Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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49 行
1.5 KiB

# -*- mode: python ; coding: utf-8 -*-
block_cipher = None
from PyInstaller.utils.hooks import collect_submodules
import os, importlib
package_imports = [['tensorboard', ['webfiles.zip']]]
added_files = [( 'config', 'config' ),( 'demos', 'demos' )]
for package, files in package_imports:
proot = os.path.dirname(importlib.import_module(package).__file__)
added_files.extend((os.path.join(proot, f), package) for f in files)
hidden_imports = collect_submodules('tensorflow.contrib')
a = Analysis(['ml-agents/mlagents/trainers/learn.py'],
pathex=['/Users/ervin/Development/ml-agents-develop'],
binaries=[],
datas=added_files,
hiddenimports=hidden_imports,
hookspath=[],
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False)
pyz = PYZ(a.pure, a.zipped_data,
cipher=block_cipher)
exe = EXE(pyz,
a.scripts,
[],
exclude_binaries=True,
name='mlagents-learn',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
console=True )
coll = COLLECT(exe,
a.binaries,
a.zipfiles,
a.datas,
strip=False,
upx=True,
upx_exclude=[],
name='mlagents-dir')