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Commits on Mar 2, 2022

• split typeid into its own test since it is its own library (pytorch#71909)

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• extract out tests for //c10/util:base (pytorch#71908)

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• create a c10 test suite (pytorch#71907)

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• move intrusive_ptr benchmark to shared build structure (pytorch#71413)

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• add benchmark to Bazel build (pytorch#71412)

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• extract //c10 to common build system (pytorch#71411)

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• [quant][fx] Add RNN reference module (pytorch#73386)

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• Make debug_pkl smaller by only emitting unique traces. (pytorch#73368)

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• Eliminate unused parameters in PyTorch (pytorch#73625)

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• [quant] Add support for multiple inputs in fusion pattern (pytorch#73572)

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• [Static Runtime] Fix a broken test & Add an out variant wrapper for mse_loss (pytorch#73574)

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• [cuDNN v8 API] cuDNN benchmark, convolution bwd / transposed convolution fwd, bfloat16, conv-bias-activation fusion (pytorch#60755)

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• [pkg] improve error message for module detection on saving pass (pytorch#73106)

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• [ROCM] Navi21 Enablement 4: Normalization kernels (pytorch#73543)

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• Deletes unused line in test_autocast_rnn (pytorch#73195)

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Commits on Mar 1, 2022

• only run complex autograd tests once

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• simplify run_test for distributed tests

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• parse TernaryIf as right associative, fix pytorch#68221 (pytorch#68416)

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• Write explicit meta-kernels for normal (pytorch#70089)

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• Unify checks for normal (pytorch#70087)

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• Fix a typo: add a missing space (pytorch#70086)

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• Bug fix: allow std 0 in the meta definition of normal_ (pytorch#70085)

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• [Quant][core][gpu] Implemented support for relu in quantized conv operator using cudnn (pytorch#73337)

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• [Quant][core][gpu] Implemented support for bias in quantized conv operator in cudnn (pytorch#73035)

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• [PyTorch] Add codegen unboxing ability (pytorch#69881)

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• [FSDP] Make summon_full_params a public method (pytorch#73116)

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• [Reland] Add BUILD_LAZY_CUDA_LINALG option (pytorch#73447)

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• ci: Migrate aws creds to managed IAM

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• Disable forward/backward correlation to workaround the profiler crash (pytorch#72904)

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• 'typename Base' is checked repeatedly (pytorch#72842)

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• Improve logging on ONNX symbolic helpers

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• (torch/elastic) skip logging structured error info if error_file is not set (pytorch#73477)

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• Remove AutoHeaders.RECURSIVE_GLOB from caffe2/ (pytorch#73227)

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• Reserve the memory for vector to save cost in gather_ranges_to_dense_op.h (pytorch#73540)

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• Revert D33767740: [pytorch][PR] Sparse CSR CPU: cuSolverSP backend for linalg.solve

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