mirror of
https://github.com/GoogleCloudPlatform/vertex-ai-samples.git
synced 2026-09-26 14:42:04 +00:00
refactor, chore(egen): Refactored code according to template guidelines (#3136)
* refactor, chore(egen): Refactored code according to template guidelines, performed linter test * refactor, chore(egen): Removed vertexai SDK initiation in the beginning, performed linter test * refactor, chore(egen): Made some grammatical changes in markdown script, performed linter test * refactor(egen): modified code to delete locally created file, code to delete custom job * comment change --------- Co-authored-by: sumanvita-springml <sumanvita.kandregula@egen.ai>
This commit is contained in:
co-authored by
sumanvita-springml
parent
3e33b7e0c6
commit
00729da920
@@ -8,7 +8,7 @@
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},
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"outputs": [],
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"source": [
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"# Copyright 2022 Google LLC\n",
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"# Copyright 2024 Google LLC\n",
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"#\n",
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"# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
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"# you may not use this file except in compliance with the License.\n",
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@@ -32,22 +32,24 @@
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"# Profile model training performance using Vertex AI TensorBoard Profiler\n",
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"\n",
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"<table align=\"left\">\n",
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"\n",
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" <td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/tensorboard/tensorboard_profiler_custom_training.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Google Colaboratory logo\"><br> Open in Colab\n",
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" </a>\n",
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" </td>\n",
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" <td>\n",
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" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/tensorboard/tensorboard_profiler_custom_training.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
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" View on GitHub\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fvertex-ai-samples%2Fmain%2Fnotebooks%2Fofficial%2Ftensorboard%2Ftensorboard_profiler_custom_training.ipynb\">\n",
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" <img width=\"32px\" src=\"https://cloud.google.com/ml-engine/images/colab-enterprise-logo-32px.png\" alt=\"Google Cloud Colab Enterprise logo\"><br> Open in Colab Enterprise\n",
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" </a>\n",
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" </td>\n",
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" <td>\n",
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" </td> \n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/tensorboard/tensorboard_profiler_custom_training.ipynb\">\n",
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" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
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" Open in Vertex AI Workbench\n",
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" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\"><br> Open in Workbench\n",
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" </a>\n",
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" </td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/tensorboard/tensorboard_profiler_custom_training.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\"><br> View on GitHub\n",
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" </a>\n",
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" </td>\n",
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"</table>"
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@@ -123,12 +125,19 @@
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "ze4-nDLfK4pw"
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"id": "61RBz8LLbxCR"
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},
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"source": [
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"## Installation\n",
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"\n",
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"Install the following packages required to execute this notebook. "
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"## Get started"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "No17Cw5hgx12"
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},
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"source": [
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"### Install Vertex AI SDK for Python and other required packages\n"
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]
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},
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{
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@@ -145,158 +154,92 @@
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "aUw6ibN-n5Za"
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"id": "R5Xep4W9lq-Z"
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},
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"source": [
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"### Colab only: Uncomment the following cell to restart the kernel."
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"### Restart runtime (Colab only)\n",
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"\n",
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"To use the newly installed packages, you must restart the runtime on Google Colab."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "FM12wbWhn7w0"
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"id": "XRvKdaPDTznN"
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},
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"outputs": [],
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"source": [
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"# Automatically restart kernel after installs so that your environment can access the new packages\n",
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"# import IPython\n",
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"import sys\n",
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"\n",
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"# app = IPython.Application.instance()\n",
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"# app.kernel.do_shutdown(True)"
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"if \"google.colab\" in sys.modules:\n",
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"\n",
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" import IPython\n",
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"\n",
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" app = IPython.Application.instance()\n",
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" app.kernel.do_shutdown(True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "LgFWLeJfoGQu"
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"id": "SbmM4z7FOBpM"
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},
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"source": [
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"## Before you begin\n",
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"\n",
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"### Set up your Google Cloud project\n",
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"\n",
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"**The following steps are required, regardless of your notebook environment.**\n",
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"\n",
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"1. [Select or create a Google Cloud project](https://console.cloud.google.com/cloud-resource-manager). When you first create an account, you get a $300 free credit towards your compute/storage costs.\n",
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"\n",
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"2. [Make sure that billing is enabled for your project](https://cloud.google.com/billing/docs/how-to/modify-project).\n",
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"\n",
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"3. [Enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com). \n",
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"\n",
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"4. If you are running this notebook locally, you need to install the [Cloud SDK](https://cloud.google.com/sdk)."
