-------------------------------------------------------------------- {'games': [], 'teams': {0: {'team_name': 'Tinky Winky', 'agent': 'agents.t_041.myTeam', 'load_agent': False}, 1: {'team_name': 'Tinky Winky', 'agent': 'agents.t_041.myTeam', 'load_agent': False}}, 'num_of_games': 1} Error: Agent at "agents.t_041.myTeam" could not be loaded! Traceback (most recent call last): File "general_game_runner.py", line 147, in loadAgent agent_temp = mymodule.myAgent(i) File "/code/assignment3/code_base/agents/t_041/myTeam.py", line 284, in __init__ self.network.load_state_dict(torch.load(STATE_DICT_PATH)) File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 809, in load return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 1172, in _load result = unpickler.load() File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 1142, in persistent_load typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location)) File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 1116, in load_tensor wrap_storage=restore_location(storage, location), File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 217, in default_restore_location result = fn(storage, location) File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 182, in _cuda_deserialize device = validate_cuda_device(location) File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 166, in validate_cuda_device raise RuntimeError('Attempting to deserialize object on a CUDA ' RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU. Error: Agent at "agents.t_041.myTeam" could not be loaded! Traceback (most recent call last): File "general_game_runner.py", line 147, in loadAgent agent_temp = mymodule.myAgent(i) File "/code/assignment3/code_base/agents/t_041/myTeam.py", line 284, in __init__ self.network.load_state_dict(torch.load(STATE_DICT_PATH)) File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 809, in load return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 1172, in _load result = unpickler.load() File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 1142, in persistent_load typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location)) File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 1116, in load_tensor wrap_storage=restore_location(storage, location), File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 217, in default_restore_location result = fn(storage, location) File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 182, in _cuda_deserialize device = validate_cuda_device(location) File "/usr/local/lib/python3.8/site-packages/torch/serialization.py", line 166, in validate_cuda_device raise RuntimeError('Attempting to deserialize object on a CUDA ' RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.