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94 行
3.7 KiB
94 行
3.7 KiB
import os
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import sys
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from setuptools import setup, find_packages
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from setuptools.command.install import install
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from mlagents.plugins import ML_AGENTS_STATS_WRITER
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import mlagents.trainers
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VERSION = mlagents.trainers.__version__
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EXPECTED_TAG = mlagents.trainers.__release_tag__
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here = os.path.abspath(os.path.dirname(__file__))
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class VerifyVersionCommand(install):
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"""
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Custom command to verify that the git tag is the expected one for the release.
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Originally based on https://circleci.com/blog/continuously-deploying-python-packages-to-pypi-with-circleci/
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This differs slightly because our tags and versions are different.
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"""
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description = "verify that the git tag matches our version"
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def run(self):
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tag = os.getenv("GITHUB_REF", "NO GITHUB TAG!").replace("refs/tags/", "")
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if tag != EXPECTED_TAG:
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info = "Git tag: {} does not match the expected tag of this app: {}".format(
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tag, EXPECTED_TAG
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)
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sys.exit(info)
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# Get the long description from the README file
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with open(os.path.join(here, "README.md"), encoding="utf-8") as f:
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long_description = f.read()
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setup(
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name="mlagents",
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version=VERSION,
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description="Unity Machine Learning Agents",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/Unity-Technologies/ml-agents",
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author="Unity Technologies",
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author_email="ML-Agents@unity3d.com",
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classifiers=[
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"Intended Audience :: Developers",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"License :: OSI Approved :: Apache Software License",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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],
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# find_namespace_packages will recurse through the directories and find all the packages
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packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
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zip_safe=False,
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install_requires=[
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# Test-only dependencies should go in test_requirements.txt, not here.
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"grpcio>=1.11.0",
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"h5py>=2.9.0",
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f"mlagents_envs=={VERSION}",
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"numpy>=1.13.3,<2.0",
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"Pillow>=4.2.1",
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"protobuf>=3.6",
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"pyyaml>=3.1.0",
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# Windows ver. of PyTorch doesn't work from PyPi. Installation:
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# https://github.com/Unity-Technologies/ml-agents/blob/release_17_docs/docs/Installation.md#windows-installing-pytorch
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# Torch only working on python 3.9 for 1.8.0 and above. Details see:
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# https://github.com/pytorch/pytorch/issues/50014
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"torch>=1.8.0,<1.9.0;(platform_system!='Windows' and python_version>='3.9')",
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"torch>=1.6.0,<1.9.0;(platform_system!='Windows' and python_version<'3.9')",
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"tensorboard>=1.15",
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# cattrs 1.1.0 dropped support for python 3.6, but 1.0.0 doesn't work for python 3.9
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# Since there's no version that supports both, we have to draw the line somwehere.
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"cattrs<1.1.0; python_version<'3.8'",
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"cattrs>=1.1.0; python_version>='3.8'",
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"attrs>=19.3.0",
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'pypiwin32==223;platform_system=="Windows"',
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"importlib_metadata; python_version<'3.8'",
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],
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python_requires=">=3.6.1",
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entry_points={
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"console_scripts": [
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"mlagents-learn=mlagents.trainers.learn:main",
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"mlagents-run-experiment=mlagents.trainers.run_experiment:main",
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],
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# Plugins - each plugin type should have an entry here for the default behavior
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ML_AGENTS_STATS_WRITER: [
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"default=mlagents.plugins.stats_writer:get_default_stats_writers"
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],
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},
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cmdclass={"verify": VerifyVersionCommand},
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)
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