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"<div class=\"alert alert-block alert-warning\">\n",
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"<b>⚠️ The kernel is going to restart. Wait until it's finished before continuing to the next step. ⚠️</b>\n",
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"</div>\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "8ckyxpX_oSzD"
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"id": "dmWOrTJ3gx13"
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},
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"source": [
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"#### Set your project ID\n",
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"### Authenticate your notebook environment (Colab only)\n",
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"\n",
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"**If you don't know your project ID**, try the following:\n",
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"* Run `gcloud config list`.\n",
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"* Run `gcloud projects list`.\n",
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"* See the support page: [Locate the project ID](https://support.google.com/googleapi/answer/7014113)"
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"Authenticate your environment on Google Colab.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "zY8DKBoVoVy3"
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"id": "NyKGtVQjgx13"
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},
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"outputs": [],
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"source": [
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"import sys\n",
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"\n",
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"if \"google.colab\" in sys.modules:\n",
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"\n",
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" from google.colab import auth\n",
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"\n",
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" auth.authenticate_user()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "DF4l8DTdWgPY"
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},
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"source": [
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"### Set Google Cloud project information and initialize Vertex AI SDK for Python\n",
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"\n",
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"To get started using Vertex AI, you must have an existing Google Cloud project and [enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com). Learn more about [setting up a project and a development environment](https://cloud.google.com/vertex-ai/docs/start/cloud-environment)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "Nqwi-5ufWp_B"
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},
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"outputs": [],
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"source": [
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"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}\n",
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"\n",
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"# Set the project id\n",
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"! gcloud config set project {PROJECT_ID}"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "mSQjVQmMosMl"
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},
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"source": [
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"#### Region\n",
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"\n",
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"You can also change the `REGION` variable used by Vertex AI. Learn more about [Vertex AI regions](https://cloud.google.com/vertex-ai/docs/general/locations)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "Se9FWWhLotvB"
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},
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"outputs": [],
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"source": [
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"REGION = \"us-central1\" # @param {type:\"string\"}"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "IfJRIMBpo5Pg"
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},
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"source": [
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"### Authenticate your Google Cloud account\n",
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"\n",
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"Depending on your Jupyter environment, you may have to manually authenticate. Follow the relevant instructions below."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "acFN0s3So9-Y"
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},
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"source": [
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"**1. Vertex AI Workbench**\n",
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"* Do nothing as you are already authenticated."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "dQ_mNwuapE5T"
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},
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"source": [
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"**2. Local JupyterLab instance, uncomment and run:**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "cR_MzpknpGgM"
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},
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"outputs": [],
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"source": [
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"# ! gcloud auth login"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "h-MuVI_ypJfw"
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},
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"source": [
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"**3. Colab, uncomment and run:**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "BeaQlCwMpQUT"
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},
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"outputs": [],
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"source": [
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"# from google.colab import auth\n",
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"# auth.authenticate_user()"
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"LOCATION = \"us-central1\" # @param {type:\"string\"}"
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]
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},
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{
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@@ -305,9 +248,9 @@
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"id": "3ivZkPUjpaFz"
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},
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"source": [
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"**4. Setup service account and permissions**\n",
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"### Setup service account and permissions\n",
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"\n",
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"A service account is used to create custom training jobs. If you do not want to use your project's Compute Engine service account, set SERVICE_ACCOUNT to another service account ID. You can create a service account by following the [instructions](https://cloud.google.com/iam/docs/creating-managing-service-accounts#creating)."
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"A service account is used to create custom training jobs. If you don't want to use your project's Compute Engine service account, set SERVICE_ACCOUNT to another service account ID. You can create a service account by following the [instructions](https://cloud.google.com/iam/docs/creating-managing-service-accounts#creating)."
