runtime error

Space not ready. Reason: Error, exitCode: 1, message: None

Container logs:

2022-06-01 19:01:46.022939: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2022-06-01 19:01:46.022979: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.

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Loading model from /home/user/.cache/huggingface/hub/e8bab807983d189ffbc03ea923f84ebe9558b3f33943aee8f6c12da5fad85e11.9b73e76dc7071bdcee7b70e04cd611a77122fdd3b0a17dd2db82bb30a1534c0d
Traceback (most recent call last):
  File "app.py", line 95, in <module>
    model = load_model_from_config(config,model_path_e)
  File "app.py", line 31, in load_model_from_config
    pl_sd = torch.load(ckpt, map_location="cuda")
  File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 712, 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 1046, in _load
    result = unpickler.load()
  File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 1016, in persistent_load
    load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
  File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 1001, in load_tensor
    wrap_storage=restore_location(storage, location),
  File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 970, in restore_location
    return default_restore_location(storage, map_location)
  File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 176, in default_restore_location
    result = fn(storage, location)
  File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 152, in _cuda_deserialize
    device = validate_cuda_device(location)
  File "/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", line 136, 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.