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PyTorch 2.4.1 Release, bug fix release
Summary
PyTorch 2.4.1 Release, bug fix release pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k PyTorch 2.4.1 Release, bug fix release atalman released this 04 Sep 19:59 · 37285 commits to main since this release v2.4.1 ee1b680 This commit was created on GitHub.com and signed with GitHub’s verified signature . GPG key ID: B5690EEEBB952194 Verified Learn about vigilant mode .
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This ProductLaunch is relevant to the technology intelligence record because it involves GitHub, Docker. The source article should remain the factual reference for follow-up coverage.
Key facts
- pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k PyTorch 2.4.1 Release, bug fix release atalman released this 04 Sep 19:59 · 37285 commits to main since this release v2.4.1 ee1b680 This commit was created on GitHub.com and signed with GitHub’s verified signature .
- GPG key ID: B5690EEEBB952194 Verified Learn about vigilant mode .
- This release is meant to fix the following issues (regressions / silent correctness): Breaking Changes: The pytorch/pytorch docker image now installs the PyTorch package through pip and has switch its conda installation from miniconda to miniforge ( #134274 ) Windows: Fix performance regression on Windows related to MKL static linking ( #130619 ) ( #130697 ) Fix error during loading on Windows: [WinError 126] The specified module could not be found.
- ( #131662 ) ( #130697 ) MPS: Fix tensor.clamp produces wrong values ( #130226 ) Fix Incorrect result from batch norm with sliced inputs ( #133610 ) ROCM: Fix for launching kernel invalid config error when calling embedding with large index ( #130994 ) Added a check and a warning when attempting to use hipBLASLt on an unsupported architecture ( #128753 ) Fix image corruption with Memory Efficient Attention when running HuggingFace Diffusers Stable Diffusion 3 pipeline ( #133331 ) Distributed: Fix FutureWarning when using torch.load internally ( #130663 ) Fix FutureWarning when using torch.cuda.amp.autocast internally ( #130660 ) Torch.compile: Fix exception with torch compile when onnxruntime-training and deepspeed packages are installed.
- Following Error is generated: redis.exceptions.DataError: Invalid input of type: 'dict'.
- Please use nightlies if you need this feature (reported and Fixed by PR: #134032 ) Release tracker #132400 contains all relevant pull requests related to this release as well as links to related issues.
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