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@SamanehSaadat SamanehSaadat commented Aug 21, 2025

Formatting issue:
image

Also removed a warning that was printed in the .md file.

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Summary of Changes

Hello @SamanehSaadat, 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 focuses on enhancing the readability and cleanliness of the Orbax checkpoint guide. It addresses minor formatting inconsistencies by adding blank lines to improve the presentation of numbered lists and removes an irrelevant RuntimeWarning message that was inadvertently included in the guide's output examples. These changes aim to make the documentation clearer and more professional.

Highlights

  • Improved list formatting: Blank lines were inserted before numbered list items in both the Markdown guide and its corresponding Python file to enhance readability and adhere to common formatting standards.
  • Removed extraneous warning message: A RuntimeWarning related to os.fork() and JAX's multithreading, which was erroneously printed in a code output block within the Markdown guide, has been removed.
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Code Review

This pull request cleans up the Orbax checkpointing guide by improving list formatting for better readability and removing a distracting warning message from an output example. The changes are beneficial. I've left one comment pointing out that a generated file seems to be out of sync with the source, which should be addressed to ensure consistency.

Comment on lines 51 to 60
We need to create two main utilities to manage Orbax checkpointing in Keras:
1. `KerasOrbaxCheckpointManager`: A wrapper around
`orbax.checkpoint.CheckpointManager` for Keras models.
`KerasOrbaxCheckpointManager` uses `Model`'s `get_state_tree` and
`set_state_tree` APIs to save and restore the model variables.
2. `OrbaxCheckpointCallback`: A Keras callback that uses
`KerasOrbaxCheckpointManager` to automatically save and restore model states
during training.
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medium

While the added spacing here improves readability, it appears the corresponding Jupyter notebook file (guides/ipynb/orbax_checkpoint.ipynb) has not been regenerated to reflect this change. Since this Python script acts as the source, please ensure all generated artifacts are updated for consistency.

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The formatting issue doesn't appear on the ipynb file so we don't need to update that.

`orbax.checkpoint.CheckpointManager` for Keras models.
`KerasOrbaxCheckpointManager` uses `Model`'s `get_state_tree` and
`set_state_tree` APIs to save and restore the model variables.
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Do we need that newline? Won't that cause Markdown to restart the count to 1. ?

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It looked fine when I locally brought it up but we probably don't need it, let me render it again without a newline between numbers.

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Removed

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Thanks!

@SamanehSaadat SamanehSaadat merged commit 1fa9749 into keras-team:master Aug 21, 2025
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@SamanehSaadat SamanehSaadat deleted the orbax-fix branch August 21, 2025 19:17
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3 participants