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Error when loading model to machine #3
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please follow the advice from the RuntimError. i.e use torch.load with map_location=torch.device('cpu') |
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Hi there,
I got an error when I run the following line in the predict_age_gender_race function:
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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 am using a machine with 1.1 GHz Dual-Core Intel Core m3 processor. Please kindly advice how to resolve.
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