update vision notebook with serverless

sdk/python/responsible-ai/vision/responsibleaidashboard-automl-image-classification-fridge.ipynb

@@ -565,13 +565,13 @@
     "\n",
     "import random\n",
     "import string\n",
+    "from azure.ai.ml.entities import ResourceConfiguration \n",
     "\n",
     "allowed_chars = string.ascii_lowercase + string.digits\n",
     "suffix = \"\".join(random.choice(allowed_chars) for x in range(5))\n",
     "job_name = \"dpv2-image-classification-job-02\" + suffix\n",
     "\n",
     "image_classification_job = automl.image_classification(\n",
-    "    # compute=train_compute_name,\n",
     "    name=job_name,\n",
     "    experiment_name=exp_name,\n",
     "    training_data=my_training_data_input,\n",
@@ -584,7 +584,10 @@
     "image_classification_job.set_limits(\n",
     "    max_trials=10,\n",
     "    max_concurrent_trials=2,\n",
-    ")"
+    ")\n",
+    "\n",
+    "# Serverless compute resources used to run the job\n",
+    "image_classification_job.resources = ResourceConfiguration(instance_type=\"Standard_NC6s_v3\")"
    ]
   },
   {
@@ -996,7 +999,6 @@
     "\n",
     "\n",
     "@dsl.pipeline(\n",
-    "    compute=rai_compute_name,\n",
     "    description=\"Example RAI computation on Fridge data\",\n",
     "    experiment_name=f\"RAI_Fridge_Example_RAIInsights_Computation\",\n",
     ")\n",
@@ -1064,7 +1066,10 @@
     "    path=f\"azureml://datastores/workspaceblobstore/paths/{rand_path}/ux_json/\",\n",
     "    mode=\"upload\",\n",
     "    type=\"uri_folder\",\n",
-    ")"
+    ")\n",
+    "\n",
+    "# set pipeline to use serverless compute\n",
+    "insights_pipeline_job.default_compute = \"serverless\""
    ]
   },
   {
@@ -1271,9 +1276,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.10 - SDK V2",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "python310-sdkv2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1285,7 +1290,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.15"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,