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author | Gerard Goossen <ggoossen@fb.com> | 2019-03-22 06:33:24 -0700 |
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committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | 2019-03-22 06:36:25 -0700 |
commit | 46990c20fa867aa29e049f7664da071e0cfc9c95 (patch) | |
tree | 0dd1350e4121e3c6e0a9c6ca974ca39a795f0d16 /.gitignore | |
parent | 77a7285764334cc50eb573c3d2614ffefba4a29f (diff) | |
download | pytorch-46990c20fa867aa29e049f7664da071e0cfc9c95.tar.gz pytorch-46990c20fa867aa29e049f7664da071e0cfc9c95.tar.bz2 pytorch-46990c20fa867aa29e049f7664da071e0cfc9c95.zip |
Verify def before infer fensor (#18129)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18129
A lot of tensor interference function assume the operator passes the schema.
So call Verity to make sure this is actually the case.
Created diff before to add checking in Concat (https://github.com/pytorch/pytorch/pull/17110), but I encountered lot more places where this is assumed (for example ElementwiseOpShapeInference)
Reviewed By: mdschatz
Differential Revision: D14503933
fbshipit-source-id: cf0097b8c3e4beb1cded6b61e092a6adee4b8fcb
Diffstat (limited to '.gitignore')
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