[PyTorch] Remove stale xfail for selective attention recompute

[negvet]

Description

Please include a brief summary of the changes, relevant motivation and context.

Fixes # (issue)

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

Please list the changes introduced in this PR:

• Change A
• Change B

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

[negvet]

/te-ci pytorch

[greptile-apps]

Confidence Score: 5/5

The PR appears safe to merge because it only enables an existing test whose saved-tensor lifecycle is supported by the current implementation.

Summary

This PR removes a stale expected-failure marker from the selective attention recompute hybrid-quantization test.

• Deletes the dedicated AttributeError xfail definition.
• Allows the bitwise recompute comparison to run normally on supported hardware.
• Retains the separate expected failure for unsupported columnwise per-tensor FP8 configurations.

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