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Summary: Pull Request resolved: pytorch#10239 Make Conv + BN fusion also work for 3D convolutions Reviewed By: duc0 Differential Revision: D9176314 fbshipit-source-id: b79721f4e6e4d59c452c657412e484ed6662adfd
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petrex
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Aug 27, 2018
* 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. ...
PenghuiCheng
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Sep 11, 2018
Summary: Pull Request resolved: pytorch#10239 Make Conv + BN fusion also work for 3D convolutions Reviewed By: duc0 Differential Revision: D9176314 fbshipit-source-id: 6604aa569c5c3afdb4480a5810890bc617e449c4
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Summary: Make Conv + BN fusion also work for 3D convolutions
Differential Revision: D9176314