Add OpInfo test and fix a couple cases (#66294)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/66294
In this PR:
- OpInfo for forward AD now checks batched forward grad when `op.check_batched_grad=True`
- Adds setting to disable the test for individual ops `check_batched_forward_grad` and disable for the ops here: https://github.com/pytorch/pytorch/issues/66357
Fixes some more failures:
- Make Forward AD metadata less strict by allowing stride to differ when size is 1
- Fix sum batching rule when logical tensor is a scalar and dim is unspecified
- Batching rule for `_reshape_alias`
- ~Batching rules now preserve storage offset for view operator that return non-zero storage offset~ (moved to previous PR)
Test Plan: Imported from OSS
Reviewed By: zou3519, albanD
Differential Revision: D31842020
Pulled By: soulitzer
fbshipit-source-id: 3517a8fb9d6291fccb53c0b1631eab5bbb24ebd1
