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# Copyright 2019 kubeflow.org.
#
# 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
tests_require = [
'pytest',
'pytest-tornasync',
'mypy'
]
setup(
name='pytorchserver',
version='0.4.0',
author_email='singhan@us.ibm.com',
license='https://github.com/kubeflow/kfserving/LICENSE',
url='https://github.com/kubeflow/kfserving/python/pytorchserver',
description='Model Server implementation for PyTorch. ' +
'Not intended for use outside KFServing Frameworks Images',
long_description=open('README.md').read(),
python_requires='>3.4',
packages=find_packages("pytorchserver"),
install_requires=[
"kfserving>=0.4.0",
"torch >= 1.0.0",
"argparse >= 1.4.0",
"numpy >= 1.8.2",
"torchvision >= 0.2.0"
],
tests_require=tests_require,
extras_require={'test': tests_require}
)