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[GH-ISSUE #124] [QST]Some questions about unit testing #72

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opened 2026-10-26 21:11:51 +00:00 by bsakaguchi · 2 comments
bsakaguchi commented 2026-10-26 21:11:51 +00:00
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Originally created by @HydraQYH on GitHub (Jul 7, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepGEMM/issues/124

I'm reading the unit test code. I have two doubts.

  1. What is the role of clamp here? github.com/deepseek-ai/DeepGEMM@03d0be3d2d/tests/test_core.py (L21)
  2. Why is calc_diff used here? Why not Allclose? And what is the principle of calc_diff? github.com/deepseek-ai/DeepGEMM@03d0be3d2d/tests/test_core.py (L176)
    Looking forward to your reply.
Originally created by @HydraQYH on GitHub (Jul 7, 2025). Original GitHub issue: https://github.com/deepseek-ai/DeepGEMM/issues/124 I'm reading the unit test code. I have two doubts. 1. What is the role of clamp here? https://github.com/deepseek-ai/DeepGEMM/blob/03d0be3d2d03b6eed3c99d683c0620949a13a826/tests/test_core.py#L21 2. Why is calc_diff used here? Why not Allclose? And what is the principle of calc_diff? https://github.com/deepseek-ai/DeepGEMM/blob/03d0be3d2d03b6eed3c99d683c0620949a13a826/tests/test_core.py#L176 Looking forward to your reply.
bsakaguchi commented 2026-10-26 21:11:52 +00:00
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@LyricZhao commented on GitHub (Jul 21, 2025):

Sorry for my late reply. This is an internal quant error metric at DeepSeek. The best part of the metric is that the similarity is consistent for any scale of values. You can also use other methods, e.g. MSE.

<!-- gh-comment-id:3094996525 --> @LyricZhao commented on GitHub (Jul 21, 2025): Sorry for my late reply. This is an internal quant error metric at DeepSeek. The best part of the metric is that the similarity is consistent for any scale of values. You can also use other methods, e.g. MSE.
bsakaguchi commented 2026-10-26 21:11:52 +00:00
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@HydraQYH commented on GitHub (Jul 22, 2025):

Thanks a lot.

<!-- gh-comment-id:3103048194 --> @HydraQYH commented on GitHub (Jul 22, 2025): Thanks a lot.
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