Tags: pytorch-labs/torchfix
Tags
Bump version to 0.6.0 Preparing 0.6.0 release, which is probably a bit overdue already. Also it's nice to align the release with PyTorch conference. - 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
Bump version to 0.5.0 (#40) Preparing 0.5.0 release. - 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 refactorings and bug fixes
Bump version to 0.3.0 (#11) Preparing 0.3.0 release. - Added rule TOR003 about explicitly passing `use_reentrant` explicitly 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