pin to google_cloud_pipeline_components 0.1.7 (#101)

Author: amygdala

ml/vertex_pipelines/pytorch/cifar/pytorch_cifar10_vertex_pipelines.ipynb

@@ -225,7 +225,7 @@
    "outputs": [],
    "source": [
     "!pip3 install {USER_FLAG} google-cloud-aiplatform --upgrade\n",
-    "!pip3 install {USER_FLAG} kfp google-cloud-pipeline-components --upgrade"
+    "!pip3 install {USER_FLAG}  google-cloud-pipeline-components==0.1.7 kfp --upgrade"
    ]
   },
   {
@@ -1300,6 +1300,7 @@
     "        project\n",
     "    )\n",
     "\n",
+    "    gcc_aip.ModelUploadOp.component_spec.implementation.container.image = \"gcr.io/ml-pipeline/google-cloud-pipeline-components:0.1.7\"\n",
     "    model_upload_op = gcc_aip.ModelUploadOp(\n",
     "        project=project,\n",
     "        display_name=model_display_name,\n",
@@ -1309,11 +1310,12 @@
     "        serving_container_ports=[PORT]        \n",
     "    )\n",
     "    \n",
+    "    gcc_aip.EndpointCreateOp.component_spec.implementation.container.image = \"gcr.io/ml-pipeline/google-cloud-pipeline-components:0.1.7\"\n",
     "    endpoint_create_op = gcc_aip.EndpointCreateOp(\n",
     "        project=project,\n",
     "        display_name=model_display_name,\n",
     "    )\n",
-    "\n",
+    "    gcc_aip.ModelDeployOp.component_spec.implementation.container.image = \"gcr.io/ml-pipeline/google-cloud-pipeline-components:0.1.7\"\n",
     "    model_deploy_op = gcc_aip.ModelDeployOp(\n",
     "        project=project,\n",
     "        endpoint=endpoint_create_op.outputs[\"endpoint\"],\n",
@@ -1726,28 +1728,31 @@
     "        project\n",
     "    )\n",
     "\n",
+    "    gcc_aip.ModelUploadOp.component_spec.implementation.container.image = \"gcr.io/ml-pipeline/google-cloud-pipeline-components:0.1.7\"\n",
     "    model_upload_op = gcc_aip.ModelUploadOp(\n",
     "        project=project,\n",
     "        display_name=model_display_name,\n",
     "        serving_container_image_uri=build_image_task.outputs['serving_container_uri'],\n",
     "        serving_container_predict_route=\"/predictions/{}\".format(MAR_MODEL_NAME),\n",
     "        serving_container_health_route=\"/ping\",\n",
-    "        serving_container_ports=[PORT]        \n",
+    "        serving_container_ports=[PORT]\n",
     "    )\n",
-    "    \n",
+    "\n",
+    "    gcc_aip.EndpointCreateOp.component_spec.implementation.container.image = \"gcr.io/ml-pipeline/google-cloud-pipeline-components:0.1.7\"\n",
     "    endpoint_create_op = gcc_aip.EndpointCreateOp(\n",
     "        project=project,\n",
     "        display_name=model_display_name,\n",
     "    )\n",
     "\n",
+    "    gcc_aip.ModelDeployOp.component_spec.implementation.container.image = \"gcr.io/ml-pipeline/google-cloud-pipeline-components:0.1.7\"\n",
     "    model_deploy_op = gcc_aip.ModelDeployOp(\n",
     "        project=project,\n",
     "        endpoint=endpoint_create_op.outputs[\"endpoint\"],\n",
     "        model=model_upload_op.outputs[\"model\"],\n",
     "        deployed_model_display_name=model_display_name,\n",
     "        machine_type=\"n1-standard-4\",\n",
     "        accelerator_type='NVIDIA_TESLA_P100',\n",
-    "        accelerator_count=1        \n",
+    "        accelerator_count=1\n",
     "    )\n",
     "\n"
    ]
@@ -1958,6 +1963,12 @@
    "provenance": [],
    "toc_visible": true
   },
+  "environment": {
+   "kernel": "python3",
+   "name": "tf2-gpu.2-6.m82",
+   "type": "gcloud",
+   "uri": "gcr.io/deeplearning-platform-release/tf2-gpu.2-6:m82"
+  },
   "kernelspec": {
    "display_name": "Python 3",
    "language": "python",
@@ -1973,7 +1984,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.7.10"
   }
  },
  "nbformat": 4,