Stop using symbolic override for tracing RNNs #10638
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apaszke
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zdevito
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Looks good from my end. But I not very familiar with the existing onnx override code.
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Summary: This disables the symbolic override hacks and makes tracing emit the recently added ATen ops for RNNs (`aten::lstm`, `aten::gru`, ...). I managed to reuse pretty much all of the translation code for their symbolics. zdevito Pull Request resolved: pytorch/pytorch#10638 Differential Revision: D9385830 Pulled By: apaszke fbshipit-source-id: ff06ef7b1ae7c3b7774825e0991bc3887e1ff59b
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* upstream/master: (89 commits) move HeatmapMaxKeypointOp unittest to oss fix xfails involving literals (pytorch#10905) Bag of Distributions doc fixes (pytorch#10894) Remove FIXME_zerol() from test_jit.py (pytorch#10900) Increase BC for PackedSequence ctor (pytorch#9864) Remove ability of Scalars to hold Tensors. Begin a bestiary of MSVC/NVCC bugs. (pytorch#10883) Prevent JIT from overspecializing to every single size configuration (pytorch#10844) Handling failing test on ROCm. Update mobile predictor caller's interface Cache isContiguous and numel Create class constant for string literal 'blob_names' Conv BN fusion for 3D conv (pytorch#10239) Stop using symbolic override for tracing RNNs (pytorch#10638) Add registry to pybind_state (pytorch#10759) Remove the nanopb submodule Create at::linear (pytorch#10799) Refactor THCNumerics and add common math functions for at::Half (pytorch#10301) Remove Tensor constructor of Scalar. (pytorch#10852) Revert D9492561: [pytorch][PR] Moving the operator argument to the front for kernelPointwiseApply. ...
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Summary: This disables the symbolic override hacks and makes tracing emit the recently added ATen ops for RNNs (`aten::lstm`, `aten::gru`, ...). I managed to reuse pretty much all of the translation code for their symbolics. zdevito Pull Request resolved: pytorch#10638 Differential Revision: D9385830 Pulled By: apaszke fbshipit-source-id: ff06ef7b1ae7c3b7774825e0991bc3887e1ff59b
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This disables the symbolic override hacks and makes tracing emit the recently added ATen ops for RNNs (
aten::lstm,aten::gru, ...). I managed to reuse pretty much all of the translation code for their symbolics.@zdevito