compute update and viz error fix (#2454)

* compute update and viz error fix * v1 notebooks compute update * format updates * format updates * format updates * compute name update * cluster name update * cluster update
Azure · Jul 19, 2023 · bff4840 · bff4840
1 parent df7837c
commit bff4840
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Showing 9 changed files with 20 additions and 20 deletions.
diff --git a/...lticlass-task-fridge-items/automl-image-classification-multiclass-task-fridge-items.ipynb b/...lticlass-task-fridge-items/automl-image-classification-multiclass-task-fridge-items.ipynb
@@ -448,7 +448,7 @@
     "from azure.ai.ml.entities import AmlCompute\n",
     "from azure.core.exceptions import ResourceNotFoundError\n",
     "\n",
-    "compute_name = \"gpu-cluster-nc6\"\n",
+    "compute_name = \"gpu-cluster-nc6sv3\"\n",
     "\n",
     "try:\n",
     "    _ = ml_client.compute.get(compute_name)\n",
@@ -458,7 +458,7 @@
     "    compute_config = AmlCompute(\n",
     "        name=compute_name,\n",
     "        type=\"amlcompute\",\n",
-    "        size=\"Standard_NC6\",\n",
+    "        size=\"Standard_NC6s_v3\",\n",
     "        idle_time_before_scale_down=120,\n",
     "        min_instances=0,\n",
     "        max_instances=4,\n",
@@ -1107,7 +1107,7 @@
     "    endpoint_name=online_endpoint_name,\n",
     "    model=registered_model.id,\n",
     "    # use GPU instance type like Standard_NC6s_v3 for faster explanations\n",
-    "    instance_type=\"Standard_DS3_V2\",\n",
+    "    instance_type=\"Standard_DS4_V2\",\n",
     "    instance_count=1,\n",
     "    request_settings=req_timeout,\n",
     "    liveness_probe=ProbeSettings(\n",
@@ -1376,7 +1376,7 @@
     "# visualize explanations of the first image against one of the class\n",
     "img_bytes = base64_to_img(predictions[0][\"visualizations\"])\n",
     "image = Image.open(BytesIO(img_bytes))\n",
-    "display(image)"
+    "plt.imshow(image)"
    ]
   },
   {

diff --git a/...ltilabel-task-fridge-items/automl-image-classification-multilabel-task-fridge-items.ipynb b/...ltilabel-task-fridge-items/automl-image-classification-multilabel-task-fridge-items.ipynb
@@ -437,7 +437,7 @@
     "    compute_config = AmlCompute(\n",
     "        name=compute_name,\n",
     "        type=\"amlcompute\",\n",
-    "        size=\"Standard_NC6\",\n",
+    "        size=\"Standard_NC6s_v3\",\n",
     "        idle_time_before_scale_down=120,\n",
     "        min_instances=0,\n",
     "        max_instances=4,\n",
@@ -1088,7 +1088,7 @@
     "    endpoint_name=online_endpoint_name,\n",
     "    model=registered_model.id,\n",
     "    # use GPU instance type like Standard_NC6s_v3 for faster explanations\n",
-    "    instance_type=\"Standard_DS3_V2\",\n",
+    "    instance_type=\"Standard_DS4_V2\",\n",
     "    instance_count=1,\n",
     "    request_settings=req_timeout,\n",
     "    liveness_probe=ProbeSettings(\n",
@@ -1364,7 +1364,7 @@
     "# visualize explanations of the first image against one of the classes\n",
     "img_bytes = base64_to_img(predictions[0][\"visualizations\"][0])\n",
     "image = Image.open(BytesIO(img_bytes))\n",
-    "display(image)"
+    "plt.imshow(image)"
    ]
   },
   {

diff --git a/...segmentation-task-fridge-items/automl-image-instance-segmentation-task-fridge-items.ipynb b/...segmentation-task-fridge-items/automl-image-instance-segmentation-task-fridge-items.ipynb
@@ -537,7 +537,7 @@
     "    compute_config = AmlCompute(\n",
     "        name=compute_name,\n",
     "        type=\"amlcompute\",\n",
-    "        size=\"Standard_NC6\",\n",
+    "        size=\"Standard_NC6s_v3\",\n",
     "        idle_time_before_scale_down=120,\n",
     "        min_instances=0,\n",
     "        max_instances=4,\n",
@@ -1200,7 +1200,7 @@
     "    name=\"is-fridge-items-mlflow-dpl\",\n",
     "    endpoint_name=online_endpoint_name,\n",
     "    model=registered_model.id,\n",
-    "    instance_type=\"Standard_DS3_V2\",\n",
+    "    instance_type=\"Standard_DS4_V2\",\n",
     "    instance_count=1,\n",
     "    liveness_probe=ProbeSettings(\n",
     "        failure_threshold=30,\n",

diff --git a/...-object-detection-task-fridge-items/automl-image-object-detection-task-fridge-items.ipynb b/...-object-detection-task-fridge-items/automl-image-object-detection-task-fridge-items.ipynb
@@ -1202,7 +1202,7 @@
     "    name=\"od-fridge-items-mlflow-deploy\",\n",
     "    endpoint_name=online_endpoint_name,\n",
     "    model=registered_model.id,\n",
-    "    instance_type=\"Standard_DS3_V2\",\n",
+    "    instance_type=\"Standard_DS4_V2\",\n",
     "    instance_count=1,\n",
     "    liveness_probe=ProbeSettings(\n",
     "        failure_threshold=30,\n",

