow:loss = 6.4301953, step = 301 (137.723 sec)\n", - "INFO:tensorflow:loss = 6.389752, step = 301 (137.722 sec)\n", - "INFO:tensorflow:global_step/sec: 0.726086\n", - "INFO:tensorflow:loss = 6.250522, step = 301 (137.719 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.2574463 (137.719 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.2682443 (137.722 sec)\n", - "INFO:tensorflow:step = 301, loss = 6.432538 (137.725 sec)\n", - "INFO:tensorflow:global_step/sec: 0.756368\n", - "INFO:tensorflow:global_step/sec: 0.756359\n", - "INFO:tensorflow:global_step/sec: 0.75636\n", - "INFO:tensorflow:global_step/sec: 0.756356\n", - "INFO:tensorflow:global_step/sec: 0.756357\n", - "INFO:tensorflow:global_step/sec: 0.756366\n", - "INFO:tensorflow:global_step/sec: 0.756356\n", - "INFO:tensorflow:global_step/sec: 0.75636\n", - "INFO:tensorflow:global_step/sec: 0.756362\n", - "INFO:tensorflow:step = 401, loss = 6.0217237 (132.212 sec)\n", - "INFO:tensorflow:global_step/sec: 0.756373\n", - "INFO:tensorflow:global_step/sec: 0.756349\n", - "INFO:tensorflow:global_step/sec: 0.756355\n", - "INFO:tensorflow:global_step/sec: 0.756363\n", - "INFO:tensorflow:global_step/sec: 0.756355\n", - "INFO:tensorflow:global_step/sec: 0.75636\n", - "INFO:tensorflow:global_step/sec: 0.756362\n", - "INFO:tensorflow:global_step/sec: 0.756352\n", - "INFO:tensorflow:global_step/sec: 0.756361\n", - "INFO:tensorflow:loss = 5.842917, step = 401 (132.213 sec)\n", - "INFO:tensorflow:global_step/sec: 0.75635\n", - "INFO:tensorflow:global_step/sec: 0.756362\n", - "INFO:tensorflow:step = 401, loss = 5.7000837 (132.213 sec)\n", - "INFO:tensorflow:global_step/sec: 0.756355\n", - "INFO:tensorflow:global_step/sec: 0.756371\n", - "INFO:tensorflow:global_step/sec: 0.756347\n", - "INFO:tensorflow:global_step/sec: 0.756361\n", - "INFO:tensorflow:loss = 6.0786924, step = 401 (132.214 sec)\n", - "INFO:tensorflow:global_step/sec: 0.756347\n", - "INFO:tensorflow:loss = 6.0996513, step = 401 (132.211 sec)\n", - "INFO:tensorflow:loss = 5.948499, step = 401 (132.212 sec)\n", - "INFO:tensorflow:global_step/sec: 0.756354\n", - "INFO:tensorflow:step = 401, loss = 6.090338 (132.211 sec)\n", - "INFO:tensorflow:global_step/sec: 0.756336\n", - "INFO:tensorflow:loss = 6.101504, step = 401 (132.212 sec)\n", - "INFO:tensorflow:global_step/sec: 0.75636\n", - "INFO:tensorflow:loss = 5.9312096, step = 401 (132.213 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.0452976 (132.211 sec)\n", - "INFO:tensorflow:global_step/sec: 0.756335\n", - "INFO:tensorflow:loss = 6.0698576, step = 401 (132.213 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.3670444 (132.212 sec)\n", - "INFO:tensorflow:loss = 6.384289, step = 401 (132.215 sec)\n", - "INFO:tensorflow:loss = 6.120706, step = 401 (132.210 sec)\n", - "INFO:tensorflow:loss = 6.105241, step = 401 (132.212 sec)\n", - "INFO:tensorflow:loss = 5.9467325, step = 401 (132.214 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.267152 (132.211 sec)\n", - "INFO:tensorflow:global_step/sec: 0.756336\n", - "INFO:tensorflow:step = 401, loss = 6.1368737 (132.213 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.2758236 (132.210 sec)\n", - "INFO:tensorflow:loss = 5.8772717, step = 401 (132.216 sec)\n", - "INFO:tensorflow:loss = 6.0861692, step = 401 (132.212 sec)\n", - "INFO:tensorflow:global_step/sec: 0.75633\n", - "INFO:tensorflow:loss = 6.033733, step = 401 (132.214 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.9965734 (132.212 sec)\n", - "INFO:tensorflow:loss = 5.9635577, step = 401 (132.216 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.0643454 (132.213 sec)\n", - "INFO:tensorflow:global_step/sec: 0.756347\n", - "INFO:tensorflow:loss = 5.997573, step = 401 (132.169 sec)\n", - "INFO:tensorflow:loss = 5.726939, step = 401 (132.212 sec)\n", - "INFO:tensorflow:loss = 6.1437364, step = 401 (132.217 sec)\n", - "INFO:tensorflow:loss = 6.212757, step = 401 (132.215 sec)\n", - "INFO:tensorflow:loss = 5.9675417, step = 401 (132.217 sec)\n", - "INFO:tensorflow:step = 401, loss = 5.987508 (132.213 sec)\n", - "INFO:tensorflow:step = 401, loss = 6.0903263 (132.215 sec)\n", - "INFO:tensorflow:global_step/sec: 0.753569\n", - "INFO:tensorflow:global_step/sec: 0.753529\n", - "INFO:tensorflow:global_step/sec: 0.753534\n", - "INFO:tensorflow:global_step/sec: 0.753535\n", - "INFO:tensorflow:global_step/sec: 0.75353\n", - "INFO:tensorflow:global_step/sec: 0.753516\n", - "INFO:tensorflow:global_step/sec: 0.753552\n", - "INFO:tensorflow:global_step/sec: 0.753539\n", - "INFO:tensorflow:global_step/sec: 0.75353\n", - "INFO:tensorflow:global_step/sec: 0.753536\n", - "INFO:tensorflow:global_step/sec: 0.753532\n", - "INFO:tensorflow:global_step/sec: 0.753542\n", - "INFO:tensorflow:loss = 6.020899, step = 501 (132.709 sec)\n", - "INFO:tensorflow:loss = 5.959012, step = 501 (132.712 sec)\n", - "INFO:tensorflow:loss = 5.963565, step = 501 (132.704 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.9768515 (132.707 sec)\n", - "INFO:tensorflow:global_step/sec: 0.753528\n", - "INFO:tensorflow:loss = 5.400202, step = 501 (132.706 sec)\n", - "INFO:tensorflow:loss = 6.065504, step = 501 (132.708 sec)\n", - "INFO:tensorflow:loss = 5.940994, step = 501 (132.708 sec)\n", - "INFO:tensorflow:global_step/sec: 0.753506\n", - "INFO:tensorflow:global_step/sec: 0.753505\n", - "INFO:tensorflow:loss = 5.3889627, step = 501 (132.702 sec)\n", - "INFO:tensorflow:global_step/sec: 0.753528\n", - "INFO:tensorflow:step = 501, loss = 5.677903 (132.709 sec)\n", - "INFO:tensorflow:global_step/sec: 0.753503\n", - "INFO:tensorflow:global_step/sec: 0.753517\n", - "INFO:tensorflow:loss = 5.734622, step = 501 (132.707 sec)\n", - "INFO:tensorflow:global_step/sec: 0.7535\n", - "INFO:tensorflow:global_step/sec: 0.753506\n", - "INFO:tensorflow:global_step/sec: 0.75354\n", - "INFO:tensorflow:loss = 6.084008, step = 501 (132.709 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.6507835 (132.709 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.882206 (132.713 sec)\n", - "INFO:tensorflow:loss = 5.836284, step = 501 (132.709 sec)\n", - "INFO:tensorflow:global_step/sec: 0.753511\n", - "INFO:tensorflow:global_step/sec: 0.753504\n", - "INFO:tensorflow:global_step/sec: 0.753505\n", - "INFO:tensorflow:step = 501, loss = 5.70969 (132.707 sec)\n", - "INFO:tensorflow:global_step/sec: 0.753509\n", - "INFO:tensorflow:global_step/sec: 0.753532\n", - "INFO:tensorflow:global_step/sec: 0.753504\n", - "INFO:tensorflow:loss = 5.653656, step = 501 (132.711 sec)\n", - "INFO:tensorflow:loss = 5.959532, step = 501 (132.712 sec)\n", - "INFO:tensorflow:loss = 5.6501937, step = 501 (132.713 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.9903073 (132.713 sec)\n", - "INFO:tensorflow:global_step/sec: 0.753544\n", - "INFO:tensorflow:step = 501, loss = 5.7904806 (132.712 sec)\n", - "INFO:tensorflow:step = 501, loss = 6.087756 (132.708 sec)\n", - "INFO:tensorflow:loss = 5.825356, step = 501 (132.713 sec)\n", - "INFO:tensorflow:global_step/sec: 0.753503\n", - "INFO:tensorflow:global_step/sec: 0.753506\n", - "INFO:tensorflow:loss = 5.732907, step = 501 (132.712 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.972027 (132.713 sec)\n", - "INFO:tensorflow:loss = 5.8071737, step = 501 (132.706 sec)\n", - "INFO:tensorflow:global_step/sec: 0.753496\n", - "INFO:tensorflow:global_step/sec: 0.753492\n", - "INFO:tensorflow:loss = 6.01666, step = 501 (132.706 sec)\n", - "INFO:tensorflow:loss = 5.568282, step = 501 (132.714 sec)\n", - "INFO:tensorflow:loss = 5.5810275, step = 501 (132.713 sec)\n", - "INFO:tensorflow:loss = 5.8542223, step = 501 (132.715 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.881362 (132.713 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.606289 (132.715 sec)\n", - "INFO:tensorflow:step = 501, loss = 5.754165 (132.715 sec)\n", - "INFO:tensorflow:global_step/sec: 0.743858\n", - "INFO:tensorflow:global_step/sec: 0.74383\n", - "INFO:tensorflow:global_step/sec: 0.743827\n", - "INFO:tensorflow:global_step/sec: 0.74385\n", - "INFO:tensorflow:global_step/sec: 0.743849\n", - "INFO:tensorflow:global_step/sec: 0.743851\n", - "INFO:tensorflow:global_step/sec: 0.743808\n", - "INFO:tensorflow:global_step/sec: 0.743821\n", - "INFO:tensorflow:global_step/sec: 0.743834\n", - "INFO:tensorflow:global_step/sec: 0.743831\n", - "INFO:tensorflow:global_step/sec: 0.74383\n", - "INFO:tensorflow:global_step/sec: 0.743841\n", - "INFO:tensorflow:global_step/sec: 0.743846\n", - "INFO:tensorflow:global_step/sec: 0.743852\n", - "INFO:tensorflow:global_step/sec: 0.743796\n", - "INFO:tensorflow:global_step/sec: 0.743857\n", - "INFO:tensorflow:global_step/sec: 0.743862\n", - "INFO:tensorflow:loss = 5.9557157, step = 601 (134.439 sec)\n", - "INFO:tensorflow:global_step/sec: 0.743842\n", - "INFO:tensorflow:global_step/sec: 0.743827\n", - "INFO:tensorflow:global_step/sec: 0.743844\n", - "INFO:tensorflow:step = 601, loss = 5.751025 (134.434 sec)\n", - "INFO:tensorflow:global_step/sec: 0.743821\n", - "INFO:tensorflow:global_step/sec: 0.743837\n", - "INFO:tensorflow:global_step/sec: 0.743819\n", - "INFO:tensorflow:global_step/sec: 0.743865\n", - "INFO:tensorflow:global_step/sec: 0.743854\n", - "INFO:tensorflow:loss = 5.112219, step = 601 (134.437 sec)\n", - "INFO:tensorflow:global_step/sec: 0.74382\n", - "INFO:tensorflow:step = 601, loss = 5.6287026 (134.436 sec)\n", - "INFO:tensorflow:loss = 5.3808804, step = 601 (134.445 sec)\n", - "INFO:tensorflow:loss = 5.3822784, step = 601 (134.440 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.326752 (134.433 sec)\n", - "INFO:tensorflow:global_step/sec: 0.743839\n", - "INFO:tensorflow:loss = 5.2777185, step = 601 (134.440 sec)\n", - "INFO:tensorflow:global_step/sec: 0.743823\n", - "INFO:tensorflow:loss = 5.3626094, step = 601 (134.434 sec)\n", - "INFO:tensorflow:global_step/sec: 0.743837\n", - "INFO:tensorflow:loss = 5.5981007, step = 601 (134.441 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.641015 (134.434 sec)\n", - "INFO:tensorflow:global_step/sec: 0.743817\n", - "INFO:tensorflow:loss = 5.0964932, step = 601 (134.433 sec)\n", - "INFO:tensorflow:loss = 5.892377, step = 601 (134.438 sec)\n", - "INFO:tensorflow:loss = 5.79614, step = 601 (134.440 sec)\n", - "INFO:tensorflow:loss = 5.8200684, step = 601 (134.437 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.9735365 (134.435 sec)\n", - "INFO:tensorflow:global_step/sec: 0.74379\n", - "INFO:tensorflow:step = 601, loss = 5.800642 (134.438 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.7330465 (134.439 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.507082 (134.440 sec)\n", - "INFO:tensorflow:loss = 5.8312416, step = 601 (134.437 sec)\n", - "INFO:tensorflow:loss = 5.611161, step = 601 (134.437 sec)\n", - "INFO:tensorflow:loss = 5.8057327, step = 601 (134.437 sec)\n", - "INFO:tensorflow:loss = 5.9426656, step = 601 (134.438 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.839743 (134.443 sec)\n", - "INFO:tensorflow:global_step/sec: 0.743803\n", - "INFO:tensorflow:step = 601, loss = 5.670125 (134.441 sec)\n", - "INFO:tensorflow:loss = 5.536649, step = 601 (134.380 sec)\n", - "INFO:tensorflow:loss = 5.9172583, step = 601 (134.435 sec)\n", - "INFO:tensorflow:loss = 5.8801613, step = 601 (134.440 sec)\n", - "INFO:tensorflow:loss = 5.73778, step = 601 (134.441 sec)\n", - "INFO:tensorflow:loss = 5.5238037, step = 601 (134.448 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.6300654 (134.444 sec)\n", - "INFO:tensorflow:step = 601, loss = 5.3817472 (134.441 sec)\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/bbeb0cf4-8605-4055-9c73-b924af1db06a/outputs/Models/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Saving checkpoints for 625 into /mnt/batch/tasks/shared/LS_root/jobs/horovod_benchmark/wd/model.ckpt.\n", - "INFO:tensorflow:Loss for final step: 5.618808.\n", - "INFO:__main__:Training took 1193.440 seconds\n", - "INFO:tensorflow:Loss for final step: 5.6953483.\n", - "INFO:__main__:Training took 1193.923 seconds\n", - "INFO:tensorflow:Loss for final step: 5.750916.\n", - "INFO:__main__:Training took 1194.462 seconds\n", - "INFO:tensorflow:Loss for final step: 5.7692175.\n", - "INFO:__main__:Training took 1194.362 seconds\n", - "INFO:tensorflow:Loss for final step: 5.4690666.\n", - "INFO:__main__:Training took 1194.676 seconds\n", - "INFO:tensorflow:Loss for final step: 5.7654076.\n", - "INFO:__main__:Training took 1194.772 seconds\n", - "INFO:tensorflow:Loss for final step: 5.456515.\n", - "INFO:__main__:Training took 1194.806 seconds\n", - "INFO:tensorflow:Loss for final step: 5.1740627.\n", - "INFO:__main__:Training took 1194.750 seconds\n", - "INFO:tensorflow:Loss for final step: 5.4854355.\n", - "INFO:__main__:Training took 1196.212 seconds\n", - "INFO:tensorflow:Loss for final step: 5.419639.\n", - "INFO:__main__:Training took 1196.280 seconds\n", - "INFO:tensorflow:Loss for final step: 5.5485754.\n", - "INFO:__main__:Training took 1196.607 seconds\n", - "INFO:tensorflow:Loss for final step: 5.505458.\n", - "INFO:__main__:Training took 1196.244 seconds\n", - "INFO:tensorflow:Loss for final step: 5.8320146.\n", - "INFO:__main__:Training took 1196.599 seconds\n", - "INFO:tensorflow:Loss for final step: 5.818698.\n", - "INFO:__main__:Training took 1196.804 seconds\n", - "INFO:tensorflow:Loss for final step: 5.801777.\n", - "INFO:__main__:Training took 1197.072 seconds\n", - "INFO:tensorflow:Loss for final step: 5.5783863.\n", - "INFO:__main__:Training took 1197.227 seconds\n", - "INFO:tensorflow:Loss for final step: 5.5909367.\n", - "INFO:__main__:Training took 1198.215 seconds\n", - "INFO:tensorflow:Loss for final step: 5.18284.\n", - "INFO:__main__:Training took 1198.296 seconds\n", - "INFO:tensorflow:Loss for final step: 5.8412733.\n", - "INFO:__main__:Training took 1198.591 seconds\n", - "INFO:tensorflow:Loss for final step: 5.6275516.\n", - "INFO:__main__:Training took 1198.569 seconds\n", - "INFO:tensorflow:Loss for final step: 5.406725.\n", - "INFO:__main__:Training took 1198.821 seconds\n", - "INFO:tensorflow:Loss for final step: 5.2624764.\n", - "INFO:__main__:Training took 1198.133 seconds\n", - "INFO:tensorflow:Loss for final step: 5.5250854.\n", - "INFO:__main__:Training took 1198.662 seconds\n", - "INFO:tensorflow:Loss for final step: 5.625997.\n", - "INFO:__main__:Training took 1198.552 seconds\n", - "INFO:tensorflow:Loss for final step: 5.3233967.\n", - "INFO:__main__:Training took 1200.010 seconds\n", - "INFO:tensorflow:Loss for final step: 5.553694.\n", - "INFO:__main__:Training took 1199.952 seconds\n", - "INFO:tensorflow:Loss for final step: 5.185683.\n", - "INFO:__main__:Training took 1200.206 seconds\n", - "INFO:tensorflow:Loss for final step: 5.638152.\n", - "INFO:__main__:Training took 1200.444 seconds\n", - "INFO:tensorflow:Loss for final step: 5.452069.\n", - "INFO:tensorflow:Loss for final step: 5.4401393.\n", - "INFO:__main__:Training took 1200.256 seconds\n", - "INFO:__main__:Training took 1200.779 seconds\n", - "INFO:tensorflow:Loss for final step: 5.131628.\n", - "INFO:__main__:Training took 1200.927 seconds\n", - "INFO:tensorflow:Loss for final step: 5.310973.\n", - "INFO:__main__:Training took 1215.566 seconds\n", - "INFO:__main__:Testing...\n", - "INFO:tensorflow:Calling model_fn.\n", - "INFO:tensorflow:Done calling model_fn.\n", - "INFO:tensorflow:Starting evaluation at 2018-05-21-20:26:26\n", - "INFO:tensorflow:Graph was finalized.\n", - "2018-05-21 20:26:27.583396: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0\n", - "2018-05-21 20:26:27.583649: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6867 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 0ee3:00:00.0, compute capability: 7.0)\n", - "INFO:tensorflow:Restoring parameters from /mnt/batch/tasks/shared/LS_root/mounts/extfs/edf507a2-6235-46c5-b560-fd463ba2e771/batchfcab5890rg/jobs/horovod_benchmark/bbeb0cf4-8605-4055-9c73-b924af1db06a/outputs/Models/model.ckpt-625\n", - "INFO:tensorflow:Running local_init_op.\n", - "INFO:tensorflow:Done running local_init_op.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "INFO:tensorflow:Finished evaluation at 2018-05-21-20:28:48\n", - "INFO:tensorflow:Saving dict for global step 625: accuracy = 0.049952045, global_step = 625, loss = 5.602806\n", - "INFO:__main__:Testing took 144.608 seconds\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stderr.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group\u001b[0m\n", - "10.0.0.5,10.0.0.6,10.0.0.7,10.0.0.8\n", - "^C\n" - ] - } - ], - "source": [ - "!az batchai job stream-file --job-name horovod_benchmark --output-directory-id stdouterr --name stdout.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 261, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'batchfcab5890rg' for arg resource_group_name\u001b[0m\n", - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai job delete --name horovod_benchmark -y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K - Running ...\r" - ] - } - ], - "source": [ - "!az batchai cluster delete --name nc24r -g $GROUP_NAME -y" - ] - }, - { - "cell_type": "code", - "execution_count": 215, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az batchai file-server delete -n $NFS_NAME -y -g $GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 216, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[K - Finished .." - ] - } - ], - "source": [ - "!az group delete --name $GROUP_NAME -y" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:py35]", - "language": "python", - "name": "conda-env-py35-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control_tf/PrepareImagenetData.ipynb b/_tmp/control_tf/PrepareImagenetData.ipynb deleted file mode 100644 index de860a6..0000000 --- a/_tmp/control_tf/PrepareImagenetData.ipynb +++ /dev/null @@ -1,562 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "from scipy.io import loadmat\n", - "from os import path\n", - "import os\n", - "from toolz import juxt, compose\n", - "import pandas as pd\n", - "from glob import iglob\n", - "from itertools import chain" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_dir = path.join(os.getenv('AZ_BATCHAI_INPUT_DATASET'), 'imagenet')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data = loadmat(path.join(data_dir, 'ILSVRC2012_devkit_t12', 'data', 'meta.mat'))" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def _index_from(synset):\n", - " return synset[0][0][0][0]\n", - "\n", - "def _wnid_from(synset):\n", - " return str(synset[0][1][0])\n", - "\n", - "def _name_from(synset):\n", - " return str(synset[0][2][0])" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def _extract_from(synset):\n", - " extract = juxt(_index_from, _wnid_from, _name_from)\n", - " return extract(synset)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "label_list = list(map(_extract_from, data['synsets']))" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "df = pd.DataFrame(label_list, columns=('num_index', 'wnid', 'label')).set_index('num_index')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "train_dir=path.join(data_dir,'train')" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def _extract_to_directory(wnid):\n", - " out_dir = path.join(train_dir, wnid)\n", - " tar_file = path.join(train_dir, '{}.tar'.format(wnid))\n", - " print(out_dir)\n", - " !mkdir -p $out_dir\n", - " !tar -C $out_dir -xf $tar_file" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "filenames = [iglob(path.join(train_dir, wnid, '*.*')) for wnid in df.loc[1:1000]['wnid'].tolist()]" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "ff = list(chain(*filenames))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df = pd.DataFrame({'filenames':ff})" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "index_to_wnid_dict = df.loc[1:1000]['wnid'].to_dict()" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "wnid_labels = [path.split(name)[-1].split('_')[0] for name in ff]" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df = data_df.assign(wnid=wnid_labels)" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df = data_df.assign(num_id=data_df['wnid'].replace(to_replace=list(index_to_wnid_dict.values()), \n", - " value=list(index_to_wnid_dict.keys())))" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "extract_wnid_dir = compose(path.basename, path.dirname)" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "convert_filename = lambda x: path.join(extract_wnid_dir(x), path.basename(x))" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "data_df=data_df.assign(filenames=data_df['filenames'].apply(convert_filename))" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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filenamesnum_id
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" - ], - "text/plain": [ - " filenames num_id\n", - "0 ILSVRC2012_val_00000001.JPEG 490\n", - "1 ILSVRC2012_val_00000002.JPEG 361\n", - "2 ILSVRC2012_val_00000003.JPEG 171\n", - "3 ILSVRC2012_val_00000004.JPEG 822\n", - "4 ILSVRC2012_val_00000005.JPEG 297" - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "valid_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ILSVRC2012_devkit_t12\t ILSVRC2012_img_train.tar\ttrain.csv\r\n", - "ILSVRC2012_devkit_t12.tar.gz ILSVRC2012_img_val.tar\tvalidation\r\n", - "ILSVRC2012_img_test.tar train\t\t\tvalidation.csv\r\n" - ] - } - ], - "source": [ - "!ls {data_dir}" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "valid_df.to_csv(path.join(data_dir, 'validation.csv'))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [default]", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/_tmp/control_tf/UploadData.ipynb b/_tmp/control_tf/UploadData.ipynb deleted file mode 100644 index 60fc236..0000000 --- a/_tmp/control_tf/UploadData.ipynb +++ /dev/null @@ -1,777 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import json" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az login -o table" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Name CloudName SubscriptionId State IsDefault\r\n", - "----------------------------- ----------- ------------------------------------ ------- -----------\r\n", - "Boston DS Dev AzureCloud 0ca618d2-22a8-413a-96d0-0f1b531129c3 Enabled\r\n", - "Azure Internal - London AzureCloud 1ba81249-8edd-4619-a486-3d28a2176aad Enabled\r\n", - "Team Danielle Internal AzureCloud edf507a2-6235-46c5-b560-fd463ba2e771 Enabled True\r\n", - "Visual Studio Enterprise AzureCloud fb11e9eb-22e1-4347-8d0a-84ef60157664 Enabled\r\n", - "Boston Engineering AzureCloud bc4170f0-cc6e-49d2-ba65-bc00a7a4df6b Enabled\r\n", - "ADLTrainingMS AzureCloud ace74b35-b0de-428b-a1d9-55459d7a6e30 Enabled\r\n", - "PhillyExt AzureCloud a20c82c7-4497-4d44-952a-3105f790e26b Enabled\r\n", - "Ads Eng Big Data Subscription AzureCloud d4231148-f093-4473-85de-8c4d19247495 Enabled\r\n", - "Data Wrangling Preview AzureCloud 215613ac-9dfb-488c-be46-c387e999b127 Enabled\r\n", - "Data Wrangling development AzureCloud 35f16a99-532a-4a47-9e93-00305f6c40f2 Enabled\r\n", - "AzureML Client PROD AzureCloud 4a0f8d7f-c197-476b-95e1-fafcd77f12e4 Enabled\r\n", - "R portal - Production AzureCloud 2569dcd9-a995-4b78-ae22-58a1015fd0f7 Enabled\r\n", - "PhillyInt AzureCloud d50e5f6b-6c27-4ab1-8587-3d85cef6426e Enabled\r\n", - "Solution Template Testing AzureCloud 3bcfa59c-82a0-44f9-ac08-b3479370bace Enabled\r\n", - "Team Ilan AzureCloud ff18d7a8-962a-406c-858f-49acd23d6c01 Enabled\r\n", - "Marketing Automation AzureCloud 03909a66-bef8-4d52-8e9a-a346604e0902 Enabled\r\n", - "Project Vienna Demo 1 AzureCloud 75f78a03-482f-4fd8-8c71-5ddc08f92726 Enabled\r\n" - ] - } - ], - "source": [ - "!az account list -o table" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az account set -s \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "GROUP_NAME='datasharerg'\n", - "LOCATION='eastus'\n", - "STORAGE_ACCOUNT_NAME='datasharesa'\n", - "CONTAINER_NAME='imagenet'" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mUsing default 'eastus' for arg location\u001b[0m\n", - "Location Name\n", - "---------- -----------\n", - "eastus datasharerg\n" - ] - } - ], - "source": [ - "!az group create -n $GROUP_NAME -o table -l $LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Storage account datasharesa provisioning state: Succeeded\n" - ] - } - ], - "source": [ - "json_data = !az storage account create -l $LOCATION -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME --sku Standard_LRS\n", - "print('Storage account {} provisioning state: {}'.format(STORAGE_ACCOUNT_NAME, json.loads(''.join(json_data))['provisioningState']))" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "json_data = !az storage account keys list -n $STORAGE_ACCOUNT_NAME -g $GROUP_NAME\n", - "storage_account_key = json.loads(''.join(json_data))[0]['value']" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\r\n", - " \"created\": true\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!az storage container create --name $CONTAINER_NAME --account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults location=$LOCATION" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=$GROUP_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:43:38][WARNING] The command line \"--source \"/mnt/imagenet/train.tar.gz\" --destination \"https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz\" --dest-key ******\" in the journal file \"/home/mat/Microsoft/Azure/AzCopy/AzCopy.jnl\" is different from your input.\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:43:40][WARNING] Incomplete operation with different command line detected at the journal directory \"/home/mat/Microsoft/Azure/AzCopy\".\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4 MB; Average Speed:294.83 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 176 MB; Average Speed:11.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 340 MB; Average Speed:18.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 576 MB; Average Speed:28.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 968 MB; Average Speed:43.81 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.004 GB; Average Speed:131.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.305 GB; Average Speed:131.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 33.711 GB; Average Speed:132.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.191 GB; Average Speed:132.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.566 GB; Average Speed:133.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.828 GB; Average Speed:133.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 34.992 GB; Average Speed:132.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.555 GB; Average Speed:134.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.77 GB; Average Speed:133.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 35.926 GB; Average Speed:133.49 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.395 GB; Average Speed:134.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 36.727 GB; Average Speed:134.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.145 GB; Average Speed:135 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.285 GB; Average Speed:134.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 37.715 GB; Average Speed:135.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.07 GB; Average Speed:135.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.516 GB; Average Speed:136.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 38.621 GB; Average Speed:135.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.125 GB; Average Speed:136.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.227 GB; Average Speed:135.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 39.711 GB; Average Speed:136.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.039 GB; Average Speed:136.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.418 GB; Average Speed:136.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 40.656 GB; Average Speed:136.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.188 GB; Average Speed:137.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.395 GB; Average Speed:137.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 41.863 GB; Average Speed:138.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.223 GB; Average Speed:138.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.324 GB; Average Speed:137.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.844 GB; Average Speed:138.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 43.246 GB; Average Speed:138.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 43.648 GB; Average Speed:139.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.121 GB; Average Speed:140.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.504 GB; Average Speed:140.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 44.848 GB; Average Speed:140.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.152 GB; Average Speed:140.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 45.648 GB; Average Speed:141.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.023 GB; Average Speed:141.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.43 GB; Average Speed:141.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 46.883 GB; Average Speed:142.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.539 GB; Average Speed:143.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 47.543 GB; Average Speed:142.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.074 GB; Average Speed:143.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.246 GB; Average Speed:143.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.539 GB; Average Speed:143.11 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 48.938 GB; Average Speed:143.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.227 GB; Average Speed:143.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 49.633 GB; Average Speed:143.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.074 GB; Average Speed:144.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.316 GB; Average Speed:144.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 50.793 GB; Average Speed:144.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.117 GB; Average Speed:144.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.469 GB; Average Speed:144.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.559 GB; Average Speed:144.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 51.984 GB; Average Speed:144.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.234 GB; Average Speed:144.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.652 GB; Average Speed:144.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.676 GB; Average Speed:144.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 52.922 GB; Average Speed:144.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.422 GB; Average Speed:144.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.793 GB; Average Speed:144.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 53.867 GB; Average Speed:144.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.418 GB; Average Speed:145.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.469 GB; Average Speed:144.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 54.902 GB; Average Speed:144.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.258 GB; Average Speed:144.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.781 GB; Average Speed:145.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 55.918 GB; Average Speed:145.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.344 GB; Average Speed:145.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.422 GB; Average Speed:144.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 56.98 GB; Average Speed:145.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.398 GB; Average Speed:145.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 57.867 GB; Average Speed:146.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.117 GB; Average Speed:146.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 58.699 GB; Average Speed:147.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.117 GB; Average Speed:147.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.152 GB; Average Speed:146.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.648 GB; Average Speed:147.