search

sjtu-marl / malib

A parallel framework for population-based multi-agent reinforcement learning.
https://malib.io
MIT License
498 stars 60 forks source link

An error in psro_leduc_poker.py #40

Closed Waiting-TT closed 2 years ago

Waiting-TT commented 2 years ago

when I run psro_leduc_poker.py, an error about ray occurs as follows:

/home/mm/anaconda3/envs/malib_330/bin/python /data/XXX/malib/examples/psro_leduc_poker.py WARNING:root:Cannot import alpharank utils, if you wanna run meta game experiments, please install open_spiel before that. [2022-03-30 21:53:36,067][INFO] registered request handler=optimization [2022-03-30 21:53:36,067][INFO] registered request handler=simulation [2022-03-30 21:53:36,068][INFO] registered request handler=evaluate [2022-03-30 21:53:36,068][INFO] registered request handler=update_payofftable [2022-03-30 21:53:36,068][INFO] registered request handler=rollout 2022-03-30 21:53:36,587 INFO services.py:1166 -- View the Ray dashboard at http://127.0.0.1:8265 [2022-03-30 21:53:37,672][INFO] Ray lauched: {'node_ip_address': '192.168.43.185', 'raylet_ip_address': '192.168.43.185', 'redis_address': '192.168.43.185:6379', 'object_store_address': '/tmp/ray/session_2022-03-30_21-53-36_069448_64379/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-03-30_21-53-36_069448_64379/sockets/raylet', 'webui_url': '127.0.0.1:8265', 'session_dir': '/tmp/ray/session_2022-03-30_21-53-36_069448_64379', 'metrics_export_port': 50956} [2022-03-30 21:53:37,674][INFO] Ray cluster resources info: {XXXXXXX} Logger server up! (pid=64609) [2022-03-30 21:53:38,698][INFO] dataset server initialized with (table_capacity=200000 table_learning_start=64) (pid=64635) WARNING:root:Cannot import alpharank utils, if you wanna run meta game experiments, please install open_spiel before that. (pid=64635) /data/XXX/malib/malib/evaluator/utils/payofftable.py:20: DeprecationWarning: np.bool is a deprecated alias for the builtin bool. To silence this warning, use bool by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool` here. (pid=64635) Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations (pid=64635) self.simulation_flag = np.zeros([0] * len(self.agents), dtype=np.bool) (pid=64621) [2022-03-30 21:53:39,902][INFO] ray.get_gpu_ids(): [] (pid=64621) [2022-03-30 21:53:39,902][INFO] CUDA_VISIBLE_DEVICES: (pid=64634) [2022-03-30 21:53:39,868][INFO] ray.get_gpu_ids(): [] (pid=64634) [2022-03-30 21:53:39,868][INFO] CUDA_VISIBLE_DEVICES: (pid=64634) WARNING:root:Cannot import alpharank utils, if you wanna run meta game experiments, please install open_spiel before that. (pid=64635) [2022-03-30 21:53:40,260][INFO] training manager launched, 2 learner(s) created (pid=64635) [2022-03-30 21:53:40,261][INFO] set worker num as 2 (pid=64621) WARNING:root:Cannot import alpharank utils, if you wanna run meta game experiments, please install open_spiel before that. (pid=64635) [2022-03-30 21:53:40,282][INFO] RolloutWorker manager launched, 2 rollout worker(s) alives. (pid=64635) [2022-03-30 21:53:40,423][INFO] Coordinator server started (pid=64633) WARNING:root:Cannot import alpharank utils, if you wanna run meta game experiments, please install open_spiel before that. (pid=64585) WARNING:root:Cannot import alpharank utils, if you wanna run meta game experiments, please install open_spiel before that. 2022-03-30 21:53:45,409 ERROR worker.py:1018 -- Possible unhandled error from worker: ray::CoordinatorServer.request() (pid=64635, ip=192.168.43.185) File "python/ray/_raylet.pyx", line 484, in ray._raylet.execute_task File "python/ray/_raylet.pyx", line 438, in ray._raylet.execute_task.function_executor File "/data/XXX/malib/malib/backend/coordinator/server.py", line 166, in request f"Missing handler for task type {task_request.task_type.value}" AttributeError: Missing handler for task type simulation 2022-03-30 21:53:46,410 ERROR worker.py:1018 -- Possible unhandled error from worker: ray::CoordinatorServer.request() (pid=64635, ip=192.168.43.185) File "python/ray/_raylet.pyx", line 484, in ray._raylet.execute_task File "python/ray/_raylet.pyx", line 438, in ray._raylet.execute_task.function_executor File "/data/XXX/malib/malib/backend/coordinator/server.py", line 166, in request f"Missing handler for task type {task_request.task_type.value}" AttributeError: Missing handler for task type simulation

I would be appreciate if you could give me some suggestions about how to solve it.

Additionally, I use the version of ray=1.0.0 and cloudpickle=1.6.0, because ray=1.8.0 is incompatible with cloudpickle=1.6.0(the same incompatible problem can see https://blog.csdn.net/weixin_42769131/article/details/121526206 ).

zhuerfei commented 2 years ago

have you solved this problem bro?