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setup.py
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# Copyright 2021 The T5X Authors.
#
# 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.
"""Install T5X."""
import os
import sys
import setuptools
# To enable importing version.py directly, we add its path to sys.path.
version_path = os.path.join(os.path.dirname(__file__), 't5x')
sys.path.append(version_path)
from version import __version__ # pylint: disable=g-import-not-at-top
# Get the long description from the README file.
with open('README.md') as fp:
_LONG_DESCRIPTION = fp.read()
setuptools.setup(
name='t5x',
version=__version__,
description='T5-eXtended in JAX',
long_description=_LONG_DESCRIPTION,
long_description_content_type='text/markdown',
author='Google Inc.',
author_email='[email protected]',
url='http://github.com/google-research/t5x',
license='Apache 2.0',
packages=setuptools.find_packages(),
package_data={
'': ['**/*.gin'], # not all subdirectories may have __init__.py.
},
scripts=[],
install_requires=[
'absl-py',
'cached_property',
'clu',
'flax',
'gin-config',
# 'jax[tpu]>=0.2.16',
'keras<2.7.0', # TODO(adarob): Remove once tf 2.7 is released.
'numpy',
'seqio-nightly',
't5',
'tensorflow',
'tensorstore==0.1.13',
'promptsource'
],
extras_require={
'gcp': [
'gevent', 'google-api-python-client', 'google-compute-engine',
'google-cloud-storage', 'oauth2client'
],
'test': ['pytest'],
},
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
keywords='text nlp machinelearning',
)