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 59.746 GB; Average Speed:146.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.18 GB; Average Speed:147.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.461 GB; Average Speed:147.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 60.953 GB; Average Speed:147.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61.289 GB; Average Speed:147.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 61.582 GB; Average Speed:147.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.074 GB; Average Speed:148.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.133 GB; Average Speed:147.53 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.434 GB; Average Speed:147.54 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.746 GB; Average Speed:147.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.105 GB; Average Speed:147.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.559 GB; Average Speed:148.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 63.875 GB; Average Speed:148.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.168 GB; Average Speed:148.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.605 GB; Average Speed:148.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 64.863 GB; Average Speed:148.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.219 GB; Average Speed:148.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.555 GB; Average Speed:148.59 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 65.855 GB; Average Speed:148.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.145 GB; Average Speed:148.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.426 GB; Average Speed:148.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 66.863 GB; Average Speed:148.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.188 GB; Average Speed:148.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.316 GB; Average Speed:148.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.684 GB; Average Speed:148.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 67.977 GB; Average Speed:148.69 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.313 GB; Average Speed:148.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.516 GB; Average Speed:148.57 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 68.922 GB; Average Speed:148.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.281 GB; Average Speed:148.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.293 GB; Average Speed:148.33 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.578 GB; Average Speed:148.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 69.949 GB; Average Speed:148.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.141 GB; Average Speed:148.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.195 GB; Average Speed:147.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.785 GB; Average Speed:148.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 70.957 GB; Average Speed:148.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.395 GB; Average Speed:148.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 71.797 GB; Average Speed:148.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.145 GB; Average Speed:148.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.551 GB; Average Speed:148.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.555 GB; Average Speed:148.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 72.988 GB; Average Speed:148.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.336 GB; Average Speed:148.49 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 73.895 GB; Average Speed:149.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.051 GB; Average Speed:148.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.426 GB; Average Speed:148.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.746 GB; Average Speed:148.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 74.875 GB; Average Speed:148.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.414 GB; Average Speed:149.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 75.813 GB; Average Speed:149.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.227 GB; Average Speed:149.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 76.637 GB; Average Speed:149.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77 GB; Average Speed:149.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.359 GB; Average Speed:149.95 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 77.578 GB; Average Speed:149.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.094 GB; Average Speed:150.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.246 GB; Average Speed:149.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 78.844 GB; Average Speed:150.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.098 GB; Average Speed:150.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.422 GB; Average Speed:150.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.855 GB; Average Speed:150.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 79.953 GB; Average Speed:150.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.52 GB; Average Speed:150.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 80.84 GB; Average Speed:150.85 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.445 GB; Average Speed:151.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 81.727 GB; Average Speed:151.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.098 GB; Average Speed:151.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.469 GB; Average Speed:151.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 82.906 GB; Average Speed:151.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.43 GB; Average Speed:152.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 83.863 GB; Average Speed:152.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.242 GB; Average Speed:152.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.246 GB; Average Speed:152.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 84.688 GB; Average Speed:152.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.082 GB; Average Speed:152.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.441 GB; Average Speed:152.55 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 85.992 GB; Average Speed:152.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86 GB; Average Speed:152.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.453 GB; Average Speed:152.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 86.797 GB; Average Speed:152.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.207 GB; Average Speed:152.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.609 GB; Average Speed:153.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 87.926 GB; Average Speed:153.15 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.141 GB; Average Speed:152.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 88.727 GB; Average Speed:153.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.016 GB; Average Speed:153.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.484 GB; Average Speed:153.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 89.57 GB; Average Speed:153.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.164 GB; Average Speed:153.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.629 GB; Average Speed:154.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 90.77 GB; Average Speed:153.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.145 GB; Average Speed:153.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.492 GB; Average Speed:154 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 91.938 GB; Average Speed:154.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.297 GB; Average Speed:154.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.582 GB; Average Speed:154.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 92.879 GB; Average Speed:154.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.27 GB; Average Speed:154.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.602 GB; Average Speed:154.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 93.801 GB; Average Speed:154.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.191 GB; Average Speed:154.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.477 GB; Average Speed:154.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 94.859 GB; Average Speed:154.47 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.32 GB; Average Speed:154.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.453 GB; Average Speed:154.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 95.957 GB; Average Speed:154.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.238 GB; Average Speed:154.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 96.727 GB; Average Speed:154.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97 GB; Average Speed:154.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.172 GB; Average Speed:154.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.598 GB; Average Speed:154.89 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 97.91 GB; Average Speed:154.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.25 GB; Average Speed:154.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 98.652 GB; Average Speed:155.09 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.023 GB; Average Speed:155.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.027 GB; Average Speed:154.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 99.652 GB; Average Speed:155.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.113 GB; Average Speed:155.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.262 GB; Average Speed:155.18 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 100.559 GB; Average Speed:155.16 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.047 GB; Average Speed:155.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.391 GB; Average Speed:155.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 101.793 GB; Average Speed:155.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.234 GB; Average Speed:155.82 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 102.734 GB; Average Speed:156.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.07 GB; Average Speed:156.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.434 GB; Average Speed:156.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 103.863 GB; Average Speed:156.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.379 GB; Average Speed:156.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 104.934 GB; Average Speed:157.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.297 GB; Average Speed:157.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.648 GB; Average Speed:157.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 105.93 GB; Average Speed:157.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 106.406 GB; Average Speed:157.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 106.445 GB; Average Speed:156.97 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 106.914 GB; Average Speed:157.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.25 GB; Average Speed:157.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.543 GB; Average Speed:157.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.98 GB; Average Speed:157.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 107.984 GB; Average Speed:156.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 108.371 GB; Average Speed:157.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 108.441 GB; Average Speed:156.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 108.918 GB; Average Speed:156.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 109.23 GB; Average Speed:156.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 109.656 GB; Average Speed:157.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 109.941 GB; Average Speed:157.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 110.215 GB; Average Speed:156.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 110.688 GB; Average Speed:157.2 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 110.996 GB; Average Speed:157.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 111.348 GB; Average Speed:157.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 111.938 GB; Average Speed:157.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 112.016 GB; Average Speed:157.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 112.383 GB; Average Speed:157.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 112.961 GB; Average Speed:157.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 113.391 GB; Average Speed:157.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 113.609 GB; Average Speed:157.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 113.918 GB; Average Speed:157.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 114.309 GB; Average Speed:157.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 114.82 GB; Average Speed:158.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.133 GB; Average Speed:158.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.551 GB; Average Speed:158.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.609 GB; Average Speed:157.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 115.895 GB; Average Speed:157.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 116.207 GB; Average Speed:157.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 116.563 GB; Average Speed:157.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 116.73 GB; Average Speed:157.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 117.133 GB; Average Speed:157.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 117.508 GB; Average Speed:157.92 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 117.914 GB; Average Speed:158.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 117.992 GB; Average Speed:157.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 118.441 GB; Average Speed:157.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 118.535 GB; Average Speed:157.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 118.867 GB; Average Speed:157.63 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 119.363 GB; Average Speed:157.87 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 119.582 GB; Average Speed:157.74 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 119.832 GB; Average Speed:157.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 120.164 GB; Average Speed:157.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 120.535 GB; Average Speed:157.75 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 120.914 GB; Average Speed:157.83 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 121.305 GB; Average Speed:157.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 121.309 GB; Average Speed:157.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 121.688 GB; Average Speed:157.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 122.027 GB; Average Speed:157.64 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 122.402 GB; Average Speed:157.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 122.762 GB; Average Speed:157.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 122.957 GB; Average Speed:157.62 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 123.398 GB; Average Speed:157.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 123.766 GB; Average Speed:157.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 123.797 GB; Average Speed:157.48 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 124.258 GB; Average Speed:157.67 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 124.645 GB; Average Speed:157.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 125.105 GB; Average Speed:157.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 125.344 GB; Average Speed:157.84 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 125.805 GB; Average Speed:158.03 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 126.207 GB; Average Speed:158.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 126.242 GB; Average Speed:157.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 126.574 GB; Average Speed:157.8 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 127.066 GB; Average Speed:158.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 127.566 GB; Average Speed:158.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 127.727 GB; Average Speed:158.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128.09 GB; Average Speed:158.12 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128.547 GB; Average Speed:158.29 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 128.91 GB; Average Speed:158.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 129.398 GB; Average Speed:158.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 129.457 GB; Average Speed:158.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.117 GB; Average Speed:158.66 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.387 GB; Average Speed:158.6 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.684 GB; Average Speed:158.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 130.781 GB; Average Speed:158.31 MB/s. 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"execution_count": 37, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 4 MB; Average Speed:423.95 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 62.739 MB; Average Speed:5.36 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1 file(s), 62.739 MB; Average Speed:4.51 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 14:59:27] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:18\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/train.csv \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.tar.gz')" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; 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\u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1 of total 1 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/14 15:00:25] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1\n", - "Transfer successfully: 1\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:00:53\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/validation.tar.gz \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; 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"metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'train')" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 42.28 KB; Average Speed:4.26 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1622 file(s), 189.129 MB; Average Speed:15.81 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 3032 file(s), 336.938 MB; Average Speed:24.05 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 4579 file(s), 541.24 MB; 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 298948 file(s), 32.009 GB; Average Speed:78.9 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 300647 file(s), 32.182 GB; Average Speed:78.94 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 302334 file(s), 32.389 GB; Average Speed:79.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 304192 file(s), 32.624 GB; Average Speed:79.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 305677 file(s), 32.789 GB; Average Speed:79.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 307246 file(s), 32.925 GB; Average Speed:79.21 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 308643 file(s), 33.112 GB; Average Speed:79.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 309852 file(s), 33.27 GB; Average Speed:79.28 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 311714 file(s), 33.532 GB; Average Speed:79.52 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 312995 file(s), 33.682 GB; Average Speed:79.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 314637 file(s), 33.865 GB; Average 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GB; Average Speed:79.98 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 333356 file(s), 35.944 GB; Average Speed:79.93 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 334808 file(s), 36.095 GB; Average Speed:79.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 336141 file(s), 36.252 GB; Average Speed:79.91 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 337569 file(s), 36.461 GB; Average Speed:80.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 339383 file(s), 36.652 GB; Average Speed:80.08 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 340831 file(s), 36.791 GB; Average Speed:80.04 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 342378 file(s), 36.96 GB; Average Speed:80.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 344230 file(s), 37.102 GB; Average Speed:80.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 345800 file(s), 37.289 GB; Average Speed:80.07 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 347433 file(s), 37.409 GB; Average Speed:79.99 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 348623 file(s), 37.508 GB; Average Speed:79.86 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 350325 file(s), 37.623 GB; Average Speed:79.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 352054 file(s), 37.876 GB; Average Speed:79.96 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 353652 file(s), 38.064 GB; Average Speed:80.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 355277 file(s), 38.223 GB; Average Speed:80.02 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 356929 file(s), 38.376 GB; Average Speed:80 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 358730 file(s), 38.541 GB; Average Speed:80.01 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 360731 file(s), 38.761 GB; Average Speed:80.14 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 362453 file(s), 38.903 GB; Average Speed:80.1 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 363811 file(s), 39.044 GB; Average Speed:80.06 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 365641 file(s), 39.237 GB; Average Speed:80.13 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 384377 file(s), 41.249 GB; Average Speed:80.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 385862 file(s), 41.352 GB; Average Speed:80.19 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 387318 file(s), 41.504 GB; Average Speed:80.17 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 388646 file(s), 41.69 GB; Average Speed:80.22 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 390692 file(s), 41.958 GB; Average Speed:80.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 392332 file(s), 42.157 GB; Average Speed:80.5 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 393433 file(s), 42.297 GB; Average Speed:80.46 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 394603 file(s), 42.413 GB; Average Speed:80.38 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 396147 file(s), 42.562 GB; Average Speed:80.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished: 397730 file(s), 42.73 GB; Average Speed:80.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 399243 file(s), 42.867 GB; Average Speed:80.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 400821 file(s), 43.038 GB; Average Speed:80.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 402238 file(s), 43.186 GB; Average Speed:80.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 404105 file(s), 43.395 GB; Average Speed:80.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 405586 file(s), 43.557 GB; Average Speed:80.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 407248 file(s), 43.706 GB; Average Speed:80.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 408871 file(s), 43.876 GB; Average Speed:80.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 410539 file(s), 44.124 GB; Average Speed:80.56 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 411994 file(s), 44.295 GB; Average Speed:80.58 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 413760 file(s), 44.495 GB; Average Speed:80.65 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 415707 file(s), 44.817 GB; Average 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Average Speed:81.27 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 434704 file(s), 46.942 GB; Average Speed:81.26 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 436496 file(s), 47.14 GB; Average Speed:81.32 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 437752 file(s), 47.288 GB; Average Speed:81.3 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 439479 file(s), 47.48 GB; Average Speed:81.35 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 440851 file(s), 47.677 GB; Average Speed:81.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 441650 file(s), 47.805 GB; Average Speed:81.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 443575 file(s), 48.018 GB; Average Speed:81.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 445398 file(s), 48.147 GB; Average Speed:81.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 447310 file(s), 48.352 GB; Average Speed:81.44 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 448802 file(s), 48.508 GB; Average Speed:81.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 450489 file(s), 48.663 GB; Average Speed:81.42 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 451837 file(s), 48.821 GB; Average Speed:81.41 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 453615 file(s), 48.995 GB; Average Speed:81.43 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 455127 file(s), 49.173 GB; Average Speed:81.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 456885 file(s), 49.335 GB; Average Speed:81.45 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 458294 file(s), 49.458 GB; Average Speed:81.39 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 460103 file(s), 49.629 GB; Average Speed:81.4 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 461621 file(s), 49.754 GB; Average Speed:81.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 462872 file(s), 49.899 GB; Average Speed:81.31 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 464320 file(s), 50.078 GB; Average Speed:81.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 465791 file(s), 50.263 GB; Average Speed:81.37 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 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- }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished: 960838 file(s), 102.541 GB; Average Speed:82.72 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 962665 file(s), 102.794 GB; Average Speed:82.79 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 964336 file(s), 102.958 GB; Average Speed:82.78 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 965861 file(s), 103.1 GB; Average Speed:82.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 967458 file(s), 103.27 GB; Average Speed:82.77 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 968846 file(s), 103.429 GB; Average Speed:82.76 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 969869 file(s), 103.53 GB; Average Speed:82.71 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 971511 file(s), 103.657 GB; Average Speed:82.68 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 973136 file(s), 103.845 GB; Average Speed:82.7 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 974775 file(s), 104.049 GB; Average Speed:82.73 MB/s. 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 1276251 file(s), 136.323 GB; Average Speed:83.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1277902 file(s), 136.511 GB; Average Speed:83.25 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1279439 file(s), 136.644 GB; Average Speed:83.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1281167 file(s), 136.819 GB; Average Speed:83.24 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 1281167 of total 1281167 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/21 11:57:46] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 1281167\n", - "Transfer successfully: 1281167\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:28:07\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/train \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet --recursive" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "destination_url = \"https://{}.blob.core.windows.net/{}/{}\".format(STORAGE_ACCOUNT_NAME, \n", - " CONTAINER_NAME,\n", - " 'validation')" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[?1h\u001b=\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 0 B; Average Speed:0 B/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 0 file(s), 15.602 KB; Average Speed:1.56 KB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 1633 file(s), 203.104 MB; Average Speed:16.88 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 2603 file(s), 327.052 MB; Average Speed:23.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 4497 file(s), 572.907 MB; Average 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\u001b[6n\u001b[1;1H\u001b[6nFinished: 47195 file(s), 5.892 GB; Average Speed:68.34 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49140 file(s), 6.141 GB; Average Speed:69.61 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 49999 file(s), 6.246 GB; Average Speed:69.23 MB/s. \u001b[6n\u001b[1;1H\u001b[6nFinished: 50000 file(s), 6.246 GB; Average Speed:67.73 MB/s. \u001b[6n\u001b[1;1H\u001b[6n \u001b[6n\u001b[1;1HFinished 50000 of total 50000 file(s).\n", - "\u001b[6n \u001b[6n\u001b[1;1H[2018/04/21 12:22:01] Transfer summary:\n", - "-----------------\n", - "Total files transferred: 50000\n", - "Transfer successfully: 50000\n", - "Transfer skipped: 0\n", - "Transfer failed: 0\n", - "Elapsed time: 00.00:01:38\n" - ] - } - ], - "source": [ - "!azcopy --source /mnt/imagenet/validation \\\n", - " --destination $destination_url\\\n", - " --dest-key $storage_account_key --quiet --recursive" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az configure --defaults group=''\n", - "!az configure --defaults location=''" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n validation.csv --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n validation.tar.gz --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n train.csv --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=rw&sv=2017-04-17&sr=b&sig=ZvNReeGrtDS28Cs/0P08tzFMsmDa3mq5dBRnQPc35DM%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n train.tar.gz --permission rw --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=b1TyqISUPFbth6YhJNKtSgww8dhhM9jUpu7rsORmH2o%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n train --permission r --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "!az storage blob generate-sas -c $CONTAINER_NAME -n validation --expiry 2025-1-1 \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r\n", - "Command\r\n", - " az storage container generate-sas: Generates a shared access signature for the container.\r\n", - " Use the returned signature with the sas_token parameter of any BlobService.\r\n", - "\r\n", - "Arguments\r\n", - " --name -n [Required]: The container name.\r\n", - " --cache-control : Response header value for Cache-Control when resource is accessed using\r\n", - " this shared access signature.\r\n", - " --content-disposition: Response header value for Content-Disposition when resource is accessed\r\n", - " using this shared access signature.\r\n", - " --content-encoding : Response header value for Content-Encoding when resource is accessed\r\n", - " using this shared access signature.\r\n", - " --content-language : Response header value for Content-Language when resource is accessed\r\n", - " using this shared access signature.\r\n", - " --content-type : Response header value for Content-Type when resource is accessed using\r\n", - " this shared access signature.\r\n", - " --expiry : Specifies the UTC datetime (Y-m-d'T'H:M'Z') at which the SAS becomes\r\n", - " invalid. Do not use if a stored access policy is referenced with --id\r\n", - " that specifies this value.\r\n", - " --https-only : Only permit requests made with the HTTPS protocol. If omitted, requests\r\n", - " from both the HTTP and HTTPS protocol are permitted.