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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94 行
2.5 KiB

import logging
logger = logging.getLogger("mlagents.envs")
class UnityException(Exception):
"""
Any error related to ml-agents environment.
"""
pass
class UnityEnvironmentException(UnityException):
"""
Related to errors starting and closing environment.
"""
pass
class UnityCommunicationException(UnityException):
"""
Related to errors with the communicator.
"""
pass
class UnityActionException(UnityException):
"""
Related to errors with sending actions.
"""
pass
class SamplerException(UnityException):
"""
Related to errors with the sampler actions.
"""
pass
class UnityTimeOutException(UnityException):
"""
Related to errors with communication timeouts.
"""
def __init__(self, message, log_file_path=None):
if log_file_path is not None:
try:
with open(log_file_path, "r") as f:
printing = False
unity_error = "\n"
for line in f:
line = line.strip()
if (line == "Exception") or (line == "Error"):
printing = True
unity_error += "----------------------\n"
if line == "":
printing = False
if printing:
unity_error += line + "\n"
logger.info(unity_error)
logger.error(
"An error might have occured in the environment. "
"You can check the logfile for more information at {}".format(
log_file_path
)
)
except Exception:
logger.error(
"An error might have occured in the environment. "
"No UnitySDK.log file could be found."
)
super(UnityTimeOutException, self).__init__(message)
class UnityWorkerInUseException(UnityException):
"""
This error occurs when the port for a certain worker ID is already reserved.
"""
MESSAGE_TEMPLATE = (
"Couldn't start socket communication because worker number {} is still in use. "
"You may need to manually close a previously opened environment "
"or use a different worker number."
)
def __init__(self, worker_id):
message = self.MESSAGE_TEMPLATE.format(str(worker_id))
super(UnityWorkerInUseException, self).__init__(message)