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setup.py
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setup.py
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"""Setup script for the package."""
# ==============================================================================
# Copyright 2021 Alexey Tochin
#
# 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
from setuptools import setup
here = pathlib.Path(__file__).parent.resolve()
setup(
name="tf-seq2seq-losses",
version="0.3.0",
description="Tensorflow implementations for (CTC) loss functions "
"that are fast and support second-order derivatives.",
long_description=(here / "README.md").read_text(encoding="utf-8"),
long_description_content_type="text/markdown",
url="https://github.com/alexeytochin/tf-seq2seq-losses",
project_urls={
'Documentation': "https://github.com/alexeytochin/tf-seq2seq-losses/README.md",
'GitHub': "https://github.com/alexeytochin/tf-seq2seq-losses",
'Changelog': "https://github.com/alexeytochin/tf-seq2seq-losses/CHANGELOG.md",
},
author="Alexey Tochin",
author_email="alexey.tochin@gmail.com",
license="Apache 2.0",
license_files=("LICENSE",),
packages=["tf_seq2seq_losses"],
install_requires=["tensorflow>=2.6.1", "numpy"],
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
keywords="tensorflow, loss, loss function, ctc, connectionist temporal classification, "
"seq2se, seq 2 seq, seq to seq, asr, automatic speach recognition, sequence recognition"
"hessian, second derivative",
)