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author | Pieter Noordhuis <pcnoordhuis@gmail.com> | 2018-01-03 12:13:15 -0800 |
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committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | 2018-01-03 12:19:14 -0800 |
commit | 9835ca9bac135352cd356e5f87f832dcbbc6d1fa (patch) | |
tree | fc3b8ea55bbd45fd1b178364a60be8f85094d2fe /conda | |
parent | 387b4234ea3fe2a24e6922eb0436971add67627c (diff) | |
download | pytorch-9835ca9bac135352cd356e5f87f832dcbbc6d1fa.tar.gz pytorch-9835ca9bac135352cd356e5f87f832dcbbc6d1fa.tar.bz2 pytorch-9835ca9bac135352cd356e5f87f832dcbbc6d1fa.zip |
Ensure indices list in sparse optimizer tests is unique
Summary:
There were no dimensionality constraints to the generated indices
array, causing many examples being generated and filtered out. Instead,
we should ensure the probability of unique indices is high.
There is a better fix for this by using the `unique` keyword argument
to `hypothesis.extra.numpy.arrays`, but this is available only in
hypothesis version 3.28.0 and later.
This is related to #1536 and #1599.
Once this change has proven to be OK, we can modify the other tests
that now have health check suppression enabled as well.
Closes https://github.com/caffe2/caffe2/pull/1686
Reviewed By: Yangqing
Differential Revision: D6651789
Pulled By: pietern
fbshipit-source-id: d80886c9ccf0a7a842a7580a279f33a2d6cca97c
Diffstat (limited to 'conda')
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