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Commits on Sep 25, 2019

• Fix DDP incompatibility issue with nn.MultiheadAttention.

  

  Guanheng Zhang

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Commits on Sep 24, 2019

• Remove _dequantize_per_tensor (#26681)

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  jerryzh168

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• Make `is_optional` check more robust (#26312)

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  davidriazati

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• Add doc building instructions

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  David Riazati

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• Un-hardcode epsilon constant in FoldConvBatchNorm2d.

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  Mikhail Zolotukhin

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• Register values listed in __constants__ as attributes of the Module. (#26581)

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  Mikhail Zolotukhin

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• Remove _dequantize_per_channel in the pattern (#26680)

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  jerryzh168

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• Trivial quantized torch.mean implementation

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  James Reed

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• Enable hub tests on MacOS (#26697)

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  ailzhang

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• Setting automatic default selection for ONNX IR v4 semantics in ONNX export API (#26146)

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  Spandan Tiwari

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• Add traces to specialize_autograd and lower_grad_of (2nd try)

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  Krovatkin

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• Expands TestAutogradDeviceType (#26708)

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  Mike Ruberry

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• Remove duplicate calculation of output shape (#26684)

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  dskhudia

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• Use noop observer to pass dtype for dynamic quantization (#26709)

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  Dmytro Dzhulgakov

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• Speed up an integer to the power of a positive integer on CPU (#26020)

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  xuhdev

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• allow building docker without torchvision (#26168)

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  David Pollack

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• Add tests for C++ functional cosine_similarity and pairwise_distance, and clean up functional test code (#26559)

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  Will Feng

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• Updating submodules

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  svcscm

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• Don't generate named tensor functions to RegistrationFunctions.h (#26685)

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  zou3519

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• Typo fix (#26417)

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  ezyang

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• resolve ignored module method type annotations (#26683)

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  Elias Ellison

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• remove tools/setup_helpers/cudnn.py (#25876)

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  xuhdev

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• Add warning to anomaly_mode doc fix #26408 (#26615)

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  albanD

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• Vectorize unary operator erfinv (#26629)

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  pearu

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• Add derivative for cholesky_inverse (#26451)

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  vishwakftw

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• Move the CUDA implementation of trunc to ATen. (#25423)

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  xuhdev

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• Automatic update of fbcode/onnx to 23bb6ea1a71f08e200114a153f48bd7adb66d486 (#26441)

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  houseroad

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• C++ API parity: at::Tensor::set_data

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  pbelevich

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• Use optimized graph in Inline (essentially, making Inline recursive now). (#26489)

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  Mikhail Zolotukhin

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• Add 'optimized_graph' to Function. (#26488)

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  Mikhail Zolotukhin

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• Use std::mutex instead of std::call_once in Function when we initialize GraphExecutor. (#26571)

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  Mikhail Zolotukhin

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• Remove 'recurse' parameter from Inline. (#26487)

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  Mikhail Zolotukhin

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• Enable registering stackbased kernels with lambdas (#26658)

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  smessmer

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• Revert D17495679: [pytorch][PR] A few hub improvements

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  Karl Ostmo

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• Updates and extends TestNNDeviceType (#26638)

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  Mike Ruberry

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