runtime error

line 1531, in load_from_checkpoint loaded = _load_from_checkpoint( File "/home/user/.local/lib/python3.9/site-packages/pytorch_lightning/core/saving.py", line 60, in _load_from_checkpoint checkpoint = pl_load(checkpoint_path, map_location=map_location) File "/home/user/.local/lib/python3.9/site-packages/lightning_fabric/utilities/cloud_io.py", line 51, in _load return torch.load(f, map_location=map_location) # type: ignore[arg-type] File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 809, in load return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 1172, in _load result = unpickler.load() File "/usr/local/lib/python3.9/pickle.py", line 1212, in load dispatch[key[0]](self) File "/usr/local/lib/python3.9/pickle.py", line 1253, in load_binpersid self.append(self.persistent_load(pid)) File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 1142, in persistent_load typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location)) File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 1116, in load_tensor wrap_storage=restore_location(storage, location), File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 217, in default_restore_location result = fn(storage, location) File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 182, in _cuda_deserialize device = validate_cuda_device(location) File "/home/user/.local/lib/python3.9/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.

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