diff --git a/...tion-multiclass-batch-scoring/auto-ml-image-classification-multiclass-batch-scoring.ipynb b/...tion-multiclass-batch-scoring/auto-ml-image-classification-multiclass-batch-scoring.ipynb
@@ -112,15 +112,15 @@
    "source": [
     "from azureml.core.compute import AmlCompute, ComputeTarget\n",
     "\n",
-    "cluster_name = \"gpu-cluster-nc6\"\n",
+    "cluster_name = \"gpu-cluster-nc6sv3\"\n",
     "\n",
     "try:\n",
     "    compute_target = ws.compute_targets[cluster_name]\n",
     "    print(\"Found existing compute target.\")\n",
     "except KeyError:\n",
     "    print(\"Creating a new compute target...\")\n",
     "    compute_config = AmlCompute.provisioning_configuration(\n",
-    "        vm_size=\"Standard_NC6\",\n",
+    "        vm_size=\"Standard_NC6s_v3\",\n",
     "        idle_seconds_before_scaledown=600,\n",
     "        min_nodes=0,\n",
     "        max_nodes=4,\n",

diff --git a/...ith-azureml/image-classification-multiclass/auto-ml-image-classification-multiclass.ipynb b/...ith-azureml/image-classification-multiclass/auto-ml-image-classification-multiclass.ipynb
@@ -88,7 +88,7 @@
    "source": [
     "from azureml.core.compute import AmlCompute, ComputeTarget\n",
     "\n",
-    "cluster_name = \"gpu-cluster-nc6\"\n",
+    "cluster_name = \"gpu-cluster-nc6sv3\"\n",
     "\n",
     "try:\n",
     "    compute_target = ws.compute_targets[cluster_name]\n",
@@ -567,7 +567,7 @@
     "except ComputeTargetException:\n",
     "    print(\"Creating a new compute target...\")\n",
     "    # Provision AKS cluster with a CPU machine\n",
-    "    prov_config = AksCompute.provisioning_configuration(vm_size=\"STANDARD_D3_V2\")\n",
+    "    prov_config = AksCompute.provisioning_configuration(vm_size=\"Standard_DS4_V2\")\n",
     "    # Create the cluster\n",
     "    aks_target = ComputeTarget.create(\n",
     "        workspace=ws, name=aks_name, provisioning_configuration=prov_config\n",

diff --git a/...ith-azureml/image-classification-multilabel/auto-ml-image-classification-multilabel.ipynb b/...ith-azureml/image-classification-multilabel/auto-ml-image-classification-multilabel.ipynb
@@ -88,7 +88,7 @@
    "source": [
     "from azureml.core.compute import AmlCompute, ComputeTarget\n",
     "\n",
-    "cluster_name = \"gpu-cluster-nc6\"\n",
+    "cluster_name = \"gpu-cluster-nc6sv3\"\n",
     "\n",
     "try:\n",
     "    compute_target = ws.compute_targets[cluster_name]\n",
@@ -562,7 +562,7 @@
     "except ComputeTargetException:\n",
     "    print(\"Creating a new compute target...\")\n",
     "    # Provision AKS cluster with a CPU machine\n",
-    "    prov_config = AksCompute.provisioning_configuration(vm_size=\"STANDARD_D3_V2\")\n",
+    "    prov_config = AksCompute.provisioning_configuration(vm_size=\"Standard_DS4_V2\")\n",
     "    # Create the cluster\n",
     "    aks_target = ComputeTarget.create(\n",
     "        workspace=ws, name=aks_name, provisioning_configuration=prov_config\n",

diff --git a/...automl-with-azureml/image-instance-segmentation/auto-ml-image-instance-segmentation.ipynb b/...automl-with-azureml/image-instance-segmentation/auto-ml-image-instance-segmentation.ipynb
@@ -105,7 +105,7 @@
    "source": [
     "from azureml.core.compute import AmlCompute, ComputeTarget\n",
     "\n",
-    "cluster_name = \"gpu-cluster-nc6\"\n",
+    "cluster_name = \"gpu-cluster-nc6sv3\"\n",
     "\n",
     "try:\n",
     "    compute_target = ws.compute_targets[cluster_name]\n",
@@ -546,7 +546,7 @@
     "except ComputeTargetException:\n",
     "    print(\"Creating a new compute target...\")\n",
     "    # Provision AKS cluster with a CPU machine\n",
-    "    prov_config = AksCompute.provisioning_configuration(vm_size=\"STANDARD_D3_V2\")\n",
+    "    prov_config = AksCompute.provisioning_configuration(vm_size=\"Standard_DS4_V2\")\n",
     "    # Create the cluster\n",
     "    aks_target = ComputeTarget.create(\n",
     "        workspace=ws, name=aks_name, provisioning_configuration=prov_config\n",

diff --git a/...tutorials/automl-with-azureml/image-object-detection/auto-ml-image-object-detection.ipynb b/...tutorials/automl-with-azureml/image-object-detection/auto-ml-image-object-detection.ipynb
@@ -88,7 +88,7 @@
    "source": [
     "from azureml.core.compute import AmlCompute, ComputeTarget\n",
     "\n",
-    "cluster_name = \"gpu-cluster-nc6\"\n",
+    "cluster_name = \"gpu-cluster-nc6sv3\"\n",
     "\n",
     "try:\n",
     "    compute_target = ws.compute_targets[cluster_name]\n",
@@ -630,7 +630,7 @@
     "except ComputeTargetException:\n",
     "    print(\"Creating a new compute target...\")\n",
     "    # Provision AKS cluster with a CPU machine\n",
-    "    prov_config = AksCompute.provisioning_configuration(vm_size=\"STANDARD_D3_V2\")\n",
+    "    prov_config = AksCompute.provisioning_configuration(vm_size=\"Standard_DS4_V2\")\n",
     "    # Create the cluster\n",
     "    aks_target = ComputeTarget.create(\n",
     "        workspace=ws, name=aks_name, provisioning_configuration=prov_config\n",