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Commits on Jan 3, 2019

• A quick fix for Stream operation errors on non-current device (pytorch#15689)

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  mrshenli

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• Break up generated tests (pytorch#13992)

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• flake8 hook fix (pytorch#15693)

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• Prevent VS2017 from emitting ambiguous symbol errors (pytorch#15697)

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• trace s_copy_ (pytorch#15690)

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• Add mkldnn conv double backward (pytorch#15686)

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  Ailing Zhang

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• Fix ONNX export of logical ops, including torch.ne, to have correct output datatype (pytorch#15677)

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  Spandan Tiwari

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• Port legacy reflection_pad1d to ATen (pytorch#15480)

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• bug fix in 3d group conv (pytorch#15625)

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• Port torch.arange to aten and parallelize on CPU.

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• Ignore flake8 warning about whitespace before ':' (pytorch#15663)

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• Add count_include_pad arg for PoolOpGradient on CPU and fix ARM performance issue. (pytorch#15651)

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• Unify the usage of Dequantize (pytorch#15685)

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• Fix vec256 inversion (pytorch#15659)

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• Add min/max on numbers to JIT

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• initialize with ident value in global reduction (pytorch#15653)

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  Natalia Gimelshein

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• Updating submodules

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• Support for Jetson Xavier (pytorch#15660)

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• Fixing cuda100 smoke tests

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• Remove PythonOp non-CPU path and PytorchOp (pytorch#15417)

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Commits on Jan 2, 2019

• Updating submodules

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• fix select after chunk op (pytorch#15672)

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• make flake8 failure blocking (pytorch#15675)

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• redo sleef build fix (pytorch#15549)

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• format conv_test.py to prepare D13562099 (pytorch#15632)

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• Fix torch.gesv args in doc

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• clamp fixes (pytorch#15479)

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• Updating submodules

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• Updating submodules

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Commits on Dec 31, 2018

• Fix typo in documentation

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Commits on Dec 30, 2018

• Make btriunpack work for high dimensional batches and faster than before (pytorch#15286)

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• Add count_include_pad arg for average_pool_op on CPU (pytorch#15593)

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• Remove TH/THC link for cholesky (pytorch#15595)

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• Concatenate directly into shared memory when constructing batches for numpy (pytorch#14534)

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• Add a patch for OSX with SDK<10.12 (pytorch#15615)

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