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Commits on Oct 24, 2022

• Fix typo under docs directory (pytorch#87583)

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• Make me codeowner of test_aotdispatch.py (pytorch#87624)

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• Fix bernoulli functionalization. (pytorch#87573)

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• ATen/native (6/6): Use per-operator headers (pytorch#75576)

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• ATen/native (5/6): Use per-operator headers (pytorch#75575)

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• ATen/native (4/6): Use per-operator headers (pytorch#75574)

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• ATen/native (3/6): Use per-operator headers (pytorch#75573)

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• [CI] Fix triton wheel build (pytorch#87461)

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• Add some common tools to docker base (pytorch#86993)

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• [functorch] dont compute expected output multiple times (pytorch#86202)

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• Upgrade actions/upload-artifact to v3 (pytorch#87553)

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• [inductor] Prevent aggressive fusion during inductor lowering (pytorch#87447)

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• [dynamo] fix explain (pytorch#87640)

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• ada lovelace (arch 8.9) support (pytorch#87436)

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• small improvement to error message in fx interpreter (pytorch#87599)

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• [ONNX] Enable test_fill script test (pytorch#79555)

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• cpp docs push fix (pytorch#87614)

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• Add codeowners for functorch (pytorch#86213)

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• New feature for issue pytorch#85575. (pytorch#86514)

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• [Vulkan][TCC] Implement tests for hardtanh, hardtanh_, relu and relu_ (pytorch#87506)

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• Fix distributed issue by including distributed files (pytorch#87615)

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• [dynamo] Support class members in nn modules (pytorch#87531)

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• attempted fix for nvrtc with lovelace (pytorch#87611)

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• [FSDP] Fix use_orig_params=True + AC (pytorch#87413)

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• Add distributed dynamo benchmarking utils (pytorch#87419)

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• Fix accuracy minifier (pytorch#87606)

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• sync AveragedModel buffers when use_buffers=False (pytorch#84054)

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• [BE][einsum] add small comment explaining an invariant (pytorch#87264)

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• [FSDP] summon_full_params() in computation stream (pytorch#86836)

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• [Quant][docs] Add README for BackendConfig (pytorch#86523)

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• [FSDP][2/N] Remove params_with_grad (pytorch#87480)

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• [FSDP][1/N] Rework clip_grad_norm_() and tests (pytorch#87479)

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• [FSDP][Docs] Clarify warnings to mention collectives (pytorch#87478)

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• [FSDP] Rename streams (pytorch#86833)

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• [FSDP] Use reduce_scatter_tensor() (pytorch#87240)

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