\r\n", - " --ip : Specifies the IP address or range of IP addresses from which to accept\r\n", - " requests. Supports only IPv4 style addresses.\r\n", - " --permissions : The permissions the SAS grants. Allowed values: (d)elete (l)ist (r)ead\r\n", - " (w)rite. Do not use if a stored access policy is referenced with --id\r\n", - " that specifies this value. Can be combined.\r\n", - " --policy-name : The name of a stored access policy within the container's ACL.\r\n", - " --start : Specifies the UTC datetime (Y-m-d'T'H:M'Z') at which the SAS becomes\r\n", - " valid. Do not use if a stored access policy is referenced with --id that\r\n", - " specifies this value. Defaults to the time of the request.\r\n", - "\r\n", - "Storage Account Arguments\r\n", - " --account-key : Storage account key. Must be used in conjunction with storage account\r\n", - " name. Environment variable: AZURE_STORAGE_KEY.\r\n", - " --account-name : Storage account name. Related environment variable:\r\n", - " AZURE_STORAGE_ACCOUNT. Must be used in conjunction with either storage\r\n", - " account key or a SAS token. If neither are present, the command will try\r\n", - " to query the storage account key using the authenticated Azure account.\r\n", - " If a large number of storage commands are executed the API quota may be\r\n", - " hit.\r\n", - " --connection-string : Storage account connection string. Environment variable:\r\n", - " AZURE_STORAGE_CONNECTION_STRING.\r\n", - " --sas-token : A Shared Access Signature (SAS). Must be used in conjunction with storage\r\n", - " account name. Environment variable: AZURE_STORAGE_SAS_TOKEN.\r\n", - "\r\n", - "Global Arguments\r\n", - " --debug : Increase logging verbosity to show all debug logs.\r\n", - " --help -h : Show this help message and exit.\r\n", - " --output -o : Output format. Allowed values: json, jsonc, table, tsv. Default: json.\r\n", - " --query : JMESPath query string. See http://jmespath.org/ for more information and\r\n", - " examples.\r\n", - " --verbose : Increase logging verbosity. Use --debug for full debug logs.\r\n" - ] - } - ], - "source": [ - "!az storage container generate-sas --help" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\"se=2025-01-01&sp=rl&sv=2017-04-17&sr=c&sig=AHbrRTNs7%2B%2BFi3rL%2BHs%2BbYjXDZLPWiXgWQwuhwmEo0A%3D\"\r\n" - ] - } - ], - "source": [ - "!az storage container generate-sas -n $CONTAINER_NAME --expiry 2025-1-1 --permissions lr \\\n", - "--account-key $storage_account_key --account-name $STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'datasharesa'" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "STORAGE_ACCOUNT_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'imagenet'" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "CONTAINER_NAME" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "ename": "SyntaxError", - "evalue": "invalid syntax (, line 1)", - "output_type": "error", - "traceback": [ - "\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m https://datasharesa.blob.core.windows.net/imagenet?restype=container&comp=list&se=2025-01-01&sp=rl&sv=2017-04-17&sr=c&sig=AHbrRTNs7%2B%2BFi3rL%2BHs%2BbYjXDZLPWiXgWQwuhwmEo0A%3D\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" - ] - } - ], - "source": [ - "https://datasharesa.blob.core.windows.net/imagenet?restype=container&comp=list&se=2025-01-01&sp=rl&sv=2017-04-17&sr=c&sig=AHbrRTNs7%2B%2BFi3rL%2BHs%2BbYjXDZLPWiXgWQwuhwmEo0A%3D" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "https://datasharesa.blob.core.windows.net/imagenet/train.csv?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:py35]", - "language": "python", - "name": "conda-env-py35-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/cluster_config/cluster.json b/cluster_config/cluster.json deleted file mode 100644 index 08ee7ca..0000000 --- a/cluster_config/cluster.json +++ /dev/null @@ -1,11 +0,0 @@ -{ - "properties": { - "nodeSetup": { - "setupTask": { - "commandLine": "$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/nodeprep.sh", - "runElevated": "True", - "stdOutErrPathPrefix": "$AZ_BATCHAI_MOUNT_ROOT/extfs" - } - } - } -} \ No newline at end of file diff --git a/cluster_config/docker.service b/cluster_config/docker.service deleted file mode 100644 index f22fd7e..0000000 --- a/cluster_config/docker.service +++ /dev/null @@ -1,35 +0,0 @@ -[Unit] -Description=Docker Application Container Engine -Documentation=https://docs.docker.com -After=network-online.target docker.socket firewalld.service -Wants=network-online.target -Requires=docker.socket - -[Service] -EnvironmentFile=/etc/default/docker -Type=notify -# the default is not to use systemd for cgroups because the delegate issues still -# exists and systemd currently does not support the cgroup feature set required -# for containers run by docker -ExecStart=/usr/bin/dockerd --default-shm-size 8G -g /mnt/docker/ -H fd:// -ExecReload=/bin/kill -s HUP $MAINPID -LimitNOFILE=1048576 -# Having non-zero Limit*s causes performance problems due to accounting overhead -# in the kernel. We recommend using cgroups to do container-local accounting. -LimitNPROC=infinity -LimitCORE=infinity -# Uncomment TasksMax if your systemd version supports it. -# Only systemd 226 and above support this version. -TasksMax=infinity -TimeoutStartSec=0 -# set delegate yes so that systemd does not reset the cgroups of docker containers -Delegate=yes -# kill only the docker process, not all processes in the cgroup -KillMode=process -# restart the docker process if it exits prematurely -Restart=on-failure -StartLimitBurst=3 -StartLimitInterval=60s - -[Install] -WantedBy=multi-user.target diff --git a/cluster_config/nodeprep.sh b/cluster_config/nodeprep.sh deleted file mode 100644 index e617885..0000000 --- a/cluster_config/nodeprep.sh +++ /dev/null @@ -1,4 +0,0 @@ -#!/usr/bin/env bash -sudo cp $AZ_BATCHAI_MOUNT_ROOT/extfs/scripts/docker.service /lib/systemd/system -sudo systemctl daemon-reload -sudo systemctl restart docker diff --git a/cookiecutter.json b/cookiecutter.json new file mode 100644 index 0000000..629b04e --- /dev/null +++ b/cookiecutter.json @@ -0,0 +1,36 @@ +{ + "_project_short_description": "A set of templates for running distributed training on AML", + "project_title": "Template for Distributed Deep Learning using Azure Machine Learning ", + "project_name": "aml_dist", + "resource_group": "amldistrg", + "workspace": "workspace", + "subscription_id": "", + "vm_size": [ + "Standard_NC24r", + "Standard_NC24rs_v2", + "Standard_NC24rs_v3", + "Standard_ND24rs" + ], + "minimum_number_nodes": 2, + "maximum_number_nodes": 2, + "cluster_name":"gpucluster", + "container_registry": "dockerhub", + "type": [ + "all", + "template", + "benchmark", + "imagenet" + ], + "region": [ + "eastus", + "southcentralus" + ], + "experiment_name": "experiment", + "data":"/mnt/imagenet", + "image_name":"aml_dist", + "_remove_unused_projects": false, + "account_name": "distpremstorage", + "account_key": "", + "datastore_name":"datastore", + "container_name":"container" +} \ No newline at end of file diff --git a/experiments/blob/Makefile b/experiments/blob/Makefile deleted file mode 100644 index d918cf7..0000000 --- a/experiments/blob/Makefile +++ /dev/null @@ -1,143 +0,0 @@ -include ../experiments_config.mk - -CONTAINER_NAME=batch${ID}blob -EXPERIMENT:=experiment_imagenet_blob_${GPU_TYPE} - -include ../../include/control.mk - -define submit_keras_intel - $(call generate_job_intel,masalvar/horovod-intel-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_keras - $(call generate_job_openmpi,masalvar/horovod-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_keras_local - $(call generate_job_local,masalvar/horovod-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2)) - $(call submit_job,$(3)) -endef - -define submit_tf_intel - $(call generate_job_intel,masalvar/horovod-intel:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_tf - $(call generate_job_openmpi,masalvar/horovod:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_tf_local - $(call generate_job_local,masalvar/horovod-intel:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1), $(2)) - $(call submit_job, $(3)) -endef - -define submit_pytorch - $(call generate_job_openmpi,masalvar/horovod-pytorch,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_pytorch_local - $(call generate_job_local,masalvar/horovod-pytorch,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_horovod.py,$(1), $(2)) - $(call submit_job, $(3)) -endef - -upload-data: upload-training upload-validation upload-csv - @echo 'All data uploaded' - -upload-training: set-storage - azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train \ - --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \ - --destination https://${azure_storage_account}.blob.core.windows.net/${CONTAINER_NAME}/train \ - --dest-key ${azure_storage_key} --quiet --recursive --exclude-older - -upload-validation: set-storage - azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation \ - --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \ - --destination https://${azure_storage_account}.blob.core.windows.net/${CONTAINER_NAME}/validation \ - --dest-key ${azure_storage_key} --quiet --recursive - - -upload-csv: set-storage - azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \ - --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \ - --destination https://${azure_storage_account}.blob.core.windows.net/${CONTAINER_NAME}/train.csv \ - --dest-key ${azure_storage_key} --quiet - - azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \ - --source-key 'owUPSqTbwAigV54BHTr8oYABEha8xi/VsA4HD06GboDgOb3pf6OFgtw/tlKYv/AlkgSIBkxqoA28hnkIeo4NFg==' \ - --destination https://${azure_storage_account}.blob.core.windows.net/${CONTAINER_NAME}/validation.csv \ - --dest-key ${azure_storage_key} --quiet - -create-cluster: upload-nodeprep-scripts - az batchai cluster create \ - -w $(WORKSPACE) \ - --name ${CLUSTER_NAME} \ - --image UbuntuLTS \ - --vm-size ${VM_SIZE} \ - --min ${NUM_NODES} --max ${NUM_NODES} \ - --afs-name ${FILE_SHARE_NAME} \ - --afs-mount-path extfs \ - --user-name mat \ - --password dnstvxrz \ - --storage-account-name $(STORAGE_ACCOUNT_NAME) \ - --storage-account-key $(azure_storage_key) \ - --bfs-name $(CONTAINER_NAME) \ - --bfs-mount-path extcn \ - --config-file ../../cluster_config/cluster.json - - -submit-all: submit-keras-intel32 submit-keras-intel16 submit-keras-intel8 submit-keras-intel4 submit-tf-intel32 \ -submit-tf-intel16 submit-tf-intel8 submit-tf-intel4 submit-pytorch32 submit-pytorch16 submit-pytorch8 submit-pytorch4 \ -submit-keras-local submit-tf-local submit-pytorch-local - -submit-keras-intel32: - $(call submit_keras_intel,8,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,keras-intel-32) - -submit-keras-intel16: - $(call submit_keras_intel,4,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,keras-intel-16) - -submit-keras-intel8: - $(call submit_keras_intel,2,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,keras-intel-8) - -submit-keras-intel4: - $(call submit_keras_intel,1,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,keras-intel-4) - -submit-keras-local: - $(call submit_keras_local,1, --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,keras-local) - - - -submit-tf-intel32: - $(call submit_tf_intel,8,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,tf-intel-32) - -submit-tf-intel16: - $(call submit_tf_intel,4,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,tf-intel-16) - -submit-tf-intel8: - $(call submit_tf_intel,2,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,tf-intel-8) - -submit-tf-intel4: - $(call submit_tf_intel,1,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,tf-intel-4) - -submit-tf-local: - $(call submit_tf_local,1, --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,tf-local) - - -submit-pytorch32: - $(call submit_pytorch,8,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,pytorch-32) - -submit-pytorch16: - $(call submit_pytorch,4,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,pytorch-16) - -submit-pytorch8: - $(call submit_pytorch,2,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,pytorch-8) - -submit-pytorch4: - $(call submit_pytorch,1,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,pytorch-4) - -submit-pytorch-local: - $(call submit_pytorch_local,1, --data \$$AZ_BATCHAI_MOUNT_ROOT/extcn ,pytorch-local) \ No newline at end of file diff --git a/experiments/experiments_config.mk b/experiments/experiments_config.mk deleted file mode 100644 index 16478b5..0000000 --- a/experiments/experiments_config.mk +++ /dev/null @@ -1,16 +0,0 @@ -# Variables for Batch AI - change as necessary -ID:=iliadl3 -LOCATION:=eastus -GROUP_NAME:=batch${ID}rg -STORAGE_ACCOUNT_NAME:=batch${ID}st -FILE_SHARE_NAME:=batch${ID}share -SELECTED_SUBSCRIPTION:="Team Danielle Internal" -WORKSPACE:=workspace - -VM_SIZE:=Standard_NC24rs_v3 -NUM_NODES:=2 -CLUSTER_NAME:=ikv100 - - -GPU_TYPE:=V100 -PROCESSES_PER_NODE:=4 diff --git a/experiments/gather_results.py b/experiments/gather_results.py deleted file mode 100644 index 6cfbe6c..0000000 --- a/experiments/gather_results.py +++ /dev/null @@ -1,35 +0,0 @@ -import json -import logging -from glob import iglob -from itertools import chain -import os - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - - -def append_storage_type(json_data, filename): - json_data['Storage Type'] = os.path.dirname(filename) - - -def read_json(filename): - logger.info('Reading {}...'.format(filename)) - with open(filename) as f: - return json.load(f) - - -def write_json_to_file(json_data, filename): - with open(filename, 'w') as outfile: - json.dump(json_data, outfile) - - -def main(filename='all_results.json'): - files = iglob('**/results.json', recursive=True) - json_data = (read_json(i) for i in files) - augmented_json_data = (append_storage_type(j, f) for j, f in zip(json_data, files)) - write_json_to_file(list(chain.from_iterable(augmented_json_data)), filename) - logger.info('All results written to {}'.format(filename)) - - -if __name__ == "__main__": - main() diff --git a/experiments/generate_job_spec.py b/experiments/generate_job_spec.py deleted file mode 100644 index 5ab0724..0000000 --- a/experiments/generate_job_spec.py +++ /dev/null @@ -1,343 +0,0 @@ -import argparse -import json -import logging - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - -# -# Config for Intel -cmd_for_intel = \ - """source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; - echo $AZ_BATCH_HOST_LIST; - mpirun -n {total_processes} -ppn {processes_per_node} {hosts} - -env I_MPI_FABRICS=dapl - -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 - -env I_MPI_DYNAMIC_CONNECTION=0 - -env I_MPI_DEBUG=6 - -env I_MPI_HYDRA_DEBUG=on - -env DISTRIBUTED=True - {fake} - {fake_length} - python -u {script}""".replace('\n', '') - -# Config for OpenMPI -cmd_for_openmpi = \ - """echo $AZ_BATCH_HOST_LIST; - cat $AZ_BATCHAI_MPI_HOST_FILE; - mpirun -np {total_processes} {hosts} - -bind-to none -map-by slot - -x NCCL_DEBUG=INFO -x LD_LIBRARY_PATH - -mca btl_tcp_if_include eth0 - -x NCCL_SOCKET_IFNAME=eth0 - -mca btl ^openib - -x NCCL_IB_DISABLE=1 - -x DISTRIBUTED=True - -x AZ_BATCHAI_INPUT_TRAIN - -x AZ_BATCHAI_INPUT_TEST - {fake} - {fake_length} - --allow-run-as-root - python -u {script}""".replace('\n', '') - -# Running on single node without mpi -cmd_local = """{fake} {fake_length} python -u {script}""".replace('\n', '') - -cmd_choice_dict = { - 'openmpi': cmd_for_openmpi, - 'intelmpi': cmd_for_intel, - 'local': cmd_local -} - -hosts_param = { - 'openmpi': '--hostfile $AZ_BATCHAI_MPI_HOST_FILE ', - 'intelmpi': '-hosts $AZ_BATCH_HOST_LIST ', - 'local': '' -} - -fake_param = { - 'openmpi': '-x FAKE=True ', - 'intelmpi': '-env FAKE=True ', - 'local': ' FAKE=True ' -} - -fake_length_param = { - 'openmpi': '-x FAKE_DATA_LENGTH={} ', - 'intelmpi': '-env FAKE_DATA_LENGTH={} ', - 'local': ' FAKE_DATA_LENGTH={} ' -} - - -def _hosts_for(mpitype, node_count): - if node_count > 1: - return hosts_param.get(mpitype, '') - else: - return hosts_param.get('local') - - -def _fake_for(mpitype, data): - if data is None: - return fake_param.get(mpitype, '') - else: - return '' - - -def _fake_length_for(mpitype, fake_length, data): - if data is None: - return fake_length_param.get(mpitype, '').format(fake_length) - else: - return '' - - -def _prepare_command(mpitype, total_processes, processes_per_node, script, node_count, data=None, - synthetic_length=1281167): - command = cmd_choice_dict.get(mpitype, cmd_for_intel) - return command.format(total_processes=total_processes, - processes_per_node=processes_per_node, - script=script, - hosts=_hosts_for(mpitype, node_count), - fake=_fake_for(mpitype, data), - fake_length=_fake_length_for(mpitype, synthetic_length, data)) - - -def append_data_paths(job_template_dict, data_path): - job_template_dict['properties']['inputDirectories'].extend([{ - "id": "TRAIN", - "path": data_path, - }, - { - "id": "TEST", - "path": data_path, - }]) - return job_template_dict - - -def generate_job_dict(image_name, - command, - node_count=2): - return { - "$schema": "https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2017-09-01-preview/job.json", - "properties": { - "nodeCount": node_count, - "customToolkitSettings": { - "commandLine": command - }, - "stdOutErrPathPrefix": "$AZ_BATCHAI_MOUNT_ROOT/extfs", - "inputDirectories": [{ - "id": "SCRIPTS", - "path": "$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts" - }, - ], - "outputDirectories": [{ - "id": "MODEL", - "pathPrefix": "$AZ_BATCHAI_MOUNT_ROOT/extfs", - "pathSuffix": "Models" - }], - "containerSettings": { - "imageSourceRegistry": { - "image": image_name - } - } - } - } - - -def generate_job_dict_gloo(image_name, - script, - node_count=2): - # Command is hard-coded for time-being - # Not sure what world-size is?? Probably node_count but check - return { - "$schema": "https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2018-05-01/job.json", - "properties": { - "pyTorchSettings": { - "pythonScriptFilePath": script, - "commandLineArgs": "--world-size 2 --dist-backend $AZ_BATCHAI_PYTORCH_BACKEND --dist-url $AZ_BATCHAI_PYTORCH_INIT_METHOD --rank $AZ_BATCHAI_TASK_INDEX", - "communicationBackend": "gloo" - }, - "nodeCount": node_count, - "stdOutErrPathPrefix": "$AZ_BATCHAI_MOUNT_ROOT/extfs", - "inputDirectories": [{ - "id": "SCRIPTS", - "path": "$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts" - }, - { - "id": "TRAIN", - "path": "$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet", - }, - { - "id": "TEST", - "path": "$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet", - }, - ], - "outputDirectories": [{ - "id": "MODEL", - "pathPrefix": "$AZ_BATCHAI_MOUNT_ROOT/extfs", - "pathSuffix": "Models" - }], - "containerSettings": { - "imageSourceRegistry": { - "image": image_name - } - } - } - } - - -def generate_job_dict_cntk(image_name, - node_count=2, - processes_per_node=4, - env_var=[]): - return { - "$schema": "https://raw.githubusercontent.com/Azure/BatchAI/master/schemas/2018-03-01/job.json", - "properties": { - "nodeCount": node_count, - "cntkSettings": { - "pythonScriptFilePath": "$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_cntk.py", - "processCount": processes_per_node - }, - "environmentVariables": env_var, - "stdOutErrPathPrefix": "$AZ_BATCHAI_MOUNT_ROOT/extfs", - "inputDirectories": [{ - "id": "SCRIPTS", - "path": "$AZ_BATCHAI_MOUNT_ROOT/extfs/scripts" - }, - { - "id": "TRAIN", - "path": "$AZ_BATCHAI_MOUNT_ROOT/imagenet", - }, - { - "id": "TEST", - "path": "$AZ_BATCHAI_MOUNT_ROOT/imagenet", - }, - ], - "outputDirectories": [{ - "id": "MODEL", - "pathPrefix": "$AZ_BATCHAI_MOUNT_ROOT/extfs", - "pathSuffix": "Models" - }], - "containerSettings": { - "imageSourceRegistry": { - "image": image_name - } - } - } - } - - -def write_json_to_file(json_dict, filename, mode='w'): - with open(filename, mode) as outfile: - json.dump(json_dict, outfile, indent=4, sort_keys=True) - outfile.write('\n\n') - - -def synthetic_data_job(image_name, - mpitype, - script, - filename='job.json', - node_count=2, - total_processes=None, - processes_per_node=4, - synthetic_length=1281167, - framework='horovod'): - logger.info('Creating manifest for job with synthetic data {} with {} image...'.format( - filename, image_name)) - total_processes = processes_per_node * \ - node_count if total_processes is None else total_processes - if framework == 'gloo': - job_template = generate_job_dict_gloo(image_name, - script, - node_count=node_count) - elif framework == 'cntk': - env_var = [{"name": "DISTRIBUTED", "value": "True"}, - {"name": "FAKE", "value": "True"}, - {"name": "FAKE_DATA_LENGTH", "value": str(synthetic_length)}] - job_template = generate_job_dict_cntk(image_name, - node_count, - processes_per_node, - env_var) - elif framework == 'horovod': - command = _prepare_command(mpitype, - total_processes, - processes_per_node, - script, - node_count, - synthetic_length=synthetic_length) - job_template = generate_job_dict(image_name, - command, - node_count=node_count) - else: - raise ValueError("Wrong framework argument {}".format(framework)) - write_json_to_file(job_template, filename) - logger.info('Done') - - -def imagenet_data_job(image_name, - mpitype, - script, - data_path, - filename='job.json', - node_count=2, - total_processes=None, - processes_per_node=4): - logger.info('Creating manifest for job with real data {} with {} image...'.format( - filename, image_name)) - total_processes = processes_per_node * \ - node_count if total_processes is None else total_processes - # non-synthetic gloo to add - command = _prepare_command(mpitype, - total_processes, - processes_per_node, - script, - node_count, - data=data_path) - job_template = generate_job_dict(image_name, - command, - node_count=node_count) - job_template = append_data_paths(job_template, data_path) - write_json_to_file(job_template, filename) - logger.info('Done') - - -if __name__ == '__main__': - parser = argparse.ArgumentParser(description='Generate manifest') - parser.add_argument('docker_image', type=str, - help='docker image to use') - parser.add_argument('mpi', type=str, - help='mpi to use, must be install in the docker image provided options:[intelmpi, openmpi, local]') - parser.add_argument('script', type=str, - help='script to run') - parser.add_argument('--filename', '-f', dest='filename', type=str, nargs='?', - default='job.json', - help='name of the file to save job spec to') - parser.add_argument('--node_count', '-n', dest='node_count', type=int, nargs='?', - default=1, help='the number of nodes to run the job across') - parser.add_argument('--ppn', dest='processes_per_node', type=int, nargs='?', - default=4, - help='number of GPU proceses to run per node') - parser.add_argument('--data', dest='data', type=str, nargs='?', - default=None, - help='the path where the imagenet data is stored') - parser.add_argument('--synthetic_length', '-l', dest='synthetic_length', type=str, nargs='?', - default=1281167, - help='the length of the fake data [default=size of imagenet 1281167]') - parser.add_argument('--framework', '-fw', type=str, nargs='?', default='horovod', - help='the framework used to generate the configuration, options:[horovod, gloo, cntk]') - args = parser.parse_args() - if args.data is None: - synthetic_data_job(args.docker_image, - args.mpi, - args.script, - filename=args.filename, - node_count=args.node_count, - processes_per_node=args.processes_per_node, - synthetic_length=args.synthetic_length, - framework=args.framework) - else: - imagenet_data_job(args.docker_image, - args.mpi, - args.script, - args.data, - filename=args.filename, - node_count=args.node_count, - processes_per_node=args.processes_per_node) diff --git a/experiments/local/Makefile b/experiments/local/Makefile deleted file mode 100644 index 0db65a2..0000000 --- a/experiments/local/Makefile +++ /dev/null @@ -1,137 +0,0 @@ -include ../experiments_config.mk - -NFS_NAME=batch${ID}nfs -EXPERIMENT:=experiment_imagenet_local_${GPU_TYPE} -NFS_IP:="" - -include ../../include/control.mk - -define submit_keras_intel - $(call generate_job_intel,masalvar/horovod-intel-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_keras - $(call generate_job_openmpi,masalvar/horovod-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_keras_local - $(call generate_job_local,masalvar/horovod-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2)) - $(call submit_job,$(3)) -endef - -define submit_tf_intel - $(call generate_job_intel,masalvar/horovod-intel:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_tf - $(call generate_job_openmpi,masalvar/horovod:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_tf_local - $(call generate_job_local,masalvar/horovod-intel:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1), $(2)) - $(call submit_job, $(3)) -endef - -define submit_pytorch - $(call generate_job_openmpi,masalvar/horovod-pytorch,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_pytorch_intel - $(call generate_job_intel,masalvar/horovod-intel-pytorch:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_pytorch_local - $(call generate_job_local,masalvar/horovod-pytorch,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_horovod.py,$(1), $(2)) - $(call submit_job, $(3)) -endef - -define upload-data-nfs - scp nodeprep.sh mat@$(1):~/ - ssh mat@$(1) sudo chmod 777 ~/nodeprep.sh - ssh mat@$(1) ./nodeprep.sh -endef - -upload-nodeprep-scripts: set-storage - $(call upload_script, ../../cluster_config/docker.service) - $(call upload_script, ../../cluster_config/nodeprep.sh) - -upload-download-script: set-storage - $(call upload_script, downloaddata.sh) - -create-cluster: upload-nodeprep-scripts upload-download-script - az batchai cluster create \ - -w $(WORKSPACE) \ - --name ${CLUSTER_NAME} \ - --image UbuntuLTS \ - --vm-size ${VM_SIZE} \ - --min ${NUM_NODES} --max ${NUM_NODES} \ - --afs-name ${FILE_SHARE_NAME} \ - --afs-mount-path extfs \ - --user-name mat \ - --password dnstvxrz \ - --storage-account-name $(STORAGE_ACCOUNT_NAME) \ - --storage-account-key $(azure_storage_key) \ - --nfs ${NFS_NAME} \ - --nfs-mount-path nfs \ - --config-file ../../cluster_config/cluster.json - -upload-data-nfs: - $(call upload-data-nfs,$(NFS_IP)) - - -submit-keras-intel32: - $(call submit_keras_intel,8,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,keras-intel-32) - -submit-keras-intel16: - $(call submit_keras_intel,4,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,keras-intel-16) - -submit-keras-intel8: - $(call submit_keras_intel,2,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,keras-intel-8) - -submit-keras-intel4: - $(call submit_keras_intel,1,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,keras-intel-4) - -submit-keras-local: - $(call submit_keras_local,1, --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,keras-local) - - - -submit-tf-intel32: - $(call submit_tf_intel,8,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,tf-intel-32) - -submit-tf-intel16: - $(call submit_tf_intel,4,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,tf-intel-16) - -submit-tf-intel8: - $(call submit_tf_intel,2,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,tf-intel-8) - -submit-tf-intel4: - $(call submit_tf_intel,1,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,tf-intel-4) - -submit-tf-local: - $(call submit_tf_local,1, --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,tf-local) - - -submit-pytorch32: - $(call submit_pytorch,8,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,pytorch-32) - -submit-pytorch16: - $(call submit_pytorch,4,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,pytorch-16) - -submit-pytorch8: - $(call submit_pytorch,2,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,pytorch-8) - -submit-pytorch4: - $(call submit_pytorch,1,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,pytorch-4) - -submit-pytorch-intel4: - $(call submit_pytorch_intel,1,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,pytorch-intel-4) - -submit-pytorch-local: - $(call submit_pytorch_local,1, --data \$$AZ_BATCHAI_MOUNT_ROOT/imagenet ,pytorch-local) diff --git a/experiments/local/downloaddata.sh b/experiments/local/downloaddata.sh deleted file mode 100644 index fad1f4f..0000000 --- a/experiments/local/downloaddata.sh +++ /dev/null @@ -1,10 +0,0 @@ -#!/usr/bin/env bash -# Download data -mkdir -p $AZ_BATCHAI_MOUNT_ROOT/imagenet -rsync --info=progress2 $AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet/train.tar.gz $AZ_BATCHAI_MOUNT_ROOT/imagenet -rsync --info=progress2 $AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet/validation.tar.gz $AZ_BATCHAI_MOUNT_ROOT/imagenet -rsync --info=progress2 $AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet/train.csv $AZ_BATCHAI_MOUNT_ROOT/imagenet -rsync --info=progress2 $AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet/validation.csv $AZ_BATCHAI_MOUNT_ROOT/imagenet -cd $AZ_BATCHAI_MOUNT_ROOT/imagenet -tar -xzf train.tar.gz -tar -xzf validation.tar.gz diff --git a/experiments/nfs/Makefile b/experiments/nfs/Makefile deleted file mode 100644 index dd45931..0000000 --- a/experiments/nfs/Makefile +++ /dev/null @@ -1,125 +0,0 @@ -include ../experiments_config.mk - -NFS_NAME=batch${ID}nfs -EXPERIMENT:=experiment_imagenet_${GPU_TYPE} -NFS_IP:="" - -include ../../include/control.mk - -define submit_keras_intel - $(call generate_job_intel,masalvar/horovod-intel-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_keras - $(call generate_job_openmpi,masalvar/horovod-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_keras_local - $(call generate_job_local,masalvar/horovod-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2)) - $(call submit_job,$(3)) -endef - -define submit_tf_intel - $(call generate_job_intel,masalvar/horovod-intel:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_tf - $(call generate_job_openmpi,masalvar/horovod:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_tf_local - $(call generate_job_local,masalvar/horovod-intel:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1), $(2)) - $(call submit_job, $(3)) -endef - -define submit_pytorch - $(call generate_job_openmpi,masalvar/horovod-pytorch,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_horovod.py,$(1),$(2),$(3)) - $(call submit_job,$(4)) -endef - -define submit_pytorch_local - $(call generate_job_local,masalvar/horovod-pytorch,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_horovod.py,$(1), $(2)) - $(call submit_job, $(3)) -endef - -define upload-data-nfs - scp nodeprep.sh mat@$(1):~/ - ssh mat@$(1) sudo chmod 777 ~/nodeprep.sh - ssh mat@$(1) ./nodeprep.sh -endef - -create-cluster: upload-nodeprep-scripts - az batchai cluster create \ - -w $(WORKSPACE) \ - --name ${CLUSTER_NAME} \ - --image UbuntuLTS \ - --vm-size ${VM_SIZE} \ - --min ${NUM_NODES} --max ${NUM_NODES} \ - --afs-name ${FILE_SHARE_NAME} \ - --afs-mount-path extfs \ - --user-name mat \ - --password dnstvxrz \ - --storage-account-name $(STORAGE_ACCOUNT_NAME) \ - --storage-account-key $(azure_storage_key) \ - --nfs ${NFS_NAME} \ - --nfs-mount-path nfs \ - --config-file ../../cluster_config/cluster.json - -upload-data-nfs: - $(call upload-data-nfs,$(NFS_IP)) - -submit-all: submit-keras-intel32 submit-keras-intel16 submit-keras-intel8 submit-keras-intel4 submit-tf-intel32 \ -submit-tf-intel16 submit-tf-intel8 submit-tf-intel4 submit-pytorch32 submit-pytorch16 submit-pytorch8 submit-pytorch4 \ -submit-keras-local submit-tf-local submit-pytorch-local - -submit-keras-intel32: - $(call submit_keras_intel,8,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,keras-intel-32) - -submit-keras-intel16: - $(call submit_keras_intel,4,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,keras-intel-16) - -submit-keras-intel8: - $(call submit_keras_intel,2,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,keras-intel-8) - -submit-keras-intel4: - $(call submit_keras_intel,1,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,keras-intel-4) - -submit-keras-local: - $(call submit_keras_local,1, --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,keras-local) - - - -submit-tf-intel32: - $(call submit_tf_intel,8,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,tf-intel-32) - -submit-tf-intel16: - $(call submit_tf_intel,4,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,tf-intel-16) - -submit-tf-intel8: - $(call submit_tf_intel,2,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,tf-intel-8) - -submit-tf-intel4: - $(call submit_tf_intel,1,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,tf-intel-4) - -submit-tf-local: - $(call submit_tf_local,1, --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,tf-local) - - -submit-pytorch32: - $(call submit_pytorch,8,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,pytorch-32) - -submit-pytorch16: - $(call submit_pytorch,4,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,pytorch-16) - -submit-pytorch8: - $(call submit_pytorch,2,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,pytorch-8) - -submit-pytorch4: - $(call submit_pytorch,1,$(PROCESSES_PER_NODE), --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,pytorch-4) - -submit-pytorch-local: - $(call submit_pytorch_local,1, --data \$$AZ_BATCHAI_MOUNT_ROOT/nfs/imagenet ,pytorch-local) diff --git a/experiments/nfs/nodeprep.sh b/experiments/nfs/nodeprep.sh deleted file mode 100644 index e8c66bb..0000000 --- a/experiments/nfs/nodeprep.sh +++ /dev/null @@ -1,29 +0,0 @@ -#!