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[PR #240] Add n shape bias #306
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deepseek-ai/DeepGEMM#306
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📋 Pull Request Information
Original PR: https://github.com/deepseek-ai/DeepGEMM/pull/240
Author: @xueweilnvidia
Created: 12/17/2025
Status: 🔄 Open
Base:
nv_dev← Head:add_n_shape_bias📝 Commits (6)
cfe29c4minord96986faccumulate and bias true works6e38032minor7dd9fbcupdate smeme314311minor3ae9b1abug fix📊 Changes
10 files changed (+203 additions, -47 deletions)
View changed files
📝
csrc/apis/attention.hpp(+1 -1)📝
csrc/apis/gemm.hpp(+28 -8)📝
csrc/jit_kernels/heuristics/common.hpp(+10 -3)📝
csrc/jit_kernels/impls/runtime_utils.hpp(+19 -0)📝
csrc/jit_kernels/impls/sm100_fp8_gemm_1d1d.hpp(+18 -7)📝
deep_gemm/include/deep_gemm/impls/sm100_fp8_gemm_1d1d.cuh(+89 -7)📝
tests/generators.py(+24 -9)📝
tests/test_attention.py(+1 -1)📝
tests/test_bf16.py(+5 -5)📝
tests/test_fp8.py(+8 -6)📄 Description
Add bias with shape [n] support to fp8 gemm on sm100. Only support bf16 output datatype
test with:
test_attention.py test_bf16.py test_fp8.py
the performance are in attached files
performance.txt
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.