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[GH-ISSUE #296] [Question] How to autotune DeepGemm FP8 to maximize this baseline performance? #148

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opened 2026-10-26 21:13:43 +00:00 by bsakaguchi · 1 comment
bsakaguchi commented 2026-10-26 21:13:43 +00:00
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Originally created by @ghostplant on GitHub (Mar 25, 2026).
Original GitHub issue: https://github.com/deepseek-ai/DeepGEMM/issues/296

To maximize the performance of DeepGemm, do I need to call some pre-configuration / autotuning interface to maximize this performance for specific shape below?

# auto-tune needed or not?
deep_gemm.fp8_gemm_nt((a_fp8, a_s), (b_fp8, out1)
Originally created by @ghostplant on GitHub (Mar 25, 2026). Original GitHub issue: https://github.com/deepseek-ai/DeepGEMM/issues/296 To maximize the performance of DeepGemm, do I need to call some pre-configuration / autotuning interface to maximize this performance **for specific shape** below? ``` # auto-tune needed or not? deep_gemm.fp8_gemm_nt((a_fp8, a_s), (b_fp8, out1) ```
bsakaguchi commented 2026-10-26 21:13:44 +00:00
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@zheanxu commented on GitHub (Apr 17, 2026):

The FP8 GEMM automatically selects a good config based on built-in heuristics, so no explicit autotuning interface is required. If you want to achieve the absolute best performance for your specific shape, you can manually adjust the heuristics.

<!-- gh-comment-id:4264912850 --> @zheanxu commented on GitHub (Apr 17, 2026): The FP8 GEMM automatically selects a good config based on built-in heuristics, so no explicit autotuning interface is required. If you want to achieve the absolute best performance for your specific shape, you can manually adjust the heuristics.
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deepseek-ai/DeepGEMM#148
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