/usr/bin/env bash -wget https://gist.githubusercontent.com/msalvaris/073c28a9993d58498957294d20d74202/raw/916eefe763c71da49d8ed41cb8474bdc8021af33/install_azcopy -chmod 777 install_azcopy -sudo ./install_azcopy - -mkdir -p /data/imagenet -azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.csv \ - --destination /data/imagenet/validation.csv\ - --source-sas "?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=7x3rN7c/nlXbnZ0gAFywd5Er3r6MdwCq97Vwvda25WE%3D"\ - --quiet - -azcopy --source https://datasharesa.blob.core.windows.net/imagenet/validation.tar.gz \ - --destination /data/imagenet/validation.tar.gz\ - --source-sas "?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=zy8L4shZa3XXBe152hPnhXsyfBqCufDOz01a9ZHWU28%3D"\ - --quiet - -azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.csv \ - --destination /data/imagenet/train.csv\ - --source-sas "?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=EUcahDDZcefOKtHoVWDh7voAC1BoxYNM512spFmjmDU%3D"\ - --quiet - -azcopy --source https://datasharesa.blob.core.windows.net/imagenet/train.tar.gz \ - --destination /data/imagenet/train.tar.gz\ - --source-sas "?se=2025-01-01&sp=r&sv=2017-04-17&sr=b&sig=qP%2B7lQuFKHo5UhQKpHcKt6p5fHT21lPaLz1O/vv4FNU%3D"\ - --quiet - -cd /data/imagenet -tar -xvzf train.tar.gz -tar -xzvf validation.tar.gz \ No newline at end of file diff --git a/experiments/parse_results.py b/experiments/parse_results.py deleted file mode 100644 index 95c5dc8..0000000 --- a/experiments/parse_results.py +++ /dev/null @@ -1,106 +0,0 @@ -from glob import glob -import numpy as np -import json -import logging - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - - -def extract_mpi_type(file): - return file.split('_')[-1].split('.')[0] - - -def extract_gpu_type(file): - return file.split('_')[-2] - - -def extract_framework(file): - return file.split('_')[0] - - -def extract_images_per_second(data): - def _extract(line_string): - if 'Total images/sec: ' in line_string: - return float(line_string.split(':')[-1].strip()) - - return np.array(list( - filter(None, - map(_extract, data)) - )).mean() - - -def extract_total_duration(data): - def _extract(line_string): - if 'Total duration: ' in line_string: - return float(line_string.split(':')[-1].strip()) - - return np.array(list( - filter(None, - map(_extract, data)) - )).mean() - - -def extact_data_length(data): - for line in data: - if 'Data length: ' in line: - return int(line.split(':')[-1].strip()) - - -def extract_batch_size(data): - for line in data: - if 'Batch size: ' in line: - return int(line.split(':')[-1].strip().split(' ')[-1].strip(')')) - - -def extact_dataset(data): - for line in data: - if 'Dataset: ' in line: - return line.split(':')[-1].strip() - - -def extract_num_devices(data): - for line in data: - if 'Num GPUs: ' in line: - return int(float(line.split(': ')[-1].strip())) - - -extraction_funcs = { - 'Images/Second': extract_images_per_second, - 'Batch Size': extract_batch_size, - 'Data Length': extact_data_length, - 'Total Duration': extract_total_duration, - 'Dataset': extact_dataset, - 'GPUs': extract_num_devices, -} - - -def parse_results(file): - logger.info('Processing {}'.format(file)) - with open(file) as f: - data = f.readlines() - results_dict = {key: func(data) for key, func in extraction_funcs.items()} - results_dict['MPI'] = extract_mpi_type(file) - results_dict['GPU Type'] = extract_gpu_type(file) - results_dict['Framework'] = extract_framework(file) - return results_dict - - -def write_json_to_file(json_dict, filename): - """ Simple function to write JSON dictionaries to files - """ - with open(filename, 'w') as outfile: - json.dump(json_dict, outfile) - - -def main(path='*.results', filename='results.json'): - logger.info('Reading files from {} and writing to {}'.format(path, filename)) - files = glob('*.results') - logger.info('Found {} files'.format(len(files))) - results = [parse_results(file) for file in files] - logger.info('Writing results to {}'.format(filename)) - write_json_to_file(results, filename) - - -if __name__ == '__main__': - main() diff --git a/experiments/synthetic/Makefile b/experiments/synthetic/Makefile deleted file mode 100644 index 63982f9..0000000 --- a/experiments/synthetic/Makefile +++ /dev/null @@ -1,161 +0,0 @@ -include ../experiments_config.mk - -FAKE_DATA_LENGTH:=1281167 -EXPERIMENT:=experiment_synthetic_${GPU_TYPE} - -include ../../include/control.mk - -define submit_keras_intel - $(call generate_job_intel,masalvar/horovod-intel-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2), --synthetic_length ${FAKE_DATA_LENGTH} ) - $(call submit_job, $(3)) -endef - -define submit_keras - $(call generate_job_openmpi,masalvar/horovod-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1),$(2), --synthetic_length ${FAKE_DATA_LENGTH}) - $(call submit_job, $(3)) -endef - -define submit_keras_local - $(call generate_job_local,masalvar/horovod-keras:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_keras_horovod.py,$(1), --synthetic_length ${FAKE_DATA_LENGTH}) - $(call submit_job, $(2)) -endef - -define submit_tf_intel - $(call generate_job_intel,masalvar/horovod-intel:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1),$(2), --synthetic_length ${FAKE_DATA_LENGTH}) - $(call submit_job, $(3)) -endef - -define submit_tf - $(call generate_job_openmpi,masalvar/horovod:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1),$(2), --synthetic_length ${FAKE_DATA_LENGTH}) - $(call submit_job, $(3)) -endef - -define submit_tf_local - $(call generate_job_local,masalvar/horovod-intel:9-1.8-.13.2,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_estimator_tf_horovod.py,$(1), --synthetic_length ${FAKE_DATA_LENGTH}) - $(call submit_job, $(2)) -endef - -define submit_pytorch - $(call generate_job_openmpi,masalvar/horovod-pytorch,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_horovod.py,$(1),$(2), --synthetic_length ${FAKE_DATA_LENGTH}) - $(call submit_job, $(3)) -endef - -define submit_pytorch_local - $(call generate_job_local,masalvar/horovod-pytorch,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_horovod.py,$(1), --synthetic_length ${FAKE_DATA_LENGTH}) - $(call submit_job, $(2)) -endef - -define submit_pytorch_gloo - $(call generate_job_gloo,iliauk/pytorch_gloo,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_pytorch_gloo.py,$(1),$(2), --synthetic_length ${FAKE_DATA_LENGTH}) - $(call submit_job, $(3)) -endef - -define submit_cntk - $(call generate_job_cntk,hoaphumanoid/cntk:distributed,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_cntk.py,$(1),$(2), --synthetic_length ${FAKE_DATA_LENGTH}) - $(call submit_job, $(3)) -endef - -define submit_cntk_local - $(call generate_job_local,hoaphumanoid/cntk:distributed,\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_cntk.py,$(1), --synthetic_length ${FAKE_DATA_LENGTH}) - $(call submit_job, $(2)) -endef - - -create-cluster: upload-nodeprep-scripts - az batchai cluster create \ - -w $(WORKSPACE) \ - --name ${CLUSTER_NAME} \ - --image UbuntuLTS \ - --vm-size ${VM_SIZE} \ - --min ${NUM_NODES} --max ${NUM_NODES} \ - --afs-name ${FILE_SHARE_NAME} \ - --afs-mount-path extfs \ - --user-name mat \ - --password dnstvxrz \ - --storage-account-name $(STORAGE_ACCOUNT_NAME) \ - --storage-account-key $(azure_storage_key) \ - --config-file ../../cluster_config/cluster.json - - -submit-all: submit-keras-intel32 submit-keras-intel16 submit-keras-intel8 submit-keras-intel4 \ -submit-tf-intel32 submit-tf-intel16 submit-tf-intel8 submit-tf-intel4 \ -submit-pytorch32 submit-pytorch16 submit-pytorch8 submit-pytorch4 \ -submit-pytorch_gloo32 submit-pytorch_gloo16 submit-pytorch_gloo8 submit-pytorch_gloo4 \ -submit-cntk32 submit-cntk16 submit-cntk8 submit-cntk4 \ -submit-keras-local submit-tf-local submit-pytorch-local submit_cntk_local - -submit-keras-intel32: - $(call submit_keras_intel,$(NUM_NODES),$(PROCESSES_PER_NODE),keras-intel-32) - -submit-keras-intel16: - $(call submit_keras_intel,4,$(PROCESSES_PER_NODE),keras-intel-16) - -submit-keras-intel8: - $(call submit_keras_intel,2,$(PROCESSES_PER_NODE),keras-intel-8) - -submit-keras-intel4: - $(call submit_keras_intel,1,$(PROCESSES_PER_NODE),keras-intel-4) - -submit-keras-local: - $(call submit_keras_local,1,keras-local) - - -submit-tf-intel32: - $(call submit_tf_intel,$(NUM_NODES),$(PROCESSES_PER_NODE),tf-intel-32) - -submit-tf-intel16: - $(call submit_tf_intel,4,$(PROCESSES_PER_NODE),tf-intel-16) - -submit-tf-intel8: - $(call submit_tf_intel,2,$(PROCESSES_PER_NODE),tf-intel-8) - -submit-tf-intel4: - $(call submit_tf_intel,1,$(PROCESSES_PER_NODE),tf-intel-4) - -submit-tf-local: - $(call submit_tf_local,1,tf-local) - - -submit-pytorch32: - $(call submit_pytorch,8,$(PROCESSES_PER_NODE),pytorch-32) - -submit-pytorch16: - $(call submit_pytorch,4,$(PROCESSES_PER_NODE),pytorch-16) - -submit-pytorch8: - $(call submit_pytorch,2,$(PROCESSES_PER_NODE),pytorch-8) - -submit-pytorch4: - $(call submit_pytorch,1,$(PROCESSES_PER_NODE),pytorch-4) - -submit-pytorch-local: - $(call submit_pytorch_local,1,pytorch-local) - - -submit-cntk32: - $(call submit_cntk,8,$(PROCESSES_PER_NODE),cntk-32) - -submit-cntk16: - $(call submit_cntk,4,$(PROCESSES_PER_NODE),cntk-16) - -submit-cntk8: - $(call submit_cntk,2,$(PROCESSES_PER_NODE),cntk-8) - -submit-cntk4: - $(call submit_cntk,1,$(PROCESSES_PER_NODE),cntk-4) - -submit-cntk-local: - $(call submit_cntk_local,1,cntk-local) - - -submit-pytorch_gloo32: - $(call submit_pytorch_gloo,8,$(PROCESSES_PER_NODE),pytorch_gloo-32) - -submit-pytorch_gloo16: - $(call submit_pytorch_gloo,4,$(PROCESSES_PER_NODE),pytorch_gloo-16) - -submit-pytorch_gloo8: - $(call submit_pytorch_gloo,2,$(PROCESSES_PER_NODE),pytorch_gloo-8) - -submit-pytorch_gloo4: - $(call submit_pytorch_gloo,1,$(PROCESSES_PER_NODE),pytorch_gloo-4) diff --git a/hooks/post_gen_project.py b/hooks/post_gen_project.py new file mode 100644 index 0000000..0cd5a3c --- /dev/null +++ b/hooks/post_gen_project.py @@ -0,0 +1,29 @@ +import shutil + + +def _copy_directories(src, dst): + try: + shutil.copytree(src, dst, ignore=shutil.ignore_patterns(".git")) + except PermissionError: + print(f"Could not copy files from {src} to {dst}, permission error") + + +def _remove_directories(*directories): + for folder in directories: + shutil.rmtree(folder) + + +def _copy_env_file(): + shutil.move("_dotenv_template", ".env") + + +_CHOICES_DICT = { + "template": ("TensorFlow_benchmark", "TensorFlow_imagenet"), + "benchmark": ("TensorFlow_experiment", "TensorFlow_imagenet"), + "imagenet": ("TensorFlow_benchmark", "TensorFlow_experiment") +} + +if __name__ == "__main__": + _copy_env_file() + if {{cookiecutter._remove_unused_projects}}: + _remove_directories(_CHOICES_DICT.get({{cookiecutter.type}}, tuple())) diff --git a/hooks/pre_gen_project.py b/hooks/pre_gen_project.py new file mode 100644 index 0000000..87d05a6 --- /dev/null +++ b/hooks/pre_gen_project.py @@ -0,0 +1,23 @@ +import os +import shutil + + +def _remove_directory(dirpath): + if os.path.exists(dirpath): + try: + print(f"Deleting directory {dirpath}") + shutil.rmtree(dirpath) + except PermissionError: + print( + f"The directory contains files that can't be removed please delete {dirpath} and run again" + ) + + +_remove_directory("{{cookiecutter.experiment_name}}") +print( + """ +Generating project {{cookiecutter.project_name}} +""" +) + + diff --git a/images/architecture1.png b/images/architecture1.png new file mode 100644 index 0000000..042ca1d Binary files /dev/null and b/images/architecture1.png differ diff --git a/images/demo.svg b/images/demo.svg new file mode 100644 index 0000000..7dd394a --- /dev/null +++ b/images/demo.svg @@ -0,0 +1 @@ +mat@mspony1:~/repos$mat@mspony1:~/repos$cookiecutterAMLDistCCproject_title[TemplateforDistributedDeepLearningusingAzureMachineLearning]:project_name[aml_dist]:resource_group[amldistrg]:workspace[workspace]:sub_id[]:Selectvm_size:1-Standard_NC24r2-Standard_NC24rs_v23-Standard_NC24rs_v34-Standard_ND24rsChoosefrom1,2,3,4(1,2,3,4)[1]:3minimum_number_nodes[2]:6maximum_number_nodes[2]:8cluster_name[gpucluster]:Selectdl_framework:1-PyTorch1.02-TensorFlow1.12Choosefrom1,2(1,2)[1]:Choosefrom1,2(1,2)[1]:1dockerhub[dockerhub]:masalvarSelectdemo:1-no2-syntheticChoosefrom1,2(1,2)[1]:2Selectregion:1-eastus2-southcentralusexperiment_name[experiment]:Generatingprojectaml_distChosenDeepLearningFrameworkPyTorch1.0CreatingPyTorchbenchmarkprojectaml_distmat@mspony1:~/repos$cdmat@mspony1:~/repos$cdaml_dist/mat@mspony1:~/repos/aml_dist$mat@mspony1:~/repos/aml_dist$lscontrolexperimentMakefilemat@mspony1:~/repos$cookiecumat@mspony1:~/repos$cookiecutterAMmat@mspony1:~/repos$cookiecutterAMLmat@mspony1:~/repos$cookiecutterAMLDiChoosefrom1,2,3,4(1,2,3,4)[1]:minimum_number_nodes[2]:maximum_number_nodes[2]:dockerhub[dockerhub]:dockerhub[dockerhub]:mdockerhub[dockerhub]:madockerhub[dockerhub]:masdockerhub[dockerhub]:masadockerhub[dockerhub]:masaldockerhub[dockerhub]:masalvdockerhub[dockerhub]:masalvamat@mspony1:~/repos$cmat@mspony1:~/repos$cdamat@mspony1:~/repos$cdammat@mspony1:~/repos$cdamlmat@mspony1:~/repos/aml_dist$l \ No newline at end of file diff --git a/include/build.mk b/include/build.mk deleted file mode 100644 index 2ac5e9f..0000000 --- a/include/build.mk +++ /dev/null @@ -1,108 +0,0 @@ -define PROJECT_HELP_MSG -Usage: - make help show this message - make build make Horovod TF image with Open MPI - make build-intel make Horovod TF image with Intel MPI - make run-mpi run training using Open MPI image - make run-mpi-intel run training using Intel MPI image - make run run training in non-distributed mode - make push push Horovod TF image with Open MPI - make push-intel push Horovod TF image with Intel MPI -endef -export PROJECT_HELP_MSG - -DATA_DIR:=/mnt/imagenet -#DATA_DIR:=/mnt/rmdsk -PWD:=$(shell pwd) -FAKE:='False' -FAKE_DATA_LENGTH:=1281167 -ROOT:=$(shell dirname ${PWD}) - - -setup_volumes:=-v $(PWD)/src:/mnt/script \ - -v $(DATA_DIR):/mnt/input \ - -v $(DATA_DIR)/temp/model:/mnt/model \ - -v $(DATA_DIR)/temp/output:/mnt/output \ - -v $(ROOT)/common:/mnt/common - - -setup_environment:=--env AZ_BATCHAI_INPUT_TRAIN='/mnt/input' \ - --env AZ_BATCHAI_INPUT_TEST='/mnt/input' \ - --env AZ_BATCHAI_OUTPUT_MODEL='/mnt/model' \ - --env AZ_BATCHAI_JOB_TEMP_DIR='/mnt/output' \ - --env AZ_BATCHAI_INPUT_SCRIPTS='/mnt/script' \ - --env PYTHONPATH=/mnt/common/:$$PYTHONPATH - - -define execute_mpi - nvidia-docker run -it \ - --shm-size="8g" \ - $(setup_volumes) \ - $(setup_environment) \ - --env DISTRIBUTED='True' \ - --env FAKE=$(FAKE) \ - --env FAKE_DATA_LENGTH=$(FAKE_DATA_LENGTH) \ - --privileged \ - $(1) bash -c "mpirun -np 2 -H localhost:2 python $(2)" -endef - -define execute_mpi_intel - nvidia-docker run -it \ - --shm-size="8g" \ - $(setup_volumes) \ - $(setup_environment) \ - --env DISTRIBUTED='True' \ - --env FAKE=$(FAKE) \ - --env FAKE_DATA_LENGTH=$(FAKE_DATA_LENGTH) \ - --privileged \ - $(1) bash -c " source /opt/intel/compilers_and_libraries_2017.4.196/linux/mpi/intel64/bin/mpivars.sh; mpirun -n 2 -host localhost -ppn 2 -env I_MPI_DAPL_PROVIDER=ofa-v2-ib0 -env I_MPI_DYNAMIC_CONNECTION=0 python $(2)" -endef - -define execute - nvidia-docker run -it \ - --shm-size="8g" \ - $(setup_volumes) \ - $(setup_environment) \ - --env DISTRIBUTED='False' \ - --env FAKE=$(FAKE) \ - --env FAKE_DATA_LENGTH=$(FAKE_DATA_LENGTH) \ - $(1) bash -c "python $(2)" -endef - -define execute_jupyter - nvidia-docker run -p 8888:8888 -it \ - --shm-size="8g" \ - $(setup_volumes) \ - $(setup_environment) \ - $(1) bash -c "jupyter notebook --ip=* --no-browser --allow-root" -endef - -help: - echo "$$PROJECT_HELP_MSG" | less - -build: - docker build -t $(image-open) $(open-path) - -build-intel: - docker build -t $(image-intel) $(intel-path) - -run-mpi: - $(call execute_mpi, $(image-open), $(script)) - -run-mpi-intel: - $(call execute_mpi_intel, $(image-intel), $(script)) - -run: - $(call execute, $(image-open), $(script)) - -run-jupyter: - $(call execute_jupyter, $(image-open)) - -push: - docker push $(image-open) - -push-intel: - docker push $(image-intel) - - -.PHONY: help build push diff --git a/include/control.mk b/include/control.mk deleted file mode 100644 index 0d78883..0000000 --- a/include/control.mk +++ /dev/null @@ -1,341 +0,0 @@ -define PROJECT_HELP_MSG -Usage: - make help show this message - make build build docker image - make push push container - make run run benchmarking container - make setup setup the cluster - make show-cluster - make list-clusters - make run-bait-intel run batch ai benchamrk using intel mpi - make run-bait-openmpi run batch ai benchmark using open mpi - make run-bait-local run batch ai benchmark on one node - make list-jobs - make list-files - make stream-stdout - make stream-stderr - make delete-job - make delete-cluster - make delete delete everything including experiments, workspace and resource group -endef -export PROJECT_HELP_MSG - - -define generate_job_intel - python ../generate_job_spec.py $(1) intelmpi \ - $(2) \ - --filename job.json \ - --node_count $(3) \ - --ppn $(4) \ - $(5) -endef - - -define generate_job_openmpi - python ../generate_job_spec.py $(1) openmpi \ - $(2) \ - --filename job.json \ - --node_count $(3) \ - --ppn $(4) \ - $(5) -endef - - -define generate_job_local - python ../generate_job_spec.py $(1) local \ - $(2) \ - --filename job.json \ - --node_count 1 \ - --ppn $(3) \ - $(4) -endef - - -define generate_job_gloo - python ../generate_job_spec.py $(1) openmpi \ - $(2) \ - --filename job.json \ - --node_count $(3) \ - --ppn $(4) \ - $(5) \ - --framework gloo -endef - - -define generate_job_cntk - python ../generate_job_spec.py $(1) openmpi \ - $(2) \ - --filename job.json \ - --node_count $(3) \ - --ppn $(4) \ - $(5) \ - --framework cntk -endef - - -define stream_stdout - az batchai job file stream -w $(WORKSPACE) -e $(EXPERIMENT) \ - --j $(1) --output-directory-id stdouterr -f stdout.txt -endef - - -define submit_job - az batchai job create -n $(1) --cluster ${CLUSTER_NAME} -w $(WORKSPACE) -e $(EXPERIMENT) -f job.json -endef - -define delete_job - az batchai job delete -w $(WORKSPACE) -e $(EXPERIMENT) --name $(1) -y -endef - -define upload_script - az storage file upload --share-name ${FILE_SHARE_NAME} --source $(1) --path scripts --account-name $(azure_storage_account) --account-key $(azure_storage_key) -endef - -select-subscription: - az login -o table - az account set --subscription $(SELECTED_SUBSCRIPTION) - -create-resource-group: - az group create -n $(GROUP_NAME) -l $(LOCATION) -o table - -create-storage: - @echo "Creating storage account" - az storage account create -l $(LOCATION) -n $(STORAGE_ACCOUNT_NAME) -g $(GROUP_NAME) --sku Standard_LRS - -set-storage: - $(eval azure_storage_key:=$(shell az storage account keys list -n $(STORAGE_ACCOUNT_NAME) -g $(GROUP_NAME) | jq '.[0]["value"]')) - $(eval azure_storage_account:= $(STORAGE_ACCOUNT_NAME)) - $(eval file_share_name:= $(FILE_SHARE_NAME)) - -set-az-defaults: - az configure --defaults location=${LOCATION} - az configure --defaults group=${GROUP_NAME} - -create-fileshare: set-storage - @echo "Creating fileshare" - az storage share create -n $(file_share_name) --account-name $(azure_storage_account) --account-key $(azure_storage_key) - -create-directory: set-storage - az storage directory create --share-name $(file_share_name) --name scripts --account-name $(azure_storage_account) --account-key $(azure_storage_key) - -create-nfs: - az batchai file-server create -n $(NFS_NAME) -w ${WORKSPACE} --disk-count 4 --disk-size 250 -s Standard_DS4_v2 -u mat -p d13NHAL! -g ${GROUP_NAME} --storage-sku Premium_LRS - -list-nfs: - az batchai file-server list -o table -w ${WORKSPACE} -g ${GROUP_NAME} - -create-container: set-storage - az storage container create --account-name $(azure_storage_account) --account-key $(azure_storage_key) --name ${CONTAINER_NAME} - -upload-scripts: set-storage - $(call upload_script, ../../HorovodKeras/src/data_generator.py) - $(call upload_script, ../../HorovodKeras/src/imagenet_keras_horovod.py) - $(call upload_script, ../../HorovodTF/src/imagenet_estimator_tf_horovod.py) - $(call upload_script, ../../HorovodTF/src/resnet_model.py) - $(call upload_script, ../../HorovodPytorch/src/imagenet_pytorch_horovod.py) - $(call upload_script, ../../CNTK/src/imagenet_cntk.py) - $(call upload_script, ../../CNTK/src/resnet_models.py) - $(call upload_script, ../../Pytorch/src/imagenet_pytorch_gloo.py) - $(call upload_script, ../../common/timer.py) - -upload-nodeprep-scripts: set-storage - $(call upload_script, ../../cluster_config/docker.service) - $(call upload_script, ../../cluster_config/nodeprep.sh) - -create-workspace: - az batchai workspace create -n $(WORKSPACE) -g $(GROUP_NAME) - -create-experiment: - az batchai experiment create -n $(EXPERIMENT) -g $(GROUP_NAME) -w $(WORKSPACE) - -show-cluster: - az batchai cluster show -n ${CLUSTER_NAME} -w $(WORKSPACE) - -list-clusters: - az batchai cluster list -w $(WORKSPACE) -o table - -list-nodes: - az batchai cluster node list -c ${CLUSTER_NAME} -w $(WORKSPACE) - -list-jobs: - az batchai job list -w $(WORKSPACE) -e $(EXPERIMENT) -o table - -list-files: - az batchai job file list -w $(WORKSPACE) -e $(EXPERIMENT) --j ${JOB_NAME} --output-directory-id stdouterr - -stream-stdout: - $(call stream_stdout, ${JOB_NAME}) - -stream-stderr: - az batchai job file stream -w $(WORKSPACE) -e $(EXPERIMENT) --j ${JOB_NAME} --output-directory-id stdouterr -f stderr.txt - -delete-job: - $(call delete_job, ${JOB_NAME}) - -delete-cluster: - az configure --defaults group='' - az configure --defaults location='' - az batchai cluster delete -w $(WORKSPACE) --name ${CLUSTER_NAME} -g ${GROUP_NAME} -y - -delete: delete-cluster - az batchai experiment delete -w $(WORKSPACE) --name ${experiment} -g ${GROUP_NAME} -y - az batchai workspace delete -w ${WORKSPACE} -g ${GROUP_NAME} -y - az group delete --name ${GROUP_NAME} -y - - -setup: select-subscription create-resource-group create-workspace create-storage set-storage set-az-defaults create-fileshare create-directory upload-scripts create-cluster list-clusters create-experiment - @echo "Cluster created" - -# -####### Submit Jobs ###### -# -submit-all: submit-keras-intel32 submit-keras-intel16 submit-keras-intel8 submit-keras-intel4 \ -submit-tf-intel32 submit-tf-intel16 submit-tf-intel8 submit-tf-intel4 \ -submit-pytorch32 submit-pytorch16 submit-pytorch8 submit-pytorch4 \ -submit-pytorch_gloo32 submit-pytorch_gloo16 submit-pytorch_gloo8 submit-pytorch_gloo4 \ -submit-cntk32 submit-cntk16 submit-cntk8 submit-cntk4 \ -submit-keras-local submit-tf-local submit-pytorch-local submit_cntk_local - -clean-jobs: - $(call delete_job, tf-local) - $(call delete_job, tf-intel-4) - $(call delete_job, tf-intel-8) - $(call delete_job, tf-intel-16) - $(call delete_job, tf-intel-32) - - $(call delete_job, keras-local) - $(call delete_job, keras-intel-4) - $(call delete_job, keras-intel-8) - $(call delete_job, keras-intel-16) - $(call delete_job, keras-intel-32) - - $(call delete_job, pytorch-local) - $(call delete_job, pytorch-4) - $(call delete_job, pytorch-8) - $(call delete_job, pytorch-16) - $(call delete_job, pytorch-32) - - $(call delete_job, pytorch_gloo-4) - $(call delete_job, pytorch_gloo-8) - $(call delete_job, pytorch_gloo-16) - $(call delete_job, pytorch_gloo-32) - - $(call delete_job, cntk-local) - $(call delete_job, cntk-4) - $(call delete_job, cntk-8) - $(call delete_job, cntk-16) - $(call delete_job, cntk-32) - -####### Gather Results ###### -# TODO for PyTorch_Gloo - -gather-results:results.json - @echo "All results gathered" - -results.json: pytorch_1gpulocal_$(GPU_TYPE)_local.results pytorch_4gpuopen_$(GPU_TYPE)_open.results \ - pytorch_8gpuopen_$(GPU_TYPE)_open.results pytorch_16gpuopen_$(GPU_TYPE)_open.results \ - pytorch_32gpuopen_$(GPU_TYPE)_open.results \ - pytorch_gloo_1gpulocal_$(GPU_TYPE)_local.results pytorch_gloo_4gpuopen_$(GPU_TYPE)_open.results \ - pytorch_gloo_8gpuopen_$(GPU_TYPE)_open.results pytorch_gloo_16gpuopen_$(GPU_TYPE)_open.results \ - pytorch_gloo_32gpuopen_$(GPU_TYPE)_open.results \ - tf_1gpulocal_$(GPU_TYPE)_local.results tf_4gpuintel_$(GPU_TYPE)_intel.results \ - tf_8gpuintel_$(GPU_TYPE)_intel.results tf_16gpuintel_$(GPU_TYPE)_intel.results \ - tf_32gpuintel_$(GPU_TYPE)_intel.results \ - keras_1gpulocal_$(GPU_TYPE)_local.results keras_4gpuintel_$(GPU_TYPE)_intel.results \ - keras_8gpuintel_$(GPU_TYPE)_intel.results keras_16gpuintel_$(GPU_TYPE)_intel.results \ - keras_32gpuintel_$(GPU_TYPE)_intel.results \ - cntk_1gpulocal_$(GPU_TYPE)_local.results cntk_4gpuintel_$(GPU_TYPE)_intel.results \ - cntk_8gpuintel_$(GPU_TYPE)_intel.results cntk_16gpuintel_$(GPU_TYPE)_intel.results \ - cntk_32gpuintel_$(GPU_TYPE)_intel.results - python ../parse_results.py - - -pytorch_1gpulocal_$(GPU_TYPE)_local.results: - $(call stream_stdout, pytorch-local)>pytorch_1gpulocal_$(GPU_TYPE)_local.results - -pytorch_4gpuopen_$(GPU_TYPE)_open.results: - $(call stream_stdout, pytorch-4)>pytorch_4gpuopen_$(GPU_TYPE)_open.results - -pytorch_8gpuopen_$(GPU_TYPE)_open.results: - $(call stream_stdout, pytorch-8)>pytorch_8gpuopen_$(GPU_TYPE)_open.results - -pytorch_16gpuopen_$(GPU_TYPE)_open.results: - $(call stream_stdout, pytorch-16)>pytorch_16gpuopen_$(GPU_TYPE)_open.results - -pytorch_32gpuopen_$(GPU_TYPE)_open.results: - $(call stream_stdout, pytorch-32)>pytorch_32gpuopen_$(GPU_TYPE)_open.results - - -pytorch_gloo_1gpulocal_$(GPU_TYPE)_local.results: - $(call stream_stdout, pytorch_gloo-local)>pytorch_gloo_1gpulocal_$(GPU_TYPE)_local.results - -pytorch_gloo_4gpuopen_$(GPU_TYPE)_open.results: - $(call stream_stdout, pytorch_gloo-4)>pytorch_gloo_4gpuopen_$(GPU_TYPE)_open.results - -pytorch_gloo_8gpuopen_$(GPU_TYPE)_open.results: - $(call stream_stdout, pytorch_gloo-8)>pytorch_gloo_8gpuopen_$(GPU_TYPE)_open.results - -pytorch_gloo_16gpuopen_$(GPU_TYPE)_open.results: - $(call stream_stdout, pytorch_gloo-16)>pytorch_gloo_16gpuopen_$(GPU_TYPE)_open.results - -pytorch_gloo_32gpuopen_$(GPU_TYPE)_open.results: - $(call stream_stdout, pytorch_gloo-32)>pytorch_gloo_32gpuopen_$(GPU_TYPE)_open.results - -tf_1gpulocal_$(GPU_TYPE)_local.results: - $(call stream_stdout, tf-local)>tf_1gpulocal_$(GPU_TYPE)_local.results - -tf_4gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, tf-intel-4)>tf_4gpuintel_$(GPU_TYPE)_intel.results - -tf_8gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, tf-intel-8)>tf_8gpuintel_$(GPU_TYPE)_intel.results - -tf_16gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, tf-intel-16)>tf_16gpuintel_$(GPU_TYPE)_intel.results - -tf_32gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, tf-intel-32)>tf_32gpuintel_$(GPU_TYPE)_intel.results - - - -keras_1gpulocal_$(GPU_TYPE)_local.results: - $(call stream_stdout, keras-local)>keras_1gpulocal_$(GPU_TYPE)_local.results - -keras_4gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, keras-intel-4)>keras_4gpuintel_$(GPU_TYPE)_intel.results - -keras_8gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, keras-intel-8)>keras_8gpuintel_$(GPU_TYPE)_intel.results - -keras_16gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, keras-intel-16)>keras_16gpuintel_$(GPU_TYPE)_intel.results - -keras_32gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, keras-intel-32)>keras_32gpuintel_$(GPU_TYPE)_intel.results - - - -cntk_1gpulocal_$(GPU_TYPE)_local.results: - $(call stream_stdout, cntk-local)>cntk_1gpulocal_$(GPU_TYPE)_local.results - -cntk_4gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, cntk-intel-4)>cntk_4gpuintel_$(GPU_TYPE)_intel.results - -cntk_8gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, cntk-intel-8)>cntk_8gpuintel_$(GPU_TYPE)_intel.results - -cntk_16gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, cntk-intel-16)>cntk_16gpuintel_$(GPU_TYPE)_intel.results - -cntk_32gpuintel_$(GPU_TYPE)_intel.results: - $(call stream_stdout, cntk-intel-32)>cntk_32gpuintel_$(GPU_TYPE)_intel.results - - -clean-results: - rm results.json - rm *.results - -make plot: results.json - python ../produce_plot.py - -.PHONY: help build push diff --git a/{{cookiecutter.project_name}}/.azureml/azml_config.json b/{{cookiecutter.project_name}}/.azureml/azml_config.json new file mode 100644 index 0000000..12860f1 --- /dev/null +++ b/{{cookiecutter.project_name}}/.azureml/azml_config.json @@ -0,0 +1 @@ +{"Id": null, "Scope": "/subscriptions/edf507a2-6235-46c5-b560-fd463ba2e771/resourceGroups/amldistrg/providers/Microsoft.MachineLearningServices/workspaces/workspace"} \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/Makefile b/{{cookiecutter.project_name}}/Makefile new file mode 100644 index 0000000..19a5cb8 --- /dev/null +++ b/{{cookiecutter.project_name}}/Makefile @@ -0,0 +1,55 @@ +define PROJECT_HELP_MSG +Makefile to control project aml_dist +Usage: + help show this message + build build docker image to use as control plane + bash run bash inside runnin docker container + stop stop running docker container +endef +export PROJECT_HELP_MSG +PWD:=$(shell pwd) +PORT:=9999 +TBOARD_PORT:=6006 +NAME:=aml_dist # Name of running container + +setup_environment_file:=--env-file .env +include .env + +local_code_volume:=-v $(PWD):/workspace +volumes:=-v /tmp/azureml_runs:/tmp/azureml_runs \ + -v $(DATA):/data \ + -v ${HOME}/.bash_history:/root/.bash_history + + +help: + echo "$$PROJECT_HELP_MSG" | less + +build: + docker build -t $(IMAGE_NAME) -f control/Docker/dockerfile control/Docker + +/tmp/azureml_runs: + mkdir -p /tmp/azureml_runs + +run: /tmp/azureml_runs + # Start docker running as daemon + docker run $(local_code_volume) $(volumes) $(setup_environment_file) \ + --name $(NAME) \ + -p $(PORT):$(PORT) \ + -p $(TBOARD_PORT):$(TBOARD_PORT) \ + -d \ + -v /var/run/docker.sock:/var/run/docker.sock \ + -e HIST_FILE=/root/.bash_history \ + -it $(IMAGE_NAME) + + # Attach to running container and create new tmux session + docker exec -it $(NAME) bash -c "tmux new -s dist -n control" + + +bash: + docker exec -it $(NAME) bash -c "tmux a -t dist" + +stop: + docker stop $(NAME) + docker rm $(NAME) + +.PHONY: help build run bash stop \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_benchmark/environment_cpu.yml b/{{cookiecutter.project_name}}/TensorFlow_benchmark/environment_cpu.yml new file mode 100644 index 0000000..b3ce862 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_benchmark/environment_cpu.yml @@ -0,0 +1,14 @@ +name: project_environment +dependencies: + # The python interpreter version. + # Currently Azure ML only supports 3.5.2 and later. +- python=3.6.2 +- pandas +- numpy +- pip: + # Required packages for AzureML execution, history, and data preparation. + - azureml-defaults + - tensorflow==1.12.0 + - horovod==0.15.2 + - fire + - toolz \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_benchmark/environment_gpu.yml b/{{cookiecutter.project_name}}/TensorFlow_benchmark/environment_gpu.yml new file mode 100644 index 0000000..a844702 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_benchmark/environment_gpu.yml @@ -0,0 +1,14 @@ +name: project_environment +dependencies: + # The python interpreter version. + # Currently Azure ML only supports 