Profile model training performance using Cloud Profiler in custom training with prebuilt container: Notebook

In this tutorial, you learn how to enable Profiler in Gemini Enterprise Agent Platform for custom training jobs with a prebuilt container.

Notebook: Profile model training performance using Cloud Profiler in prebuilt container

This tutorial uses the following Google Cloud ML services and resources:

  • Gemini Enterprise Agent Platform training
  • Vertex AI TensorBoard

The steps performed include:

  • Prepare your custom training code and load your training code as a Python package to a prebuilt container.
  • Create and run a custom training job that enables Profiler.
  • View the Profiler dashboard to debug your model training performance.

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