Resubmit #8322 with scipy version check#10775
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Summary: I've implemented affine grid generation for volumetric (5d) inputs. The implementation is based off of the spatial implementation, extended by one dimension. I have a few questions about my implementation vs. the existing one that I will add inline. I have some extensive test cases for the forward pass here: https://gist.github.com/elistevens/6e3bfb20d8d0652b83bd16b3e911285b However, they use `pytest.fixture` extensively, so I'm not sure the best way to incorporate them into the pytorch test suite. Suggestions? I have not tested backwards at all. Diff probably best viewed with whitespace changes ignored. Thanks for considering! Pull Request resolved: pytorch#8322 Differential Revision: D9332335 Pulled By: SsnL fbshipit-source-id: 1b3a91d078ef41a6d0a800514e49298fd817e4df
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PenghuiCheng
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Sep 11, 2018
Summary: Pull Request resolved: pytorch#10775 Differential Revision: D9458207 Pulled By: SsnL fbshipit-source-id: f2b0dbf2d236134afded9b15d8bf55ff98f50e7b
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