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setup.py
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setup.py
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# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# 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.
"""
usage: docs_builder.py [-h] --src SRC --dest DEST
Create and package documentation for the repository
optional arguments:
-h, --help show this help message and exit
--src SRC the source directory to read the source for the docs from
--dest DEST the destination directory to put the built docs
"""
import os
from typing import Dict, List, Tuple
from setuptools import find_packages, setup
# default variables to be overwritten by the version.py file
is_release = None
is_dev = None
version = "unknown"
version_base = version
# load and overwrite version and release info from sparseml package
exec(open(os.path.join("src", "sparsezoo", "version.py")).read())
print(f"loaded version {version} from src/sparsezoo/version.py")
if is_release:
_PACKAGE_NAME = "sparsezoo"
elif is_dev:
_PACKAGE_NAME = "sparsezoo-dev"
else:
_PACKAGE_NAME = "sparsezoo-nightly"
_deps = [
"numpy>=1.17.0,<2.0",
"onnx>=1.5.0,<1.15.0",
"pyyaml>=5.1.0",
"requests>=2.0.0",
"tqdm>=4.0.0",
"pydantic~=2.0",
"click>=7.1.2,!=8.0.0", # latest version < 8.0 + blocked version with reported bug
"protobuf>=3.12.2",
"pandas>1.3",
"py-machineid>=0.3.0",
"geocoder>=1.38.0",
"onnxruntime>=1.0.0",
]
_notebook_deps = ["ipywidgets>=7.0.0", "jupyter>=1.0.0"]
_dev_deps = [
"beautifulsoup4==4.9.3",
"black==22.12.0",
"flake8>=3.8.3",
"isort>=5.7.0",
"pytest>=6.0.0",
"wheel>=0.36.2",
"matplotlib>=3.0.0",
]
_docs_deps = [
"m2r2~=0.2.7",
"mistune==0.8.4",
"myst-parser~=0.14.0",
"rinohtype>=0.4.2",
"sphinx>=3.4.0",
"sphinx-copybutton>=0.3.0",
"sphinx-markdown-tables>=0.0.15",
"sphinx-multiversion==0.2.4",
"sphinx-rtd-theme",
]
def _setup_packages() -> List:
return find_packages(
"src", include=["sparsezoo", "sparsezoo.*"], exclude=["*.__pycache__.*"]
)
def _setup_install_requires() -> List:
return _deps
def _setup_extras() -> Dict:
return {"dev": _dev_deps, "nb": _notebook_deps, "docs": _docs_deps}
def _setup_entry_points() -> Dict:
return {
"console_scripts": [
"sparsezoo=sparsezoo.main:main",
"sparsezoo.download=sparsezoo.download_main:main",
"sparsezoo.analyze=sparsezoo.analyze_cli:main",
"sparsezoo.deployment_package=sparsezoo.deployment_package.cli:main",
]
}
def _setup_long_description() -> Tuple[str, str]:
return open("README.md", "r", encoding="utf-8").read(), "text/markdown"
setup(
name=_PACKAGE_NAME,
version=version,
author="Neuralmagic, Inc.",
author_email="[email protected]",
description=(
"Neural network model repository for highly sparse and sparse-quantized "
"models with matching sparsification recipes"
),
long_description=_setup_long_description()[0],
long_description_content_type=_setup_long_description()[1],
keywords=(
"inference, machine learning, neural network, deep learning model, models, "
"computer vision, nlp, pretrained transfer learning, sparsity, pruning, "
"quantization, sparse models, resnet, mobilenet, yolov3"
),
license="Apache",
url="https://github.com/neuralmagic/sparsezoo",
package_dir={"": "src"},
packages=_setup_packages(),
include_package_data=True,
install_requires=_setup_install_requires(),
extras_require=_setup_extras(),
entry_points=_setup_entry_points(),
python_requires=">=3.8.0",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Information Technology",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: POSIX :: Linux",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries :: Python Modules",
],
)