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Commits on Jan 7, 2022

• [jit] Split Union type and Optional type to separate impl file. (pytorch#69483)

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• [jit][edge] Create DynamicType for OptionalType in mobile. (pytorch#68137)

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• [jit] Add conformance test for DynamicType with server JIT types. (pytorch#69482)

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• [jit] Implement DynamicType for TorchScript runtime. (pytorch#68136)

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• Fix scatter for empty indexes (pytorch#70662)

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• [PyTorch] Outline destructor of CppFunction (pytorch#63688)

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• Dispatch to at::convolution intead of at::_convolution in _convolution_double_backward (pytorch#70661)

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• [SR] Give VarStackNodeWrapper an iterator (pytorch#69922)

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• Add native impl of gelu for QuantizedCPU (pytorch#69968)

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• [PyTorch] Move prim string ops to JIT op registry (pytorch#70501)

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• [PyTorch][JIT] Don't refcount Type singletons (pytorch#69579)

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• No-batch-dim support for ConvNd (pytorch#70506)

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Commits on Jan 6, 2022

• Fix multiplication of 0-D sparse tensors (pytorch#70749)

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• [pytorch][aten][cuda] fix LpNormFunctor (pytorch#70601)

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• Drop some unused variables (pytorch#70879)

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• Add forward compatability tests in CI (pytorch#64139)

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• Remove unnecessary sync in linalg.det (pytorch#67014)

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• Make linalg.lu_factor structured (pytorch#66934)

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• Add contiguous_strides as a correct replacement of defaultStride (pytorch#67789)

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• Add linalg.lu_factor (pytorch#66933)

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• Copy: Fix conj bit being ignored on type mismatch (pytorch#68963)

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• Support Sparse CSR transpose. Fix clang-tidy warnings. (pytorch#70582)

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Commits on Jan 5, 2022

• Jiterates more ops (pytorch#70663)

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• [PyTorch] Remove the List/Dict move operations (pytorch#69370)

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• reduce igamma instantiations (pytorch#70666)

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• Document torch.quantile interpolation kwarg (pytorch#70637)

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• Copy: Avoid extra dispatch in type-mismatch case (pytorch#68950)

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• Fix generating files for Vulkan on Windows (pytorch#69696)

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• NNAPI: Add qint16 support via int16 (pytorch#70621)

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• [PyTorch][Static Runtime] Support memory planning for torch.to() w/o requiring copying (pytorch#67223)

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• Support cloning CSR tensors (pytorch#70581)

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• Remove backward op for slow 3d transposed convolution (pytorch#69933)

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• don't unsqueeze every stack arg if possible (pytorch#70288)

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Commits on Jan 4, 2022

• Copy: Re-use existing neg and conj kernel implementations (pytorch#68949)

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• fractional_max_pool2d_backward: port to structured kernel (pytorch#68245)

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