Add Maxpool to shape analysis / Opinfo (#63530)
authorElias Ellison <eellison@devfair044.h1.fair>
Wed, 15 Sep 2021 20:43:12 +0000 (13:43 -0700)
committerFacebook GitHub Bot <facebook-github-bot@users.noreply.github.com>
Wed, 15 Sep 2021 20:44:33 +0000 (13:44 -0700)
commit2626cd3ba4452234ac82501d7959a4c5ca6bf063
tree5d778f02881e7552720ea651170d321cfd2c9024
parent425f173f9d8cb41988ff03fff316ff8424bcd521
Add Maxpool to shape analysis / Opinfo (#63530)

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/63530

how to review: pretty much just check that the inputs generated are a good representation of the op semantics, that should be sufficient for correctness, and then you can also double check the op size semantics by going to https://codebrowser.bddppq.com/pytorch/pytorch/ typing in native::{op_name} and looking at the op implementation as a bonus if you want

Test Plan: Imported from OSS

Reviewed By: driazati

Differential Revision: D30738147

Pulled By: eellison

fbshipit-source-id: cf52339e572ee04e0d6167fd95d8a82d58ea7706
torch/csrc/jit/runtime/symbolic_shape_registry.cpp
torch/testing/_internal/common_methods_invocations.py