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Propagate safe_mode
flag to legacy h5 loading code.
#21602
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Summary of Changes
Hello @hertschuh, 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 enhances the legacy H5 model loading mechanism by introducing and propagating a safe_mode
flag, which prevents the deserialization of potentially unsafe custom objects by default. It also includes a cleanup of obsolete code related to string replacement in legacy saving utilities and reactivates previously commented-out unit tests to ensure the new safe_mode
behavior is correctly validated.
Highlights
- Enhanced H5 Model Loading Safety: The
load_model_from_hdf5
function in the legacy H5 format now accepts asafe_mode
argument, ensuring that potentially unsafe deserialization operations are blocked by default, improving security. - Removal of Redundant Code: Obsolete
_find_replace_nested_dict
functions and their associated calls have been removed from legacy saving utilities, streamlining the codebase and removing no-op operations. - Activated Unit Tests: Previously commented-out unit tests in
serialization_lib_test.py
related tolambda
layers andsafe_mode
functionality have been re-enabled, confirming the correct behavior of the new safety measures.
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Code Review
This pull request correctly propagates the safe_mode
flag to the legacy H5 model loading functionality, ensuring consistent behavior for unsafe deserialization across different model formats. The changes also include beneficial code cleanup by removing no-op code from legacy saving utilities. Additionally, previously disabled unit tests for lambda serialization have been re-enabled. However, I've found that the updated tests use an incorrect regular expression to catch the expected ValueError
, which will cause them to fail. I've provided suggestions to fix these tests.
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #21602 +/- ##
==========================================
+ Coverage 76.94% 82.71% +5.76%
==========================================
Files 568 568
Lines 56895 56897 +2
Branches 8889 8890 +1
==========================================
+ Hits 43780 47063 +3283
+ Misses 10862 7640 -3222
+ Partials 2253 2194 -59
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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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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Thanks! Looks good. And thanks for cleaning up dead code here.
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`
* Disable `torch.load` in `TorchModuleWrapper` when in safe mode. (#21575) Raise an exception and explain the user about the risks. * Propagate `safe_mode` flag to legacy h5 loading code. (#21602) 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` * Fix GRU with return_state=True on tf backend with cuda (#21603) * Version bump to 3.11.3 --------- Co-authored-by: hertschuh <[email protected]> Co-authored-by: Matt Watson <[email protected]>
Also:
serialization_lib_test.py
safe_mode
more consistent