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Commits on Mar 9, 2022

• [PyTorch] Move is_nested_tensor_impl & add get_nested_tensor_impl_or_null (pytorch#73928)

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• [pytorch] flatten_indices function should use vector::resize instead of reserve (pytorch#73831)

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• [SR][easy] Stack/concat out variants do not segfault on empty inputs (pytorch#73704)

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• Add test/mobile to merge_rules.json

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• Fix Undefined variable in QInterpolateBenchmark

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• Check that PR base is default branch in trymerge.py

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Commits on Mar 8, 2022

• Parametrize some TestAutogradFunctional tests to use logging_tensor (pytorch#73854)

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• Clean up some tests to use common_utils.parametrize (pytorch#73853)

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• Move autograd functional tests to separate file (pytorch#73852)

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• Revert D34455360: Multisect successfully blamed D34455360 for test failures

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• [Quant] Qadd: Add qint8 support backed by xnnpack (pytorch#73663)

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• [CircleCI] Delete MacOS binary smoke tests

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• Use cub::DeviceSelect::UniqueByKey for EmbeddingBackward (pytorch#68376)

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• Add test with multiple ops (pytorch#73888)

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• [codemod][type-comments] Convert type comments in _lobpcg.py (pytorch#73088)

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• [ONNX] Fix onnx gather shape inference

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• Add Autocast support for Einsum (pytorch#71916)

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• Fix fx tracing for OpOverload (pytorch#73940)

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• ci: Migrate windows conda to GHA

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• [FSDP] Provide a utility API to allow users easily to set state_dict_type (pytorch#73716)

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• Back out "Revert D34524207: [pytorch][PR] remove _s_where" (pytorch#73579)

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• Fix segfault while real and imaginary attributes are set to a number (pytorch#73867)

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• [ROCM] Navi21 Enablement 5: Softmax kernels (pytorch#73545)

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• [codemod][type-comments] Convert type comments in examples.py (pytorch#73085)

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• Add logging for ProcessGroup backends. (pytorch#73702)

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• Fix nightly docker publish build

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• [JIT] log extract tool - dump NVFuser fallbacks instead of fusion groups (pytorch#73881)

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• Fix libtorch_cuda_linalg builds (pytorch#73896)

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• [ZeRO][BE] Clean up ZeRO tests (pytorch#73842)

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• [FSDP] Generalize fsdp_modules() (pytorch#73553)

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• [Qunat] Refactor reference module mapping (pytorch#72755)

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• [Model Averaging] Add a reference to hierarchical SGD (pytorch#73823)

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• [FSDP] Add always_wrap policy (pytorch#73687)

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• Fix docstring hiding due to pytorch#45689 (pytorch#73747)

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• record_function: add torchbind alternative API (pytorch#72301)

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