runtime error

it__.py", line 179, in get_kandinsky2 model = get_kandinsky2_1( File "/home/user/.local/lib/python3.8/site-packages/kandinsky2/__init__.py", line 159, in get_kandinsky2_1 model = Kandinsky2_1(config, cache_model_name, cache_prior_name, device, task_type=task_type) File "/home/user/.local/lib/python3.8/site-packages/kandinsky2/kandinsky2_1_model.py", line 57, in __init__ self.prior.load_state_dict(torch.load(prior_path), strict=False) File "/home/user/.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 "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 1172, in _load result = unpickler.load() File "/usr/local/lib/python3.8/pickle.py", line 1212, in load dispatch[key[0]](self) File "/usr/local/lib/python3.8/pickle.py", line 1253, in load_binpersid self.append(self.persistent_load(pid)) File "/home/user/.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 "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 1116, in load_tensor wrap_storage=restore_location(storage, location), File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 217, in default_restore_location result = fn(storage, location) File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 182, in _cuda_deserialize device = validate_cuda_device(location) File "/home/user/.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.

Container logs: