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apaszke
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torch/nn/utils/rnn.py
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test failure looks legit: Lines 2228 to 2253 in 372d1d6 |
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| # Using an `*args` and an if statement on `len(args)` breaks BC of the | ||
| # calling pattern `PackedSequence(data=..., batch_sizes=...)`, so we | ||
| # have to provide two arguments with names `data` and `batch_sizes`. | ||
| # |
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@apaszke does this look good now? |
apaszke
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Aug 27, 2018
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. ...
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Summary: PackedSequence is never supposed to be created by user, but unfortunately some community repo is already doing this (e.g., [here](https://github.com/huggingface/torchMoji/blob/7c191048ce906fc0404fe156827d97cb990ebecb/torchmoji/model_def.py#L218-L229)). Some change we made break the calling pattern `PackedSequence(data=x, batch_sizes=y)`. This patch adds back support for that. Pull Request resolved: pytorch#9864 Differential Revision: D9011739 Pulled By: SsnL fbshipit-source-id: 0e2012655d7f4863ec54803550df30874ec35d75
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PackedSequence is never supposed to be created by user, but unfortunately some community repo is already doing this (e.g., here). Some change we made break the calling pattern
PackedSequence(data=x, batch_sizes=y). This patch adds back support for that.