Skip to content

Conversation

TRNWWZ
Copy link
Contributor

@TRNWWZ TRNWWZ commented Sep 16, 2025

When running tests under guides, I noticed writing_your_own_callbacks.py failing with error:

AttributeError: `np.Inf` was removed in the NumPy 2.0 release. Use `np.inf` instead.` exception

As numpy has been released to 2.3.3, raising this small fix to make writing_your_own_callbacks.py able to run along with latest numpy version.

The change has been verified against keras=3.11.3 version.

Fix `AttributeError: `np.Inf` was removed in the NumPy 2.0 release. Use `np.inf` instead.` exception
Copy link

google-cla bot commented Sep 16, 2025

Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).

View this failed invocation of the CLA check for more information.

For the most up to date status, view the checks section at the bottom of the pull request.

Copy link
Contributor

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Summary of Changes

Hello @TRNWWZ, 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 addresses a critical compatibility issue within the Keras guides, specifically fixing an AttributeError in writing_your_own_callbacks.py. The error arose from an API change in NumPy 2.0, which deprecated np.Inf in favor of np.inf. By updating this single constant, the PR ensures that the guide remains functional and compatible with modern NumPy installations, allowing users to run the example code without encountering unexpected failures.

Highlights

  • Test Fix: Resolved a test failure in guides/writing_your_own_callbacks.py that occurred when running tests under the guides directory.
  • NumPy Compatibility: Updated the usage of np.Inf to np.inf to align with changes introduced in NumPy 2.0, which removed the uppercase version.
  • Guide Functionality: Ensured that the writing_your_own_callbacks.py guide can run successfully with the latest NumPy versions (e.g., 2.3.3) without encountering an AttributeError.
Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature Command Description
Code Review /gemini review Performs a code review for the current pull request in its current state.
Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
Comment @gemini-code-assist Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help /gemini help Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

  1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution.

Copy link
Contributor

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request addresses a compatibility issue with NumPy 2.0 in the writing_your_own_callbacks.py guide. The change correctly replaces the deprecated np.Inf with np.inf, ensuring the example code remains functional with modern versions of the NumPy library. The fix is straightforward, effective, and aligns with NumPy conventions. I have reviewed the change and found no issues.

@codecov-commenter
Copy link

codecov-commenter commented Sep 16, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 82.56%. Comparing base (a542c5f) to head (20c13f7).

Additional details and impacted files
@@            Coverage Diff             @@
##           master   #21671      +/-   ##
==========================================
+ Coverage   76.77%   82.56%   +5.79%     
==========================================
  Files         571      571              
  Lines       57718    57718              
  Branches     9017     9017              
==========================================
+ Hits        44311    47654    +3343     
+ Misses      11063     7765    -3298     
+ Partials     2344     2299      -45     
Flag Coverage Δ
keras 82.36% <ø> (+5.75%) ⬆️
keras-jax 63.46% <ø> (ø)
keras-numpy 57.81% <ø> (-0.01%) ⬇️
keras-openvino 34.43% <ø> (ø)
keras-tensorflow 64.18% <ø> (?)
keras-torch 63.68% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

@google-ml-butler google-ml-butler bot added kokoro:force-run ready to pull Ready to be merged into the codebase labels Sep 22, 2025
@fchollet fchollet merged commit 10f8f64 into keras-team:master Sep 22, 2025
8 of 9 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
kokoro:force-run ready to pull Ready to be merged into the codebase size:XS
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants