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Commits on Jul 26, 2023

• [TP] Enable partial tensor add without redistribute (pytorch#105939)

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• Added ModuleInfo test for meta device ctx init (pytorch#105871)

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• inductor: support conv+binary foldinig for freezing path (pytorch#105048)

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• Fix error formatting string (pytorch#105935)

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• Improve FakeTensor to work with mixed meta-cpu embedding bag arguments (pytorch#105924)

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• Apply UFMT to all files in benchmarks/ (pytorch#105928)

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Commits on Jul 25, 2023

• [C10d] Move TCPStoreMasterDaemon to TCPStoreBackend. (pytorch#105184)

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• [C10d] Move protocol constants to TCPStoreBackend.hpp (pytorch#105164)

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• Revert "[Compiled Autograd] Move to torch::dynamo::autograd namespace (pytorch#105854)"

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• [pt2] add metas for _cholesky_solve_helper and cholesky_solve (pytorch#105867)

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• Revert "Slightly improve AOTAutograd logging with ViewAndMutationMeta (pytorch#105702)"

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• Only do TLS access when necessary in basicAutogradNotImplementedFallback (pytorch#105845)

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• Fix bug in basicAutogradNotImplementedFallback (pytorch#105660)

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• Update expected inference for torchbench sam (pytorch#105891)

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• [C10D] Extract some bits of TCPStore into TCPStoreBackend. (pytorch#105163)

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• [PT][FSDP] Combine _utils.py into _common_utils.py [1/3] (pytorch#105857)

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• Revert "Meff Attn Bias (pytorch#104310)"

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• [ONNX] Detailed diagnostics for 'perfect_match_inputs' (pytorch#105892)

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• [ONNX] Add primitives formatting for diagnostics (pytorch#105889)

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• [ONNX] Diagnostic option 'warnings_as_errors' (pytorch#105886)

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• [FSDP][Docs] Make model/optim state dict configs visible in docs (pytorch#105848)

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• [DocString] Fix incorrect api Examples (pytorch#105911)

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• Add const reference and std::move in opportunities detected by clang-tidy (pytorch#105815)

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• [inductor] Make OpenMP work in fbcode (pytorch#105777)

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• [inductor] Enable vectorization in fbcode (pytorch#105756)

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• [FSDP x dynamo] simplify registry keys (pytorch#104209)

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• [ONNX] Support ONNXFakeContext with op_level_debug (pytorch#105874)

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• Add option to disable rewriting index hints in default global save plan (pytorch#105861)

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• [export] Remove eliminate_dead_code (pytorch#105875)

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• [ROCm] reduce tolerance for triangular solve with well_conditioned set to True (pytorch#104425)

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• [easy] Minor torch.load docs fix (pytorch#105876)

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• add basic cuda support for float8 dtypes (pytorch#105807)

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• [PyTorch][ET] Collect Process Groups Mapping Info (pytorch#104373)

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• [ONNX] Export module as function (pytorch#105618)

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• [ONNX] Improve shape inference for Slice (pytorch#105755)

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