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setup.py
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setup.py
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# Available at setup time due to pyproject.toml
import os
from pybind11.setup_helpers import Pybind11Extension, build_ext
from torch.utils.cpp_extension import BuildExtension, CppExtension
from setuptools import setup
__version__ = os.getenv("VERSION", "0.0.1+dev")
# The main interface is through Pybind11Extension.
# * You can add cxx_std=11/14/17, and then build_ext can be removed.
# * You can set include_pybind11=false to add the include directory yourself,
# say from a submodule.
#
# Note:
# Sort input source files if you glob sources to ensure bit-for-bit
# reproducible builds (https://github.com/pybind/python_example/pull/53)
# class CustomBuildExtension(BuildExtension):
# def build_extension(self, ext):
# # Change the extension type to an executable
# ext.target_ext = ""
# # Call the superclass method to build the extension
# super().build_extension(ext)
NVCOMP_LIB_NAME = "nvcomp"
NVCOMP_INCLUDE_DIR = "nvcomp/include"
NVCOMP_LIB_DIR = "nvcomp/lib"
CUDA_LIB_NAME = "cudart"
CUDA_INCLUDE_DIR = "/usr/local/cuda/include"
CUDA_LIB_DIR = "/usr/local/cuda/lib64"
ext_modules = [
CppExtension(
"_nyacomp",
["src/main.cpp"],
# Example: passing in the version to the compiled code
define_macros=[("VERSION_INFO", __version__)],
include_dirs=[NVCOMP_INCLUDE_DIR, CUDA_INCLUDE_DIR],
libraries=[CUDA_LIB_NAME, NVCOMP_LIB_NAME],
library_dirs=[NVCOMP_LIB_DIR, CUDA_LIB_DIR],
extra_compile_args=["-fvisibility=hidden", "-std=c++17"],
),
]
setup(
name="nyacomp",
version=__version__,
author="sylv",
description="python bindings for using nvcomp with torch",
ext_modules=ext_modules,
# extras_require={"test": "pytest"},
# Currently, build_ext only provides an optional "highest supported C++
# level" feature, but in the future it may provide more features.
cmdclass={"build_ext": BuildExtension},
zip_safe=False,
python_requires=">=3.7",
packages=["nyacomp"],
# package_dir={"": "."},
package_data={
"nyacomp": [
"lib/libnvcomp_bitcomp.so",
"lib/libnvcomp_gdeflate.so",
"lib/libnvcomp.so",
]
},
include_package_data=True,
)
# actually depends on torch (specific version of torch). optional: nvtx, humanize. also requires transformers or diffusers as appropriate