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ArtificialIntelligence ProductUpdate 1 source(s)

Bug Fix Release

Updated September 26, 2026 · 2:46 PM · source date February 7, 2019

Summary

Bug Fix Release pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k Bug Fix Release soumith released this 07 Feb 08:51 · 3 commits to v1.0.1 since this release v1.0.1 8322165 Note: our conda install commands have slightly changed. Version specifiers such as cuda100 in conda install pytorch cuda100 -c pytorch have changed to conda install pytorch cudatoolkit=10.0 -c pytorch Breaking Changes There are no breaking changes in this release.

Why it matters

This ProductUpdate is relevant to the technology intelligence record because it involves Amazon Web Services, GitHub. 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 Bug Fix Release soumith released this 07 Feb 08:51 · 3 commits to v1.0.1 since this release v1.0.1 8322165 Note: our conda install commands have slightly changed.
  • Version specifiers such as cuda100 in conda install pytorch cuda100 -c pytorch have changed to conda install pytorch cudatoolkit=10.0 -c pytorch Breaking Changes There are no breaking changes in this release.
  • Updated CPUInfo with relevant fixes.
  • MKL-DNN is now statically built, to avoid conflicts with system versions Allow ReadyQueue to handle empty tasks ( #15791 ) Fixes a segfault with a DataParallel + Checkpoint neural network setting Avoid integer divide by zero error in index_put_ ( #14984 ) Fix for model inference crash on Win10 ( #15919 ) ( #16092 ) Use CUDAGuard when serializing Tensors: Before this change, torch.save and torch.load would initialize the CUDA context on GPU 0 if it hadn't been initialized already, even if the serialized tensors are only on GPU 1.
  • Fix error with handling scalars and rpow , for example 1 ^^ x , where x is a PyTorch scalar ( #16687 ) Switch to CUDA implementation instead of CuDNN if batch size >= 65536 for affine_grid ( #16403 ) CuDNN crashes when batch size >= 65536 [Distributed] TCP init method race condition fix ( #15684 ) [Distributed] Fix a memory leak in Gloo's CPU backend [C++ Frontend] Fix LBFGS issue around using inplace ops ( #16167 ) [Hub] Fix github branch prefix v ( #15552 ) [Hub] url download bugfix for URLs served without Content-Length header Performance LibTorch binaries now ship with CuDNN enabled.
  • Without this change, many folks saw significant perf differences while using LibTorch vs PyTorch, this should be fixed now.
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