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Commits on Aug 8, 2022

• [BE] Add append_cxx_flag_if_supported macro (pytorch#82883)

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• ci: Bump max_available for windows gpu to 100 (pytorch#83018)

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• Fix typos in torch.package documentation (pytorch#82994)

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• Allow map location to meta device (pytorch#82603)

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• Fix error_inputs for diag (pytorch#82984)

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• [functorch] transpose_, t_ and aliases thereof batching rules (pytorch#82903)

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• [TorchTidy] Adding support for Device (pytorch#82787)

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• [Quant][fx][bc-breaking] Integrate BackendConfig with quantization flow (part 2) (pytorch#82557)

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• [ROCm] work-around missing hipProfilerStart/Stop (pytorch#82778)

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• [MPS][BE] Use same convenience dispatch method (pytorch#82982)

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• [temp mitigation][ios] add timeout to Run Build Test step (pytorch#83001)

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• [c10d] Fix async error in batch_isend_irecv (pytorch#82450)

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• properly compute batch_element_count (pytorch#82927)

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• Merge torchdim into functorch build (pytorch#82454)

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• Add a common wrapper for make_fx to handle args and kwargs (pytorch#82965)

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• add the operations needed for electra model (pytorch#82856)

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• [TorchTidy] Adding support for storing scalar values in profiling (pytorch#81843)

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• [composite compliance] eig_backward (pytorch#82957)

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• [composite compliance] quantile and nanquantile (pytorch#81767)

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• Update nan_to_num prims (pytorch#82908)

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• [functorch] fix unsqueeze_ batching rule (pytorch#82899)

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• [functorch] Add vmap in-place testing (pytorch#82898)

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• [functorch] refactor get_fallback_and_vmap_exhaustive (pytorch#82897)

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• [functorch] eliminate erroneous warning on import functorch (pytorch#82905)

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• [Profiler] Make KinetoEvent a view of Result (Part 4 (final), stragglers) (pytorch#81322)

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• [Profiler] Make KinetoEvent a view of Result (Part 3, forwarded from result_) (pytorch#81321)

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• [Profiler] Make KinetoEvent a view of Result (Part 2, python and stacks) (pytorch#81320)

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• [Profiler] Make KinetoEvent a view of Result (Part 1: trivial fields) (pytorch#81319)

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• [quant] Remove unneeded lines from APoT linear (pytorch#82909)

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• [torchdynamo hash update] update the pinned torchdynamo hash (pytorch#82959)

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• Properly compare floats in gemm-block-sparse-microkernel-tester (pytorch#82947)

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• [Refactoring] making the code more Pythonic (pytorch#82929)

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• [MPS] And native bitwise_[and|or|xor] (pytorch#82307)

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• Fix possible out-of-range error of 'as_nd' util function (pytorch#82393)

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Commits on Aug 7, 2022

• Remove flatbuffer types/headers from flatbuffer_loader.h (pytorch#82893)

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