[sgl-kernel code style] clean moe_align_block_size kernel token_cnts_buffer#8526
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Summary of Changes
Hello @BBuf, 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 performed a code style cleanup by removing an unused "token_cnts_buffer" from the "moe_align_block_size" kernel. This change simplifies the function's interface and eliminates an unnecessary memory allocation, contributing to cleaner and potentially more efficient code. The modification impacts both the core implementation and related benchmark and test files, ensuring the removal is consistent across the codebase.
Highlights
- Removal of Unused Buffer: The "token_cnts_buffer" variable and its associated parameter have been completely removed from the "moe_align_block_size" function across all its declarations, definitions, and calls.
- Streamlined Function Signatures: The function signatures for "moe_align_block_size" in both Python and C++ (CUDA and ROCm extensions) have been updated to reflect the removal of the "token_cnts_buffer" parameter, streamlining the interface.
- Deletion of Buffer Declarations: Declarations of "token_cnts_buffer" have been deleted from various files, including the main fused MoE implementation, benchmark scripts, and test files, ensuring consistency and reducing unnecessary memory allocation.
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Code Review
This pull request is a cleanup effort to remove the unused token_cnts_buffer from the moe_align_block_size kernel and its related functions. The changes are applied consistently across the Python and C++/CUDA codebase, including function definitions, calls, and corresponding updates in benchmarks and tests. The removal of the unused buffer is a good code hygiene practice. The changes look correct and I have no further comments.
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Split the python interface code change in another PR. |
Done. |
…oject/sglang into clean_moe_align_block_size_kernel
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Motivation
RT
Modifications
Accuracy Test
Benchmark & Profiling
Checklist