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@ssnl ssnl commented Jul 1, 2018

Fixes #9079

There is room for speed-up for both functions (see #9083), but let's get this in to unblock #9052 .

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ssnl commented Jul 1, 2018

cc @vishwakftw

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

('inverse', new_t(20, 20), lambda t: [], None, float_types, False),
('geqrf', new_t(20, 20), lambda t: [], None, float_types, False,
unittest.skipIf(not TEST_MAGMA, "no MAGMA library detected")),
('svd', new_t(10, 10), lambda t: [], 'square', float_types, False,

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

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@ssnl is landing this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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Nice catch.

zdevito pushed a commit to zdevito/ATen that referenced this pull request Jul 2, 2018
Summary:
Fixes pytorch/pytorch#9079

There is room for speed-up for both functions (see pytorch/pytorch#9083), but let's get this in to unblock #9052 .
Closes pytorch/pytorch#9082

Reviewed By: ezyang

Differential Revision: D8711687

Pulled By: SsnL

fbshipit-source-id: f043a9bf55cb6aec5126c3331d35761f7aa3f8e3
zdevito pushed a commit to zdevito/ATen that referenced this pull request Jul 13, 2018
Summary:
Fixes pytorch/pytorch#9079

There is room for speed-up for both functions (see pytorch/pytorch#9083), but let's get this in to unblock #9052 .
Closes pytorch/pytorch#9082

Reviewed By: ezyang

Differential Revision: D8711687

Pulled By: SsnL

fbshipit-source-id: f043a9bf55cb6aec5126c3331d35761f7aa3f8e3
@ssnl ssnl deleted the svd branch July 18, 2018 19:13
goodlux pushed a commit to goodlux/pytorch that referenced this pull request Aug 15, 2018
Summary:
Fixes pytorch#9079

There is room for speed-up for both functions (see pytorch#9083), but let's get this in to unblock pytorch#9052 .
Closes pytorch#9082

Reviewed By: ezyang

Differential Revision: D8711687

Pulled By: SsnL

fbshipit-source-id: f043a9bf55cb6aec5126c3331d35761f7aa3f8e3
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SVD and eig using CUDA is broken

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