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I'm getting the following error when running python3 test_kitti.py eventhough I have cuda and torch, I have also verified cuda using torch.cuda.is_available and it was True.
Traceback (most recent call last): File "test_kitti.py", line 407, in <module> model.load_state_dict(torch.load('../../pre-trained_models/KITTI_best.pkl')) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 584, in load return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 842, in _load result = unpickler.load() File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 834, in persistent_load load_tensor(data_type, size, key, _maybe_decode_ascii(location)) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 823, in load_tensor loaded_storages[key] = restore_location(storage, location) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 174, in default_restore_location result = fn(storage, location) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 150, in _cuda_deserialize device = validate_cuda_device(location) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 134, 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.
The text was updated successfully, but these errors were encountered:
I'm getting the following error when running python3 test_kitti.py eventhough I have cuda and torch, I have also verified cuda using torch.cuda.is_available and it was True.
Traceback (most recent call last): File "test_kitti.py", line 407, in <module> model.load_state_dict(torch.load('../../pre-trained_models/KITTI_best.pkl')) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 584, in load return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 842, in _load result = unpickler.load() File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 834, in persistent_load load_tensor(data_type, size, key, _maybe_decode_ascii(location)) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 823, in load_tensor loaded_storages[key] = restore_location(storage, location) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 174, in default_restore_location result = fn(storage, location) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 150, in _cuda_deserialize device = validate_cuda_device(location) File "/home/ahmed/anaconda3/envs/spinnet/lib/python3.6/site-packages/torch/serialization.py", line 134, 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.The text was updated successfully, but these errors were encountered: