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Summary: We should also add cost inference for sparse operators in backward pass later.

Differential Revision: D8789240

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@salexspb @mdschatz

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@pytorchbot retest this please

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pietern commented Jul 14, 2018

@pytorchbot retest this please

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@pytorchbot retest this please

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jspark1105 commented Jul 17, 2018

@salexspb and @mdschatz , I hope I addressed all the comments. If so, can we land?

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I'm fine with these changes. Happy to land.

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Cool. Can anyone accept the diff? @mdschatz @salexspb

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bddppq commented Jul 29, 2018

@pytorchbot retest this please

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@highker

@highker highker self-requested a review August 2, 2018 19:56

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@pytorchbot retest this please

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@highker please merge this PR. I don't have a write access :)

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highker commented Aug 3, 2018

@jspark1105 me neither.... @orionr could you help? Thanks

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@orionr @bddppq @Yangqing can anyone help merging this?

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orionr has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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orionr commented Aug 4, 2018

@jspark1105 and @highker if you don't have the "Import to Phabricator" button here that means you need to install FaceHub. Do "s facehub" internally and you should find steps. Let me know if you have issues. In the meantime, I've created the diff and we should be able to land it through fbcode and it will then arrive in master.

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@pytorchbot retest this please

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@pytorchbot retest this please

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@pytorchbot retest this please

…h#9314)

Summary:
We should also add cost inference for sparse operators in backward pass later.
Pull Request resolved: pytorch#9314

Differential Revision: D8789240

fbshipit-source-id: b5b32ab52741b3fb81f6af96777703bd59b24c37
goodlux pushed a commit to goodlux/pytorch that referenced this pull request Aug 15, 2018
…h#9314)

Summary:
We should also add cost inference for sparse operators in backward pass later.
Pull Request resolved: pytorch#9314

Reviewed By: orionr

Differential Revision: D8789240

Pulled By: jspark1105

fbshipit-source-id: 68c2170f294fe13bcc409276f599b5fa8a98bcd3
@ezyang ezyang added the merged label Jun 26, 2019
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10 participants