3.5.2 and later. +- python=3.6.2 +- pandas +- numpy +- pip: + # Required packages for AzureML execution, history, and data preparation. + - azureml-defaults + - tensorflow-gpu==1.12.0 + - horovod==0.15.2 + - fire + - toolz \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_benchmark/tensorflow_benchmark.py b/{{cookiecutter.project_name}}/TensorFlow_benchmark/tensorflow_benchmark.py new file mode 100644 index 0000000..090dc58 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_benchmark/tensorflow_benchmark.py @@ -0,0 +1,91 @@ +from invoke import task, Collection +import os +from config import load_config + + +_BASE_PATH = os.path.dirname(os.path.abspath(__file__)) +env_values = load_config() + + +def _benchmark_code_exists(): + dir_path = os.path.dirname(os.path.realpath(__file__)) + return os.path.exists(os.path.join(dir_path, "src", "tf_cnn_benchmarks.py")) + + +@task +def clone_benchmarks(c): + """Clones the Tensorflow benchmarks from https://github.com/tensorflow/benchmarks.git into the src folder + """ + if _benchmark_code_exists(): + return None + c.run( + "git clone -b cnn_tf_v1.12_compatible https://github.com/tensorflow/benchmarks.git" + ) + dir_path = os.path.dirname(os.path.realpath(__file__)) + c.run( + f"cp -r benchmarks/scripts/tf_cnn_benchmarks/* {os.path.join(dir_path, 'src')}" + ) + c.run("rm -r benchmarks") + + +@task(pre=[clone_benchmarks]) +def submit_tf_benchmark(c, node_count=int(env_values["CLUSTER_MAX_NODES"])): + """Submits TensorFlow benchmark job using synthetic data on remote cluster + + Args: + node_count (int, optional): The number of nodes to use in cluster. Defaults to env_values['CLUSTER_MAX_NODES']. + + Note: + Runs ResNet 50 model with batch size of 256 and mixed precision + """ + from aml_compute import TFExperimentCLI + + exp = TFExperimentCLI("tf_benchmark") + run = exp.submit( + os.path.join(_BASE_PATH, "src"), + "tf_cnn_benchmarks.py", + { + "--model": "resnet50", + "--batch_size": 256, + "--variable_update": "horovod", + "--use_fp16": "", + }, + node_count=node_count, + dependencies_file="TensorFlow_benchmark/environment_gpu.yml", + wait_for_completion=True, + ) + print(run) + + +@task(pre=[clone_benchmarks]) +def submit_tf_benchmark_local(c): + """Submits TensorFlow benchmark job using synthetic data for local execution + + Note: + Runs ResNet 50 model with batch size of 256 and mixed precision + """ + from aml_compute import TFExperimentCLI + + exp = TFExperimentCLI("tf_benchmark") + run = exp.submit_local( + os.path.join(_BASE_PATH, "src"), + "tf_cnn_benchmarks.py", + { + "--model": "resnet50", + "--batch_size": 256, + "--variable_update": "horovod", + "--use_fp16": "", + }, + dependencies_file="TensorFlow_benchmark/environment_gpu.yml", + wait_for_completion=True, + ) + print(run) + + +remote_collection = Collection("remote") +remote_collection.add_task(submit_tf_benchmark, "synthetic") +local_collection = Collection("local") +local_collection.add_task(submit_tf_benchmark_local, "synthetic") +submit_collection = Collection("submit", local_collection, remote_collection) +namespace = Collection("tf_benchmark", submit_collection) + diff --git a/{{cookiecutter.project_name}}/TensorFlow_experiment/environment_cpu.yml b/{{cookiecutter.project_name}}/TensorFlow_experiment/environment_cpu.yml new file mode 100644 index 0000000..b3ce862 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_experiment/environment_cpu.yml @@ -0,0 +1,14 @@ +name: project_environment +dependencies: + # The python interpreter version. + # Currently Azure ML only supports 3.5.2 and later. +- python=3.6.2 +- pandas +- numpy +- pip: + # Required packages for AzureML execution, history, and data preparation. + - azureml-defaults + - tensorflow==1.12.0 + - horovod==0.15.2 + - fire + - toolz \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_experiment/environment_gpu.yml b/{{cookiecutter.project_name}}/TensorFlow_experiment/environment_gpu.yml new file mode 100644 index 0000000..a844702 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_experiment/environment_gpu.yml @@ -0,0 +1,14 @@ +name: project_environment +dependencies: + # The python interpreter version. + # Currently Azure ML only supports 3.5.2 and later. +- python=3.6.2 +- pandas +- numpy +- pip: + # Required packages for AzureML execution, history, and data preparation. + - azureml-defaults + - tensorflow-gpu==1.12.0 + - horovod==0.15.2 + - fire + - toolz \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_experiment/src/.amlignore b/{{cookiecutter.project_name}}/TensorFlow_experiment/src/.amlignore new file mode 100644 index 0000000..616345c --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_experiment/src/.amlignore @@ -0,0 +1,7 @@ +.ipynb_checkpoints +azureml-logs +.azureml +.git +outputs +azureml-setup +docs diff --git a/{{cookiecutter.project_name}}/TensorFlow_experiment/src/logging.conf b/{{cookiecutter.project_name}}/TensorFlow_experiment/src/logging.conf new file mode 100644 index 0000000..b0091fc --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_experiment/src/logging.conf @@ -0,0 +1,33 @@ +[loggers] +keys=root,__main__,tensorflow + +[handlers] +keys=consoleHandler + +[formatters] +keys=simpleFormatter + +[logger_root] +level=WARNING +handlers=consoleHandler + +[logger___main__] +level=INFO +handlers=consoleHandler +qualname=__main__ +propagate=0 + +[logger_tensorflow] +level=INFO +handlers=consoleHandler +qualname=tensorflow +propagate=0 + +[handler_consoleHandler] +class=StreamHandler +level=INFO +formatter=simpleFormatter +args=(sys.stdout,) + +[formatter_simpleFormatter] +format=%(asctime)s - %(name)s - %(levelname)s - %(message)s \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_experiment/src/train_model.py b/{{cookiecutter.project_name}}/TensorFlow_experiment/src/train_model.py new file mode 100644 index 0000000..bde902f --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_experiment/src/train_model.py @@ -0,0 +1,152 @@ +"""Script to train model using TensorFlow and Horovod + +Please complete the necessary functions and assign values to the required variables + + +For instructions on using TensorFLow see: https://www.tensorflow.org/ +For instructions on using Horovod see: https://github.com/horovod/horovod + +""" +import logging.config +import fire +import os +import tensorflow as tf + +DISTRIBUTED = False +LR = 0.001 +MOMENTUM = 0.9 +NUM_CLASSES = #Number of classes for your dataset + +if DISTRIBUTED: + import horovod.tensorflow as hvd + + +def _get_rank(): + if DISTRIBUTED: + try: + return hvd.rank() + except: + return 0 + else: + return 0 + + +def _get_optimizer(params, is_distributed=DISTRIBUTED): + if is_distributed: + # Horovod: add Horovod Distributed Optimizer. + return hvd.DistributedOptimizer( + tf.train.MomentumOptimizer( + learning_rate=params["learning_rate"] * hvd.size(), + momentum=params["momentum"], + ) + ) + else: + return tf.train.MomentumOptimizer( + learning_rate=params["learning_rate"], momentum=params["momentum"] + ) + + +def build_network(features, mode, params): + """ Build Model + + Args: + features: + mode: + params: + + Returns: + Model function + + """ + return None + + +def model_fn(features, labels, mode, params): + """Model function that returns the estimator spec + + Args: + features: This is the x-arg from the input_fn. + labels: This is the y-arg from the input_fn, + see e.g. train_input_fn for these two. + mode: Either TRAIN, EVAL, or PREDICT + params: User-defined hyper-parameters, e.g. learning-rate. + Returns: + tf.estimator.EstimatorSpec: Estimator specification + """ + return None + + +def input_fn(): + """Input function which provides batches for train or eval. + + Returns: + A dataset that can be used for iteration. + """ + return None + + +def _get_runconfig(is_distributed=DISTRIBUTED, save_checkpoints_steps=None): + if is_distributed: + # Horovod: pin GPU to be used to process local rank (one GPU per process) + config = tf.ConfigProto() + config.gpu_options.allow_growth = True + config.gpu_options.visible_device_list = str(hvd.local_rank()) + + return tf.estimator.RunConfig( + save_checkpoints_steps=save_checkpoints_steps, + save_checkpoints_secs=None, + session_config=config, + log_step_count_steps=100, + ) + else: + return tf.estimator.RunConfig( + save_checkpoints_steps=save_checkpoints_steps, + save_checkpoints_secs=None, + log_step_count_steps=100, + ) + + +def _get_hooks(is_distributed=DISTRIBUTED): + logger = logging.getLogger(__name__) + if is_distributed: + bcast_hook = hvd.BroadcastGlobalVariablesHook(0) + logger.info("Rank: {} Cluster Size {}".format(hvd.local_rank(), hvd.size())) + return [bcast_hook] + else: + return [] + + +def main(): + """Train your model + """ + logger = logging.getLogger(__name__) + if DISTRIBUTED: + # Horovod: initialize Horovod. + hvd.init() + logger.info("Running Distributed") + logger.info("Num GPUs: {:.3f}".format(hvd.size())) + + input_function = input_fn + + run_config = _get_runconfig() + + params = { + "learning_rate": LR, + "momentum": MOMENTUM, + "classes": NUM_CLASSES, + } + logger.info("Creating estimator with params: {}".format(params)) + model = tf.estimator.Estimator( + model_fn=model_fn, params=params, config=run_config + ) + + hooks = _get_hooks() + + model.train(input_fn=input_function, hooks=hooks) + + model.evaluate(input_fn=input_function) + + +if __name__ == "__main__": + logging.config.fileConfig(os.getenv("LOG_CONFIG", "logging.conf")) + fire.Fire(main) diff --git a/{{cookiecutter.project_name}}/TensorFlow_experiment/tensorflow_experiment.py b/{{cookiecutter.project_name}}/TensorFlow_experiment/tensorflow_experiment.py new file mode 100644 index 0000000..5b89470 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_experiment/tensorflow_experiment.py @@ -0,0 +1,126 @@ +""" This is an example template that you can use to create functions that you can call with invoke +""" +from invoke import task, Collection +import os +from config import load_config + + +_BASE_PATH = os.path.dirname(os.path.abspath( __file__ )) +env_values = load_config() + + +@task +def submit_local(c): + """This command isn't implemented please modify to use. + + The call below will work for submitting jobs to execute locally on a GPU. + """ + raise NotImplementedError( + "You need to modify this call before being able to use it" + ) + from aml_compute import TFExperimentCLI + exp = TFExperimentCLI("") + run = exp.submit_local( + os.path.join(_BASE_PATH, "src"), + "", + {"YOUR": "ARGS"}, + dependencies_file="TensorFlow/environment_gpu.yml", + wait_for_completion=True, + ) + print(run) + + +@task +def submit_remote(c): + """This command isn't implemented please modify to use. + + The call below will work for submitting jobs to execute on a remote cluster using GPUs. + """ + raise NotImplementedError( + "You need to modify this call before being able to use it" + ) + from aml_compute import TFExperimentCLI + exp = TFExperimentCLI("") + run = exp.submit( + os.path.join(_BASE_PATH, "src"), + "", + {"YOUR": "ARGS"}, + node_count=4, + dependencies_file="TensorFlow/environment_gpu.yml", + wait_for_completion=True, + ) + print(run) + + +@task +def submit_images(c): + """This command isn't implemented please modify to use. + + The call below will work for submitting jobs to execute on a remote cluster using GPUs. + Notive that we are passing in a {datastore} parameter to the path. This tells the submit + method that we want the location as mapped by the datastore to be inserted here. Upon + execution the appropriate path will be preappended to the training_data_path and validation_data_path. + """ + raise NotImplementedError( + "You need to modify this call before being able to use it" + ) + from aml_compute import TFExperimentCLI + exp = TFExperimentCLI("") + run = exp.submit( + os.path.join(_BASE_PATH, "src"), + "", + { + "--training_data_path": "{datastore}/train", + "--validation_data_path": "{datastore}/validation", + "--epochs": "1", + "--data_type": "images", + "--data-format": "channels_first", + }, + node_count=4, + dependencies_file="TensorFlow/environment_gpu.yml", + wait_for_completion=True, + ) + print(run) + + +@task +def submit_images_local(c): + """This command isn't implemented please modify to use. + + The call below will work for submitting jobs to execute locally on a GPU. + Here we also map a volume to the docker container executing locally. This is the + location we tell our script to look for our training and validation data. Feel free to + adjust the other arguments as required by your trainining script. + """ + raise NotImplementedError( + "You need to modify this call before being able to use it" + ) + from aml_compute import TFExperimentCLI + exp = TFExperimentCLI("") + run = exp.submit_local( + os.path.join(_BASE_PATH, "src"), + "", + { + "--training_data_path": "/data/train", + "--validation_data_path": "/data/validation", + "--epochs": "1", + "--data_type": "images", + "--data-format": "channels_first", + }, + dependencies_file="TensorFlow_imagenet/environment_gpu.yml", + docker_args=["-v", f"{env_values['data']}:/data"], + wait_for_completion=True, + ) + print(run) + + +remote_collection = Collection("remote") +remote_collection.add_task(submit_images, "images") +remote_collection.add_task(submit_remote, "synthetic") + +local_collection = Collection("local") +local_collection.add_task(submit_images_local, "images") +local_collection.add_task(submit_local, "synthetic") + +submit_collection = Collection("submit", local_collection, remote_collection) +namespace = Collection("tf_experiment", submit_collection) diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/environment_cpu.yml b/{{cookiecutter.project_name}}/TensorFlow_imagenet/environment_cpu.yml new file mode 100644 index 0000000..b3ce862 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/environment_cpu.yml @@ -0,0 +1,14 @@ +name: project_environment +dependencies: + # The python interpreter version. + # Currently Azure ML only supports 3.5.2 and later. +- python=3.6.2 +- pandas +- numpy +- pip: + # Required packages for AzureML execution, history, and data preparation. + - azureml-defaults + - tensorflow==1.12.0 + - horovod==0.15.2 + - fire + - toolz \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/environment_gpu.yml b/{{cookiecutter.project_name}}/TensorFlow_imagenet/environment_gpu.yml new file mode 100644 index 0000000..a844702 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/environment_gpu.yml @@ -0,0 +1,14 @@ +name: project_environment +dependencies: + # The python interpreter version. + # Currently Azure ML only supports 3.5.2 and later. +- python=3.6.2 +- pandas +- numpy +- pip: + # Required packages for AzureML execution, history, and data preparation. + - azureml-defaults + - tensorflow-gpu==1.12.0 + - horovod==0.15.2 + - fire + - toolz \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/.amlignore b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/.amlignore new file mode 100644 index 0000000..616345c --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/.amlignore @@ -0,0 +1,7 @@ +.ipynb_checkpoints +azureml-logs +.azureml +.git +outputs +azureml-setup +docs diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/__init__.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/images.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/images.py new file mode 100644 index 0000000..0449eac --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/images.py @@ -0,0 +1,209 @@ +import json +import logging +from pathlib import Path + +import horovod.tensorflow as hvd +import tensorflow as tf +from toolz import pipe + +import defaults +import imagenet_preprocessing + +_NOUNID_LOOKUP_FILE = "imagenet_nounid_to_class.json" + + +def _create_nounid_lookup(nounid_lookup_file=_NOUNID_LOOKUP_FILE): + + with open(nounid_lookup_file, "r") as read_file: + nounid_lookup_dict = json.load(read_file) + + def _lookup(nounid): + return nounid_lookup_dict[nounid] + + return _lookup + + +def _load_data(data_dir): + filenames = [] + labels = [] + lookup = _create_nounid_lookup() + for path_obj in Path(data_dir).glob("**/*.JPEG"): + filenames.append(str(path_obj)) + labels.append(lookup(path_obj.parts[-2])) + return filenames, labels + + + +def _preprocess_labels(label): + return tf.cast(label, dtype=tf.int32) + + +def _preprocess_images(filename): + return pipe(filename, tf.read_file) + + +def _prep(filename, num_label): + return tf.data.Dataset.from_tensor_slices( + ([_preprocess_images(filename)], [_preprocess_labels(num_label)]) + ) + + +def parse_record( + image_buffer, + label, + is_training, + dtype, + data_format="channels_last", + image_size=defaults.DEFAULT_IMAGE_SIZE, + num_channels=defaults.NUM_CHANNELS, +): + """Parses a record containing a training example of an image. + The input record is parsed into a label and image, and the image is passed + through preprocessing steps (cropping, flipping, and so on). + + Args: + raw_record: scalar Tensor tf.string containing a serialized + Example protocol buffer. + is_training: A boolean denoting whether the input is for training. + dtype: data type to use for images/features. + data_format: the axis order of the matrix, channels_last NHWC or channels_first NCHW + + Returns: + Tuple with processed image tensor and one-hot-encoded label tensor. + """ + # image_buffer, label = raw_record + + image = imagenet_preprocessing.preprocess_image( + image_buffer=image_buffer, + output_height=image_size, + output_width=image_size, + num_channels=num_channels, + is_training=is_training, + data_format=data_format, + ) + image = tf.cast(image, dtype) + + return image, label + + +def process_image_dataset(dataset, + is_training, + batch_size, + shuffle_buffer, + parse_record_fn, + num_epochs=1, + dtype=tf.float32, + data_format="channels_last", + num_parallel_batches=1): + """Given a Dataset with raw records, return an iterator over the records. + + Args: + dataset: A Dataset representing raw records + is_training: A boolean denoting whether the input is for training. + batch_size: The number of samples per batch. + shuffle_buffer: The buffer size to use when shuffling records. A larger + value results in better randomness, but smaller values reduce startup + time and use less memory. + parse_record_fn: A function that takes a raw record and returns the + corresponding (image, label) pair. + num_epochs: The number of epochs to repeat the dataset. + dtype: Data type to use for images/features. + num_parallel_batches: Number of parallel batches for tf.data. + + Returns: + Dataset of (image, label) pairs ready for iteration. + """ + + # Prefetches a batch at a time to smooth out the time taken to load input + # files for shuffling and processing. + dataset = dataset.prefetch(buffer_size=batch_size) + if is_training: + # Shuffles records before repeating to respect epoch boundaries. + dataset = dataset.shuffle(buffer_size=shuffle_buffer) + + # Repeats the dataset for the number of epochs to train. + dataset = dataset.repeat(num_epochs) + + # Parses the raw records into images and labels. + dataset = dataset.apply( + tf.data.experimental.map_and_batch( + lambda image, label: parse_record_fn(image, label, is_training, dtype, data_format=data_format), + batch_size=batch_size, + num_parallel_batches=num_parallel_batches, + drop_remainder=False)) + + + dataset = dataset.prefetch(buffer_size=100) + + return dataset + + +def input_fn( + is_training, + data_dir, + batch_size, + num_epochs=1, + dtype=tf.float32, + num_parallel_batches=1, + parse_record_fn=parse_record, + data_format="channels_last", + distributed=False, + file_shuffle_buffer=1000, + data_shuffle_buffer=defaults.SHUFFLE_BUFFER, +): + """Input function which provides batches for train or eval. + + Args: + is_training: A boolean denoting whether the input is for training. + data_dir: The directory containing the input data. + batch_size: The number of samples per batch. + num_epochs: The number of epochs to repeat the dataset. + dtype: Data type to use for images/features + num_parallel_batches: Number of parallel batches for tf.data. + parse_record_fn: Function to use for parsing the records. + + Returns: + A dataset that can be used for iteration. + """ + logger = logging.getLogger(__name__) + logger.info(f"Reading data info from {data_dir}") + + buffer_length = 1024 + parallel_num = 5 + + filenames, labels = _load_data(data_dir) + logger.info(f"Found {len(filenames)} files") + dataset = tf.data.Dataset.from_tensor_slices((filenames, labels)) + + if is_training: + # Shuffle the input files + if distributed: + dataset = dataset.shard(hvd.size(), hvd.local_rank()) + + dataset = dataset.shuffle(buffer_size=file_shuffle_buffer) # _NUM_TRAIN_FILES + + # Convert to individual records. + # cycle_length = 10 means 10 files will be read and deserialized in parallel. + # This number is low enough to not cause too much contention on small systems + # but high enough to provide the benefits of parallelization. You may want + # to increase this number if you have a large number of CPU cores. + dataset = dataset.apply( + tf.data.experimental.parallel_interleave( + _prep, + cycle_length=parallel_num, + buffer_output_elements=buffer_length, + sloppy=True, + ) + ) + + return process_image_dataset( + dataset=dataset, + is_training=is_training, + batch_size=batch_size, + shuffle_buffer=data_shuffle_buffer, + parse_record_fn=parse_record_fn, + num_epochs=num_epochs, + dtype=dtype, + num_parallel_batches=num_parallel_batches, + data_format=data_format, + ) \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/synthetic.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/synthetic.py new file mode 100644 index 0000000..b0e86d7 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/synthetic.py @@ -0,0 +1,52 @@ +import tensorflow as tf + + +def get_synth_input_fn(height, width, num_channels, num_classes, dtype=tf.float32): + """Returns an input function that returns a dataset with random data. + This input_fn returns a data set that iterates over a set of random data and + bypasses all preprocessing, e.g. jpeg decode and copy. The host to device + copy is still included. This used to find the upper throughput bound when + tunning the full input pipeline. + + Args: + height: Integer height that will be used to create a fake image tensor. + width: Integer width that will be used to create a fake image tensor. + num_channels: Integer depth that will be used to create a fake image tensor. + num_classes: Number of classes that should be represented in the fake labels + tensor + dtype: Data type for features/images. + + Returns: + An input_fn that can be used in place of a real one to return a dataset + that can be used for iteration. + """ + + def input_fn( + is_training, data_dir, batch_size, *args, data_format="channels_last", **kwargs + ): + """Returns dataset filled with random data.""" + # Synthetic input should be within [0, 255]. + if data_format == "channels_last": + shape = [height, width, num_channels] + else: + shape = [num_channels, height, width] + inputs = tf.random.truncated_normal( + [batch_size] + shape, + dtype=dtype, + mean=127, + stddev=60, + name="synthetic_inputs", + ) + + labels = tf.random.uniform( + [batch_size], + minval=0, + maxval=num_classes - 1, + dtype=tf.int32, + name="synthetic_labels", + ) + data = tf.data.Dataset.from_tensors((inputs, labels)).repeat() + data = data.prefetch(buffer_size=1024) + return data + + return input_fn \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/tfrecords.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/tfrecords.py new file mode 100644 index 0000000..13971c4 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/data/tfrecords.py @@ -0,0 +1,218 @@ +import logging +import os + +import horovod.tensorflow as hvd +import tensorflow as tf + +import defaults +import imagenet_preprocessing + + +def get_filenames(is_training, data_dir, num_files=1014): + """Return filenames for dataset.""" + if is_training: + return [ + os.path.join(data_dir, "train-%05d-of-01014" % i) for i in range(num_files) + ] + else: + return [ + os.path.join(data_dir, "validation-%05d-of-00128" % i) for i in range(128) + ] + + +def _parse_example_proto(example_serialized): + """Parses an Example proto containing a training example of an image. + The output of the build_image_data.py image preprocessing script is a dataset + containing serialized Example protocol buffers. Each Example proto contains + the following fields (values are included as examples): + image/height: 462 + image/width: 581 + image/colorspace: 'RGB' + image/channels: 3 + image/class/label: 615 + image/class/text: 'knee pad' + image/format: 'JPEG' + image/filename: 'ILSVRC2012_val_00041207.JPEG' + image/encoded: + + Args: + example_serialized: scalar Tensor tf.string containing a serialized + Example protocol buffer. + + Returns: + image_buffer: Tensor tf.string containing the contents of a JPEG file. + label: Tensor tf.int32 containing the label. + """ + feature_map = { + "image/encoded": tf.io.FixedLenFeature([], dtype=tf.string, default_value=""), + "image/class/label": tf.io.FixedLenFeature( + [], dtype=tf.int64, default_value=-1 + ), + "image/class/text": tf.io.FixedLenFeature( + [], dtype=tf.string, default_value="" + ), + } + + features = tf.io.parse_single_example( + serialized=example_serialized, features=feature_map + ) + label = tf.cast(features["image/class/label"], dtype=tf.int32) + return features["image/encoded"], label + + +def parse_record( + raw_record, + is_training, + dtype, + data_format="channels_last", + image_size=defaults.DEFAULT_IMAGE_SIZE, + num_channels=defaults.NUM_CHANNELS, +): + """Parses a record containing a training example of an image. + The input record is parsed into a label and image, and the image is passed + through preprocessing steps (cropping, flipping, and so on). + + Args: + raw_record: scalar Tensor tf.string containing a serialized + Example protocol buffer. + is_training: A boolean denoting whether the input is for training. + dtype: data type to use for images/features. + data_format: the axis order of the matrix, channels_last NHWC or channels_first NCHW + + Returns: + Tuple with processed image tensor and one-hot-encoded label tensor. + """ + image_buffer, label = _parse_example_proto(raw_record) + + image = imagenet_preprocessing.preprocess_image( + image_buffer=image_buffer, + output_height=image_size, + output_width=image_size, + num_channels=num_channels, + is_training=is_training, + data_format=data_format, + ) + image = tf.cast(image, dtype) + + return image, label + + +def input_fn( + is_training, + data_dir, + batch_size, + num_epochs=1, + dtype=tf.float32, + num_parallel_batches=1, + parse_record_fn=parse_record, + data_format="channels_last", + distributed=False, + file_shuffle_buffer=10, + data_shuffle_buffer=defaults.SHUFFLE_BUFFER, +): + """Input function which provides batches for train or eval. + + Args: + is_training: A boolean denoting whether the input is for training. + data_dir: The directory containing the input data. + batch_size: The number of samples per batch. + num_epochs: The number of epochs to repeat the dataset. + dtype: Data type to use for images/features + num_parallel_batches: Number of parallel batches for tf.data. + parse_record_fn: Function to use for parsing the records. + + Returns: + A dataset that can be used for iteration. + """ + logger = logging.getLogger(__name__) + logger.info(f"Reading data info from {data_dir}") + filenames = get_filenames(is_training, data_dir) + for f in filenames: + if not os.path.exists(f): + raise ValueError(f"{f} File doesn't exist ") + logger.info(f"Found {len(filenames)} files") + dataset = tf.data.Dataset.from_tensor_slices(filenames) + + if is_training: + # Shuffle the input files + if distributed: + dataset = dataset.shard(hvd.size(), hvd.local_rank()) + + dataset = dataset.shuffle(buffer_size=file_shuffle_buffer) # _NUM_TRAIN_FILES + + # Convert to individual records. + # cycle_length = 10 means 10 files will be read and deserialized in parallel. + # This number is low enough to not cause too much contention on small systems + # but high enough to provide the benefits of parallelization. You may want + # to increase this number if you have a large number of CPU cores. + dataset = dataset.apply( + tf.data.experimental.parallel_interleave( + tf.data.TFRecordDataset, + cycle_length=num_parallel_batches, + buffer_output_elements=10, + ) + ) + + return process_record_dataset( + dataset=dataset, + is_training=is_training, + batch_size=batch_size, + shuffle_buffer=data_shuffle_buffer, + parse_record_fn=parse_record_fn, + num_epochs=num_epochs, + dtype=dtype, + num_parallel_batches=num_parallel_batches, + data_format=data_format, + ) + + +def process_record_dataset(dataset, + is_training, + batch_size, + shuffle_buffer, + parse_record_fn, + num_epochs=1, + dtype=tf.float32, + data_format="channels_last", + num_parallel_batches=1): + """Given a Dataset with raw records, return an iterator over the records. + + Args: + dataset: A Dataset representing raw records + is_training: A boolean denoting whether the input is for training. + batch_size: The number of samples per batch. + shuffle_buffer: The buffer size to use when shuffling records. A larger + value results in better randomness, but smaller values reduce startup + time and use less memory. + parse_record_fn: A function that takes a raw record and returns the + corresponding (image, label) pair. + num_epochs: The number of epochs to repeat the dataset. + dtype: Data type to use for images/features. + num_parallel_batches: Number of parallel batches for tf.data. + + Returns: + Dataset of (image, label) pairs ready for iteration. + """ + + # Prefetches a batch at a time to smooth out the time taken to load input + # files for shuffling and processing. + dataset = dataset.prefetch(buffer_size=batch_size) + if is_training: + # Shuffles records before repeating to respect epoch boundaries. + dataset = dataset.shuffle(buffer_size=shuffle_buffer) + + # Repeats the dataset for the number of epochs to train. + dataset = dataset.repeat(num_epochs) + + # Parses the raw records into images and labels. + dataset = dataset.apply( + tf.data.experimental.map_and_batch( + lambda value: parse_record_fn(value, is_training, dtype, data_format=data_format), + batch_size=batch_size, + num_parallel_batches=num_parallel_batches, + drop_remainder=False)) + + + dataset = dataset.prefetch(buffer_size=1024) + + return dataset \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/defaults.