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Summary of Changes
Hello @ispobock, 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!
I've made a focused change to refine the naming convention for the 'sink' interface across the attention backend implementations. This involves consistently renaming the sk parameter and related internal variables to sinks or sink_ptr throughout the codebase. The primary goal is to unify the interface name, which improves compatibility and clarity for various attention backends, making the code more readable and maintainable.
Highlights
- Parameter Renaming in Triton Backend: The parameter
skhas been renamed tosinksin theforward_extendandforward_decodefunctions, ensuring consistent naming for the sink interface. - Triton Kernel Variable Updates: Internal Triton kernel functions and their parameters, such as
_fwd_kernel_stage2and_fwd_kernel, have been updated to usesink_ptrinstead ofsk_ptrandHAS_SINKinstead ofHAS_SK. - Unified Attention Function Signatures: All attention-related functions, including
decode_attention_fwd_normal,decode_attention_fwd_grouped,decode_attention_fwd, andextend_attention_fwd, now consistently usesinksas the parameter name for the sink interface. - Model Integration Update: The
gpt_oss.pymodel'sforward_coremethod has been updated to reflect the newsinksparameter name when calling the attention module.
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Code Review
This pull request provides a clean and consistent refactoring by renaming the sk variable and its derivatives to sinks. This change improves code clarity and readability across multiple files related to the attention mechanism, including Triton kernels. The new naming is more descriptive and has been applied correctly throughout the codebase. The changes are sound, and I have no further recommendations.
Motivation
unify sink interface name for better compatibility for more attention backends