TorchFix 0.7.0

• Updated libCST dependency to 1.5.0 to support running on Python 3.13
• Added torch.matrix_rank and torch.lstsq to the list of deprecated/removed APIs

TorchFix 0.6.0

• Added torch.utils._pytree._register_pytree_node and torch.backends.cuda.sdp_kernel to the deprecated APIs rules
• Enhanced rule TOR203 to support torchvision.datasets and transforms in addition to models
• Added rules TOR106 and TOR107 to suggest replacing torch.log(1 + x) and torch.exp(x) - 1 with more numerically stable equivalents
• Multiple code refactorings, bug fixes, and quality of life and documentation improvements

TorchFix 0.5.0

• Added rule TOR203 to replace 'import torchvision.models as models' with 'from torchvision import models'
• Added rules TOR104 and TOR105 for calling and importing non-public PyTorch functions that have known public aliases
• Added rules TOR004 and TOR103 for importing removed and deprecated functions (in addition to the existing rules for calling those functions)
• Fixed loading for deprecated symbols config in zipped deployments
• Done several smaller bug fixes and refactorings

TorchFix 0.4.0

• Improvements for the standalone torchfix command:
  • Added --version flag
  • --select flag now accepts specific rules, not just ALL
  • Fixed excessive debug output on MacOS
• Added PyTorch-internal rule TOR901
• TorchFix explicitly requires at least Python 3.9 now
• Small clean-ups and bugfixes

TorchFix 0.3.0

• Added rule TOR003 about explicitly passing use_reentrant to torch.utils.checkpoint
• Added torch.nn.utils.weight_norm to the list of deprecated functions flagged by TOR101
• Updated README with TOR0 rules description

TorchFix 0.2.1: first release for pytorch-labs/torchfix repo

This is the first release for pytorch-labs/torchfix repo, with the only differences from TorchFix 0.2.0 on PyPI are files related to repo maintenance and project metadata.