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setup.py
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# Copyright 2024 ByteDance and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from setuptools import setup
from torch.utils.cpp_extension import CUDAExtension, BuildExtension
from glob import glob
import os
cu_srcs = glob(os.path.join("ABQ", "csrc", "mma_any", "**","*.cu"), recursive=True)
# TODO: auto detect GPU ARCH
nvcc_args = [
'-gencode=arch=compute_80,code=\\\"sm_80,compute_80\\\"'
]
cxx_args = ['-std=c++14']
setup(
name='ABQ',
version='0.1.0',
description='Arbitrary Bit Quantization Gemm.',
install_requires=['numpy', 'torch'],
packages=['ABQ'],
ext_modules=[
CUDAExtension(name='ABQ_cuda',
sources=['ABQ/csrc/ABQ_cuda.cu',] + cu_srcs,
extra_compile_args={
'cxx': cxx_args,
'nvcc': nvcc_args
},
define_macros=[('GPU_ARCH',80)]),
],
include_dirs=['ABQ/csrc', "../3rdparty/cutlass/include", "../3rdparty/cutlass/tools/util/include"],
cmdclass={'build_ext': BuildExtension},
)