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Commits on Aug 26, 2019

• Adding Scalar add/mul. (pytorch#24447)

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• Implement name inference for mm, addmm (pytorch#24306)

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• Fix binary op name inference between unnamed and named tensors. (pytorch#24921)

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• Move test QAT tests to double precision to ensure numerics match (pytorch#25189)

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• Serialization for nn.quantized.functional modules (pytorch#24924)

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• Update mapping dictionary to support functionalmodules and pooling operations (pytorch#24804)

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• Work around for bias quantization for conv and linear operators (pytorch#24789)

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• bind autograd.backward and tensor.backward in TorchScript (pytorch#23913)

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• quant_fusion jit pass (pytorch#24427)

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• insert_quant_dequant jit pass (pytorch#24426)

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• per channel quantization support (pytorch#25134)

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• hyperparameter plugin (pytorch#23134)

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• Add Python/C++ torch.nn API parity test harness (pytorch#23852)

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• torch.from_numpy fix for np.int (pytorch#25139)

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Commits on Aug 24, 2019

• SubgraphMatcher: matching modules support. (pytorch#25075)

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Commits on Aug 23, 2019

• Revert "per channel quantization support (pytorch#24936)" (pytorch#25131)

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• add some sparse tensor ops support in TorchScript (pytorch#24967)

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• Add missing functions and methods for channelwise quantization (pytorch#24934)

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• per channel quantization support (pytorch#24936)

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• Per Channel quantization APIs (pytorch#24935)

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• Fix FIXME_default_names by storing static list of 64 none names (pytorch#24885)

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• fix annotated assignment (pytorch#25094)

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• Enable UBSAN test for FBGEMM in dynamic quant test (pytorch#25099)

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• Implement name inference for t(), transpose(...) (pytorch#24941)

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• Fixed test_numba_integration (pytorch#25017)

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Commits on Aug 22, 2019

• Adding quantized mul kernel

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• Revert D16949314: [jit] Fix bugs in assignment to optionals

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• Fix bugs in assignment to optionals (pytorch#24989)

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• Disable tsan for test_dataloader.py. (pytorch#25005)

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• Detect and handle NCCL errors appropriately in ProcessGroupNCCL. (pytorch#25012)

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• Load tensors directly from pickle archive

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• Fix for cdist backward for non-batch tensors (pytorch#22915)

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• Make observer scriptable

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• add support for multiple assignment statements (pytorch#24477)

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• Fix log_prob() in torch.distributions.Uniform, HalfCauchy and Gamma (pytorch#23017)

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