update samples from Release-25 as a part of 1.1.2rc0 SDK experimental release (#829)

Co-authored-by: vizhur <vizhur@live.com>

how-to-use-azureml/track-and-monitor-experiments/tensorboard/tensorboard.ipynb

@@ -145,9 +145,12 @@
         "import requests\n",
         "import os\n",
         "\n",
-        "tf_code = requests.get(\"https://raw.githubusercontent.com/tensorflow/tensorflow/r1.8/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py\")\n",
+        "tf_code = requests.get(\"https://raw.githubusercontent.com/tensorflow/tensorflow/r2.1/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py\")\n",
+        "input_code = requests.get(\"https://raw.githubusercontent.com/tensorflow/tensorflow/r2.1/tensorflow/examples/tutorials/mnist/input_data.py\")\n",
         "with open(os.path.join(exp_dir, \"mnist_with_summaries.py\"), \"w\") as file:\n",
-        "    file.write(tf_code.text)"
+        "    file.write(tf_code.text.replace(\"from tensorflow.examples.tutorials.mnist import input_data\", \"import input_data\"))\n",
+        "with open(os.path.join(exp_dir, \"input_data.py\"), \"w\") as file:\n",
+        "    file.write(input_code.text)"
       ]
     },
     {
@@ -186,7 +189,7 @@
         "from azureml.core import Experiment\n",
         "from azureml.core.script_run_config import ScriptRunConfig\n",
         "\n",
-        "logs_dir = os.path.join(os.curdir, \"logs\")\n",
+        "logs_dir = os.path.join(os.curdir, os.path.join(\"logs\", \"tb-logs\"))\n",
         "data_dir = os.path.abspath(os.path.join(os.curdir, \"mnist_data\"))\n",
         "\n",
         "if not path.exists(data_dir):\n",
@@ -334,7 +337,8 @@
         "tf_estimator = TensorFlow(source_directory=exp_dir,\n",
         "                          compute_target=attached_dsvm_compute,\n",
         "                          entry_script='mnist_with_summaries.py',\n",
-        "                          script_params=script_params)\n",
+        "                          script_params=script_params,\n",
+        "                          framework_version=\"2.0\")\n",
         "\n",
         "run = exp.submit(tf_estimator)\n",
         "\n",
@@ -396,17 +400,16 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "from azureml.core.compute import ComputeTarget, AmlCompute\n",
-        "\n",
+        "from azureml.core.compute import AmlCompute\n",
         "# choose a name for your cluster\n",
-        "cluster_name = \"cpucluster\"\n",
+        "cluster_name = \"cpu-cluster\"\n",
         "\n",
         "cts = ws.compute_targets\n",
         "found = False\n",
         "if cluster_name in cts and cts[cluster_name].type == 'AmlCompute':\n",
-        "   found = True\n",
-        "   print('Found existing compute target.')\n",
-        "   compute_target = cts[cluster_name]\n",
+        "    found = True\n",
+        "    print('Found existing compute target.')\n",
+        "    compute_target = cts[cluster_name]\n",
         "if not found:\n",
         "    print('Creating a new compute target...')\n",
         "    compute_config = AmlCompute.provisioning_configuration(vm_size='STANDARD_D2_V2', \n",
@@ -444,7 +447,8 @@
         "tf_estimator = TensorFlow(source_directory=exp_dir,\n",
         "                          compute_target=compute_target,\n",
         "                          entry_script='mnist_with_summaries.py',\n",
-        "                          script_params=script_params)\n",
+        "                          script_params=script_params,\n",
+        "                          framework_version=\"2.0\")\n",
         "\n",
         "run = exp.submit(tf_estimator)\n",
         "\n",
@@ -539,6 +543,24 @@
         "name": "roastala"
       }
     ],
+    "category": "training",
+    "compute": [
+      "Local",
+      "DSVM",
+      "AML Compute"
+    ],
+    "datasets": [
+      "None"
+    ],
+    "deployment": [
+      "None"
+    ],
+    "exclude_from_index": false,
+    "framework": [
+      "TensorFlow"
+    ],
+    "friendly_name": "Tensorboard integration with run history",
+    "index_order": 3,
     "kernelspec": {
       "display_name": "Python 3.6",
       "language": "python",
@@ -556,28 +578,10 @@
       "pygments_lexer": "ipython3",
       "version": "3.6.6"
     },
-    "friendly_name": "Tensorboard integration with run history",
-    "exclude_from_index": false,
-    "index_order": 3,
-    "category": "training",
-    "task": "Run a TensorFlow job and view its Tensorboard output live",
-    "datasets": [
-      "None"
-    ],
-    "compute": [
-      "Local",
-      "DSVM",
-      "AML Compute"
-    ],
-    "deployment": [
-      "None"
-    ],
-    "framework": [
-      "TensorFlow"
-    ],
     "tags": [
       "None"
-    ]
+    ],
+    "task": "Run a TensorFlow job and view its Tensorboard output live"
   },
   "nbformat": 4,
   "nbformat_minor": 2

how-to-use-azureml/track-and-monitor-experiments/tensorboard/tensorboard.yml

@@ -3,4 +3,5 @@ dependencies:
 - pip:
   - azureml-sdk
   - azureml-tensorboard
-  - tensorflow<1.15
+  - tensorflow
+  - setuptools>=41.0.0