报错：RuntimeError: Expected object of backend CUDA but got backend CPU for argument #3 ‘index‘

叁歲伎倆 2023-07-25 09:00 2阅读 0赞

# ![20191009191333910.png][][日萌社][Link 1] #

[人工智能AI：Keras PyTorch MXNet TensorFlow PaddlePaddle 深度学习实战（不定时更新）][AI_Keras PyTorch MXNet TensorFlow PaddlePaddle]

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RuntimeError: Expected object of backend CUDA but got backend CPU for argument #3 'index'
        分析：data数据或者model没有调用.to(device)
        解决：
            # 进行可用设备检测, 有GPU的话将优先使用GPU
            device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
            model = model.to(device) 或 model = model.cuda(device)
            output = model(input.to(device)) 或 output = model(input.cuda(device))
            # 选择损失函数, 这里选择预定义的交叉熵损失函数
            criterion = torch.nn.CrossEntropyLoss().to(device) 或 criterion = torch.nn.CrossEntropyLoss().cuda(device)
            loss = criterion(output, lable.to(device)) 或 loss = criterion(output, lable.cuda(device))

[20191009191333910.png]: /images/20230528/478bae823aef439c99b41a9854951c23.png
[Link 1]: http://www.rimengshe.com/
[AI_Keras PyTorch MXNet TensorFlow PaddlePaddle]: https://blog.csdn.net/zimiao552147572/article/details/88867161