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👋 Hi! Thank you for contributing to the TileLang project.

Please remember to run bash format.sh in the root directory of the project to ensure your changes are properly linted and formatted. This will help ensure your contribution passes the format check.

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Summary of Changes

Hello @xuchangtolearn, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request resolves a numerical precision bug in the Flash Attention decoding example by removing a redundant initialization step for a shared memory buffer. This change ensures more accurate computations within the attention mechanism.

Highlights

  • Precision Bugfix: This pull request addresses and fixes a reported precision issue within the flash_attn_split function in the Flash Attention decoding example.
  • Redundant Code Removal: An unnecessary T.fill(K_shared, 0) operation, which was contributing to the precision problem, has been removed.
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Code Review

This pull request removes a line of code, T.fill(K_shared, 0), from the flash_attn_split macro.

My analysis of the surrounding code confirms that this operation is redundant. The K_shared buffer, which is initialized by this T.fill call, is used in a T.gemm operation. However, the parts of the buffer that might not be overwritten by a subsequent T.copy operation correspond to padded elements. The results of the T.gemm for these padded elements are correctly masked out and replaced with -T.infinity before they can affect the final result.

Therefore, removing this T.fill is a valid optimization that cleans up the code and may offer a minor performance benefit by eliminating an unnecessary shared memory write. The pull request title indicates this also resolves a precision issue, which is plausible given the complexities of JIT compilation and floating-point optimizations. The change is sound and improves the code.

@LeiWang1999 LeiWang1999 merged commit 98f93db into tile-ai:main Jul 25, 2025
4 checks passed
RubiaCx pushed a commit to RubiaCx/tilelang that referenced this pull request Nov 24, 2025
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2 participants