Update Dist Tensorflow Sample to use Blob for training scripts

Author: llidev

recipes/TensorFlow/TensorFlow-GPU-Distributed/TensorFlow-GPU-Distributed.ipynb

@@ -139,36 +139,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Create Azure File Share\n",
-    "\n",
-    "For this example we will create a new File Share with name `batchaisample` under your storage account. This will be used to share the *training script file* and *output file*.\n",
-    "\n",
-    "**Note** You don't need to create new file share for every cluster. We are doing this in this sample to simplify resource management for you."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "azure_file_share_name = 'batchaisample'\n",
-    "file_service = FileService(cfg.storage_account_name, cfg.storage_account_key)\n",
-    "file_service.create_share(azure_file_share_name, fail_on_exist=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Deploy Sample Script to Azure File Share"
+    "### Deploy Sample Script toAzure Blob Container"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We will create a folder on Azure File Share containing a copy of sample script"
+    "We will create a folder on Azure Blob Containers containing a copy of sample script"
    ]
   },
   {
@@ -179,10 +157,10 @@
    "source": [
     "script_directory = 'tensorflow_samples'\n",
     "script_to_deploy = 'mnist_replica.py'\n",
-    "file_service.create_directory(\n",
-    "    azure_file_share_name, script_directory, fail_on_exist=False)\n",
-    "file_service.create_file_from_path(\n",
-    "    azure_file_share_name, script_directory, script_to_deploy, script_to_deploy)"
+    "\n",
+    "blob_service.create_blob_from_path(azure_blob_container_name,\n",
+    "                                   script_directory + '/' + script_to_deploy, \n",
+    "                                   script_to_deploy)"
    ]
   },
   {
@@ -303,7 +281,7 @@
     "     input_directories=[\n",
     "        models.InputDirectory(\n",
     "            id='SCRIPT',\n",
-    "            path='$AZ_BATCHAI_JOB_MOUNT_ROOT/{0}/{1}'.format(azure_file_share, script_directory)),\n",
+    "            path='$AZ_BATCHAI_JOB_MOUNT_ROOT/{0}/{1}'.format(azure_blob, script_directory)),\n",
     "        models.InputDirectory(\n",
     "            id='DATASET',\n",
     "            path='$AZ_BATCHAI_JOB_MOUNT_ROOT/{0}/{1}'.format(azure_blob, mnist_dataset_directory))],\n",