[PyTorch] Bump minimum cuDNN version for fused attention with FP8 current scaling

[timmoon10]

Description

#2012 added support for attention with FP8 current scaling, with a minimum requirement of cuDNN 9.13.1. However, I have experienced some correctness errors, so this PR bumps up the minimum version to cuDNN 9.14.0.

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

• Require cuDNN 9.14.0+ for fused attention with FP8 current scaling

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

[ksivaman]

/te-ci pytorch

[ksivaman]

LGTM, what is the numerical bug?