wehub-resource-sync
62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
#
|
|
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# 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 sys
|
|
|
|
import onnx_graphsurgeon
|
|
from setuptools import find_packages, setup
|
|
|
|
|
|
def no_publish():
|
|
blacklist = ["register"]
|
|
for cmd in blacklist:
|
|
if cmd in sys.argv:
|
|
raise RuntimeError('Command "{}" blacklisted'.format(cmd))
|
|
|
|
|
|
REQUIRED_PACKAGES = [
|
|
"ml_dtypes",
|
|
"numpy",
|
|
"onnx>=1.20.0",
|
|
]
|
|
|
|
|
|
def main():
|
|
no_publish()
|
|
setup(
|
|
name="onnx_graphsurgeon",
|
|
version=onnx_graphsurgeon.__version__,
|
|
description="ONNX GraphSurgeon",
|
|
long_description=open("README.md", "r", encoding="utf-8").read(),
|
|
long_description_content_type="text/markdown",
|
|
license="Apache 2.0",
|
|
url="https://github.com/NVIDIA/TensorRT/tree/main/tools/onnx-graphsurgeon",
|
|
author="NVIDIA",
|
|
author_email="svc_tensorrt@nvidia.com",
|
|
classifiers=[
|
|
"Intended Audience :: Developers",
|
|
"Programming Language :: Python :: 3",
|
|
],
|
|
install_requires=REQUIRED_PACKAGES,
|
|
packages=find_packages(),
|
|
zip_safe=True,
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|