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]
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},
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{
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@@ -404,7 +347,7 @@
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},
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"outputs": [],
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"source": [
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"! gsutil mb -l $REGION -p $PROJECT_ID $BUCKET_URI"
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"! gsutil mb -l $LOCATION -p $PROJECT_ID $BUCKET_URI"
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]
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},
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{
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@@ -425,6 +368,7 @@
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"outputs": [],
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"source": [
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"import os\n",
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"import sys\n",
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"\n",
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"from google.cloud import aiplatform"
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]
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@@ -448,7 +392,7 @@
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},
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"outputs": [],
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"source": [
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"aiplatform.init(project=PROJECT_ID, location=REGION, staging_bucket=BUCKET_URI)"
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"aiplatform.init(project=PROJECT_ID, location=LOCATION, staging_bucket=BUCKET_URI)"
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]
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},
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{
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@@ -530,7 +474,7 @@
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"outputs": [],
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"source": [
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"tensorboard = aiplatform.Tensorboard.create(\n",
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" display_name=TENSORBOARD_NAME, project=PROJECT_ID, location=REGION\n",
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" display_name=TENSORBOARD_NAME, project=PROJECT_ID, location=LOCATION\n",
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")\n",
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"\n",
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"TENSORBOARD_INSTANCE_NAME = tensorboard.resource_name\n",
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@@ -544,7 +488,7 @@
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"id": "yoR29gW2S24w"
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},
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"source": [
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"## Train a model\n",
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"### Train a model\n",
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"\n",
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"To train a model using your custom training code, choose one of the following options:\n",
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"\n",
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@@ -578,7 +522,7 @@
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"\n",
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"! gcloud artifacts repositories create {DOCKER_REPOSITORY} \\\n",
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" --repository-format=docker \\\n",
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" --location={REGION} \\\n",
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" --location={LOCATION} \\\n",
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" --description=\"Repository for TensorBoard Custom Training Job\" \\\n",
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" --quiet\n",
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"\n",
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@@ -604,10 +548,8 @@
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},
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"outputs": [],
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"source": [
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"import sys\n",
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"\n",
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"if not IS_COLAB:\n",
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" ! gcloud auth configure-docker {REGION}-docker.pkg.dev --quiet"
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" ! gcloud auth configure-docker {LOCATION}-docker.pkg.dev --quiet"
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]
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},
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{
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@@ -817,9 +759,9 @@
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"outputs": [],
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"source": [
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"IMAGE_NAME = \"tensorboard-custom-container\"\n",
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"IMAGE_URI = f\"{REGION}-docker.pkg.dev/{PROJECT_ID}/{DOCKER_REPOSITORY}/{IMAGE_NAME}\"\n",
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"IMAGE_URI = f\"{LOCATION}-docker.pkg.dev/{PROJECT_ID}/{DOCKER_REPOSITORY}/{IMAGE_NAME}\"\n",
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"\n",
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"! gcloud builds submit --project {PROJECT_ID} --region={REGION} --tag {IMAGE_URI} --timeout=3600s --quiet"
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"! gcloud builds submit --project {PROJECT_ID} --region={LOCATION} --tag {IMAGE_URI} --timeout=3600s --quiet"
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]
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},
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{
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@@ -932,21 +874,31 @@
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},
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"outputs": [],
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"source": [
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"delete_tensorboard = True\n",
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"delete_bucket = False\n",
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"\n",
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"# Delete docker repository.\n",
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"! gcloud artifacts repositories delete $DOCKER_REPOSITORY --project {PROJECT_ID} --location {REGION} --quiet\n",
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"! gcloud artifacts repositories delete $DOCKER_REPOSITORY --project {PROJECT_ID} --location {LOCATION} --quiet\n",
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"\n",
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"# delete training job\n",
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"try:\n",
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" job.delete()\n",
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"except Exception as e:\n",
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" print(e)\n",
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"\n",
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"# delete tensorboard instance\n",
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"delete_tensorboard = True\n",
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"if delete_tensorboard:\n",
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" tensorboard.delete()\n",
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"\n",
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"if delete_bucket or os.getenv(\"IS_TESTING\"):\n",
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"# delete custom job\n",
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"custom_job = f\"{JOB_NAME}-custom-job\"\n",
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"custom_job_to_delete = aiplatform.CustomJob.list(filter=f\"display_name={custom_job}\")[0]\n",
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"custom_job_to_delete.delete()\n",
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"\n",
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"# delete locally generated files and folders\n",
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"! rm -rf {PYTHON_PACKAGE_APPLICATION_DIR} Dockerfile\n",
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"\n",
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"# delete cloud storage bucket\n",
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"delete_bucket = False # set True for deletion\n",
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"if delete_bucket:\n",
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" ! gsutil -m rm -r $BUCKET_URI"
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]
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}
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