setup.py

import os
import setuptools
from torch.utils.cpp_extension import BuildExtension, CUDAExtension

class CustomBuildExtension(BuildExtension):
    def build_extensions(self):
        for ext in self.extensions:
            if not "cxx" in ext.extra_compile_args:
                ext.extra_compile_args["cxx"] = []
            if not "nvcc" in ext.extra_compile_args:
                ext.extra_compile_args["nvcc"] = []
            if self.compiler.compiler_type == "msvc":
                ext.extra_compile_args["cxx"] += ext.extra_compile_args["msvc"]
                ext.extra_compile_args["nvcc"] += ext.extra_compile_args["nvcc_msvc"]
            else:
                ext.extra_compile_args["cxx"] += ext.extra_compile_args["gcc"]
        super().build_extensions()

if __name__ == "__main__":
    fp = open("nunchaku/__version__.py", "r").read()
    version = eval(fp.strip().split()[-1])

    ROOT_DIR = os.path.dirname(__file__)

    INCLUDE_DIRS = [
        "src",
        "third_party/cutlass/include",
        "third_party/json/include",
        "third_party/mio/include",
        "third_party/spdlog/include",
        "third_party/Block-Sparse-Attention/csrc/block_sparse_attn",
        "src/interop",
        "src/kernels",
    ]

    INCLUDE_DIRS = [os.path.join(ROOT_DIR, dir) for dir in INCLUDE_DIRS]

    DEBUG = False

    def ncond(s) -> list:
        if DEBUG:
            return []
        else:
            return [s]

    def cond(s) -> list:
        if DEBUG:
            return [s]
        else:
            return []

    GCC_FLAGS = ["-DENABLE_BF16=1", "-DBUILD_NUNCHAKU=1", "-fvisibility=hidden", "-g", "-std=c++20", "-UNDEBUG", "-Og"]
    MSVC_FLAGS = ["/DENABLE_BF16=1", "/DBUILD_NUNCHAKU=1", "/std:c++20", "/UNDEBUG", "/Zc:__cplusplus"]
    NVCC_FLAGS = [
        "-DENABLE_BF16=1",
        "-DBUILD_NUNCHAKU=1",
        "-gencode",
        "arch=compute_86,code=sm_86",
        "-gencode",
        "arch=compute_89,code=sm_89",
        # "-gencode",
        # "arch=compute_89,code=sm_120a",
        "-g",
        "-std=c++20",
        "-UNDEBUG",
        "-Xcudafe",
        "--diag_suppress=20208",  # spdlog: 'long double' is treated as 'double' in device code
        *cond("-G"),
        "-U__CUDA_NO_HALF_OPERATORS__",
        "-U__CUDA_NO_HALF_CONVERSIONS__",
        "-U__CUDA_NO_HALF2_OPERATORS__",
        "-U__CUDA_NO_HALF2_CONVERSIONS__",
        "-U__CUDA_NO_BFLOAT16_OPERATORS__",
        "-U__CUDA_NO_BFLOAT16_CONVERSIONS__",
        "-U__CUDA_NO_BFLOAT162_OPERATORS__",
        "-U__CUDA_NO_BFLOAT162_CONVERSIONS__",
        "--threads=2",
        "--expt-relaxed-constexpr",
        "--expt-extended-lambda",
        "--generate-line-info",
        "--ptxas-options=--allow-expensive-optimizations=true",
    ]
    # https://github.com/NVIDIA/cutlass/pull/1479#issuecomment-2052300487
    NVCC_MSVC_FLAGS = ["-Xcompiler", "/Zc:__cplusplus"]

    nunchaku_extension = CUDAExtension(
        name="nunchaku._C",
        sources=[
            "nunchaku/csrc/pybind.cpp",
            "src/interop/torch.cpp",
            "src/activation.cpp",
            "src/layernorm.cpp",
            "src/Linear.cpp",
            *ncond("src/FluxModel.cpp"),
            *ncond("src/SanaModel.cpp"),
            "src/Serialization.cpp",
            *ncond("third_party/Block-Sparse-Attention/csrc/block_sparse_attn/src/flash_fwd_hdim64_fp16_sm80.cu"),
            *ncond("third_party/Block-Sparse-Attention/csrc/block_sparse_attn/src/flash_fwd_hdim64_bf16_sm80.cu"),
            *ncond("third_party/Block-Sparse-Attention/csrc/block_sparse_attn/src/flash_fwd_hdim128_fp16_sm80.cu"),
            *ncond("third_party/Block-Sparse-Attention/csrc/block_sparse_attn/src/flash_fwd_hdim128_bf16_sm80.cu"),
            *ncond("third_party/Block-Sparse-Attention/csrc/block_sparse_attn/src/flash_fwd_block_hdim64_fp16_sm80.cu"),
            *ncond("third_party/Block-Sparse-Attention/csrc/block_sparse_attn/src/flash_fwd_block_hdim64_bf16_sm80.cu"),
            *ncond(
                "third_party/Block-Sparse-Attention/csrc/block_sparse_attn/src/flash_fwd_block_hdim128_fp16_sm80.cu"
            ),
            *ncond(
                "third_party/Block-Sparse-Attention/csrc/block_sparse_attn/src/flash_fwd_block_hdim128_bf16_sm80.cu"
            ),
            "src/kernels/activation_kernels.cu",
            "src/kernels/layernorm_kernels.cu",
            "src/kernels/misc_kernels.cu",
            "src/kernels/zgemm/gemm_w4a4.cu",
            "src/kernels/zgemm/gemm_w4a4_launch_fp16.cu",
            "src/kernels/zgemm/gemm_w4a4_launch_bf16.cu",
            "src/kernels/zgemm/gemm_w8a8.cu",
            "src/kernels/dwconv.cu",
            "src/kernels/gemm_batched.cu",
            "src/kernels/gemm_f16.cu",
            "src/kernels/awq/gemm_cuda.cu",
            "src/kernels/awq/gemv_awq.cu",
            *ncond("third_party/Block-Sparse-Attention/csrc/block_sparse_attn/flash_api.cpp"),
            *ncond("third_party/Block-Sparse-Attention/csrc/block_sparse_attn/flash_api_adapter.cpp"),
        ],
        extra_compile_args={
            "gcc": GCC_FLAGS,
            "msvc": MSVC_FLAGS,
            "nvcc": NVCC_FLAGS,
        },
        include_dirs=INCLUDE_DIRS,
    )

    setuptools.setup(
        name="nunchaku",
        version=version,
        packages=setuptools.find_packages(),
        ext_modules=[nunchaku_extension],
        cmdclass={"build_ext": CustomBuildExtension},
    )