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/defaults.py new file mode 100644 index 0000000..3ff7743 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/defaults.py @@ -0,0 +1,25 @@ +import os + +from utils import str_to_bool + +LR = 0.001 +EPOCHS = os.getenv("EPOCHS", 5) +_BATCHSIZE = 64 +R_MEAN = 123.68 +G_MEAN = 116.78 +B_MEAN = 103.94 +BUFFER = 256 +DEFAULT_IMAGE_SIZE = 224 +NUM_CHANNELS = 3 +NUM_CLASSES = 1001 +NUM_IMAGES = {"train": 1_281_167, "validation": 50000} +NUM_TRAIN_FILES = 1024 +SHUFFLE_BUFFER = 1000 + +DATA_LENGTH = int( + os.getenv("FAKE_DATA_LENGTH", 1_281_167) +) # How much fake data to simulate, default to size of imagenet dataset + +DATASET_NAME = "ImageNet" + +DISTRIBUTED = str_to_bool(os.getenv("DISTRIBUTED", "False")) \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/imagenet_nounid_to_class.json b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/imagenet_nounid_to_class.json new file mode 100644 index 0000000..bf064b3 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/imagenet_nounid_to_class.json @@ -0,0 +1 @@ +{"n01440764": 0, "n01443537": 1, "n01484850": 2, "n01491361": 3, "n01494475": 4, "n01496331": 5, "n01498041": 6, "n01514668": 7, "n01514859": 8, "n01518878": 9, "n01530575": 10, "n01531178": 11, "n01532829": 12, "n01534433": 13, "n01537544": 14, "n01558993": 15, "n01560419": 16, "n01580077": 17, "n01582220": 18, "n01592084": 19, "n01601694": 20, "n01608432": 21, "n01614925": 22, "n01616318": 23, "n01622779": 24, "n01629819": 25, "n01630670": 26, "n01631663": 27, "n01632458": 28, 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All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +"""Provides utilities to preprocess images. + +Training images are sampled using the provided bounding boxes, and subsequently +cropped to the sampled bounding box. Images are additionally flipped randomly, +then resized to the target output size (without aspect-ratio preservation). + +Images used during evaluation are resized (with aspect-ratio preservation) and +centrally cropped. + +All images undergo mean color subtraction. + +Note that these steps are colloquially referred to as "ResNet preprocessing," +and they differ from "VGG preprocessing," which does not use bounding boxes +and instead does an aspect-preserving resize followed by random crop during +training. (These both differ from "Inception preprocessing," which introduces +color distortion steps.) + +""" + +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +import tensorflow as tf + +_R_MEAN = 123.68 +_G_MEAN = 116.78 +_B_MEAN = 103.94 +_CHANNEL_MEANS = [_R_MEAN, _G_MEAN, _B_MEAN] + +# The lower bound for the smallest side of the image for aspect-preserving +# resizing. For example, if an image is 500 x 1000, it will be resized to +# _RESIZE_MIN x (_RESIZE_MIN * 2). +_RESIZE_MIN = 256 + + +def _central_crop(image, crop_height, crop_width): + """Performs central crops of the given image list. + + Args: + image: a 3-D image tensor + crop_height: the height of the image following the crop. + crop_width: the width of the image following the crop. + + Returns: + 3-D tensor with cropped image. + """ + shape = tf.shape(input=image) + height, width = shape[0], shape[1] + + amount_to_be_cropped_h = height - crop_height + crop_top = amount_to_be_cropped_h // 2 + amount_to_be_cropped_w = width - crop_width + crop_left = amount_to_be_cropped_w // 2 + return tf.slice(image, [crop_top, crop_left, 0], [crop_height, crop_width, -1]) + + +def _mean_image_subtraction(image, means, num_channels): + """Subtracts the given means from each image channel. + + For example: + means = [123.68, 116.779, 103.939] + image = _mean_image_subtraction(image, means) + + Note that the rank of `image` must be known. + + Args: + image: a tensor of size [height, width, C]. + means: a C-vector of values to subtract from each channel. + num_channels: number of color channels in the image that will be distorted. + + Returns: + the centered image. + + Raises: + ValueError: If the rank of `image` is unknown, if `image` has a rank other + than three or if the number of channels in `image` doesn't match the + number of values in `means`. + """ + if image.get_shape().ndims != 3: + raise ValueError("Input must be of size [height, width, C>0]") + + if len(means) != num_channels: + raise ValueError("len(means) must match the number of channels") + + # We have a 1-D tensor of means; convert to 3-D. + means = tf.expand_dims(tf.expand_dims(means, 0), 0) + + return image - means + + +def _smallest_size_at_least(height, width, resize_min): + """Computes new shape with the smallest side equal to `smallest_side`. + + Computes new shape with the smallest side equal to `smallest_side` while + preserving the original aspect ratio. + + Args: + height: an int32 scalar tensor indicating the current height. + width: an int32 scalar tensor indicating the current width. + resize_min: A python integer or scalar `Tensor` indicating the size of + the smallest side after resize. + + Returns: + new_height: an int32 scalar tensor indicating the new height. + new_width: an int32 scalar tensor indicating the new width. + """ + resize_min = tf.cast(resize_min, tf.float32) + + # Convert to floats to make subsequent calculations go smoothly. + height, width = tf.cast(height, tf.float32), tf.cast(width, tf.float32) + + smaller_dim = tf.minimum(height, width) + scale_ratio = resize_min / smaller_dim + + # Convert back to ints to make heights and widths that TF ops will accept. + new_height = tf.cast(height * scale_ratio, tf.int32) + new_width = tf.cast(width * scale_ratio, tf.int32) + + return new_height, new_width + + +def _aspect_preserving_resize(image, resize_min): + """Resize images preserving the original aspect ratio. + + Args: + image: A 3-D image `Tensor`. + resize_min: A python integer or scalar `Tensor` indicating the size of + the smallest side after resize. + + Returns: + resized_image: A 3-D tensor containing the resized image. + """ + shape = tf.shape(input=image) + height, width = shape[0], shape[1] + + new_height, new_width = _smallest_size_at_least(height, width, resize_min) + + return _resize_image(image, new_height, new_width) + + +def _resize_image(image, height, width): + """Simple wrapper around tf.resize_images. + + This is primarily to make sure we use the same `ResizeMethod` and other + details each time. + + Args: + image: A 3-D image `Tensor`. + height: The target height for the resized image. + width: The target width for the resized image. + + Returns: + resized_image: A 3-D tensor containing the resized image. The first two + dimensions have the shape [height, width]. + """ + + return tf.image.resize_images( + image, + [height, width], + method=tf.image.ResizeMethod.BILINEAR, + align_corners=False, + ) + + +def preprocess_image( + image_buffer, + output_height, + output_width, + num_channels, + is_training=False, + data_format="channels_last", +): + """Preprocesses the given image. + + Preprocessing includes decoding, cropping, and resizing for both training + and eval images. Training preprocessing, however, introduces some random + distortion of the image to improve accuracy. + + Args: + image_buffer: scalar string Tensor representing the raw JPEG image buffer. + output_height: The height of the image after preprocessing. + output_width: The width of the image after preprocessing. + num_channels: Integer depth of the image buffer for decoding. + is_training: `True` if we're preprocessing the image for training and + `False` otherwise. + + Returns: + A preprocessed image. + """ + if is_training: + # For training, we want to randomize some of the distortions. + image = tf.image.decode_jpeg(image_buffer, channels=num_channels) + image = _resize_image(image, output_height, output_width) + else: + # For validation, we want to decode, resize, then just crop the middle. + image = tf.image.decode_jpeg(image_buffer, channels=num_channels) + image = _aspect_preserving_resize(image, _RESIZE_MIN) + image = _central_crop(image, output_height, output_width) + + image.set_shape([output_height, output_width, num_channels]) + image = _mean_image_subtraction(image, _CHANNEL_MEANS, num_channels) + + if data_format == "channels_first": + image = tf.transpose(image, [2, 0, 1]) # Transform from NHWC to NCHW + image.set_shape([num_channels, output_height, output_width]) + + return image diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/logging.conf b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/logging.conf new file mode 100644 index 0000000..34fc518 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/logging.conf @@ -0,0 +1,33 @@ +[loggers] +keys=root,__main__,tensorflow + +[handlers] +keys=consoleHandler + +[formatters] +keys=simpleFormatter + +[logger_root] +level=INFO +handlers=consoleHandler + +[logger___main__] +level=DEBUG +handlers=consoleHandler +qualname=__main__ +propagate=0 + +[logger_tensorflow] +level=DEBUG +handlers=consoleHandler +qualname=tensorflow +propagate=0 + +[handler_consoleHandler] +class=StreamHandler +level=DEBUG +formatter=simpleFormatter +args=(sys.stdout,) + +[formatter_simpleFormatter] +format=%(asctime)s - %(name)s - %(levelname)s - %(message)s \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/resnet_main.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/resnet_main.py new file mode 100644 index 0000000..8d1902d --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/resnet_main.py @@ -0,0 +1,308 @@ +""" This the script is the main entry point for training ResNet model using TensorFlow with Horovod + +""" +import logging +import logging.config +import os + +import fire +import tensorflow as tf + +from data.synthetic import get_synth_input_fn +from data import tfrecords, images +from resnet_model import resnet_v1 +from timer import Timer +from utils import ExamplesPerSecondHook +import defaults + + +if defaults.DISTRIBUTED: + import horovod.tensorflow as hvd + + +def _get_rank(): + if defaults.DISTRIBUTED: + try: + return hvd.rank() + except: + return 0 + else: + return 0 + + +# Data processing +############################################################################### + + +def _get_optimizer(params, is_distributed=defaults.DISTRIBUTED): + if is_distributed: + # Horovod: add Horovod Distributed Optimizer. + return hvd.DistributedOptimizer( + tf.train.MomentumOptimizer( + learning_rate=params["learning_rate"] * hvd.size(), + momentum=params["momentum"], + ) + ) + else: + return tf.train.MomentumOptimizer( + learning_rate=params["learning_rate"], momentum=params["momentum"] + ) + + +def build_network(features, mode, params): + """ Build ResNet50 Model + + Args: + features: + mode: + params: + + Returns: + Model function + """ + network = resnet_v1( + resnet_depth=50, + num_classes=params["classes"], + data_format=params["data_format"], + ) + return network(inputs=features, is_training=(mode == tf.estimator.ModeKeys.TRAIN)) + + +def model_fn(features, labels, mode, params): + """Model function that returns the estimator spec + + Args: + features: This is the x-arg from the input_fn. + labels: This is the y-arg from the input_fn, + see e.g. train_input_fn for these two. + mode: Either TRAIN, EVAL, or PREDICT + params: User-defined hyper-parameters, e.g. learning-rate. + Returns: + tf.estimator.EstimatorSpec: Estimator specification + """ + logger = logging.getLogger(__name__) + logger.info("Creating model in {} mode".format(mode)) + + logits = build_network(features, mode, params) + + # Classification output of the neural network. + y_pred_cls = tf.argmax(logits, axis=1) + + if mode == tf.estimator.ModeKeys.PREDICT: + # Softmax output of the neural network. + y_pred = tf.nn.softmax(logits=logits) + + predictions = { + "class_ids": y_pred_cls, + "probabilities": y_pred, + "logits": logits, + } + return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions) + + cross_entropy = tf.nn.sparse_softmax_cross_entropy_with_logits( + logits=logits, labels=labels + ) + + loss = tf.reduce_mean(cross_entropy, name="loss") + + accuracy = tf.metrics.accuracy(labels=labels, predictions=y_pred_cls, name="acc_op") + metrics = {"accuracy": accuracy} + + if mode == tf.estimator.ModeKeys.EVAL: + eval_hook_list = [] + eval_tensors_log = {"acc": accuracy[1]} + eval_hook_list.append( + tf.train.LoggingTensorHook(tensors=eval_tensors_log, every_n_iter=100) + ) + + return tf.estimator.EstimatorSpec( + mode=mode, + eval_metric_ops=metrics, + loss=loss, + evaluation_hooks=eval_hook_list, + ) + + optimizer = _get_optimizer(params) + + train_op = optimizer.minimize(loss=loss, global_step=tf.train.get_global_step()) + + train_hook_list = [] + train_tensors_log = {"loss": loss, "acc": accuracy[1]} + train_hook_list.append( + tf.train.LoggingTensorHook(tensors=train_tensors_log, every_n_iter=100) + ) + + return tf.estimator.EstimatorSpec( + mode=mode, loss=loss, train_op=train_op, training_hooks=train_hook_list + ) + + +def _get_runconfig(is_distributed=defaults.DISTRIBUTED, save_checkpoints_steps=None): + if is_distributed: + # Horovod: pin GPU to be used to process local rank (one GPU per process) + config = tf.ConfigProto() + config.gpu_options.allow_growth = True + config.gpu_options.visible_device_list = str(hvd.local_rank()) + + return tf.estimator.RunConfig( + save_checkpoints_steps=save_checkpoints_steps, + save_checkpoints_secs=None, + session_config=config, + log_step_count_steps=100, + ) + else: + return tf.estimator.RunConfig( + save_checkpoints_steps=save_checkpoints_steps, + save_checkpoints_secs=None, + log_step_count_steps=100, + ) + + +def _get_hooks(batch_size, is_distributed=defaults.DISTRIBUTED): + logger = logging.getLogger(__name__) + + if is_distributed: + exps_hook = ExamplesPerSecondHook(batch_size * hvd.size()) + bcast_hook = hvd.BroadcastGlobalVariablesHook(0) + logger.info("Rank: {} Cluster Size {}".format(hvd.local_rank(), hvd.size())) + return [bcast_hook, exps_hook] + else: + exps_hook = ExamplesPerSecondHook(batch_size) + return [exps_hook] + + +def _is_master(is_distributed=defaults.DISTRIBUTED): + if is_distributed: + if hvd.rank() == 0: + return True + else: + return False + else: + return True + + +def _log_summary(total_images, batch_size, duration): + logger = logging.getLogger(__name__) + images_per_second = total_images / duration + logger.info("Data length: {}".format(total_images)) + logger.info("Total duration: {:.3f}".format(duration)) + logger.info("Total images/sec: {:.3f}".format(images_per_second)) + logger.info( + "Batch size: (Per GPU {}: Total {})".format( + batch_size, hvd.size() * batch_size if defaults.DISTRIBUTED else batch_size + ) + ) + logger.info( + "Distributed: {}".format("True" if defaults.DISTRIBUTED else "False") + ) + logger.info( + "Num GPUs: {:.3f}".format(hvd.size() if defaults.DISTRIBUTED else 1) + ) + + +def main( + training_data_path=None, + validation_data_path=None, + save_filepath="logs", + epochs=defaults.EPOCHS, + batch_size=defaults._BATCHSIZE, + max_steps=None, + save_checkpoints_steps=None, + data_format="channels_last", + momentum=0.9, + data_type="tfrecords" +): + """Run train and evaluation loop + + Args: + training_data_path: Location of training data + validation_data_path: Location of validation data + save_filepath: Location where the checkpoint and events files are saved + epochs: Number of epochs to run the training for + batch_size: Number of images to run in a mini-batch + max_steps: Maximum number of steps to run for training and validation. This will override epochs parameter + save_checkpoints_steps: Number of steps between checkpoints + data_format: The axis order of the matrix, channels_last NHWC or channels_first NCHW + momentum: Momentum term for tf.train.MomentumOptimizer + data_type: The format that the data is in, valid values are 'images' and 'tfrecords' + """ + logger = logging.getLogger(__name__) + if defaults.DISTRIBUTED: + # Horovod: initialize Horovod. + hvd.init() + logger.info("Runnin Distributed") + logger.info("Num GPUs: {:.3f}".format(hvd.size())) + + logger.info("Tensorflow version {}".format(tf.__version__)) + if training_data_path is None: + input_function = get_synth_input_fn( + defaults.DEFAULT_IMAGE_SIZE, + defaults.DEFAULT_IMAGE_SIZE, + defaults.NUM_CHANNELS, + defaults.NUM_CLASSES, + ) + else: + input_function = tfrecords.input_fn if "tfrecords" in data_type else images.input_fn + + run_config = _get_runconfig(save_checkpoints_steps=save_checkpoints_steps) + if (defaults.DISTRIBUTED and hvd.rank() == 0) or not defaults.DISTRIBUTED: + model_dir = save_filepath + else: + model_dir = "." + + params = { + "learning_rate": defaults.LR, + "momentum": momentum, + "classes": defaults.NUM_CLASSES, + "data_format": data_format, + } + logger.info("Creating estimator with params: {}".format(params)) + model = tf.estimator.Estimator( + model_fn=model_fn, params=params, model_dir=model_dir, config=run_config + ) + + hooks = _get_hooks(batch_size) + num_gpus = hvd.size() if defaults.DISTRIBUTED else 1 + + def train_input_fn(): + return input_function( + True, + training_data_path, + batch_size, + num_epochs=epochs, + data_format=data_format, + num_parallel_batches=4, + distributed=defaults.DISTRIBUTED + ) + + with Timer(output=logger.info, prefix="Training") as t: + logger.info("Training...") + model.train(input_fn=train_input_fn, max_steps=max_steps, hooks=hooks) + + if max_steps is not None: + total_images = max_steps * batch_size * num_gpus + else: + total_images = epochs * defaults.NUM_IMAGES["train"] + + _log_summary(total_images, batch_size, t.elapsed) + + if _is_master() and validation_data_path is not None: + + def validation_input_fn(): + return input_function( + False, + validation_data_path, + batch_size, + num_epochs=1, + data_format=data_format, + num_parallel_batches=4, + ) + + with Timer(output=logger.info, prefix="Testing"): + logger.info("Testing...") + model.evaluate(input_fn=validation_input_fn, steps=max_steps) + + +if __name__ == "__main__": + logging.config.fileConfig(os.getenv("LOG_CONFIG", "logging.conf")) + fire.Fire(main) diff --git a/HorovodTF/src/resnet_model.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/resnet_model.py similarity index 100% rename from HorovodTF/src/resnet_model.py rename to {{cookiecutter.project_name}}/TensorFlow_imagenet/src/resnet_model.py diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/resnet_run_loop.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/resnet_run_loop.py new file mode 100644 index 0000000..36ec131 --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/resnet_run_loop.py @@ -0,0 +1,149 @@ +# Copyright 2017 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +"""Contains utility and supporting functions for ResNet. + + This module contains ResNet code which does not directly build layers. This +includes dataset management, hyperparameter and optimizer code, and argument +parsing. Code for defining the ResNet layers can be found in resnet_model.py. +""" + +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +import multiprocessing +import os + +# pylint: disable=g-bad-import-order +import tensorflow as tf +import imagenet_preprocessing + + +################################################################################ +# Functions for input processing. +################################################################################ + + +def image_bytes_serving_input_fn(image_shape, dtype=tf.float32): + """Serving input fn for raw jpeg images.""" + + def _preprocess_image(image_bytes): + """Preprocess a single raw image.""" + # Bounding box around the whole image. + bbox = tf.constant([0.0, 0.0, 1.0, 1.0], dtype=dtype, shape=[1, 1, 4]) + height, width, num_channels = image_shape + image = imagenet_preprocessing.preprocess_image( + image_bytes, bbox, height, width, num_channels, is_training=False) + return image + + image_bytes_list = tf.compat.v1.placeholder( + shape=[None], dtype=tf.string, name='input_tensor') + images = tf.map_fn( + _preprocess_image, image_bytes_list, back_prop=False, dtype=dtype) + return tf.estimator.export.TensorServingInputReceiver( + images, {'image_bytes': image_bytes_list}) + + +def override_flags_and_set_envars_for_gpu_thread_pool(flags_obj): + """Override flags and set env_vars for performance. + + These settings exist to test the difference between using stock settings + and manual tuning. It also shows some of the ENV_VARS that can be tweaked to + squeeze a few extra examples per second. These settings are defaulted to the + current platform of interest, which changes over time. + + On systems with small numbers of cpu cores, e.g. under 8 logical cores, + setting up a gpu thread pool with `tf_gpu_thread_mode=gpu_private` may perform + poorly. + + Args: + flags_obj: Current flags, which will be adjusted possibly overriding + what has been set by the user on the command-line. + """ + cpu_count = multiprocessing.cpu_count() + tf.compat.v1.logging.info('Logical CPU cores: %s', cpu_count) + + # Sets up thread pool for each GPU for op scheduling. + per_gpu_thread_count = 1 + total_gpu_thread_count = per_gpu_thread_count * flags_obj.num_gpus + os.environ['TF_GPU_THREAD_MODE'] = flags_obj.tf_gpu_thread_mode + os.environ['TF_GPU_THREAD_COUNT'] = str(per_gpu_thread_count) + tf.compat.v1.logging.info('TF_GPU_THREAD_COUNT: %s', + os.environ['TF_GPU_THREAD_COUNT']) + tf.compat.v1.logging.info('TF_GPU_THREAD_MODE: %s', + os.environ['TF_GPU_THREAD_MODE']) + + # Reduces general thread pool by number of threads used for GPU pool. + main_thread_count = cpu_count - total_gpu_thread_count + flags_obj.inter_op_parallelism_threads = main_thread_count + + # Sets thread count for tf.data. Logical cores minus threads assign to the + # private GPU pool along with 2 thread per GPU for event monitoring and + # sending / receiving tensors. + num_monitoring_threads = 2 * flags_obj.num_gpus + flags_obj.datasets_num_private_threads = (cpu_count - total_gpu_thread_count + - num_monitoring_threads) + + +################################################################################ +# Functions for running training/eval/validation loops for the model. +################################################################################ +def learning_rate_with_decay( + batch_size, batch_denom, num_images, boundary_epochs, decay_rates, + base_lr=0.1, warmup=False): + """Get a learning rate that decays step-wise as training progresses. + + Args: + batch_size: the number of examples processed in each training batch. + batch_denom: this value will be used to scale the base learning rate. + `0.1 * batch size` is divided by this number, such that when + batch_denom == batch_size, the initial learning rate will be 0.1. + num_images: total number of images that will be used for training. + boundary_epochs: list of ints representing the epochs at which we + decay the learning rate. + decay_rates: list of floats representing the decay rates to be used + for scaling the learning rate. It should have one more element + than `boundary_epochs`, and all elements should have the same type. + base_lr: Initial learning rate scaled based on batch_denom. + warmup: Run a 5 epoch warmup to the initial lr. + Returns: + Returns a function that takes a single argument - the number of batches + trained so far (global_step)- and returns the learning rate to be used + for training the next batch. + """ + initial_learning_rate = base_lr * batch_size / batch_denom + batches_per_epoch = num_images / batch_size + + # Reduce the learning rate at certain epochs. + # CIFAR-10: divide by 10 at epoch 100, 150, and 200 + # ImageNet: divide by 10 at epoch 30, 60, 80, and 90 + boundaries = [int(batches_per_epoch * epoch) for epoch in boundary_epochs] + vals = [initial_learning_rate * decay for decay in decay_rates] + + def learning_rate_fn(global_step): + """Builds scaled learning rate function with 5 epoch warm up.""" + lr = tf.compat.v1.train.piecewise_constant(global_step, boundaries, vals) + if warmup: + warmup_steps = int(batches_per_epoch * 5) + warmup_lr = ( + initial_learning_rate * tf.cast(global_step, tf.float32) / tf.cast( + warmup_steps, tf.float32)) + return tf.cond(pred=global_step < warmup_steps, + true_fn=lambda: warmup_lr, + false_fn=lambda: lr) + return lr + + return learning_rate_fn + diff --git a/common/timer.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/timer.py similarity index 100% rename from common/timer.py rename to {{cookiecutter.project_name}}/TensorFlow_imagenet/src/timer.py diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/utils.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/utils.py new file mode 100644 index 0000000..e9c695a --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/src/utils.py @@ -0,0 +1,75 @@ +# Taken from https://github.com/tensorflow/models/blob/master/tutorials/image/cifar10_estimator/cifar10_utils.py +from tensorflow.python.platform import tf_logging as logging +from tensorflow.python.training import basic_session_run_hooks +from tensorflow.python.training import session_run_hook +from tensorflow.python.training import training_util + + +def str_to_bool(in_str): + if "t" in in_str.lower(): + return True + else: + return False + + +class ExamplesPerSecondHook(session_run_hook.SessionRunHook): + """Hook to print out examples per second. + Total time is tracked and then divided by the total number of steps + to get the average step time and then batch_size is used to determine + the running average of examples per second. The examples per second for the + most recent interval is also logged. + """ + + def __init__(self, batch_size, every_n_steps=100, every_n_secs=None): + """Initializer for ExamplesPerSecondHook. + Args: + batch_size: Total batch size used to calculate examples/second from + global time. + every_n_steps: Log stats every n steps. + every_n_secs: Log stats every n seconds. + """ + if (every_n_steps is None) == (every_n_secs is None): + raise ValueError( + "exactly one of every_n_steps" " and every_n_secs should be provided." + ) + self._timer = basic_session_run_hooks.SecondOrStepTimer( + every_steps=every_n_steps, every_secs=every_n_secs + ) + + self._step_train_time = 0 + self._total_steps = 0 + self._batch_size = batch_size + + def begin(self): + self._global_step_tensor = training_util.get_global_step() + if self._global_step_tensor is None: + raise RuntimeError("Global step should be created to use StepCounterHook.") + + def before_run(self, run_context): # pylint: disable=unused-argument + return basic_session_run_hooks.SessionRunArgs(self._global_step_tensor) + + def after_run(self, run_context, run_values): + _ = run_context + + global_step = run_values.results + if self._timer.should_trigger_for_step(global_step): + elapsed_time, elapsed_steps = self._timer.update_last_triggered_step( + global_step + ) + if elapsed_time is not None: + steps_per_sec = elapsed_steps / elapsed_time + self._step_train_time += elapsed_time + self._total_steps += elapsed_steps + + average_examples_per_sec = self._batch_size * ( + self._total_steps / self._step_train_time + ) + current_examples_per_sec = steps_per_sec * self._batch_size + # Average examples/sec followed by current examples/sec + logging.info( + "%s: %g (%g), step = %g", + "Average examples/sec", + average_examples_per_sec, + current_examples_per_sec, + self._total_steps, + ) diff --git a/{{cookiecutter.project_name}}/TensorFlow_imagenet/tensorflow_imagenet.py b/{{cookiecutter.project_name}}/TensorFlow_imagenet/tensorflow_imagenet.py new file mode 100644 index 0000000..5f8395e --- /dev/null +++ b/{{cookiecutter.project_name}}/TensorFlow_imagenet/tensorflow_imagenet.py @@ -0,0 +1,176 @@ +"""Module for running TensorFlow training on Imagenet data +""" +from invoke import task, Collection +import os +from config import load_config + + +_BASE_PATH = os.path.dirname(os.path.abspath(__file__)) +env_values = load_config() + + +@task +def submit_synthetic(c, node_count=int(env_values["CLUSTER_MAX_NODES"]), epochs=1): + """Submit TensorFlow training job using synthetic imagenet data to remote cluster + + Args: + node_count (int, optional): The number of nodes to use in cluster. Defaults to env_values['CLUSTER_MAX_NODES']. + epochs (int, optional): Number of epochs to run training for. Defaults to 1. + """ + from aml_compute import TFExperimentCLI + + exp = TFExperimentCLI("synthetic_images_remote") + run = exp.submit( + os.path.join(_BASE_PATH, "src"), + "resnet_main.py", + {"--epochs": epochs}, + node_count=node_count, + dependencies_file="TensorFlow_imagenet/environment_gpu.yml", + wait_for_completion=True, + ) + print(run) + + +@task +def submit_synthetic_local(c, epochs=1): + """Submit TensorFlow training job using synthetic imagenet data for local execution + + Args: + epochs (int, optional): Number of epochs to run training for. Defaults to 1. + """ + from aml_compute import TFExperimentCLI + + exp = TFExperimentCLI("synthetic_images_local") + run = exp.submit_local( + os.path.join(_BASE_PATH, "src"), + "resnet_main.py", + {"--epochs": epochs}, + dependencies_file="TensorFlow_imagenet/environment_gpu.yml", + wait_for_completion=True, + ) + print(run) + + +@task +def submit_images(c, node_count=int(env_values["CLUSTER_MAX_NODES"]), epochs=1): + """Submit TensorFlow training job using real imagenet data to remote cluster + + Args: + node_count (int, optional): The number of nodes to use in cluster. Defaults to env_values['CLUSTER_MAX_NODES']. + epochs (int, optional): Number of epochs to run training for. Defaults to 1. + """ + from aml_compute import TFExperimentCLI + + exp = TFExperimentCLI("real_images_remote") + run = exp.submit( + os.path.join(_BASE_PATH, "src"), + "resnet_main.py", + { + "--training_data_path": "{datastore}/train", + "--validation_data_path": "{datastore}/validation", + "--epochs": epochs, + "--data_type": "images", + "--data-format": "channels_first", + }, + node_count=node_count, + dependencies_file="TensorFlow_imagenet/environment_gpu.yml", + wait_for_completion=True, + ) + print(run) + + +@task +def submit_images_local(c, epochs=1): + """Submit TensorFlow training job using real imagenet data for local execution + + Args: + epochs (int, optional): Number of epochs to run training for. Defaults to 1. + """ + from aml_compute import TFExperimentCLI + + exp = TFExperimentCLI("real_images_local") + run = exp.submit_local( + os.path.join(_BASE_PATH, "src"), + "resnet_main.py", + { + "--training_data_path": "/data/train", + "--validation_data_path": "/data/validation", + "--epochs": epochs, + "--data_type": "images", + "--data-format": "channels_first", + }, + dependencies_file="TensorFlow_imagenet/environment_gpu.yml", + docker_args=["-v", f"{env_values['data']}:/data"], + wait_for_completion=True, + ) + print(run) + + +@task +def submit_tfrecords(c, node_count=int(env_values["CLUSTER_MAX_NODES"]), epochs=1): + """Submit TensorFlow training job using real imagenet data as tfrecords to remote cluster + + Args: + node_count (int, optional): The number of nodes to use in cluster. Defaults to env_values['CLUSTER_MAX_NODES']. + epochs (int, optional): Number of epochs to run training for. Defaults to 1. + """ + from aml_compute import TFExperimentCLI + + exp = TFExperimentCLI("real_tfrecords_remote") + run = exp.submit( + os.path.join(_BASE_PATH, "src"), + "resnet_main.py", + { + "--training_data_path": "{datastore}/tfrecords/train", + "--validation_data_path": "{datastore}/tfrecords/validation", + "--epochs": epochs, + "--data_type": "tfrecords", + "--data-format": "channels_first", + }, + node_count=node_count, + dependencies_file="TensorFlow_imagenet/environment_gpu.yml", + wait_for_completion=True, + ) + print(run) + + +@task +def submit_tfrecords_local(c, epochs=1): + """Submit TensorFlow training job using real imagenet data as tfrecords for local execution + + Args: + epochs (int, optional): Number of epochs to run training for. Defaults to 1. + """ + from aml_compute import TFExperimentCLI + + exp = TFExperimentCLI("real_tfrecords_local") + run = exp.submit_local( + os.path.join(_BASE_PATH, "src"), + "resnet_main.py", + { + "--training_data_path": "/data/tfrecords/train", + "--validation_data_path": "/data/tfrecords/validation", + "--epochs": epochs, + "--data_type": "tfrecords", + "--data-format": "channels_first", + }, + dependencies_file="TensorFlow_imagenet/environment_gpu.yml", + docker_args=["-v", f"{env_values['data']}:/data"], + wait_for_completion=True, + ) + print(run) + + +remote_collection = Collection("remote") +remote_collection.add_task(submit_images, "images") +remote_collection.add_task(submit_tfrecords, "tfrecords") +remote_collection.add_task(submit_synthetic, "synthetic") + +local_collection = Collection("local") +local_collection.add_task(submit_images_local, "images") +local_collection.add_task(submit_tfrecords_local, "tfrecords") +local_collection.add_task(submit_synthetic_local, "synthetic") + +submit_collection = Collection("submit", local_collection, remote_collection) +namespace = Collection("tf_imagenet", submit_collection) + diff --git a/{{cookiecutter.project_name}}/_dotenv_template b/{{cookiecutter.project_name}}/_dotenv_template new file mode 100644 index 0000000..8a82815 --- /dev/null +++ b/{{cookiecutter.project_name}}/_dotenv_template @@ -0,0 +1,15 @@ +CLUSTER_NAME={{cookiecutter.cluster_name}} +CLUSTER_VM_SIZE={{cookiecutter.vm_size}} +CLUSTER_MIN_NODES={{cookiecutter.minimum_number_nodes}} +CLUSTER_MAX_NODES={{cookiecutter.maximum_number_nodes}} +WORKSPACE={{cookiecutter.workspace}} +RESOURCE_GROUP={{cookiecutter.resource_group}} +REGION={{cookiecutter.region}} +LOG_CONFIG=/workspace/control/src/logging.conf +SUBSCRIPTION_ID={{cookiecutter.subscription_id}} +DATASTORE_NAME={{cookiecutter.datastore_name}} +CONTAINER_NAME={{cookiecutter.container_name}} +ACCOUNT_NAME={{cookiecutter.account_name}} +ACCOUNT_KEY={{cookiecutter.account_key}} +DATA={{cookiecutter.data}} +IMAGE_NAME={{cookiecutter.container_registry}}/{{cookiecutter.image_name}} \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/control/Docker/azure_requirements.txt b/{{cookiecutter.project_name}}/control/Docker/azure_requirements.txt new file mode 100644 index 0000000..0766f3d --- /dev/null +++ b/{{cookiecutter.project_name}}/control/Docker/azure_requirements.txt @@ -0,0 +1,4 @@ +azure +azure-cli-core +azureml-sdk[notebooks,contrib,tensorboard] +git+https://github.com/msalvaris/amltoolz.git \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/control/Docker/bash.completion b/{{cookiecutter.project_name}}/control/Docker/bash.completion new file mode 100644 index 0000000..d37d964 --- /dev/null +++ b/{{cookiecutter.project_name}}/control/Docker/bash.completion @@ -0,0 +1,32 @@ +# Invoke tab-completion script to be sourced with Bash shell. +# Known to work on Bash 3.x, untested on 4.x. + +_complete_invoke() { + local candidates + + # COMP_WORDS contains the entire command string up til now (including + # program name). + # We hand it to Invoke so it can figure out the current context: spit back + # core options, task names, the current task's options, or some combo. + candidates=`invoke --complete -- ${COMP_WORDS[*]}` + + # `compgen -W` takes list of valid options & a partial word & spits back + # possible matches. Necessary for any partial word completions (vs + # completions performed when no partial words are present). + # + # $2 is the current word or token being tabbed on, either empty string or a + # partial word, and thus wants to be compgen'd to arrive at some subset of + # our candidate list which actually matches. + # + # COMPREPLY is the list of valid completions handed back to `complete`. + COMPREPLY=( $(compgen -W "${candidates}" -- $2) ) +} + + +# Tell shell builtin to use the above for completing our invocations. +# * -F: use given function name to generate completions. +# * -o default: when function generates no results, use filenames. +# * positional args: program names to complete for. +complete -F _complete_invoke -o default invoke inv + +# vim: set ft=sh : diff --git a/{{cookiecutter.project_name}}/control/Docker/dockerfile b/{{cookiecutter.project_name}}/control/Docker/dockerfile new file mode 100644 index 0000000..b237e16 --- /dev/null +++ b/{{cookiecutter.project_name}}/control/Docker/dockerfile @@ -0,0 +1,96 @@ +FROM ubuntu:16.04 + +RUN apt-get update && apt-get install -y --no-install-recommends \ + build-essential \ + cmake \ + git \ + curl \ + nano \ + wget \ + unzip \ + ca-certificates \ + jq \ + locales \ + apt-transport-https \ + software-properties-common \ + sudo \ + tmux + + +# Install Docker +RUN curl -fsSL https://download.docker.com/linux/ubuntu/gpg | apt-key add - && \ + apt-key fingerprint 0EBFCD88 && \ + add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu \ + $(lsb_release -cs) \ + stable" &&\ + apt-get update && apt-get install -y --no-install-recommends docker-ce + + +RUN locale-gen en_US.UTF-8 +ENV LANG en_US.UTF-8 +ENV LANGUAGE en_US:en +ENV LC_ALL en_US.UTF-8 + +COPY environment.yml . +COPY azure_requirements.txt . + +ENV ENV_NAME=py36 +RUN curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \ + chmod +x ~/miniconda.sh && \ + ~/miniconda.sh -b -p /opt/conda && \ + rm ~/miniconda.sh && \ + /opt/conda/bin/conda env create -q --name $ENV_NAME -f environment.yml && \ + /opt/conda/bin/conda clean -ya && \ + ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \ + echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \ + echo "conda activate $ENV_NAME" >> ~/.bashrc +ENV PATH /opt/conda/envs/$ENV_NAME/bin:/opt/conda/bin:$PATH + +RUN ["/bin/bash", "-c", "pip install -r azure_requirements.txt --ignore-installed PyYAML"] + +# Install Azure CLI +RUN echo "deb [arch=amd64] https://packages.microsoft.com/repos/azure-cli/ xenial main" | \ + tee /etc/apt/sources.list.d/azure-cli.list && \ + apt-key --keyring /etc/apt/trusted.gpg.d/Microsoft.gpg adv \ + --keyserver packages.microsoft.com \ + --recv-keys BC528686B50D79E339D3721CEB3E94ADBE1229CF && \ + apt-get update && \ + apt-get install -y --no-install-recommends \ + azure-cli + +RUN az extension add -n azure-cli-ml # Install azure ml extension + +# Install AzCopy +RUN echo "deb [arch=amd64] https://packages.microsoft.com/repos/microsoft-ubuntu-xenial-prod/ xenial main" > azure.list &&\ + cp ./azure.list /etc/apt/sources.list.d/ &&\ + apt-key adv --keyserver packages.microsoft.com --recv-keys B02C46DF417A0893 &&\ + apt-get update &&\ + apt-get install -y --no-install-recommends azcopy + +COPY jupyter_notebook_config.py /root/.jupyter/ + +SHELL ["/bin/bash", "-c"] +RUN jupyter nbextension install --py --user azureml.widgets && \ + jupyter nbextension enable --py --user azureml.widgets + +# Adding nvidia-docker alias +RUN echo -e '#!