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[PyTorch] Fused dbias-cast-transpose in bias operation #1168

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Description

This PR modifies the bias operation (see the operation-based API in #707) so that it can launch a fused kernel for computing bgrad, FP8 dgrad, and FP8 dgrad transpose.

Once #1164 is merged, this could be extended to call a fused kernel for dgelu, bgrad, FP8 dgrad, and FP8 dgrad transpose. However, it may be better to defer that to a followup PR since it will require some infrastructure changes (e.g. we want to apply different fusions in the FP8 and non-FP8 cases).

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 refractor

Changes

  • Fused dbias-cast-transpose kernel in bias operation

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

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/te-ci pytorch

@timmoon10
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/te-ci pytorch

@timmoon10
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/te-ci pytorch

@timmoon10
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/te-ci pytorch

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