Move fused RNN kernels into ATen#10305

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apaszke wants to merge 3 commits intopytorch:masterfrom

apaszke:fused_rnn_move

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apaszke commented Aug 7, 2018

As in the title. I also did a small refactor that let us loose almost 400 loc. This is a first step in moving the RNN code to C++.


          Move fused RNN kernels to ATen

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apaszke requested review from colesbury, ezyang, gchanan, soumith and zdevito as code owners

August 7, 2018 15:08

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apaszke commented Aug 7, 2018

cc @csarofeen (author of the kernels)

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ezyang commented Aug 7, 2018

Can we get a billing of changes?

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apaszke commented Aug 7, 2018 •

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Summary of changes:

Kernel changes

Gradients are now optional (can be nullptr) in the backward LSTM kernel. This lets us avoid allocating a zero-filled tensor in backward.
Changed slightly how the indexing works (ATen's TensorInfo doesn't match 100% with THC's). Biases should always be 1D, all other tensors are either 2D, or are flattened to their 1D views when they are contiguous

Dispatch code changes

We only instantiate 2 specializations for every kernel now (we created 4 previously)
Dispatch code relies on templates entirely now
Abstracted certain duplicated patterns into helper functions
Used more verbose names for variables

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          Remove fused kernels from THCUNN

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ezyang commented Aug 7, 2018

This all seems basically fine. I didn't approve it yet because I want docs on NEVER_SKIP, everything else is optional.

apaszke force-pushed the fused_rnn_move branch from 9f423f2 to 97c9812 Compare

August 7, 2018 16:06


          Build and review fixes

1a78db4

apaszke force-pushed the fused_rnn_move branch from 97c9812 to 1a78db4 Compare

August 7, 2018 16:07

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zdevito pushed a commit to zdevito/ATen that referenced this pull request


          Move fused RNN kernels into ATen (#10305)

c13d8ca

Summary:
As in the title. I also did a small refactor that let us loose almost 400 loc. This is a first step in moving the RNN code to C++.
Pull Request resolved: pytorch/pytorch#10305

Reviewed By: ezyang

Differential Revision: D9196227

Pulled By: apaszke

fbshipit-source-id: 54da905519aade29baa63ab1774a3ee1db5663ba

goodlux pushed a commit to goodlux/pytorch that referenced this pull request


          Move fused RNN kernels into ATen (pytorch#10305)

c8b4636

Summary:
As in the title. I also did a small refactor that let us loose almost 400 loc. This is a first step in moving the RNN code to C++.
Pull Request resolved: pytorch#10305

Reviewed By: ezyang

Differential Revision: D9196227

Pulled By: apaszke

fbshipit-source-id: 54da905519aade29baa63ab1774a3ee1db5663ba

mys007 mentioned this pull request

AttributeError: module 'torch.nn._functions.thnn' has no attribute 'rnnFusedPointwise' loicland/superpoint_graph#98

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ezyang ezyang approved these changes

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