chenchenghao/sglang

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Xiaoyu Zhang 55a7ec388f use warp shuffle style reduce and flashinfer vectorize (#3628 )

2025-02-19 20:53:51 +08:00

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update cutlass dependency (#3240 )

2025-02-01 03:13:44 +08:00

use warp shuffle style reduce and flashinfer vectorize (#3628 )

2025-02-19 20:53:51 +08:00

use warp shuffle style reduce and flashinfer vectorize (#3628 )

2025-02-19 20:53:51 +08:00

[Feature] Apply Cublas Grouped Gemm kernel (#3629 )

2025-02-18 15:18:31 +08:00

.clang-format

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build.sh

use self-hosted to build sgl-kernel (#3154 )

2025-01-26 23:02:57 +08:00

developer_guide.md

support version in sgl-kernel (#3439 )

2025-02-10 03:49:52 +08:00

LICENSE

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Makefile

chore: bump sgl-kernel v0.0.3.post3 (#3440 )

2025-02-10 04:00:52 +08:00

pyproject.toml

chore: bump 0.0.3.post6 sgl-kernel (#3555 )

2025-02-14 08:55:15 +08:00

README.md

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setup_rocm.py

ROCm: sgl-kernel enablement starting with sgl_moe_align_block (#3287 )

2025-02-04 21:44:44 +08:00

setup.py

[Feature] Apply Cublas Grouped Gemm kernel (#3629 )

2025-02-18 15:18:31 +08:00

THIRDPARTYNOTICES.txt

add tensorrt_llm common and cutlass_extensions as 3rdparty (#3216 )

2025-01-30 23:04:41 +08:00

README.md

SGL Kernel

Kernel Library for SGLang

Installation

For CUDA 11.8:

pip3 install sgl-kernel -i https://docs.sglang.ai/whl/cu118

For CUDA 12.1 or CUDA 12.4:

pip3 install sgl-kernel