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Commits on Nov 6, 2018

• Error msg on TCP backend (pytorch#13596)

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• Mixed precision DDP hang fix and fine-grained option for DDP perf (pytorch#13496)

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• Note on Tensor Creation

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• Append parameters when checking graphs for TorchScript Methods (pytorch#13553)

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Commits on Nov 5, 2018

• Add explicit c10:: namespace to converter (pytorch#13593)

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• Add new style broadcast support in c10d/gloo (pytorch#13497)

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• Add new style allreduce support in c10d/gloo (pytorch#13426)

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• Add reduce support in c10d/gloo (pytorch#13425)

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• Add allgather support in c10d/gloo (pytorch#13424)

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• Add gather support in c10d/gloo (pytorch#13423)

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• Add scatter support in c10d/gloo (pytorch#13422)

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• Speed up CPU threshold and relu implementation (pytorch#13182)

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• Make the inception onnx test more stable

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• Move Half.{h, cpp} and Half-inl.h to c10 (pytorch#13361)

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• Move ATen/core/Macros.h to c10/macros/Macros.h

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• Add overload of ProcessGroup.allreduce with list of tensors (pytorch#13576)

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• Remove half_support.* (pytorch#13534)

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• Add diag_embed to ATen and torch (pytorch#12447)

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• Roll operator t32802531 (pytorch#13261)

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• Rename dim(i) -> size(i) - 1/2

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• fbgemm submodule update (pytorch#13562)

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• Stop depending on static analysis of tensor types in graph fuser (pytorch#13387)

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• Add Int8BatchPermutation op in DNNLOWP (pytorch#13539)

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• 3D Conv in NHWC layout (pytorch#12733)

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• add explicit fpga context (pytorch#13318)

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• fix handling of single input in gradcheck (pytorch#13543)

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• Kill more weird constructors on Tensor

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Commits on Nov 4, 2018

• add a few comments on layout after im2col (pytorch#12429)

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• update fbgemm submodule (pytorch#13547)

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• Duplicate bias blobs shared by different conv ops to handle scale correctly (pytorch#13538)

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• remove unnecessary files (pytorch#13537)

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• omit group conv NHWC test for HIP (pytorch#13554)

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Commits on Nov 3, 2018

• Include caffe2 proto headers in pytorch package data (pytorch#13217)

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• Include lib subdir in caffe2 include dirs path (pytorch#13216)

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• remove unused use_scratch argument from batch_matmul (pytorch#11745)

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