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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42 行
1.2 KiB

import os
import sys
import argparse
from .yamato_utils import get_base_path, run_standalone_build
def main(scene_path, build_target):
base_path = get_base_path()
print(f"Running in base path {base_path}")
executable_name = "testPlayer"
if scene_path is not None:
executable_name = os.path.splitext(scene_path)[0] # Remove extension
executable_name = executable_name.split("/")[-1]
executable_name = "testPlayer-" + executable_name
print(f"Executable name {executable_name}")
returncode = run_standalone_build(
base_path,
output_path=executable_name,
scene_path=scene_path,
build_target=build_target,
log_output_path=None, # Log to stdout so we get timestamps on the logs
)
if returncode == 0:
print("Test run SUCCEEDED!")
else:
print("Test run FAILED!")
sys.exit(returncode)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--scene", default=None)
parser.add_argument(
"--build-target", default="mac", choices=["mac", "linux", "ios", "webgl"]
)
args = parser.parse_args()
main(args.scene, args.build_target)