/bin/bash\ndocker "$@"' > /usr/bin/nvidia-docker && \ + chmod +x /usr/bin/nvidia-docker + +ENV PYTHONPATH /workspace/scripts:/workspace/control/src:$PYTHONPATH +# template {% if cookiecutter.type == "template" or cookiecutter.type == "all"%} +ENV PYTHONPATH /workspace/TensorFlow_experiment:$PYTHONPATH +# ------ {% endif %} +# benchmark {% if cookiecutter.type == "benchmark" or cookiecutter.type == "all"%} +ENV PYTHONPATH /workspace/TensorFlow_benchmark:$PYTHONPATH +# ------ {% endif %} +# imagenet {% if cookiecutter.type == "imagenet" or cookiecutter.type == "all"%} +ENV PYTHONPATH /workspace/TensorFlow_imagenet:$PYTHONPATH +# ------- {% endif %} +# Completion script +COPY bash.completion /etc/bash_completion.d/ +RUN echo "source /etc/bash_completion.d/bash.completion" >> /root/.bashrc +# Tmux +COPY tmux.conf /root/.tmux.conf +WORKDIR /workspace +CMD /bin/bash \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/control/Docker/environment.yml b/{{cookiecutter.project_name}}/control/Docker/environment.yml new file mode 100644 index 0000000..c21c3d7 --- /dev/null +++ b/{{cookiecutter.project_name}}/control/Docker/environment.yml @@ -0,0 +1,29 @@ +name: py36 +channels: + - conda-forge +dependencies: + - python=3.6 + - jupyter + - ipykernel + - matplotlib + - seaborn + - numpy + - pandas + - selenium + - phantomjs + - pillow + - bokeh + - ipython + - ipdb + - pip: + - docker + - fire + - toolz + - tabulate==0.8.2 + - Jinja2 + - gitpython + - tensorflow # Installing for Tensorboard + - tensorboard + - tqdm + - python-dotenv[cli]==0.10.1 + - invoke \ No newline at end of file diff --git a/{{cookiecutter.project_name}}/control/Docker/jupyter_notebook_config.py b/{{cookiecutter.project_name}}/control/Docker/jupyter_notebook_config.py new file mode 100644 index 0000000..eeed752 --- /dev/null +++ b/{{cookiecutter.project_name}}/control/Docker/jupyter_notebook_config.py @@ -0,0 +1,6 @@ +# Configuration file for jupyter-notebook. + +c.NotebookApp.ip = "0.0.0.0" +c.NotebookApp.port = 9999 +c.NotebookApp.open_browser = False +c.NotebookApp.allow_root = True diff --git a/{{cookiecutter.project_name}}/control/Docker/tmux.conf b/{{cookiecutter.project_name}}/control/Docker/tmux.conf new file mode 100644 index 0000000..1813238 --- /dev/null +++ b/{{cookiecutter.project_name}}/control/Docker/tmux.conf @@ -0,0 +1,4 @@ +# remap prefix from 'C-b' to 'C-a' +unbind C-b +set-option -g prefix C-a +bind-key C-a send-prefix diff --git a/{{cookiecutter.project_name}}/control/src/aml_compute.py b/{{cookiecutter.project_name}}/control/src/aml_compute.py new file mode 100644 index 0000000..58539a9 --- /dev/null +++ b/{{cookiecutter.project_name}}/control/src/aml_compute.py @@ -0,0 +1,510 @@ +import logging +import logging.config +import os + +import azureml.core +import fire +from amltoolz import Workspace +from azureml import core +from azureml.core import Datastore +from azureml.core.compute import ComputeTarget, AmlCompute +from azureml.core.compute_target import ComputeTargetException +from azureml.core.conda_dependencies import ( + CondaDependencies, + TENSORFLOW_DEFAULT_VERSION, +) +from azureml.core.runconfig import EnvironmentDefinition +from azureml.tensorboard import Tensorboard +from azureml.train.dnn import TensorFlow +from config import load_config +from toolz import curry, pipe +from pprint import pformat +from time import sleep + + +logging.config.fileConfig(os.getenv("LOG_CONFIG", "logging.conf")) + +config_dict = load_config() + +_DEFAULT_AML_PATH = config_dict.get("DEFAULT_AML_PATH", "aml_config/azml_config.json") +_CLUSTER_NAME = config_dict.get("CLUSTER_NAME", "gpucluster24rv3") +_CLUSTER_VM_SIZE = config_dict.get("CLUSTER_VM_SIZE", "Standard_NC24rs_v3") +_CLUSTER_MIN_NODES = int(config_dict.get("CLUSTER_MIN_NODES", 0)) +_CLUSTER_MAX_NODES = int(config_dict.get("CLUSTER_MAX_NODES", 2)) +_WORKSPACE = config_dict.get("WORKSPACE", "workspace") +_RESOURCE_GROUP = config_dict.get("RESOURCE_GROUP", "amlccrg") +_SUBSCRIPTION_ID = config_dict.get("SUBSCRIPTION_ID", None) +_REGION = config_dict.get("REGION", "eastus") +_DEPENDENCIES_FILE = config_dict.get( + "DEPENDENCIES_FILE", "../../experiment/src/environment_gpu.yml" +) +_DATASTORE_NAME = config_dict.get("DATASTORE_NAME", "datastore") +_CONTAINER_NAME = config_dict.get("CONTAINER_NAME", "container") +_ACCOUNT_NAME = config_dict.get("ACCOUNT_NAME", None) +_ACCOUNT_KEY = config_dict.get("ACCOUNT_KEY", None) + + +def _create_cluster( + workspace, + cluster_name=_CLUSTER_NAME, + vm_size=_CLUSTER_VM_SIZE, + min_nodes=_CLUSTER_MIN_NODES, + max_nodes=_CLUSTER_MAX_NODES, +): + logger = logging.getLogger(__name__) + try: + compute_target = ComputeTarget(workspace=workspace, name=cluster_name) + logger.info("Found existing compute target.") + except ComputeTargetException: + logger.info("Creating a new compute target...") + compute_config = AmlCompute.provisioning_configuration( + vm_size=vm_size, min_nodes=min_nodes, max_nodes=max_nodes + ) + + # create the cluster + compute_target = ComputeTarget.create(workspace, cluster_name, compute_config) + compute_target.wait_for_completion(show_output=True) + + # use get_status() to get a detailed status for the current AmlCompute. + logger.debug(compute_target.get_status().serialize()) + + return compute_target + + +def _prepare_environment_definition(dependencies_file, distributed): + logger = logging.getLogger(__name__) + env_def = EnvironmentDefinition() + conda_dep = CondaDependencies(conda_dependencies_file_path=dependencies_file) + env_def.python.user_managed_dependencies = False + env_def.python.conda_dependencies = conda_dep + env_def.docker.enabled = True + env_def.docker.gpu_support = True + env_def.docker.base_image = azureml.core.runconfig.DEFAULT_GPU_IMAGE + env_def.docker.shm_size = "8g" + env_def.environment_variables["NCCL_SOCKET_IFNAME"] = "eth0" + env_def.environment_variables["NCCL_IB_DISABLE"] = 1 + + if distributed: + env_def.environment_variables["DISTRIBUTED"] = "True" + else: + env_def.environment_variables["DISTRIBUTED"] = "False" + logger.info("Adding runtime argument") + # Adds runtime argument since we aliased nvidia-docker to docker in order to be able to run them as + # sibling containers. Without this we will get CUDA library errors + env_def.docker.arguments.extend(["--runtime", "nvidia"]) + + return env_def + + +@curry +def _create_estimator( + estimator_class, + dependencies_file, + project_folder, + entry_script, + compute_target, + script_params, + node_count=_CLUSTER_MAX_NODES, + process_count_per_node=4, + docker_args=(), +): + logger = logging.getLogger(__name__) + logger.debug(f"Loading dependencies from {dependencies_file}") + + # If the compute target is "local" then don't run distributed + distributed = not (isinstance(compute_target, str) and compute_target == "local") + env_def = _prepare_environment_definition(dependencies_file, distributed) + env_def.docker.arguments.extend(list(docker_args)) + + estimator = estimator_class( + project_folder, + entry_script=entry_script, + compute_target=compute_target, + script_params=script_params, + node_count=node_count, + process_count_per_node=process_count_per_node, + distributed_backend="mpi" if distributed else None, + environment_definition=env_def, + ) + + logger.debug(estimator.conda_dependencies.__dict__) + return estimator + + +def _create_datastore( + aml_workspace, + datastore_name, + container_name, + account_name, + account_key, + create_if_not_exists=True, +): + ds = Datastore.register_azure_blob_container( + workspace=aml_workspace, + datastore_name=datastore_name, + container_name=container_name, + account_name=account_name, + account_key=account_key, + create_if_not_exists=create_if_not_exists, + ) + return ds + + +class ExperimentCLI(object): + def __init__( + self, + experiment_name, + workspace_name=_WORKSPACE, + resource_group=_RESOURCE_GROUP, + subscription_id=_SUBSCRIPTION_ID, + workspace_region=_REGION, + config_path=_DEFAULT_AML_PATH, + ): + + self._logger = logging.getLogger(__name__) + self._logger.info("SDK version:" + str(azureml.core.VERSION)) + self._ws = workspace_for_user( + workspace_name=workspace_name, + resource_group=resource_group, + subscription_id=subscription_id, + workspace_region=workspace_region, + config_path=config_path, + ).aml_workspace + self._experiment = core.Experiment(self._ws, name=experiment_name) + self._cluster = None + self._datastore = None + + def create_cluster( + self, + name=_CLUSTER_NAME, + vm_size=_CLUSTER_VM_SIZE, + min_nodes=_CLUSTER_MIN_NODES, + max_nodes=_CLUSTER_MAX_NODES, + ): + """Creates AzureML cluster + + Args: + name (string, optional): The name you wish to assign the cluster. + Defaults to _CLUSTER_NAME. + vm_size (string, optional): The type of sku to use for your vm. + Defaults to _CLUSTER_VM_SIZE. + min_nodes (int, optional): Minimum number of nodes in cluster. + Use 0 if you don't want to incur costs when it isn't being used. + Defaults to _CLUSTER_MIN_NODES. + max_nodes (int, optional): Maximum number of nodes in cluster. + Defaults to _CLUSTER_MAX_NODES. + + Returns: + ExperimentCLI: Experiment object + """ + self._cluster = _create_cluster( + self._ws, + cluster_name=name, + vm_size=vm_size, + min_nodes=min_nodes, + max_nodes=max_nodes, + ) + return self + + def create_datastore( + self, + datastore_name=_DATASTORE_NAME, + container_name=_CONTAINER_NAME, + account_name=_ACCOUNT_NAME, + account_key=_ACCOUNT_KEY, + ): + """Creates datastore + + Args: + datastore_name (string, optional): Name you wish to assign to your datastore. Defaults to _DATASTORE_NAME. + container_name (string, optional): Name of your container. Defaults to _CONTAINER_NAME. + account_name (string, optional): Storage account name. Defaults to _ACCOUNT_NAME. + account_key (string, optional): The storage account key. Defaults to _ACCOUNT_KEY. + + Returns: + ExperimentCLI: Experiment object + """ + assert account_name is not None, "Account name for Datastore not set" + assert account_key is not None, "Account key for Datastore not set" + + self._datastore = _create_datastore( + self._ws, + datastore_name=datastore_name, + container_name=container_name, + account_name=account_name, + account_key=account_key, + ) + return self + + @property + def cluster(self): + if self._cluster is None: + self.create_cluster() + return self._cluster + + @property + def datastore(self): + if self._datastore is None: + self.create_datastore() + return self._datastore + + +def _has_key(input_dict, key): + for v in input_dict.values: + if key in v: + return True + return False + + +def _fill_param_with(input_dict, parameters_dict): + return {key: value.format(**parameters_dict) for key, value in input_dict.items()} + + +class TFExperimentCLI(ExperimentCLI): + """Creates Experiment object that can be used to create clusters and submit experiments + + Returns: + TFExperimentCLI: Experiment object + """ + + def submit_local( + self, + project_folder, + entry_script, + script_params, + dependencies_file=_DEPENDENCIES_FILE, + wait_for_completion=True, + docker_args=(), + ): + """Submit experiment for local execution + + Args: + project_folder (string): Path of you source files for the experiment + entry_script (string): The filename of your script to run. Must be found in your project_folder + script_params (dict): Dictionary of script parameters + dependencies_file (string, optional): The location of your environment.yml to use to create the + environment your training script requires. + Defaults to _DEPENDENCIES_FILE. + wait_for_completion (bool, optional): Whether to block until experiment is done. Defaults to True. + docker_args (tuple, optional): Docker arguments to pass. Defaults to (). + """ + self._logger.info("Running in local mode") + self._submit( + dependencies_file, + project_folder, + entry_script, + "local", + script_params, + 1, + 1, + docker_args, + wait_for_completion, + ) + + def submit( + self, + project_folder, + entry_script, + script_params, + dependencies_file=_DEPENDENCIES_FILE, + node_count=_CLUSTER_MAX_NODES, + process_count_per_node=4, + wait_for_completion=True, + docker_args=(), + ): + """Submit experiment for remote execution on AzureML clusters + + Args: + project_folder (string): Path of you source files for the experiment + entry_script (string): The filename of your script to run. Must be found in your project_folder + script_params (dict): Dictionary of script parameters + dependencies_file (string, optional): The location of your environment.yml to use to + create the environment your training script requires. + Defaults to _DEPENDENCIES_FILE. + node_count (int, optional): [description]. Defaults to _CLUSTER_MAX_NODES. + process_count_per_node (int, optional): Number of precesses to run on each node. + Usually should be the same as the number of GPU for GPU exeuction. + Defaults to 4. + wait_for_completion (bool, optional): Whether to block until experiment is done. Defaults to True. + docker_args (tuple, optional): Docker arguments to pass. Defaults to (). + + Returns: + azureml.core.Run: AzureML Run object + """ + self._logger.debug(script_params) + + transformed_params = self._complete_datastore(script_params) + self._logger.debug("Transformed script params") + self._logger.debug(transformed_params) + + return self._submit( + dependencies_file, + project_folder, + entry_script, + self.cluster, + transformed_params, + node_count, + process_count_per_node, + docker_args, + wait_for_completion, + ) + + def _submit( + self, + dependencies_file, + project_folder, + entry_script, + cluster, + script_params, + node_count, + process_count_per_node, + docker_args, + wait_for_completion, + ): + self._logger.debug(script_params) + estimator = _create_estimator( + TensorFlow, + dependencies_file, + project_folder, + entry_script, + cluster, + script_params, + node_count=node_count, + process_count_per_node=process_count_per_node, + docker_args=docker_args, + ) + # TEMPORARY HACK: Bugs with AML necessitate the code below, once fixed remove + estimator.conda_dependencies.remove_pip_package("horovod==0.15.2") + estimator.conda_dependencies.remove_pip_package( + "tensorflow==" + TENSORFLOW_DEFAULT_VERSION + ) + estimator.conda_dependencies.add_pip_package("tensorflow-gpu==1.12.0") + estimator.conda_dependencies.add_pip_package("horovod==0.15.2") + + self._logger.debug(estimator.conda_dependencies.__dict__) + run = self._experiment.submit(estimator) + if wait_for_completion: + run.wait_for_completion(show_output=True) + return run + + def _complete_datastore(self, script_params): + def _replace(value): + if isinstance(value, str) and "{datastore}" in value: + data_path = value.replace("{datastore}/", "") + return self.datastore.path(data_path).as_mount() + else: + return value + + return {key: _replace(value) for key, value in script_params.items()} + + +def workspace_for_user( + workspace_name=_WORKSPACE, + resource_group=_RESOURCE_GROUP, + subscription_id=_SUBSCRIPTION_ID, + workspace_region=_REGION, + config_path=_DEFAULT_AML_PATH, +): + """ Creates or gets amltoolz.Workspace instance which represents an AML Workspace. + + Args: + workspace_name (str): Name of workspace + resource_group (str): Name of Azure Resource group + subscription_id (str): Azure Subscription ID + workspace_region (str): Azure region to create resources in + config_path (str): Path to save AML config to + + Returns: + amltoolz.Workspace: Either a new workspace created or gets one as identified by name, region and resource group + """ + return Workspace( + workspace_name=workspace_name, + resource_group=resource_group, + subscription_id=subscription_id, + workspace_region=workspace_region, + config_path=config_path, + ) + + +def tensorboard(runs): + """ Returns Tensorboard object instantiated with one or more runs + + You can start Tensorboard session by calling start on Tensorboard object + To stop simply call stop on same object + Args: + runs (azureml.core.script_run.ScriptRun or list): + + Returns: + azureml.tensorboard.Tensorboard + + Examples: + >>> tb = tensorboard(runs) + >>> tb.start() # Start Tensorboard + >>> tb.stop() # Stop Tensorboard + """ + logger = logging.getLogger(__name__) + logger.info(f"Starting tensorboard {pformat(runs)}") + if isinstance(runs, list): + return Tensorboard(runs) + else: + return Tensorboard([runs]) + + +def _start_and_wait(tb): + logger = logging.getLogger(__name__) + try: + tb.start() + while True: + sleep(10) + except KeyboardInterrupt: + logger.info("Exiting Tensorboard") + finally: + tb.stop() + + +def _select_runs(experiment, runs=None, status=("Running",)): + logger = logging.getLogger(__name__) + try: + if runs: + selected_runs = [experiment.runs[run].aml_run for run in runs] + else: + selected_runs = [ + run.aml_run for run in experiment.runs if run.aml_run.status in status + ] + if len(selected_runs) == 0: + logger.warn("No runs found") + return selected_runs + except KeyError as e: + logger.warn(f"Did not find run!") + raise e + + +def tensorboard_cli(experiment, runs=None, status=("Running",)): + logger = logging.getLogger(__name__) + ws = workspace_for_user() + ws.experiments.refresh() + try: + exp_obj = ws.experiments[experiment] + exp_obj.runs.refresh() + runs = _select_runs(exp_obj, runs=runs, status=status) + logger.debug(pformat(runs)) + pipe(runs, tensorboard, _start_and_wait) + + except KeyError: + logger.warn(f"Did not find experiment {experiment}!") + logger.warn("Your experiments are:") + for exp in ws.experiments: + logger.warn(f"{exp}") + + +if __name__ == "__main__": + """ Access workspace and run TensorFlow experiments + """ + fire.Fire( + { + "workspace": workspace_for_user, + "tf-experiment": TFExperimentCLI, + "tensorboard": tensorboard_cli, + } + ) + diff --git a/{{cookiecutter.project_name}}/control/src/config.py b/{{cookiecutter.project_name}}/control/src/config.py new file mode 100644 index 0000000..f7aae63 --- /dev/null +++ b/{{cookiecutter.project_name}}/control/src/config.py @@ -0,0 +1,16 @@ +import logging +from dotenv import find_dotenv, dotenv_values + + +def load_config(): + """ Load the variables from the .env file + + Returns: + .env variables(dict) + + """ + logger = logging.getLogger(__name__) + dot_env_path = find_dotenv(raise_error_if_not_found=True) + logger.info(f"Found config in {dot_env_path}") + return dotenv_values(dot_env_path) + diff --git a/{{cookiecutter.project_name}}/control/src/logging.conf b/{{cookiecutter.project_name}}/control/src/logging.conf new file mode 100644 index 0000000..d81ce21 --- /dev/null +++ b/{{cookiecutter.project_name}}/control/src/logging.conf @@ -0,0 +1,34 @@ +[loggers] +keys=root,__main__,aml_compute + +[handlers] +keys=consoleHandler + +[formatters] +keys=simpleFormatter + +[logger_root] +level=INFO +handlers=consoleHandler + +[logger_aml_compute] +level=INFO +handlers=consoleHandler +qualname=aml_compute +propagate=0 + +[logger___main__] +level=INFO +handlers=consoleHandler +qualname=__main__ +propagate=0 + +[handler_consoleHandler] +class=StreamHandler +level=INFO +formatter=simpleFormatter +args=(sys.stdout,) + +[formatter_simpleFormatter] +format=%(asctime)s - %(name)s - %(levelname)s - %(message)s + diff --git a/{{cookiecutter.project_name}}/scripts/convert_imagenet_to_tf_records.py b/{{cookiecutter.project_name}}/scripts/convert_imagenet_to_tf_records.py new file mode 100644 index 0000000..d2653c2 --- /dev/null +++ b/{{cookiecutter.project_name}}/scripts/convert_imagenet_to_tf_records.py @@ -0,0 +1,533 @@ +#!/usr/bin/python +# Modified from https://github.com/tensorflow/models/blob/master/research/inception/inception/data/build_imagenet_data.py +# +# Copyright 2016 Google Inc. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +"""Converts image data to TFRecords file format with Example protos. + +The image data set is expected to reside in JPEG files located in the +following directory structure. + + data_dir/label_0/image0.jpeg + data_dir/label_0/image1.jpg + ... + data_dir/label_1/weird-image.jpeg + data_dir/label_1/my-image.jpeg + ... + +where the sub-directory is the unique label associated with these images. + +This TensorFlow script converts the training and evaluation data into +a sharded data set consisting of TFRecord files + + train_directory/train-00000-of-01024 + train_directory/train-00001-of-01024 + ... + train_directory/train-01023-of-01024 + +and + + validation_directory/validation-00000-of-00128 + validation_directory/validation-00001-of-00128 + ... + validation_directory/validation-00127-of-00128 + +where we have selected 1024 and 128 shards for each data set. Each record +within the TFRecord file is a serialized Example proto. The Example proto +contains the following fields: + + image/encoded: string containing JPEG encoded image in RGB colorspace + image/height: integer, image height in pixels + image/width: integer, image width in pixels + image/colorspace: string, specifying the colorspace, always 'RGB' + image/channels: integer, specifying the number of channels, always 3 + image/format: string, specifying the format, always 'JPEG' + + image/filename: string containing the basename of the image file + e.g. 'n01440764_10026.JPEG' or 'ILSVRC2012_val_00000293.JPEG' + image/class/label: integer specifying the index in a classification layer. + The label ranges from [0, num_labels] where 0 is unused and left as + the background class. + image/class/text: string specifying the human-readable version of the label + e.g. 'dog' +""" + +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +import glob +import json +from datetime import datetime +import os +import random +import sys +import threading +from pathlib import Path + +import fire +import numpy as np +import tensorflow as tf + +_NUM_THREADS = 2 + + +# The labels file contains a list of valid labels are held in this file. +# Assumes that the file contains entries as such: +# dog +# cat +# flower +# where each line corresponds to a label. We map each label contained in +# the file to an integer corresponding to the line number starting from 0. +tf.app.flags.DEFINE_string("labels_file", "", "Labels file") + +FLAGS = tf.app.flags.FLAGS + + +def _int64_feature(value): + """Wrapper for inserting int64 features into Example proto.""" + if not isinstance(value, list): + value = [value] + return tf.train.Feature(int64_list=tf.train.Int64List(value=value)) + + +def _bytes_feature(value): + """Wrapper for inserting bytes features into Example proto.""" + return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value])) + + +def _convert_to_example(filename, image_buffer, label, text, height, width): + """Build an Example proto for an example. + + Args: + filename: string, path to an image file, e.g., '/path/to/example.JPG' + image_buffer: string, JPEG encoding of RGB image + label: integer, identifier for the ground truth for the network + text: string, unique human-readable, e.g. 'dog' + height: integer, image height in pixels + width: integer, image width in pixels + Returns: + Example proto + """ + + colorspace = "RGB" + channels = 3 + image_format = "JPEG" + + example = tf.train.Example( + features=tf.train.Features( + feature={ + "image/height": _int64_feature(height), + "image/width": _int64_feature(width), + "image/colorspace": _bytes_feature(tf.compat.as_bytes(colorspace)), + "image/channels": _int64_feature(channels), + "image/class/label": _int64_feature(label), + "image/class/text": _bytes_feature(tf.compat.as_bytes(text)), + "image/format": _bytes_feature(tf.compat.as_bytes(image_format)), + "image/filename": _bytes_feature( + tf.compat.as_bytes(os.path.basename(filename)) + ), + "image/encoded": _bytes_feature(tf.compat.as_bytes(image_buffer)), + } + ) + ) + return example + + +class ImageCoder(object): + """Helper class that provides TensorFlow image coding utilities.""" + + def __init__(self): + # Create a single Session to run all image coding calls. + self._sess = tf.Session() + + # Initializes function that converts PNG to JPEG data. + self._png_data = tf.placeholder(dtype=tf.string) + image = tf.image.decode_png(self._png_data, channels=3) + self._png_to_jpeg = tf.image.encode_jpeg(image, format="rgb", quality=100) + + # Initializes function that converts CMYK JPEG data to RGB JPEG data. + self._cmyk_data = tf.placeholder(dtype=tf.string) + image = tf.image.decode_jpeg(self._cmyk_data, channels=0) + self._cmyk_to_rgb = tf.image.encode_jpeg(image, format="rgb", quality=100) + + # Initializes function that decodes RGB JPEG data. + self._decode_jpeg_data = tf.placeholder(dtype=tf.string) + self._decode_jpeg = tf.image.decode_jpeg(self._decode_jpeg_data, channels=3) + + def png_to_jpeg(self, image_data): + return self._sess.run(self._png_to_jpeg, feed_dict={self._png_data: image_data}) + + def cmyk_to_rgb(self, image_data): + return self._sess.run( + self._cmyk_to_rgb, feed_dict={self._cmyk_data: image_data} + ) + + def decode_jpeg(self, image_data): + image = self._sess.run( + self._decode_jpeg, feed_dict={self._decode_jpeg_data: image_data} + ) + assert len(image.shape) == 3 + assert image.shape[2] == 3 + return image + + +def _is_png(filename): + """Determine if a file contains a PNG format image. + Args: + filename: string, path of the image file. + Returns: + boolean indicating if the image is a PNG. + """ + # File list from: + # https://groups.google.com/forum/embed/?place=forum/torch7#!topic/torch7/fOSTXHIESSU + # https: // da - data.blogspot.com / 2016 / 02 / cleaning - imagenet - dataset - collected.html + return "n02105855_2933.JPEG" in filename + + +def _is_cmyk(filename): + """Determine if file contains a CMYK JPEG format image. + Args: + filename: string, path of the image file. + Returns: + boolean indicating if the image is a JPEG encoded with CMYK color space. + """ + # File list from: + # https://github.com/cytsai/ilsvrc-cmyk-image-list + # https: // da - data.blogspot.com / 2016 / 02 / cleaning - imagenet - dataset - collected.html + blacklist = [ + "n01739381_1309.JPEG", + "n02077923_14822.JPEG", + "n02447366_23489.JPEG", + "n02492035_15739.JPEG", + "n02747177_10752.JPEG", + "n03018349_4028.JPEG", + "n03062245_4620.JPEG", + "n03347037_9675.JPEG", + "n03467068_12171.JPEG", + "n03529860_11437.JPEG", + "n03544143_17228.JPEG", + "n03633091_5218.JPEG", + "n03710637_5125.JPEG", + "n03961711_5286.JPEG", + "n04033995_2932.JPEG", + "n04258138_17003.JPEG", + "n04264628_27969.JPEG", + "n04336792_7448.JPEG", + "n04371774_5854.JPEG", + "n04596742_4225.JPEG", + "n07583066_647.JPEG", + "n13037406_4650.JPEG", + ] + return filename.split("/")[-1] in blacklist + + +def _process_image(filename, coder): + """Process a single image file. + Args: + filename: string, path to an image file e.g., '/path/to/example.JPG'. + coder: instance of ImageCoder to provide TensorFlow image coding utils. + Returns: + image_buffer: string, JPEG encoding of RGB image. + height: integer, image height in pixels. + width: integer, image width in pixels. + + Notes: + See https://da-data.blogspot.com/2016/02/cleaning-imagenet-dataset-collected.html + for blacklisted items in ImageNet dataset + """ + # Read the image file. + with tf.gfile.FastGFile(filename, "rb") as f: + image_data = f.read() + + # Clean the dirty data. + if _is_png(filename): + # 1 image is a PNG. + print("Converting PNG to JPEG for %s" % filename) + image_data = coder.png_to_jpeg(image_data) + elif _is_cmyk(filename): + # 22 JPEG images are in CMYK colorspace. + print("Converting CMYK to RGB for %s" % filename) + image_data = coder.cmyk_to_rgb(image_data) + + # Decode the RGB JPEG. + image = coder.decode_jpeg(image_data) + + # Check that image converted to RGB + assert len(image.shape) == 3 + height = image.shape[0] + width = image.shape[1] + assert image.shape[2] == 3 + + return image_data, height, width + + +def _process_image_files_batch( + coder, + thread_index, + ranges, + name, + filenames, + texts, + labels, + num_shards, + output_directory, +): + """Processes and saves list of images as TFRecord in 1 thread. + + Args: + coder: instance of ImageCoder to provide TensorFlow image coding utils. + thread_index: integer, unique batch to run index is within [0, len(ranges)). + ranges: list of pairs of integers specifying ranges of each batches to + analyze in parallel. + name: string, unique identifier specifying the data set + filenames: list of strings; each string is a path to an image file + texts: list of strings; each string is human readable, e.g. 