77 lines
2.1 KiB
Python
77 lines
2.1 KiB
Python
from pathlib import Path
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from setuptools import setup
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from torch.utils.cpp_extension import BuildExtension, CUDAExtension
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root = Path(__file__).parent.resolve()
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def get_version():
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with open(root / "pyproject.toml") as f:
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for line in f:
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if line.startswith("version"):
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return line.split("=")[1].strip().strip('"')
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def update_wheel_platform_tag():
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wheel_dir = Path("dist")
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old_wheel = next(wheel_dir.glob("*.whl"))
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new_wheel = wheel_dir / old_wheel.name.replace(
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"linux_x86_64", "manylinux2014_x86_64"
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)
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old_wheel.rename(new_wheel)
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cutlass = root / "3rdparty" / "cutlass"
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include_dirs = [
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cutlass.resolve() / "include",
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cutlass.resolve() / "tools" / "util" / "include",
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root / "src" / "sgl-kernel" / "csrc",
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]
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nvcc_flags = [
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"-O3",
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"-Xcompiler",
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"-fPIC",
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"-gencode=arch=compute_75,code=sm_75",
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"-gencode=arch=compute_80,code=sm_80",
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"-gencode=arch=compute_89,code=sm_89",
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"-gencode=arch=compute_90,code=sm_90",
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"-U__CUDA_NO_HALF_OPERATORS__",
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"-U__CUDA_NO_HALF2_OPERATORS__",
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]
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cxx_flags = ["-O3"]
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libraries = ["c10", "torch", "torch_python"]
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extra_link_args = ["-Wl,-rpath,$ORIGIN/../../torch/lib"]
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ext_modules = [
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CUDAExtension(
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name="sgl_kernel.ops._kernels",
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sources=[
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"src/sgl-kernel/csrc/trt_reduce_internal.cu",
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"src/sgl-kernel/csrc/trt_reduce_kernel.cu",
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"src/sgl-kernel/csrc/moe_align_kernel.cu",
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"src/sgl-kernel/csrc/int8_gemm_kernel.cu",
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"src/sgl-kernel/csrc/sampling_scaling_penalties.cu",
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"src/sgl-kernel/csrc/sgl_kernel_ops.cu",
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],
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include_dirs=include_dirs,
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extra_compile_args={
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"nvcc": nvcc_flags,
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"cxx": cxx_flags,
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},
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libraries=libraries,
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extra_link_args=extra_link_args,
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),
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]
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setup(
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name="sgl-kernel",
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version=get_version(),
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packages=["sgl_kernel"],
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package_dir={"": "src"},
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ext_modules=ext_modules,
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cmdclass={"build_ext": BuildExtension},
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install_requires=["torch"],
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)
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update_wheel_platform_tag()
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