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# Copyright 2022, Lefebvre Dalloz Services
#
# 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.
import pathlib
import pkg_resources
from setuptools import find_packages, setup
with pathlib.Path("requirements.txt").open() as f:
install_requires = [str(requirement) for requirement in pkg_resources.parse_requirements(f)]
with pathlib.Path("requirements_gpu.txt").open() as f:
extra_gpu = [str(requirement) for requirement in pkg_resources.parse_requirements(f)]
with pathlib.Path("requirements_cpu.txt").open() as f:
extra_cpu = [str(requirement) for requirement in pkg_resources.parse_requirements(f)]
setup(
name="transformer-deploy",
version=open("./VERSION").read().strip(),
author="Michaël Benesty",
author_email="[email protected]",
classifiers=[
"Intended Audience :: Developers",
"Programming Language :: Python :: 3",
],
license_files=("LICENSE",),
description="Simple transformer model optimizer and deployment tool",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
url="https://github.com/ELS-RD/transformer-deploy",
package_dir={"": "src"},
packages=find_packages(where="src"),
install_requires=install_requires,
extras_require={
"GPU": extra_gpu,
"CPU": extra_cpu,
},
python_requires=">=3.8.0",
entry_points={
"console_scripts": [
"convert_model = transformer_deploy.convert:entrypoint",
],
},
)
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