address already in use - Githubissues

        behavioral_cloning:     None
[INFO] 3DBall. Step: 12000. Time Elapsed: 18.479 s. Mean Reward: 1.163. Std of Reward: 0.687. Training.
Aborted

That was my first attempt at 3DBall following the tutorial. All subsequent attempts show

$ mlagents-learn config/ppo/3DBall.yaml --run-id=third3dballrun

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        ╓╖╬│╡  ││╬╖╖
    ╓╖╬│││││┘  ╬│││││╬╖
 ╖╬│││││╬╜        ╙╬│││││╖╖                               ╗╗╗
 ╬╬╬╬╖││╦╖        ╖╬││╗╣╣╣╬      ╟╣╣╬    ╟╣╣╣             ╜╜╜  ╟╣╣
 ╬╬╬╬╬╬╬╬╖│╬╖╖╓╬╪│╓╣╣╣╣╣╣╣╬      ╟╣╣╬    ╟╣╣╣ ╒╣╣╖╗╣╣╣╗   ╣╣╣ ╣╣╣╣╣╣ ╟╣╣╖   ╣╣╣
 ╬╬╬╬┐  ╙╬╬╬╬│╓╣╣╣╝╜  ╫╣╣╣╬      ╟╣╣╬    ╟╣╣╣ ╟╣╣╣╙ ╙╣╣╣  ╣╣╣ ╙╟╣╣╜╙  ╫╣╣  ╟╣╣
 ╬╬╬╬┐     ╙╬╬╣╣      ╫╣╣╣╬      ╟╣╣╬    ╟╣╣╣ ╟╣╣╬   ╣╣╣  ╣╣╣  ╟╣╣     ╣╣╣┌╣╣╜
 ╬╬╬╜       ╬╬╣╣      ╙╝╣╣╬      ╙╣╣╣╗╖╓╗╣╣╣╜ ╟╣╣╬   ╣╣╣  ╣╣╣  ╟╣╣╦╓    ╣╣╣╣╣
 ╙   ╓╦╖    ╬╬╣╣   ╓╗╗╖            ╙╝╣╣╣╣╝╜   ╘╝╝╜   ╝╝╝  ╝╝╝   ╙╣╣╣    ╟╣╣╣
   ╩╬╬╬╬╬╬╦╦╬╬╣╣╗╣╣╣╣╣╣╣╝
╫╣╣╣╣
      ╙╬╬╬╬╬╬╬╣╣╣╣╣╣╝╜
          ╙╬╬╬╣╣╣╜
             ╙

 Version information:
  ml-agents: 0.30.0,
  ml-agents-envs: 0.30.0,
  Communicator API: 1.5.0,
  PyTorch: 1.7.1+rocm3.8
[ERROR] UnityEnvironment worker 0: environment raised an unexpected exception.
Traceback (most recent call last):
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents_envs/rpc_communicator.py", line 87, in check_port
    s.bind(("localhost", port))
OSError: [Errno 98] Address already in use

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/subprocess_env_manager.py", line 163, in worker
    env = env_factory(worker_id, side_channels)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/learn.py", line 187, in create_unity_environment
    return UnityEnvironment(
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents_envs/environment.py", line 189, in __init__
    self._communicator = self._get_communicator(worker_id, base_port, timeout_wait)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents_envs/environment.py", line 267, in _get_communicator
    return RpcCommunicator(worker_id, base_port, timeout_wait)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents_envs/rpc_communicator.py", line 51, in __init__
    self.create_server()
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents_envs/rpc_communicator.py", line 57, in create_server
    self.check_port(self.port)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents_envs/rpc_communicator.py", line 89, in check_port
    raise UnityWorkerInUseException(self.worker_id)
mlagents_envs.exception.UnityWorkerInUseException: Couldn't start socket communication because worker number 0 is still in use. You may need to manually close a previously opened environment or use a different worker number.
[INFO] Learning was interrupted. Please wait while the graph is generated.
Traceback (most recent call last):
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/subprocess_env_manager.py", line 92, in send
    self.conn.send(req)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/multiprocessing/connection.py", line 206, in send
    self._send_bytes(_ForkingPickler.dumps(obj))
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/multiprocessing/connection.py", line 411, in _send_bytes
    self._send(header + buf)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/multiprocessing/connection.py", line 368, in _send
    n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/nobu/miniconda3/envs/unityml/bin/mlagents-learn", line 8, in <module>
    sys.exit(main())
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/learn.py", line 264, in main
    run_cli(parse_command_line())
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/learn.py", line 260, in run_cli
    run_training(run_seed, options, num_areas)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/learn.py", line 136, in run_training
    tc.start_learning(env_manager)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents_envs/timers.py", line 305, in wrapped
    return func(*args, **kwargs)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/trainer_controller.py", line 197, in start_learning    raise ex
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/trainer_controller.py", line 172, in start_learning    self._reset_env(env_manager)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents_envs/timers.py", line 305, in wrapped
    return func(*args, **kwargs)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/trainer_controller.py", line 105, in _reset_env
    env_manager.reset(config=new_config)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/env_manager.py", line 68, in reset
    self.first_step_infos = self._reset_env(config)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/subprocess_env_manager.py", line 440, in _reset_env    self.set_env_parameters(config)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/subprocess_env_manager.py", line 457, in set_env_parameters
    ew.send(EnvironmentCommand.ENVIRONMENT_PARAMETERS, config)
  File "/home/nobu/miniconda3/envs/unityml/lib/python3.8/site-packages/mlagents/trainers/subprocess_env_manager.py", line 94, in send
    raise UnityCommunicationException("UnityEnvironment worker: send failed.")
mlagents_envs.exception.UnityCommunicationException: UnityEnvironment worker: send failed.

Unity-Technologies / ml-agents

address already in use #5900