'dog' + labels: list of integer; each integer identifies the ground truth + num_shards: integer number of shards for this data set. + """ + # Each thread produces N shards where N = int(num_shards / num_threads). + # For instance, if num_shards = 128, and the num_threads = 2, then the first + # thread would produce shards [0, 64). + num_threads = len(ranges) + assert not num_shards % num_threads + num_shards_per_batch = int(num_shards / num_threads) + + shard_ranges = np.linspace( + ranges[thread_index][0], ranges[thread_index][1], num_shards_per_batch + 1 + ).astype(int) + num_files_in_thread = ranges[thread_index][1] - ranges[thread_index][0] + + counter = 0 + for s in range(num_shards_per_batch): + # Generate a sharded version of the file name, e.g. 'train-00002-of-00010' + shard = thread_index * num_shards_per_batch + s + output_filename = "%s-%.5d-of-%.5d" % (name, shard, num_shards) + output_file = os.path.join(output_directory, output_filename) + writer = tf.python_io.TFRecordWriter(output_file) + + shard_counter = 0 + files_in_shard = np.arange(shard_ranges[s], shard_ranges[s + 1], dtype=int) + for i in files_in_shard: + filename = filenames[i] + label = labels[i] + text = texts[i] + + try: + image_buffer, height, width = _process_image(filename, coder) + except Exception as e: + print(e) + print("SKIPPED: Unexpected error while decoding %s." % filename) + continue + + example = _convert_to_example( + filename, image_buffer, label, text, height, width + ) + writer.write(example.SerializeToString()) + shard_counter += 1 + counter += 1 + + if not counter % 1000: + print( + "%s [thread %d]: Processed %d of %d images in thread batch." + % (datetime.now(), thread_index, counter, num_files_in_thread) + ) + sys.stdout.flush() + + writer.close() + print( + "%s [thread %d]: Wrote %d images to %s" + % (datetime.now(), thread_index, shard_counter, output_file) + ) + sys.stdout.flush() + shard_counter = 0 + print( + "%s [thread %d]: Wrote %d images to %d shards." + % (datetime.now(), thread_index, counter, num_files_in_thread) + ) + sys.stdout.flush() + + +def _process_image_files(name, filenames, texts, labels, num_shards, output_directory): + """Process and save list of images as TFRecord of Example protos. + + Args: + name: string, unique identifier specifying the data set + filenames: list of strings; each string is a path to an image file + texts: list of strings; each string is human readable, e.g. 'dog' + labels: list of integer; each integer identifies the ground truth + num_shards: integer number of shards for this data set. + """ + assert len(filenames) == len(texts) + assert len(filenames) == len(labels) + num_threads = 2 + # Break all images into batches with a [ranges[i][0], ranges[i][1]]. + spacing = np.linspace(0, len(filenames), num_threads + 1).astype(np.int) + ranges = [] + for i in range(len(spacing) - 1): + ranges.append([spacing[i], spacing[i + 1]]) + + # Launch a thread for each batch. + print("Launching %d threads for spacings: %s" % (num_threads, ranges)) + sys.stdout.flush() + + # Create a mechanism for monitoring when all threads are finished. + coord = tf.train.Coordinator() + + # Create a generic TensorFlow-based utility for converting all image codings. + coder = ImageCoder() + + threads = [] + for thread_index in range(len(ranges)): + args = ( + coder, + thread_index, + ranges, + name, + filenames, + texts, + labels, + num_shards, + output_directory, + ) + t = threading.Thread(target=_process_image_files_batch, args=args) + t.start() + threads.append(t) + + # Wait for all the threads to terminate. + coord.join(threads) + print( + "%s: Finished writing all %d images in data set." + % (datetime.now(), len(filenames)) + ) + sys.stdout.flush() + + +def _find_image_files(data_dir, labels_file): + """Build a list of all images files and labels in the data set. + + Args: + data_dir: string, path to the root directory of images. + + Assumes that the image data set resides in JPEG files located in + the following directory structure. + + data_dir/dog/another-image.JPEG + data_dir/dog/my-image.jpg + + where 'dog' is the label associated with these images. + + labels_file: string, path to the labels file. + + The list of valid labels are held in this file. Assumes that the file + contains entries as such: + dog + cat + flower + where each line corresponds to a label. We map each label contained in + the file to an integer starting with the integer 0 corresponding to the + label contained in the first line. + + Returns: + filenames: list of strings; each string is a path to an image file. + texts: list of strings; each string is the class, e.g. 'dog' + labels: list of integer; each integer identifies the ground truth. + """ + print("Determining list of input files and labels from %s." % data_dir) + + with open(labels_file) as f: + labels_dict = json.load(f) + + lookup = { + value[0]: {"noun": value[1], "label": int(key)} + for key, value in labels_dict.items() + } + + labels = [] + filenames = [] + texts = [] + + # Construct the list of JPEG files and labels. + path = Path(data_dir) + for id, values in lookup.items(): + matching_files = glob.glob(str(path / f"{id}" / "*.JPEG")) + noun = values["noun"] + label = values["label"] + labels.extend([label] * len(matching_files)) + texts.extend([noun] * len(matching_files)) + filenames.extend(matching_files) + + print(f"Found {len(matching_files)} for {id}:{label}:{noun}") + print(f"Total {len(filenames)}") + + # Shuffle the ordering of all image files in order to guarantee + # random ordering of the images with respect to label in the + # saved TFRecord files. Make the randomization repeatable. + shuffled_index = list(range(len(filenames))) + random.seed(42) + random.shuffle(shuffled_index) + + filenames = [filenames[i] for i in shuffled_index] + texts = [texts[i] for i in shuffled_index] + labels = [labels[i] for i in shuffled_index] + + print( + "Found %d JPEG files across %d labels inside %s." + % (len(filenames), len(lookup.keys()), data_dir) + ) + return filenames, texts, labels + + +def _process_dataset(name, directory, num_shards, labels_file, output_directory): + """Process a complete data set and save it as a TFRecord. + + Args: + name: string, unique identifier specifying the data set. + directory: string, root path to the data set. + num_shards: integer number of shards for this data set. + labels_file: string, path to the labels file. + """ + os.makedirs(output_directory, exist_ok=True) + filenames, texts, labels = _find_image_files(directory, labels_file) + _process_image_files(name, filenames, texts, labels, num_shards, output_directory) + + +def main( + train_path, + validation_path, + output_directory, + class_index_file, + train_shards=1014, + validation_shards=128, +): + os.makedirs(output_directory, exist_ok=True) + _process_dataset( + "validation", + validation_path, + validation_shards, + class_index_file, + os.path.join(output_directory, "validation"), + ) + _process_dataset( + "train", + train_path, + train_shards, + class_index_file, + os.path.join(output_directory, "train"), + ) + + +if __name__ == "__main__": + fire.Fire(main) diff --git a/{{cookiecutter.project_name}}/scripts/image.py b/{{cookiecutter.project_name}}/scripts/image.py new file mode 100644 index 0000000..975b732 --- /dev/null +++ b/{{cookiecutter.project_name}}/scripts/image.py @@ -0,0 +1,104 @@ +from invoke import task +from storage import create_container +from config import load_config +import logging + + +def upload_data_from_to( + c, remote_path, local_path, container_name, account_name, account_key +): + cmd = ( + f"azcopy --source {local_path} --destination https://{account_name}.blob.core.windows.net/{container_name}/{remote_path} " + f"--dest-key {account_key} --quiet --recursive --exclude-older" + ) + c.run(cmd, pty=True) + + +@task(pre=[create_container]) +def upload_training_data(c): + """Upload training data to container specified in .env file + """ + env_values = load_config() + container_name = env_values.get("CONTAINER_NAME") + account_name = env_values.get("ACCOUNT_NAME") + account_key = env_values.get("ACCOUNT_KEY") + upload_data_from_to( + c, "train", "/data/train", container_name, account_name, account_key + ) + + +@task(pre=[create_container]) +def upload_validation_data(c): + """Upload validation data to container specified in .env file + """ + env_values = load_config() + container_name = env_values.get("CONTAINER_NAME") + account_name = env_values.get("ACCOUNT_NAME") + account_key = env_values.get("ACCOUNT_KEY") + upload_data_from_to( + c, "validation", "/data/validation", container_name, account_name, account_key + ) + + +@task(pre=[upload_training_data, upload_validation_data]) +def upload_data(c): + """Upload training and validation data to container specified in .env file + """ + print("Data uploaded") + + +def download_data_from_to( + c, remote_path, local_path, container_name, account_name, account_key +): + cmd = ( + f"azcopy --source https://{account_name}.blob.core.windows.net/{container_name}/{remote_path} --destination {local_path} " + f"--source-key {account_key} --quiet --recursive --exclude-older" + ) + c.run(cmd, pty=True) + + +@task +def download_training(c): + """Download training data from blob container specified in .env file + """ + env_values = load_config() + container_name = env_values.get("CONTAINER_NAME") + account_name = env_values.get("ACCOUNT_NAME") + account_key = env_values.get("ACCOUNT_KEY") + download_data_from_to( + c, "train", "/data/train", container_name, account_name, account_key + ) + + +@task +def download_validation(c): + """Download validation data from blob container specified in .env file + """ + env_values = load_config() + container_name = env_values.get("CONTAINER_NAME") + account_name = env_values.get("ACCOUNT_NAME") + account_key = env_values.get("ACCOUNT_KEY") + download_data_from_to( + c, "validation", "/data/validation", container_name, account_name, account_key + ) + + +@task(pre=[download_training, download_validation]) +def download_data(c): + """Download training and validation data from blob container specified in .env file + """ + print("Data downloaded") + + +@task +def prepare_imagenet(c, download_dir="/data", target_dir="/data"): + """Prepare imagenet data found in download_dir and push results to target_dir + + Args: + download_dir (str, optional): Location where imagenet tar file should be found. Defaults to "/data". + target_dir (str, optional): Location where to copy uncompressed imagenet data to. Defaults to "/data". + """ + from prepare_imagenet import main as prepare_imagenet_data + logger = logging.getLogger(__name__) + prepare_imagenet_data(download_dir, target_dir, checksum=False) + logger.info("Data preparation complete") diff --git a/{{cookiecutter.project_name}}/scripts/imagenet_class_index.json b/{{cookiecutter.project_name}}/scripts/imagenet_class_index.json new file mode 100644 index 0000000..c5d4262 --- /dev/null +++ b/{{cookiecutter.project_name}}/scripts/imagenet_class_index.json @@ -0,0 +1,4002 @@ +{ + "0": [ + "n01440764", + "tench" + ], + "1": [ + "n01443537", + "goldfish" + ], + "2": [ + "n01484850", + "great_white_shark" + ], + "3": [ + "n01491361", + "tiger_shark" + ], + "4": [ + "n01494475", + "hammerhead" + ], + "5": [ + "n01496331", + "electric_ray" + ], + "6": [ + "n01498041", + "stingray" + ], + "7": [ + "n01514668", + "cock" + ], + "8": [ + "n01514859", + "hen" + ], + "9": [ + "n01518878", + "ostrich" + ], + "10": [ + "n01530575", + "brambling" + ], + "11": [ + "n01531178", + "goldfinch" + ], + "12": [ + "n01532829", + "house_finch" + ], + "13": [ + "n01534433", + "junco" + ], + "14": [ + "n01537544", + "indigo_bunting" + ], + "15": [ + "n01558993", + "robin" + ], + "16": [ + "n01560419", + "bulbul" + ], + "17": [ + "n01580077", + "jay" + ], + "18": [ + "n01582220", + "magpie" + ], + "19": [ + "n01592084", + "chickadee" + ], + "20": [ + "n01601694", + "water_ouzel" + ], + "21": [ + "n01608432", + "kite" + ], + "22": [ + "n01614925", + "bald_eagle" + ], + "23": [ + "n01616318", + "vulture" + ], + "24": [ + "n01622779", + "great_grey_owl" + ], + "25": [ + "n01629819", + "European_fire_salamander" + ], + "26": [ + "n01630670", + "common_newt" + ], + "27": [ + "n01631663", + "eft" + ], + "28": [ + "n01632458", + "spotted_salamander" + ], + "29": [ + "n01632777", + "axolotl" + ], + "30": [ + "n01641577", + "bullfrog" + ], + "31": [ + "n01644373", + "tree_frog" + ], + "32": [ + "n01644900", + "tailed_frog" + ], + "33": [ + "n01664065", + "loggerhead" + ], + "34": [ + "n01665541", + "leatherback_turtle" + ], + "35": [ + "n01667114", + "mud_turtle" + ], + "36": [ + "n01667778", + "terrapin" + ], + "37": [ + "n01669191", + "box_turtle" + ], + "38": [ + "n01675722", + "banded_gecko" + ], + "39": [ + "n01677366", + "common_iguana" + ], + "40": [ + "n01682714", + "American_chameleon" + ], + "41": [ + "n01685808", + "whiptail" + ], + "42": [ + "n01687978", + "agama" + ], + "43": [ + "n01688243", + "frilled_lizard" + ], + "44": [ + "n01689811", + "alligator_lizard" + ], + "45": [ + "n01692333", + "Gila_monster" + ], + "46": [ + "n01693334", + "green_lizard" + ], + "47": [ + "n01694178", + "African_chameleon" + ], + "48": [ + "n01695060", + "Komodo_dragon" + ], + "49": [ + "n01697457", + "African_crocodile" + ], + "50": [ + "n01698640", + "American_alligator" + ], + "51": [ + "n01704323", + "triceratops" + ], + "52": [ + "n01728572", + "thunder_snake" + ], + "53": [ + "n01728920", + "ringneck_snake" + ], + "54": [ + 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+n02442845,ILSVRC2012_val_00049992.JPEG +n04328186,ILSVRC2012_val_00049993.JPEG +n01871265,ILSVRC2012_val_00049994.JPEG +n03729826,ILSVRC2012_val_00049995.JPEG +n02123394,ILSVRC2012_val_00049996.JPEG +n01630670,ILSVRC2012_val_00049997.JPEG +n02106166,ILSVRC2012_val_00049998.JPEG +n10148035,ILSVRC2012_val_00049999.JPEG +n02437616,ILSVRC2012_val_00050000.JPEG diff --git a/{{cookiecutter.project_name}}/scripts/prepare_imagenet.py b/{{cookiecutter.project_name}}/scripts/prepare_imagenet.py new file mode 100644 index 0000000..42a2bd2 --- /dev/null +++ b/{{cookiecutter.project_name}}/scripts/prepare_imagenet.py @@ -0,0 +1,88 @@ +"""Prepare the ImageNet dataset""" + +import hashlib +import os +import tarfile + +import fire +import pandas as pd +from tqdm import tqdm +import logging + +_TRAIN_TAR = "ILSVRC2012_img_train.tar" +_TRAIN_TAR_SHA1 = "43eda4fe35c1705d6606a6a7a633bc965d194284" +_VAL_TAR = "ILSVRC2012_img_val.tar" +_VAL_TAR_SHA1 = "5f3f73da3395154b60528b2b2a2caf2374f5f178" + + +def _sha1(filename, blocksize=65536): + hash_sha1 = hashlib.sha1() + with open(filename, "rb") as f: + for chunk in iter(lambda: f.read(blocksize), b""): + hash_sha1.update(chunk) + return hash_sha1.hexdigest() + + +def check_sha1(filename, sha1_hash): + hash_digits = _sha1(filename) + return hash_digits == sha1_hash + + +def check_file(filename, checksum, sha1): + if not os.path.exists(filename): + raise ValueError("File not found: " + filename) + if checksum and not check_sha1(filename, sha1): + raise ValueError("Corrupted file: " + filename) + + +def _extract_train(tar_fname, target_dir): + logger = logging.getLogger(__name__) + os.makedirs(target_dir) + with tarfile.open(tar_fname) as tar: + logger.info("Extracting " + tar_fname + "...") + # extract each class one-by-one + pbar = tqdm(total=len(tar.getnames())) + for class_tar in tar: + pbar.set_description("Extract " + class_tar.name) + tar.extract(class_tar, target_dir) + class_fname = os.path.join(target_dir, class_tar.name) + class_dir = os.path.splitext(class_fname)[0] + os.mkdir(class_dir) + with tarfile.open(class_fname) as f: + f.extractall(class_dir) + os.remove(class_fname) + pbar.update(1) + pbar.close() + + +def _extract_val(tar_fname, target_dir): + logger = logging.getLogger(__name__) + os.makedirs(target_dir) + logger.info("Extracting " + tar_fname) + with tarfile.open(tar_fname) as tar: + tar.extractall(target_dir) + + # move images to proper subfolders + val_maps_file = os.path.join(os.path.dirname(__file__), "imagenet_val_maps.csv") + df = pd.read_csv(val_maps_file) + for d in df['class'].unique(): + os.makedirs(os.path.join(target_dir, d)) + for index, row in df.iterrows(): + os.rename(os.path.join(target_dir, row['filename']), os.path.join(target_dir, row['class'], row['filename'])) + + +def main(download_dir, target_dir, checksum=False): + target_dir = os.path.expanduser(target_dir) + download_dir = os.path.expanduser(download_dir) + train_tar_fname = os.path.join(download_dir, _TRAIN_TAR) + check_file(train_tar_fname, checksum, _TRAIN_TAR_SHA1) + val_tar_fname = os.path.join(download_dir, _VAL_TAR) + check_file(val_tar_fname, checksum, _VAL_TAR_SHA1) + + _extract_train(train_tar_fname, os.path.join(target_dir, "train")) + _extract_val(val_tar_fname, os.path.join(target_dir, "validation")) + + +if __name__ == "__main__": + logging.basicConfig(level=logging.INFO) + fire.Fire(main) diff --git a/{{cookiecutter.project_name}}/scripts/storage.py b/{{cookiecutter.project_name}}/scripts/storage.py new file mode 100644 index 0000000..6127cdb --- /dev/null +++ b/{{cookiecutter.project_name}}/scripts/storage.py @@ -0,0 +1,112 @@ +from invoke import task +from dotenv import set_key, find_dotenv +import json +from config import load_config +import logging + +env_values = load_config() + + +def _storage_exists(c, account_name): + cmd = f"az storage account check-name -n {account_name}" + + result = c.run(cmd) + json_payload = json.loads(result.stdout) + return not json_payload["nameAvailable"] + + +@task +def create_resource_group( + c, region=env_values.get("REGION"), resource_group=env_values.get("RESOURCE_GROUP") +): + logger = logging.getLogger(__name__) + logger.info(f"Creating resource group {resource_group}") + cmd = f"az group create --location {region} " f"--name {resource_group} " + c.run(cmd) + + +@task(pre=[create_resource_group]) +def create_premium_storage( + c, + region=env_values.get("REGION"), + account_name=env_values.get("ACCOUNT_NAME"), + resource_group=env_values.get("RESOURCE_GROUP"), +): + """Creates premium storage account. By default the values are loaded from the local .env file + + Args: + region (string, optional): The region in which to create the storage account. Defaults to env_values.get("REGION"). + account_name (string, optional): The storage account name to use. Defaults to env_values.get("ACCOUNT_NAME"). + resource_group (string, optional): The resource group to associate the storage account with. Defaults to env_values.get("RESOURCE_GROUP"). + """ + logger = logging.getLogger(__name__) + if _storage_exists(c, account_name): + logger.info(f"Storage {account_name} exists") + return None + + logger.info("Creating premium storage account") + cmd = ( + f"az storage account create --location {region} " + f"--name {account_name} " + f"--resource-group {resource_group} " + f"--kind BlockBlobStorage " + f"--sku Premium_LRS " + ) + c.run(cmd) + + +@task(pre=[create_premium_storage]) +def store_key(c): + """Retrieves premium storage account key from Azure and stores it in .env file + """ + logger = logging.getLogger(__name__) + account_name = env_values.get("ACCOUNT_NAME") + resource_group = env_values.get("RESOURCE_GROUP") + + if ( + "ACCOUNT_KEY" in env_values + and env_values["ACCOUNT_KEY"] + and len(env_values["ACCOUNT_KEY"]) > 0 + ): + logger.info(f"Account key already in env file") + return None + + cmd = f"az storage account keys list -n {account_name} -g {resource_group}" + result = c.run(cmd) + keys = json.loads(result.stdout) + env_file = find_dotenv(raise_error_if_not_found=True) + set_key(env_file, "ACCOUNT_KEY", keys[0]["value"]) + + +def _container_exists(c, container_name, account_name, account_key): + cmd = ( + f"az storage container exists" + f" --account-name {account_name}" + f" --account-key {account_key}" + f" --name {container_name}" + ) + result = c.run(cmd) + json_payload = json.loads(result.stdout) + return json_payload["exists"] + + +@task(pre=[store_key]) +def create_container(c): + """Creates container based on the parameters found in the .env file + """ + logger = logging.getLogger(__name__) + env_values = load_config() + container_name = env_values.get("CONTAINER_NAME") + account_name = env_values.get("ACCOUNT_NAME") + account_key = env_values.get("ACCOUNT_KEY") + if _container_exists(c, container_name, account_name, account_key): + logger.info(f"Container already exists") + return None + + cmd = ( + f"az storage container create" + f" --account-name {account_name}" + f" --account-key {account_key}" + f" --name {container_name}" + ) + c.run(cmd) diff --git a/{{cookiecutter.project_name}}/scripts/tfrecords.py b/{{cookiecutter.project_name}}/scripts/tfrecords.py new file mode 100644 index 0000000..b70dfca --- /dev/null +++ b/{{cookiecutter.project_name}}/scripts/tfrecords.py @@ -0,0 +1,127 @@ +from invoke import task +from storage import create_container +from image import upload_data_from_to, download_data_from_to +import os +from glob import glob +from config import load_config +import logging + + +_BASE_PATH = os.path.dirname(os.path.abspath(__file__)) + + +@task(pre=[create_container]) +def upload_training_data(c): + """Upload tfrecords training data to container specified in .env file + """ + env_values = load_config() + container_name = env_values.get("CONTAINER_NAME") + account_name = env_values.get("ACCOUNT_NAME") + account_key = env_values.get("ACCOUNT_KEY") + upload_data_from_to( + c, + "tfrecords/train", + "/data/tfrecords/train", + container_name, + account_name, + account_key, + ) + + +@task(pre=[create_container]) +def upload_validation_data(c): + """Upload tfrecords validation data to container specified in .env file + """ + env_values = load_config() + container_name = env_values.get("CONTAINER_NAME") + account_name = env_values.get("ACCOUNT_NAME") + account_key = env_values.get("ACCOUNT_KEY") + upload_data_from_to( + c, + "tfrecords/validation", + "/data/tfrecords/validation", + container_name, + account_name, + account_key, + ) + + +@task(pre=[upload_training_data, upload_validation_data]) +def upload_data(c): + """Upload tfrecords training and validation data to container specified in .env file + """ + print("Data uploaded") + + +@task +def download_training(c): + """Download tfrecords training data from blob container specified in .env file + """ + env_values = load_config() + container_name = env_values.get("CONTAINER_NAME") + account_name = env_values.get("ACCOUNT_NAME") + account_key = env_values.get("ACCOUNT_KEY") + download_data_from_to( + c, + "tfrecords/train", + "/data/tfrecords/train", + container_name, + account_name, + account_key, + ) + + +@task +def download_validation(c): + """Download tfrecords validation data from blob container specified in .env file + """ + env_values = load_config() + container_name = env_values.get("CONTAINER_NAME") + account_name = env_values.get("ACCOUNT_NAME") + account_key = env_values.get("ACCOUNT_KEY") + download_data_from_to( + c, + "tfrecords/validation", + "/data/tfrecords/validation", + container_name, + account_name, + account_key, + ) + + +@task(pre=[download_training, download_validation]) +def download_data(c): + """Download tfrecords training and validation data from blob container specified in .env file + """ + print("Data downloaded") + + +def _number_img_files_in(data_path): + logger = logging.getLogger(__name__) + all_files = glob(os.path.join(data_path, "**", "*.JPEG"), recursive=True) + len_files = len(all_files) + logger.info(f"Found {len_files} files") + return len_files + + +@task +def generate_tf_records(c): + """Convert imagenet images to tfrecords + """ + print("Preparing tf records") + if ( + _number_img_files_in("/data/train") == 0 + or _number_img_files_in("/data/validation") == 0 + ): + raise Exception( + "Not enough files found please make sure you have downloaded and processed the imagenet data" + ) + + from convert_imagenet_to_tf_records import main as convert_tf_records + + convert_tf_records( + "/data/train", + "/data/validation", + "/data/tfrecords", + os.path.join(_BASE_PATH, "imagenet_class_index.json"), + ) diff --git a/{{cookiecutter.project_name}}/tasks.py b/{{cookiecutter.project_name}}/tasks.py new file mode 100644 index 0000000..74db5e0 --- /dev/null +++ b/{{cookiecutter.project_name}}/tasks.py @@ -0,0 +1,206 @@ +import logging +import logging.config +from invoke import task, Collection +from dotenv import find_dotenv, set_key +from invoke.exceptions import Failure +from config import load_config +import os +# Experiment imports {% if cookiecutter.type == "template" or cookiecutter.type == "all"%} +import tensorflow_experiment # {%- endif -%} Template {% if cookiecutter.type == "benchmark" or cookiecutter.type == "all"%} +import tensorflow_benchmark # {%- endif -%} Benchmark{% if cookiecutter.type == "imagenet" or cookiecutter.type == "all"%} +import storage +import image +import tfrecords +import tensorflow_imagenet # Imagenet {% endif %} +from invoke.executor import Executor + +logging.config.fileConfig(os.getenv("LOG_CONFIG", "logging.conf")) +env_values = load_config() +# Imagenet switch variable {% if cookiecutter.type != "imagenet" and cookiecutter.type != "all"%} +_USE_IMAGENET = False # Don't use imagenet data {% else %} +_USE_IMAGENET = True # Use imagenet data {% endif %} + + +def _is_loged_in(c): + try: + result = c.run("az account show", hide="both") + return "Please run 'az login'" not in result.stdout + except Failure: + return False + + +def _prompt_sub_id_selection(c): + # Importing here to avoid overhead to the rest of the application + from tabulate import tabulate + from toolz import pipe + import json + from prompt_toolkit import prompt + + results = c.run(f"az account list", pty=True, hide="out") + sub_dict = json.loads(results.stdout) + sub_list = [ + {"Index": i, "Name": sub["name"], "id": sub["id"]} + for i, sub in enumerate(sub_dict) + ] + pipe(sub_list, tabulate, print) + prompt_result = prompt("Please type in index of subscription you want to use: ") + sub_id = sub_list[int(prompt_result)]["id"] + print(f"You selected index {prompt_result} sub id {sub_id}") + return sub_id + + +@task +def select_subscription(c, sub_id=env_values.get("SUBSCRIPTION_ID", None)): + """Select Azure subscription to use + + Note: + If sub_id isn't provided or found in env values interactive prompt is created asking for sub id selection + The selection is then recorded in the env file + + Args: + sub_id (string, optional): [description]. Defaults to env_values.get("SUBSCRIPTION_ID", None). + """ + env_file = find_dotenv(raise_error_if_not_found=True) + if sub_id is None or sub_id == "": + sub_id = _prompt_sub_id_selection(c) + set_key(env_file, "SUBSCRIPTION_ID", sub_id) + c.run(f"az account set -s {sub_id}", pty=True) + + +@task(post=[select_subscription]) +def login(c): + """Log in to Azure CLI + """ + if _is_loged_in(c): + return None + c.run("az login -o table", pty=True) + + +@task(aliases=("i")) +def interactive(c): + """Open IPython terminal and load in modules to work with AML + """ + c.run("python /workspace/control/src/aml_compute.py -- --interactive", pty=True) + + +@task +def delete(c, resource_group=env_values.get("RESOURCE_GROUP")): + """Delete the resource group and all associated resources + """ + c.run(f"az group delete --resource-group {resource_group} --no-wait --yes") + + +@task +def setup(c, use_imagenet=_USE_IMAGENET, use_tfrecords=True): + """Setup the environment and process the imagenet data + + Args: + use_imagenet (bool, optional): Process imagenet data and upload to cloud. Defaults to True. + use_tfrecords (bool, optional): Convert imagenet data to tfrecords and upload to cloud. Defaults to True. + """ + logger = logging.getLogger(__name__) + + c.invoke_execute(c, "login") + + if use_imagenet: + logger.info("Preparing Imagenet data") + # Need to use invoke_execute to ensure that pretasks get executed + image.prepare_imagenet(c) + c.invoke_execute(c, "storage.image.upload_data") + if use_tfrecords: + tfrecords.generate_tf_records(c) + c.invoke_execute(c, "storage.tfrecords.upload_data") + logger.info("Setup complete") + + +@task +def tensorboard(c, experiment, runs=None): + """Runs tensorboard in a seperate tmux session + + Note: + If no runs are specified it will simply look for the run that are still running. + To see runs that completed or failed simply also include the run identifier + Args: + experiment (string): The name of the experiment you wish to display the logged information for + runs (list[tring], optional): The list of run identifiers you want to display in tensorboard from the experiment. Defaults to None. + """ + cmd = f"tmux neww -d -n tensorboard python control/src/aml_compute.py tensorboard --experiment {experiment} " + if runs: + cmd = cmd + f"--runs {runs}" + c.run(cmd) + + +@task +def runs( + c, + experiment, + resource_group=env_values["RESOURCE_GROUP"], + workspace=env_values["WORKSPACE"], + last=10, +): + """Prints information on last N runs in specified experiment + + Args: + experiment (string): Name of experiment to return runs from + resource_group (string, optional): Resource group. Defaults to env_values["RESOURCE_GROUP"]. + workspace (string, optional): Workspace name. Defaults to env_values["WORKSPACE"]. + last (int, optional): The number of runs to return. Defaults to 10. + """ + cmd = f"az ml run list --experiment-name {experiment} --resource-group {resource_group} --workspace-name {workspace} -o table" + c.run(cmd) + + +@task +def experiments( + c, resource_group=env_values["RESOURCE_GROUP"], workspace=env_values["WORKSPACE"] +): + """Prints list of experiments + + Args: + resource_group (string, optional): Resource group. Defaults to env_values["RESOURCE_GROUP"]. + workspace (string, optional): Workspace name. Defaults to env_values["WORKSPACE"]. + """ + cmd = f"az ml experiment list --resource-group {resource_group} --workspace-name {workspace} -o table" + c.run(cmd) + + +def invoke_execute(context, command_name, **kwargs): + """ + Helper function to make invoke-tasks execution easier. + """ + results = Executor(namespace, config=context.config).execute((command_name, kwargs)) + target_task = context.root_namespace[command_name] + return results[target_task] + + +namespace = Collection( + setup, + delete, + interactive, + login, + select_subscription, + tensorboard, + runs, + experiments, +) + +# Experiment {% if cookiecutter.type == "template" or cookiecutter.type == "all"%} +tf_exp_collection = Collection.from_module(tensorflow_experiment) +namespace.add_collection(tf_exp_collection) +#{%- endif -%} +# Benchmark {% if cookiecutter.type == "benchmark" or cookiecutter.type == "all"%} +tf_bench_collection = Collection.from_module(tensorflow_benchmark) +namespace.add_collection(tf_bench_collection) +#{%- endif -%} +# Imagenet{% if cookiecutter.type == "imagenet" or cookiecutter.type == "all"%} +storage_collection = Collection.from_module(storage) +storage_collection.add_collection(Collection.from_module(image)) +storage_collection.add_collection(Collection.from_module(tfrecords)) +tf_collection = Collection.from_module(tensorflow_imagenet) +namespace.add_collection(tf_collection) +namespace.add_collection(storage_collection) # {% endif %} + +namespace.configure({ + 'root_namespace': namespace, + 'invoke_execute': invoke_execute, +}) \ No newline at end of file