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Commits on Jan 20, 2019

• Unify device() return type in Stream, Event, and Tensor (pytorch#16150)

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• Replace use of ConstantLike with with ConstantOfShape (pytorch#16095)

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  Spandan Tiwari

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Commits on Jan 19, 2019

• Fix LBFGS issue (pytorch#16167)

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• Allow for concurrent quantization in FullyConnectedDNNLowPOp (pytorch#16174)

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• Support ConstantOfShape in Caffe2 ONNX Backend (pytorch#16108)

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• Separate affine_channel from math and optimize it (pytorch#16135)

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• Pass IValue from c10 dispatcher to caffe2 operator (pytorch#16065)

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• Make c10 dispatcher use boxed kernel function pointers (pytorch#16051)

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Commits on Jan 18, 2019

• add back NNPACK in PyTorch (pytorch#15924)

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• improve performance of unique with inverse indices (pytorch#16145)

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• fix for clang-tidy (pytorch#16164)

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• Change current device in stream context manager if necessary (pytorch#16128)

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• Fix SoftmaxOps (pytorch#16049)

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• rest of uses for deprecation of dims() in Tensor (pytorch#16118)

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• RNN operators should inherit step_net device_options (pytorch#16086)

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• Add implicit optional unwrapping (pytorch#15587)

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• Add defined() to caffe2::Tensor (pytorch#16125)

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• Remove ATen/Half.h and ATen/core/Half.h forwarding headers.

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• Port legacy any(*) to ATen

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• Improve pack_sequence and pack_padded_sequence error message (pytorch#16084)

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• TCP init method race condition fix (pytorch#15684)

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• Remove caffe2::Tensor copy constructor (pytorch#15416)

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• Fix RERUN_CMAKE

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• Cleanup includes in python_print.cpp.

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  Mikhail Zolotukhin

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• Refactor attributes.h (pytorch#16098)

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  Mikhail Zolotukhin

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• Fix export macros (pytorch#15856)

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• Remove some dependencies from ivalue.h to ATen (pytorch#15855)

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• Code style cleanup (pytorch#15854)

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Commits on Jan 17, 2019

• Use intrusive_ptr for Blob in IValue (pytorch#16052)

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• Move c10 dispatcher back to ATen/core (pytorch#16050)

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• Moving cuda-convnet2 to the internal fb dir to satisfy internal dependencies. (pytorch#16104)

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• further wildcard cleanups (pytorch#16041)

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• Refactor _jit_internal (pytorch#16058)

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• Include all Caffe2 headers in Python installations (pytorch#16124)

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• Add comment to explain rnn bias vectors (pytorch#15843)

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