34f714a677
Training FPS improvement (base commit is 94bfb32): test_pdqn: 1660 (without numba) -> 1930 discrete/test_ppo: 5100 -> 5170 since nstep has little impact on overall performance, the unit test result is: GAE: 4.1s -> 0.057s nstep: 0.3s -> 0.15s (little improvement) Others: - fix a bug in ttt set_eps - keep only sumtree in segment tree implementation - dirty fix for asyncVenv check_id test
70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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from setuptools import setup, find_packages
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setup(
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name='tianshou',
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version='0.2.6',
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description='A Library for Deep Reinforcement Learning',
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long_description=open('README.md', encoding='utf8').read(),
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long_description_content_type='text/markdown',
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url='https://github.com/thu-ml/tianshou',
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author='TSAIL',
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author_email='trinkle23897@gmail.com',
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license='MIT',
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python_requires='>=3.6',
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classifiers=[
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# How mature is this project? Common values are
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# 3 - Alpha
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# 4 - Beta
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# 5 - Production/Stable
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'Development Status :: 3 - Alpha',
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# Indicate who your project is intended for
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'Intended Audience :: Science/Research',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Software Development :: Libraries :: Python Modules',
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# Pick your license as you wish (should match "license" above)
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'License :: OSI Approved :: MIT License',
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# Specify the Python versions you support here. In particular, ensure
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# that you indicate whether you support Python 2, Python 3 or both.
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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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keywords='reinforcement learning platform pytorch',
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packages=find_packages(exclude=['test', 'test.*',
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'examples', 'examples.*',
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'docs', 'docs.*']),
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install_requires=[
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'gym>=0.15.4',
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'tqdm',
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'numpy',
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'tensorboard',
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'torch>=1.4.0',
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'numba>=0.51.0',
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],
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extras_require={
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'dev': [
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'Sphinx',
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'sphinx_rtd_theme',
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'sphinxcontrib-bibtex',
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'flake8',
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'pytest',
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'pytest-cov',
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'ray>=0.8.0',
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],
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'atari': [
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'atari_py',
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'cv2',
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],
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'mujoco': [
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'mujoco_py',
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],
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'pybullet': [
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'pybullet',
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],
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},
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)
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