HYDRA_FULL_ERROR=1 python run.py +algorithm=ac env.name="lbforaging:Foraging-8x8-2p-3f-v3" env.time_limit=25
(15698) [WARNING] - (10/21 18:02:57) - root >> No seed has been set.
ActorCritic(
(actor): MultiAgentFCNetwork(
(independent): ModuleList(
(0-1): 2 x Sequential(
(0): Linear(in_features=15, out_features=64, bias=True)
(1): ReLU()
(2): Linear(in_features=64, out_features=64, bias=True)
(3): ReLU()
(4): Linear(in_features=64, out_features=6, bias=True)
)
)
)
(critic): MultiAgentFCNetwork(
(independent): ModuleList(
(0-1): 2 x Sequential(
(0): Linear(in_features=15, out_features=64, bias=True)
(1): ReLU()
(2): Linear(in_features=64, out_features=64, bias=True)
(3): ReLU()
(4): Linear(in_features=64, out_features=1, bias=True)
)
)
)
(target_critic): MultiAgentFCNetwork(
(independent): ModuleList(
(0-1): 2 x Sequential(
(0): Linear(in_features=15, out_features=64, bias=True)
(1): ReLU()
(2): Linear(in_features=64, out_features=64, bias=True)
(3): ReLU()
(4): Linear(in_features=64, out_features=1, bias=True)
)
)
)
)
/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:245: UserWarning: WARN: The reward returned by `step()` must be a float, int, np.integer or np.floating, actual type: <class 'list'>
logger.warn(
/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:245: UserWarning: WARN: The reward returned by `step()` must be a float, int, np.integer or np.floating, actual type: <class 'list'>
logger.warn(
/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:245: UserWarning: WARN: The reward returned by `step()` must be a float, int, np.integer or np.floating, actual type: <class 'list'>
logger.warn(
/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:245: UserWarning: WARN: The reward returned by `step()` must be a float, int, np.integer or np.floating, actual type: <class 'list'>
logger.warn(
/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:245: UserWarning: WARN: The reward returned by `step()` must be a float, int, np.integer or np.floating, actual type: <class 'list'>
logger.warn(
/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:245: UserWarning: WARN: The reward returned by `step()` must be a float, int, np.integer or np.floating, actual type: <class 'list'>
logger.warn(
/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:245: UserWarning: WARN: The reward returned by `step()` must be a float, int, np.integer or np.floating, actual type: <class 'list'>
logger.warn(
/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:245: UserWarning: WARN: The reward returned by `step()` must be a float, int, np.integer or np.floating, actual type: <class 'list'>
logger.warn(
Error executing job with overrides: ['+algorithm=ac', 'env.name=lbforaging:Foraging-8x8-2p-3f-v3', 'env.time_limit=25']
Traceback (most recent call last):
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 92, in _call_target
return _target_(*args, **kwargs)
File "/home/jianglongyu/Documents/multi_agent/marl_lbforaging/marlbase/ac/train.py", line 103, in main
batch_rew[n, :] = torch.tensor(reward)
RuntimeError: The expanded size of the tensor (2) must match the existing size (8) at non-singleton dimension 1. Target sizes: [8, 2]. Tensor sizes: [8]
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/jianglongyu/Documents/multi_agent/marl_lbforaging/marlbase/run.py", line 43, in <module>
main()
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/main.py", line 94, in decorated_main
_run_hydra(
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/_internal/utils.py", line 394, in _run_hydra
_run_app(
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/_internal/utils.py", line 457, in _run_app
run_and_report(
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/_internal/utils.py", line 223, in run_and_report
raise ex
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
return func()
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/_internal/utils.py", line 458, in <lambda>
lambda: hydra.run(
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/_internal/hydra.py", line 132, in run
_ = ret.return_value
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/core/utils.py", line 260, in return_value
raise self._return_value
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/core/utils.py", line 186, in run_job
ret.return_value = task_function(task_cfg)
File "/home/jianglongyu/Documents/multi_agent/marl_lbforaging/marlbase/run.py", line 37, in main
hydra.utils.call(cfg.algorithm, env, eval_env, logger, _recursive_=False)
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 226, in instantiate
return instantiate_node(
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 347, in instantiate_node
return _call_target(_target_, partial, args, kwargs, full_key)
File "/home/jianglongyu/miniconda3/envs/marlbase/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 97, in _call_target
raise InstantiationException(msg) from e
hydra.errors.InstantiationException: Error in call to target 'ac.train.main':
RuntimeError('The expanded size of the tensor (2) must match the existing size (8) at non-singleton dimension 1. Target sizes: [8, 2]. Tensor sizes: [8]')
full_key: algorithm
Hi,
I got this error when i tried to run the code: