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Commits on Mar 12, 2022

• Revert D34803275: [Quant][core][gpu][improvement] Refactored implementation for conv2d_cudnn to use packed parameters

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• Revert D34641680: [Quant][core][refactorization] Refactored qconv_unpack.cpp into an implementation file and higher level call registration and definition file

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• [Quant][core][refactorization] Refactored qconv_unpack.cpp into an implementation file and higher level call registration and definition file (pytorch#73773)

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• [Quant][core][gpu][improvement] Refactored implementation for conv2d_cudnn to use packed parameters (pytorch#73510)

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• [AutoAccept][Codemod][FBSourceClangFormatLinter] Daily arc lint --take CLANGFORMAT

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• [BC-Breaking] Remove redundant fsdp prefix (pytorch#73791)

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• [fx][acc_tracer] fix defaulted placeholder normalization (pytorch#73406)

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• [BE] Add optional step to upload coredumps

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Commits on Mar 11, 2022

• [PyTorch Distributed] Update documentation about NCCL environment variables (pytorch#74006)

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• [ONNX] Remove dangling print in repeat_interleave

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• [JIT] add keep_unique_names arg to canonicalize python bindings (pytorch#74074)

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• Revert D33716039: [pytorch][PR] Add ONEDNN quantization backend

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• [PyTorch] Move get_nested_tensor_impl to header (pytorch#73998)

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• [PyTorch] Add stub NestedTensor_is_contiguous function (pytorch#73997)

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• Add ONEDNN quantization backend (pytorch#69820)

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• regenerate flatbuffer header (pytorch#73810)

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• [Profiler] Specialized AppendOnlyQueue (pytorch#73409)

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• [jiterator] sigmoid : complex dtypes (pytorch#73643)

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• [quant][fx] Fully align convert with the reference model design and simplify the implementation (pytorch#73863)

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• Automated submodule update: FBGEMM (pytorch#74088)

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• linalg_solve_triangular should not be a method

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• Revert D34604068: [PyTorch] [Model Tracer] Use c10::Synchronized<T> for kernel dtype tracer

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• Revert D34604067: [PyTorch] [Model Tracer] Use c10::Synchronized<T> for custom classes tracer

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• Revert D34604066: [PyTorch] [Model Tracer] Use c10::Synchronized<T> for build features tracer

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• Revert D34645509: [PyTorch] Update Synchronized<T>::withLock() to return the type/value from the aceepted callable

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• Revert D34645508: [PyTorch] Use c10::Synchronized<T> in RWSafeLeftRightWrapper

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• fix: nn.Module allowing for expected Mixin MRO

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• Revert D34800969: [PyTorch] Add unit test for c10::Synchronized<T>

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• Revert D34814800: [AutoAccept][Codemod][FBSourceClangFormatLinter] Daily arc lint --take CLANGFORMAT

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• [Quant][core] Merged conv packed params and linear packed params (pytorch#73486)

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• [AutoAccept][Codemod][FBSourceClangFormatLinter] Daily arc lint --take CLANGFORMAT

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• [PyTorch] Add unit test for c10::Synchronized<T> (pytorch#74062)

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• [PyTorch] Use c10::Synchronized<T> in RWSafeLeftRightWrapper (pytorch#74061)

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• [PyTorch] Update Synchronized<T>::withLock() to return the type/value from the aceepted callable (pytorch#74060)

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• [PyTorch] [Model Tracer] Use c10::Synchronized<T> for build features tracer (pytorch#73725)

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