Do not use TF32 matmul in linalg and DDP tests (#56114)
Summary:
This PR does several things to relax test tolerance
- Do not use TF32 in cuda matmul in test_c10d. See https://github.com/pytorch/pytorch/issues/52941.
- Do not use TF32 in cuda matmul in test_linalg. Increase atol for float and cfloat. See https://github.com/pytorch/pytorch/issues/50453
The tolerance is increased because most linear algebra operators are not that stable in single precision.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56114
Reviewed By: ailzhang
Differential Revision: D28554467
Pulled By: ngimel
fbshipit-source-id: 90416be8e4c048bedb16903b01315584d344ecdf
