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setup.py
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import os
import re
import subprocess
import sys
import setuptools
import torch
from packaging import version as packaging_version
from torch.utils.cpp_extension import BuildExtension, CUDA_HOME, 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()
def get_sm_targets() -> list[str]:
nvcc_path = os.path.join(CUDA_HOME, "bin/nvcc") if CUDA_HOME else "nvcc"
try:
nvcc_output = subprocess.check_output([nvcc_path, "--version"]).decode()
match = re.search(r"release (\d+\.\d+), V(\d+\.\d+\.\d+)", nvcc_output)
if match:
nvcc_version = match.group(2)
else:
raise Exception("nvcc version not found")
print(f"Found nvcc version: {nvcc_version}")
except:
raise Exception("nvcc not found")
support_sm120 = packaging_version.parse(nvcc_version) >= packaging_version.parse("12.8")
install_mode = os.getenv("NUNCHAKU_INSTALL_MODE", "FAST")
if install_mode == "FAST":
ret = []
for i in range(torch.cuda.device_count()):
capability = torch.cuda.get_device_capability(i)
sm = f"{capability[0]}{capability[1]}"
if sm == "120" and support_sm120:
sm = "120a"
assert sm in ["80", "86", "89", "120a"], f"Unsupported SM {sm}"
if sm not in ret:
ret.append(sm)
else:
assert install_mode == "ALL"
ret = ["80", "86", "89"]
if support_sm120:
ret.append("120a")
return ret
if __name__ == "__main__":
fp = open("nunchaku/__version__.py", "r").read()
version = eval(fp.strip().split()[-1])
torch_version = torch.__version__.split("+")[0]
torch_major_minor_version = ".".join(torch_version.split(".")[:2])
version = version + "+torch" + torch_major_minor_version
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",
]
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 []
sm_targets = get_sm_targets()
print(f"Detected SM targets: {sm_targets}", file=sys.stderr)
assert len(sm_targets) > 0, "No SM targets found"
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", "/FS"]
NVCC_FLAGS = [
"-DENABLE_BF16=1",
"-DBUILD_NUNCHAKU=1",
"-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__",
f"--threads={len(sm_targets)}",
"--expt-relaxed-constexpr",
"--expt-extended-lambda",
"--ptxas-options=--allow-expensive-optimizations=true",
]
if os.getenv("NUNCHAKU_BUILD_WHEELS", "0") == "0":
NVCC_FLAGS.append("--generate-line-info")
for target in sm_targets:
NVCC_FLAGS += ["-gencode", f"arch=compute_{target},code=sm_{target}"]
NVCC_MSVC_FLAGS = ["-Xcompiler", "/Zc:__cplusplus", "-Xcompiler", "/FS", "-Xcompiler", "/bigobj"]
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_awq.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, "nvcc_msvc": NVCC_MSVC_FLAGS},
include_dirs=INCLUDE_DIRS,
)
setuptools.setup(
name="nunchaku",
version=version,
packages=setuptools.find_packages(),
ext_modules=[nunchaku_extension],
cmdclass={"build_ext": CustomBuildExtension},
)