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Fix FLOPS calculation for bench_trtllm_gen_mla.py

Details in #1638

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Summary of Changes

Hello @RayWang96, 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 addresses an inaccuracy in the FLOPS calculation within a specific benchmarking script. By adjusting the formula to use the average sequence length, it ensures that the reported performance metrics are more precise and reflective of typical workloads, thereby enhancing the reliability of benchmark results.

Highlights

  • FLOPS Calculation Correction: The script bench_trtllm_gen_mla.py now correctly calculates FLOPS by using the average sequence length (avg_seq_len) instead of the maximum sequence length (seq_len) in its formula.
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Code Review

This pull request corrects the FLOPS calculation in the bench_trtllm_gen_mla.py benchmark script. The change involves calculating the average sequence length of the batch and using it in the FLOPS formula instead of the maximum sequence length. This is a correct change that leads to a more accurate performance metric for the benchmark, given its use of variable sequence lengths. The implementation is sound and effectively resolves the issue.

ms = np.median(measurements)
flops = (
2
* batch_size
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@yzh119 yzh119 Sep 5, 2025

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Or removing the batch_size here and multiply sum(seq_lens) instead?

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You're right. It is simpler.

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LGTM, thanks for the fix!

@yzh119 yzh119 enabled auto-merge (squash) September 5, 2025 07:56
@yzh119 yzh119 changed the title Fix FLOPS calculation for bench_trtllm_gen_mla.py bugfix: Fix FLOPS calculation for bench_trtllm_gen_mla.py Sep 5, 2025
@yzh119 yzh119 disabled auto-merge September 5, 2025 07:56
@yzh119 yzh119 enabled auto-merge (squash) September 5, 2025 07:56
@yzh119 yzh119 merged commit 17978a3 into flashinfer-ai:main Sep 5, 2025
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2 participants