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@rtg0795 rtg0795 commented Aug 21, 2025

Cherrypicks of :
#21575
#21602
#21603

hertschuh and others added 4 commits August 21, 2025 18:53
…s-team#21575)

Raise an exception and explain the user about the risks.
Also:
- made various error messages related to `safe_mode` more consistent
- removed no-op renaming code in legacy saving
- uncommented unit tests in `serialization_lib_test.py`
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Summary of Changes

Hello @rtg0795, 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 bumps the Keras version to 3.11.3, primarily integrating several cherry-picked fixes and security enhancements. The core focus is on strengthening the deserialization process across various model components, including Lambda layers, HDF5-saved models, and PyTorch modules, by introducing and enforcing a safe_mode to mitigate arbitrary code execution risks. Additionally, it addresses a specific issue with GRU layer state handling.

Highlights

  • Version Update: The Keras library version has been updated to 3.11.3.
  • Enhanced Safe Deserialization: Improved security by preventing arbitrary code execution during the deserialization of Lambda layers, HDF5 models, and PyTorch modules when safe_mode is enabled.
  • GRU Layer State Fix: Corrected the return format for the state in the TensorFlow backend's CuDNN GRU implementation.
  • Legacy Code Removal: Deprecated and unnecessary compatibility utilities related to serialization have been removed.
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Code Review

This pull request introduces a version bump to 3.11.3 and includes several important changes cherry-picked from other pull requests. The changes include a bug fix in the cuDNN GRU implementation for consistent state formatting, and significant security enhancements by adding a safe_mode flag to prevent arbitrary code execution when deserializing models with Lambda layers or torch.nn.Module instances. Additionally, the PR removes some dead code and adds new tests to cover these fixes and enhancements. The changes are well-implemented, thoroughly tested, and improve the overall security and robustness of the library. I have no further recommendations.

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Thanks!

@google-ml-butler google-ml-butler bot added kokoro:force-run ready to pull Ready to be merged into the codebase labels Aug 21, 2025
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codecov-commenter commented Aug 21, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 82.72%. Comparing base (251ac34) to head (758978e).

Additional details and impacted files
@@           Coverage Diff           @@
##            r3.11   #21607   +/-   ##
=======================================
  Coverage   82.71%   82.72%           
=======================================
  Files         567      567           
  Lines       56267    56270    +3     
  Branches     8797     8798    +1     
=======================================
+ Hits        46544    46547    +3     
  Misses       7565     7565           
  Partials     2158     2158           
Flag Coverage Δ
keras 82.52% <100.00%> (+<0.01%) ⬆️
keras-jax 63.93% <71.42%> (-0.01%) ⬇️
keras-numpy 58.40% <71.42%> (-0.01%) ⬇️
keras-openvino 34.56% <71.42%> (-0.01%) ⬇️
keras-tensorflow 64.35% <71.42%> (-0.01%) ⬇️
keras-torch 63.98% <100.00%> (+<0.01%) ⬆️

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@hertschuh hertschuh merged commit b491c86 into keras-team:r3.11 Aug 21, 2025
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6 participants