MLPro-BF: Fix for Pickling Compatibility with PyTorch 2.4+
This release addresses an issue with object serialization in PyTorch versions later than 2.4.0. To ensure compatibility, we have set the recurse=True parameter in the dill library, allowing objects to be broken down into smaller components for proper pickling. This fix has been tested with MLPro-Int-SB3 and is now merged into the main repository. With this update, serialization in MLPro should work across different PyTorch versions.
What's Changed
MLPro-BF - Basic Functions
- Bug SB3: Unit Test Failed due to Pickling Serialized Objects by @steveyuwono in #1165
Full Changelog: v1.9.7...v1.9.8