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PyTorch 1.12.1 Release, small bug fix release
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@atalman atalman released this 05 Aug 19:35
v1.12.1
664058f
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This release is meant to fix the following issues (regressions / silent correctness):

Optim

  • Remove overly restrictive assert in adam #80222

Autograd

  • Convolution forward over reverse internal asserts in specific case #81111
  • 25% Performance regression from v0.1.1 to 0.2.0 when calculating hessian #82504

Distributed

  • Fix distributed store to use add for the counter of DL shared seed #80348
  • Raise proper timeout when sharing the distributed shared seed #81666

NN

  • Allow register float16 weight_norm on cpu and speed up test #80600
  • Fix weight norm backward bug on CPU when OMP_NUM_THREADS <= 2 #80930
  • Weight_norm is not working with float16 #80599
  • New release breaks torch.nn.weight_norm backwards pass and breaks all Wav2Vec2 implementations #80569
  • Disable src mask for transformer and multiheadattention fastpath #81277
  • Make nn.stateless correctly reset parameters if the forward pass fails #81262
  • torchvision.transforms.functional.rgb_to_grayscale() + torch.nn.Conv2d() don`t work on 1080 GPU #81106
  • Transformer and CPU path with src_mask raises error with torch 1.12 #81129

Data Loader

  • [Locking lower ranks seed recepients https://github.com//pull/81071

CUDA

  • os.environ["CUDA_VISIBLE_DEVICES"] has no effect #80876
  • share_memory() on CUDA tensors no longer no-ops and instead crashes #80733
  • [Prims] Unbreak CUDA lazy init #80899
  • PyTorch 1.12 cu113 wheels cudnn discoverability issue #80637
  • Remove overly restrictive checks for cudagraph #80881

ONNX

MPS

Other

  • Don't error if _warned_capturable_if_run_uncaptured not set #80345
  • Initializing libiomp5.dylib, but found libomp.dylib already initialized. #78490
  • Assertion error - _dl_shared_seed_recv_cnt - pt 1.12 - multi node #80845
  • Add 3.10 stdlib to torch.package #81261
  • CPU-only c++ extension libraries (functorch, torchtext) built against PyTorch wheels are not fully compatible with PyTorch wheels #80489
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