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Commits on Oct 1, 2019

• Fix zero_grad on view grads

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• Fuse module enhancements (#26457)

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  raghuramank100

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• Support layout() in script

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  James Reed

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• Add C++ torch::nn::HingeEmbeddingLoss (#27101)

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• Adds Device Generic Precision Tests to test_torch.py (#26762)

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  Mike Ruberry

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• Updating submodules

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• Add control for observers in Fake-quantize module (#27113)

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  raghuramank100

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• Support for add relu functional module (#26612)

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  raghuramank100

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• Cuts test_torch.py runtime in half by marking four tests as slow (#26789)

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  Mike Ruberry

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• make class types callable (#26743)

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  Elias Ellison

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• Set number of threads for operator_benchmarks (#27010)

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Commits on Sep 30, 2019

• Fix `toIValue` dict iteration (#26856)

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  davidriazati

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• separate out rpc to sync and async apis (#26570)

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• Module method destroy

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• Script for full android build to aars; script to run android tests (#26833)

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  IvanKobzarev

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• Add temporary torch::k{name} enum declarations (#27051)

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  Will Feng

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• Make static dispatch turn off variable before entering the kernel. (#26908)

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  ezyang

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• Updating submodules

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• Return NotImplemented from tensor arithmetic operators (#26507)

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• Don't apply should_run to the nightly/postnightly branches. (#27061)

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  ezyang

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• Work around a gcc-7 bug in building Debug version of Sleef (#26993)

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• Revert D17666050: [pytorch][PR] Fixed seek offset size to 64bit.

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• Add tuple constructor + to<std::tuple<Args...>> (#26668)

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  Bram Wasti

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• Integrate prepacked workaround in QuantFusion (#26939)

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• serialize autograd ops into its own namespace (#26761)

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  Wanchao Liang

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• Fold prepacked weight into module (#26579)

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  jerryzh168

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• Back out "Add int8 resize nearest 3d op in DNNLOWP" (#27056)

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• Fixed seek offset size to 64bit. (#27047)

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• Fix Windows CI

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• Make nonzero non differentiable as it supposed to be (#26980)

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  VitalyFedyunin

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• Default observer and fake-quant for backends (#26627)

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  raghuramank100

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• Emulate weight and activation only quant with fake quant, numerics test (#26625)

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  raghuramank100

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• Quantization aware training: Freeze batch norm support (#26624)

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  raghuramank100

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• Per channel fake quant (#26623)

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  raghuramank100

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• Add boxed fallback (#26368)

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