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# Copyright (c) 2024, EleutherAI
#
# 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, find_packages
from torch.utils import cpp_extension
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
from pathlib import Path
import subprocess
def _get_cuda_bare_metal_version(cuda_dir):
raw_output = subprocess.check_output(
[cuda_dir + "/bin/nvcc", "-V"], universal_newlines=True
)
output = raw_output.split()
release_idx = output.index("release") + 1
release = output[release_idx].split(".")
bare_metal_major = release[0]
bare_metal_minor = release[1][0]
return raw_output, bare_metal_major, bare_metal_minor
srcpath = Path(__file__).parent.absolute()
cc_flag = []
_, bare_metal_major, _ = _get_cuda_bare_metal_version(cpp_extension.CUDA_HOME)
if int(bare_metal_major) >= 11:
cc_flag.append("-gencode")
cc_flag.append("arch=compute_80,code=sm_80")
nvcc_flags = [
"-O3",
"-gencode",
"arch=compute_70,code=sm_70",
"--use_fast_math",
"-U__CUDA_NO_HALF_OPERATORS__",
"-U__CUDA_NO_HALF_CONVERSIONS__",
"--expt-relaxed-constexpr",
"--expt-extended-lambda",
]
cuda_ext_args = {"cxx": ["-O3"], "nvcc": nvcc_flags + cc_flag}
layernorm_cuda_args = {
"cxx": ["-O3"],
"nvcc": nvcc_flags + cc_flag + ["-maxrregcount=50"],
}
setup(
name="fused_kernels",
version="0.0.2",
author="EleutherAI",
author_email="[email protected]",
include_package_data=False,
ext_modules=[
CUDAExtension(
name="scaled_upper_triang_masked_softmax_cuda",
sources=[
str(srcpath / "scaled_upper_triang_masked_softmax.cpp"),
str(srcpath / "scaled_upper_triang_masked_softmax_cuda.cu"),
],
extra_compile_args=cuda_ext_args,
),
CUDAExtension(
name="scaled_masked_softmax_cuda",
sources=[
str(srcpath / "scaled_masked_softmax.cpp"),
str(srcpath / "scaled_masked_softmax_cuda.cu"),
],
extra_compile_args=cuda_ext_args,
),
CUDAExtension(
name="fused_rotary_positional_embedding",
sources=[
str(srcpath / "fused_rotary_positional_embedding.cpp"),
str(srcpath / "fused_rotary_positional_embedding_cuda.cu"),
],
extra_compile_args=cuda_ext_args,
),
],
cmdclass={"build_ext": BuildExtension},
)
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