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@jwhj jwhj commented Dec 8, 2025

Description

Enable gradient checkpointing by default in examples.

Related Issue

Fixes #(issue)

Type of Change

  • Bug fix (non-breaking change that fixes an issue)
  • New feature (non-breaking change that adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not
    work as expected)
  • Documentation update
  • Code refactoring (no functional changes)
  • Performance improvement
  • Test coverage improvement

Checklist

  • I have read the Contributing Guide
  • I have run formatting tools (pre-commit or manual)
  • I have run relevant unit tests and they pass
  • I have added tests for new functionality
  • I have updated documentation if needed
  • My branch is up to date with main
  • This PR introduces breaking changes (if yes, fill out details below)
  • If this PR changes documentation, I have built and previewed it locally with
    jb build docs
  • No critical issues raised by AI reviewers (/gemini review)

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Summary of Changes

Hello @jwhj, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request standardizes the use of gradient checkpointing across a wide range of example configurations. By enabling this feature by default, the examples will benefit from reduced memory consumption during model training, which can be crucial for training large models or using larger batch sizes on available hardware. This change improves the out-of-the-box efficiency of the provided training setups.

Highlights

  • Default Gradient Checkpointing: Gradient checkpointing has been enabled by default across numerous example configuration files. This change sets the gradient_checkpointing parameter to true in various YAML files, primarily affecting model training configurations to optimize memory usage.
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Code Review

This pull request systematically enables gradient checkpointing by default across a wide range of example configurations. This is a beneficial change as it lowers memory requirements, making the examples more accessible on hardware with limited resources. The changes are applied consistently and correctly across all relevant YAML files. The implementation is straightforward and I have no further recommendations.

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@garrett4wade garrett4wade left a comment

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LGTM

@garrett4wade garrett4wade merged commit c147409 into inclusionAI:main Dec 9, 2025
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2 participants