[GH-ISSUE #104] Grouped WGRAD kernel #58

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opened 2026-10-26 21:11:29 +00:00 by bsakaguchi · 2 comments
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Originally created by @cassanof on GitHub (May 20, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepGEMM/issues/104

Hey! I took a look at the new WGRAD kernel; really nice release! from what it looks like, there isn't a grouped kernel yet, are you planning to release one in the future?

Thanks!

Originally created by @cassanof on GitHub (May 20, 2025). Original GitHub issue: https://github.com/deepseek-ai/DeepGEMM/issues/104 Hey! I took a look at the new WGRAD kernel; really nice release! from what it looks like, there isn't a grouped kernel yet, are you planning to release one in the future? Thanks!
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@zheanxu commented on GitHub (May 21, 2025):

The k grouped weight gradient GEMM kernel has already been released. Please check:
github.com/deepseek-ai/DeepGEMM@391755ada0/deep_gemm/jit_kernels/wgrad_gemm.py (L116)

<!-- gh-comment-id:2896271166 --> @zheanxu commented on GitHub (May 21, 2025): The k grouped weight gradient GEMM kernel has already been released. Please check: https://github.com/deepseek-ai/DeepGEMM/blob/391755ada0ffefa9a6a52b6f14dcaf22d1a463e0/deep_gemm/jit_kernels/wgrad_gemm.py#L116
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@cassanof commented on GitHub (May 21, 2025):

Hey, I am a bit confused on how it's grouped, since it's just looping for every expert?

<!-- gh-comment-id:2896449417 --> @cassanof commented on GitHub (May 21, 2025): Hey, I am a bit confused on how it's grouped, since it's just looping for every expert?
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