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@ -1,74 +1,6 @@
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# Ubuntu 16.04, CUDA 9.0
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FROM nvidia/cuda:9.0-runtime-ubuntu16.04
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FROM microsoft/cntk:2.5.1-gpu-python3.5-cuda9.0-cudnn7.0
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ENV CNTK_VERSION=2.5.1
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ENV CUDNN_VERSION=7.0.5.15-1+cuda9.0
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ENV PYTHON_VERSION=3.5
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ENV PY_VERSION=35
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ENV NCCL_VERSION=2.1.15-1+cuda9.0
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RUN echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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cmake \
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sudo \
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git \
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curl \
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wget \
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ca-certificates \
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libopenmpi-dev \
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libcudnn7=$CUDNN_VERSION \
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libnccl2 \
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libnccl-dev \
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libjpeg-dev \
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libpng-dev \
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ssh \
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python$PYTHON_VERSION \
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python$PYTHON_VERSION-dev
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RUN ln -s /usr/bin/python$PYTHON_VERSION /usr/bin/python
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RUN curl -O https://bootstrap.pypa.io/get-pip.py && \
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python get-pip.py && \
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rm get-pip.py
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# Install Open MPI
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RUN mkdir /tmp/openmpi && \
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cd /tmp/openmpi && \
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wget https://www.open-mpi.org/software/ompi/v3.0/downloads/openmpi-3.0.0.tar.gz && \
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tar zxf openmpi-3.0.0.tar.gz && \
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cd openmpi-3.0.0 && \
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./configure --enable-orterun-prefix-by-default && \
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make -j $(nproc) all && \
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make install && \
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ldconfig && \
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rm -rf /tmp/openmpi
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# Create a wrapper for OpenMPI to allow running as root by default
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RUN mv /usr/local/bin/mpirun /usr/local/bin/mpirun.real && \
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echo '#!/bin/bash' > /usr/local/bin/mpirun && \
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echo 'mpirun.real --allow-run-as-root "$@"' >> /usr/local/bin/mpirun && \
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chmod a+x /usr/local/bin/mpirun
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# Configure OpenMPI to run good defaults:
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# --bind-to none --map-by slot --mca btl_tcp_if_exclude lo,docker0
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RUN echo "hwloc_base_binding_policy = none" >> /usr/local/etc/openmpi-mca-params.conf && \
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echo "rmaps_base_mapping_policy = slot" >> /usr/local/etc/openmpi-mca-params.conf && \
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echo "btl_tcp_if_exclude = lo,docker0" >> /usr/local/etc/openmpi-mca-params.conf
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# Set default NCCL parameters
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RUN echo NCCL_DEBUG=INFO >> /etc/nccl.conf && \
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echo NCCL_SOCKET_IFNAME=^docker0 >> /etc/nccl.conf
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# Install CNTK
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RUN pip install --no-cache-dir https://cntk.ai/PythonWheel/GPU/cntk_gpu-$CNTK_VERSION-cp$PY_VERSION-cp${PY_VERSION}m-linux_x86_64.whl h5py scipy jupyter ipykernel numpy toolz pandas scikit-learn
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# Allow OpenSSH to talk to containers without asking for confirmation
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RUN cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && \
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echo " StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && \
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mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config
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WORKDIR /root
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ENV PATH /cntk/cntk/bin:/root/anaconda3/envs/cntk-py35/bin:$PATH
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ENV LD_LIBRARY_PATH /cntk/cntk/lib:/cntk/cntk/dependencies/lib:$LD_LIBRARY_PATH
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@ -1,46 +1,9 @@
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define PROJECT_HELP_MSG
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Usage:
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make help show this message
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make build make CNTK image with Open MPI
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make run-mpi run training using Open MPI image
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make push push CNTK image with Open MPI
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endef
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export PROJECT_HELP_MSG
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DATA_DIR:=/mnt/imagenet
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PWD:=$(shell pwd)
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FAKE:='False'
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FAKE_DATA_LENGTH:=1281167
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image-open:=hoaphumanoid/cntk:distributed
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open-path:=$(PWD)/Docker
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script:=\$$AZ_BATCHAI_INPUT_SCRIPTS/imagenet_cntk.py
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include ../include/build.mk
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setup_volumes:=-v $(PWD)/src/execution:/mnt/script \
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-v $(DATA_DIR):/mnt/input \
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-v $(DATA_DIR)/temp/model:/mnt/model \
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-v $(DATA_DIR)/temp/output:/mnt/output
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setup_environment:=--env AZ_BATCHAI_INPUT_TRAIN='/mnt/input' \
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--env AZ_BATCHAI_INPUT_TEST='/mnt/input' \
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--env AZ_BATCHAI_OUTPUT_MODEL='/mnt/model' \
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--env AZ_BATCHAI_JOB_TEMP_DIR='/mnt/output'
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name_prefix:=hoaphumanoid
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define execute_mpi
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nvidia-docker run -it \
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$(setup_volumes) \
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$(setup_environment) \
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$(1) bash -c "mpirun -np 2 -H localhost:2 python /mnt/script/ImagenetEstimatorCNTK.py"
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endef
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help:
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echo "$$PROJECT_HELP_MSG" | less
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build:
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docker build -t $(name_prefix)/cntk Docker
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run-mpi:
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$(call execute_mpi, $(name_prefix)/cntk)
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push:
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docker push $(name_prefix)/cntk
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.PHONY: help build push
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@ -69,6 +69,13 @@ define execute
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$(1) bash -c "python $(2)"
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endef
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define execute_jupyter
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nvidia-docker run -p 8888:8888 -it \
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--shm-size="8g" \
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$(setup_volumes) \
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$(setup_environment) \
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$(1) bash -c "jupyter notebook --ip=* --no-browser --allow-root"
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endef
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help:
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echo "$$PROJECT_HELP_MSG" | less
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run:
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$(call execute, $(image-open), $(script))
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run-jupyter:
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$(call execute_jupyter, $(image-open))
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push:
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docker push $(image-open)
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