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setup.py
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setup.py
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#!/usr/bin/env python
# flake8: noqa
# -*- coding: utf-8 -*-
import os
from setuptools import find_packages, setup
# Package meta-data.
NAME = "catalyst"
DESCRIPTION = "Catalyst. Accelerated deep learning R&D with PyTorch."
URL = "https://github.com/catalyst-team/catalyst"
EMAIL = "[email protected]"
AUTHOR = "Sergey Kolesnikov"
REQUIRES_PYTHON = ">=3.7.0"
PROJECT_ROOT = os.path.abspath(os.path.dirname(__file__))
def load_requirements(filename):
"""Docs? Contribution is welcome."""
with open(os.path.join(PROJECT_ROOT, filename), "r") as f:
return f.read().splitlines()
def load_readme():
"""Docs? Contribution is welcome."""
readme_path = os.path.join(PROJECT_ROOT, "README.md")
with open(readme_path, encoding="utf-8") as f:
return f"\n{f.read()}"
def load_version():
"""Docs? Contribution is welcome."""
context = {}
with open(os.path.join(PROJECT_ROOT, "catalyst", "__version__.py")) as f:
exec(f.read(), context)
return context["__version__"]
# Specific dependencies.
extras = {
"cv": load_requirements("requirements/requirements-cv.txt"),
"comet": load_requirements("requirements/requirements-comet.txt"),
"deepspeed": load_requirements("requirements/requirements-deepspeed.txt"),
"dev": load_requirements("requirements/requirements-dev.txt"),
"ml": load_requirements("requirements/requirements-ml.txt"),
"mlflow": load_requirements("requirements/requirements-mlflow.txt"),
"neptune": load_requirements("requirements/requirements-neptune.txt"),
"onnx-gpu": load_requirements("requirements/requirements-onnx-gpu.txt"),
"onnx": load_requirements("requirements/requirements-onnx.txt"),
"optuna": load_requirements("requirements/requirements-optuna.txt"),
"profiler": load_requirements("requirements/requirements-profiler.txt"),
"wandb": load_requirements("requirements/requirements-wandb.txt"),
# "xla": load_requirements("requirements/requirements-xla.txt"),
}
extras["all"] = extras["cv"] + extras["ml"] + extras["optuna"]
# Meta dependency groups.
# all_deps = []
# for group_name in extras:
# all_deps += extras[group_name]
# extras["all"] = all_deps
setup(
name=NAME,
version=load_version(),
description=DESCRIPTION,
long_description=load_readme(),
long_description_content_type="text/markdown",
keywords=[
"Machine Learning",
"Distributed Computing",
"Deep Learning",
"Reinforcement Learning",
"Computer Vision",
"Natural Language Processing",
"Recommendation Systems",
"Information Retrieval",
"PyTorch",
],
author=AUTHOR,
author_email=EMAIL,
python_requires=REQUIRES_PYTHON,
url=URL,
download_url=URL,
project_urls={
"Bug Tracker": "https://github.com/catalyst-team/catalyst/issues",
"Documentation": "https://catalyst-team.github.io/catalyst",
"Source Code": "https://github.com/catalyst-team/catalyst",
},
packages=find_packages(
exclude=(
"docker",
"docs",
"tests",
"examples",
)
),
entry_points={
"console_scripts": [
"catalyst-contrib=catalyst.contrib.__main__:main",
"catalyst-run=catalyst.contrib.scripts.run:main",
"catalyst-tune=catalyst.contrib.scripts.tune:main",
],
},
scripts=[
"bin/scripts/catalyst-parallel-run",
"bin/scripts/download-gdrive",
"bin/scripts/extract-archive",
],
install_requires=load_requirements("requirements/requirements.txt"),
extras_require=extras,
include_package_data=True,
license="Apache License 2.0",
classifiers=[
"Environment :: Console",
"Natural Language :: English",
"Development Status :: 4 - Beta",
"Operating System :: OS Independent",
"License :: OSI Approved :: Apache Software License",
# Audience
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
# Topics
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Scientific/Engineering :: Information Analysis",
# Programming
"Programming Language :: Python",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: Implementation :: CPython",
],
)