Merge pull request GoogleCloudPlatform#151 from GoogleCloudPlatform/ajayhemnani-patch-1

Update multiple_frameworks_kubeflow.ipynb

Author: ajayhemnani

continuous_training/kubeflow/labs/multiple_frameworks_lab.ipynb

@@ -1022,6 +1022,38 @@
     "!head census_training_pipeline.yaml"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Set the command fields in the pipeline YAML"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!sed -i 's/\\\"command\\\": \\[\\]/\\\"command\\\": \\[python, -u, -m, kfp_component.launcher\\]/g' census_training_pipeline.yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!cat census_training_pipeline.yaml | grep \"component.launcher\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You should see 6 lines in the output that were modified by the sed command."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1064,6 +1096,11 @@
     "* For **Run Type** select **One-Off**\n",
     "* Enter your **Project ID** and hit **Start**. You can now monitor your pipeline run in the UI (it will take about **10 minutes** to complete the run).\n",
     "\n",
+    "\n",
+    "\n",
+    "**NOTE that your pipeline run may fail due to the bug in a BigQuery component that does not handle certain race conditions. If you observe the pipeline failure, submit another pipeline run using the KFP UI using the steps above**\n",
+    "\n",
+    "\n",
     "Now let's set up a recurring run:\n",
     "* Select **Pipelines** then **census_trainer_multiple_models** and click **Create Run**\n",
     "* In the **Experiement** field select **Default**\n",

continuous_training/kubeflow/solutions/multiple_frameworks_kubeflow.ipynb

@@ -1020,6 +1020,38 @@
     "!head census_training_pipeline.yaml"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Set the command fields in the pipeline YAML"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!sed -i 's/\\\"command\\\": \\[\\]/\\\"command\\\": \\[python, -u, -m, kfp_component.launcher\\]/g' census_training_pipeline.yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!cat census_training_pipeline.yaml | grep \"component.launcher\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You should see 6 lines in the output that were modified by the sed command."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1062,6 +1094,10 @@
     "* For **Run Type** select **One-Off**\n",
     "* Enter your **Project ID** and hit **Start**. You can now monitor your pipeline run in the UI (it will take about **10 minutes** to complete the run).\n",
     "\n",
+    "\n",
+    "**NOTE that your pipeline run may fail due to the bug in a BigQuery component that does not handle certain race conditions. If you observe the pipeline failure, submit another pipeline run using the KFP UI using the steps above**\n",
+    "\n",
+    "\n",
     "Now let's set up a recurring run:\n",
     "* Select **Pipelines** then census_trainer_multiple_models and click **Create Run**\n",
     "* In the **Experiement** field select **Default**\n",