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

In this tutorial, you learn how to enable Profiler in Vertex AI 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:

• Vertex AI 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.

Relevant content

• Profile model training performance using Profiler