use model.to(device) to instead of model.cuda() #142
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load_model_from_config may use cpu to eval the model, return the model and call eval() after the model.to(device) can solve this problem.
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load_model_from_config may use cpu to eval the model,
return the model and call eval() after the model.to(device)
can solve this problem.