Updates for final working version

Makefile

@@ -41,6 +41,8 @@ create-service-principal:
 select-subscription:
 	az login -o table
 	az account set --subscription "$(SELECTED_SUBSCRIPTION)"
+	ln -s /anaconda/envs/py35/bin/conda /home/mat/repos/deep_bait/envs/default/bin/conda
+
 
 create-storage:
 	@echo "Creating storage account"

anaconda-project.yml

@@ -45,6 +45,7 @@ variables:
   TENANT:
   SUBSCRIPTION_ID:
   STORAGE_ACCOUNT_KEY:
+
 downloads:
   DATA:
     filename: data/cifar-10-python.tar.gz
@@ -75,7 +76,9 @@ env_specs:
     packages:
     - anaconda-project
     - pip:
-      - msrest==0.4.29
+      - olefile
+      - keyring
+      - msrestazure
       - fire==0.1.2
       - toolz==0.8.2
       - requests==2.18.4

exec_src/PyTorch_CIFAR.ipynb

@@ -395,7 +395,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.2"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

exec_src/Tensorflow_CIFAR.ipynb

@@ -41,7 +41,7 @@
     "from os import path\n",
     "from utils import cifar_for_library, yield_mb, create_logger, Timer\n",
     "from nb_logging import NotebookLogger, output_to, error_to\n",
-    "from gpumon import db_log_context\n",
+    "from gpumon.influxdb import log_context\n",
     "import codecs\n",
     "\n",
     "from influxdb import InfluxDBClient"
@@ -301,8 +301,8 @@
    ],
    "source": [
     "with Timer() as t:\n",
-    "    with db_log_context(LOGGER_URL, '8086', LOGGER_USRENAME, LOGGER_PASSWORD, LOGGER_DB, LOGGER_SERIES, \n",
+    "    with log_context(LOGGER_URL, LOGGER_USRENAME, LOGGER_PASSWORD, LOGGER_DB, LOGGER_SERIES, \n",
-    "                    node_id=node_id, task_id=task_id, job_id=job_id):\n",
+    "                     node_id=node_id, task_id=task_id, job_id=job_id):\n",
     "        for j in range(EPOCHS):\n",
     "            for data, label in yield_mb(x_train, y_train, BATCHSIZE, shuffle=True):\n",
     "                sess.run(model, feed_dict={X: data, y: label, training: True})\n",
@@ -377,7 +377,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.4"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

setup_bait.py

@@ -1,18 +1,18 @@
 ''' Script that sets everything up and introduces helper functions into the namespace
 '''
+
 import logging
+logging.basicConfig(level=logging.ERROR)
 import os
 from glob import iglob
 from itertools import chain
 from os import path
 from pprint import pprint
-
+import utilities as ut
 import azure.mgmt.batchai.models as models
 
-import utilities as ut
-
-logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
+logger.setLevel(logging.INFO)
 
 NODE_COUNT = 10
 CLUSTER_NAME = 'mync6'
@@ -274,7 +274,7 @@ def download_files(job_name, output_id, output_folder=None):
     if output_folder:
         logger.info('Downloading files to {}'.format(output_folder))
 
-    files = client.jobs.list_output_files(config.group_name, job_name, models.JobsListOutputFilesOptions(output_id))
+    files = client.jobs.list_output_files(config.group_name, job_name, models.JobsListOutputFilesOptions(outputdirectoryid=output_id))
     for file in files:
         logger.info('Downloading {}'.format(file.name))
         file_name = path.join(output_folder, file.name) if output_folder else file.name

utilities.py

@@ -12,8 +12,8 @@ import requests
 from azure.common.credentials import ServicePrincipalCredentials
 from azure.storage.file import FileService
 
-logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
+logger.setLevel(logging.INFO)
 
 POLLING_INTERVAL_SEC = 5
 
@@ -72,7 +72,7 @@ class OutputStreamer:
             files = self.client.jobs.list_output_files(
                 self.resource_group, self.job_name,
                 models.JobsListOutputFilesOptions(
-                    self.output_directory_id))
+                    outputdirectoryid=self.output_directory_id))
             if not files:
                 return
             else:
@@ -248,12 +248,12 @@ def create_job(config, cluster_id, job_name, image_name, command, number_of_vms=
 
     parameters = models.job_create_parameters.JobCreateParameters(
         location=config.location,
-        cluster=models.ResourceId(cluster_id),
+        cluster=models.ResourceId(id=cluster_id),
         node_count=number_of_vms,
         input_directories=input_directories,
         std_out_err_path_prefix=std_output_path_prefix,
         output_directories=output_directories,
-        container_settings=models.ContainerSettings(models.ImageSourceRegistry(image=image_name)),
+        container_settings=models.ContainerSettings(image_source_registry=models.ImageSourceRegistry(image=image_name)),
         custom_toolkit_settings=models.CustomToolkitSettings(command_line=command))
 
 
@@ -268,7 +268,7 @@ def wait_for_job(config, job_name):
 
 def setup_cluster(config):
     client = client_from(config)
-    container_setting_for = lambda img: models.ContainerSettings(image_source_registry=models.ImageSourceRegistry(img))
+    container_setting_for = lambda img: models.ContainerSettings(image_source_registry=models.ImageSourceRegistry(image=img))
     container_settings = [container_setting_for(img) for img in config.image_names]
 
     volumes = create_volume(config.storage_account['name'],config.storage_account['key'], config.fileshare_name, config.fileshare_mount_point)