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I am using macbook M2 and when i run the code on the jupyter notebook to load the model, I am getting this error. 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.
i tried this avatar = NHAOptimizer.load_from_checkpoint(ckpt, map_location=torch.device("cpu")).eval()
but it still does not work.
The text was updated successfully, but these errors were encountered:
I am using macbook M2 and when i run the code on the jupyter notebook to load the model, I am getting this error. 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.
i tried this avatar = NHAOptimizer.load_from_checkpoint(ckpt, map_location=torch.device("cpu")).eval()
but it still does not work.
The text was updated successfully, but these errors were encountered: