[PyTorch] Use FP16 tols for distributed tests with TF32 compute

[timmoon10]

Description

#1806 relaxed the numerical tolerances for the distributed tests using FP32 because they are actually doing compute in TF32. However, it seems the tolerances are still too tight because we are still seeing test failures on some systems. Since TF32 has the same number of mantissa bits as FP16, this PR drops the FP32 tolerances to match the FP16 tolerances in torch.testing.assert_close.

Type of change

• Documentation change (change only to the documentation, either a fix or a new content)
• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Infra/Build change
• Code refactoring

Changes

• Use FP16 tols for distributed tests with TF32 compute

Checklist:

• I have read and followed the contributing guidelines
• The functionality is complete
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes

[timmoon10]

/te-ci pytorch L1

[timmoon10]

/te-ci pytorch L1

[timmoon10]

/te-ci pytorch L1

[timmoon10]

/te-ci pytorch L1