Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same

这个错误是由于输入数据的类型（torch.cuda.FloatTensor）和模型权重的类型（torch.FloatTensor）不匹配导致的。 这通常是因为输入数据被加载到了GPU中，而模型权重还在CPU上。解决这个问题的方法是将模型加载到GPU上，可以使用以下代码实现：model = model.cuda() 或者 model = model.to('cuda')。这样可以确保输入数据和模型权重的类型一致，避免类型不匹配的错误。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *2* [RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the](https://blog.csdn.net/qq_43369406/article/details/128663487)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *3* [Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same](https://blog.csdn.net/landian0531/article/details/120737235)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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