Complex autograd support for torch.{baddbmm, addbmm, addmm, addmv} (#50632)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/50632
I'll port the following method tests in follow-up PRs:
`'baddbmm', 'addbmm', 'addmv', 'addr'`
After the tests are ported to OpInfo based tests, it would also be much easier to add tests with complex alpha and beta values.
Edit- it seems like it's hard to port the broadcasting variant tests because one ends up skipping `test_inplace_grad` and `test_variant_consistency_eager` even for the case when inputs are not required to be broadcasted.
Test Plan: Imported from OSS
Reviewed By: navahgar
Differential Revision: D25947471
Pulled By: anjali411
fbshipit-source-id: 9faa7f1fd55a1269bad282adac2b39d19bfa4591
