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Commits on Nov 11, 2021

• OpInfos for new_blah functions and some _like functions (pytorch#67357)

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• Working POC of define-by-run quantization (pytorch#64676)

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• [Dist CI][BE] Run each test in its own process for test_distributed_spawn (pytorch#67901)

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• skip test_jit_legacy (pytorch#68129)

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• Automated submodule update: kineto (pytorch#67445)

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• Add complete type name in error message when fail to export model (pytorch#67750)

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• [SR] Fix aten::split schema (pytorch#68135)

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• [SR] Add runtime check to correct bad schema alias info (pytorch#67825)

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• [PyTorch Edge] Better error message when training attribute is not found (pytorch#68103)

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Commits on Nov 10, 2021

• Make torch.fx.experimental.fx2trt.passes a package (pytorch#68139)

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• add unpack_sequence and unpad_sequence functions (pytorch#66550)

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• Fix lambda function broke torch.save

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• Update unpack_dual to return named tuple (pytorch#68062)

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• [LT] Upstream backend interfaces (pytorch#67927)

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• Update rpc testing to include USE_TENSORPIPE directive (pytorch#68080)

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• don't include label in ci: sev issue (pytorch#68093)

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• [SR] Native implementation for aten::split (pytorch#67476)

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• Logger integration format (pytorch#67962)

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• don't hardcode mask type in mha (pytorch#68077)

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• torch.allclose opinfo (pytorch#68023)

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• Factor backend routing logic out of convolution forward (pytorch#67790)

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• Fixed deprection warnings with .data<T>() in SpectalOps.cpp (pytorch#67993)

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• [LTC] Upstream class BackendDevice (pytorch#68027)

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• fix gradcheck to generate valid input for forward AD complex (pytorch#68001)

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• Adds an optimizer instance variable to ChainedScheduler (pytorch#68010)

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• [PyTorch Edge] Don't use LeftRight in mobile (pytorch#66064)

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• [PyTorch] Avoid reading file from stream for 0 byte Tensor storage (pytorch#67787)

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• [PyTorch] Replace copy_ with data_ptr<float>() since input Tensor's dtype is guaranteed to be float (pytorch#67788)

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• aliasing fixes (pytorch#66977)

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• Fix ads dense arch regression (pytorch#68071)

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• remove Generate* macro files (pytorch#67940)

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• Add an option to disable reduced precision reductions for FP16 GEMM (pytorch#67946)

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• [nnc][mobile] temporarily disable quantization external functions (pytorch#68029)

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• Simplify example for nn.Flatten (pytorch#67472)

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• .github: Fix sccache for macOS workflows on push (pytorch#68094)

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