train_model.py 文件源码

def setup_model(args):
    if args.model_type.lower() == "lstm":
        model = LSTM(args)
    else:
        print('set valid model type name')
        exit()

    optimizer = model.setup_optimizer()
    if args.gpu >= 0:
        cuda.get_device(args.gpu).use()
        model.to_gpu()
    return model, optimizer