can't convert mps:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first

这个错误是由于将CUDA张量转换为numpy时引发的。解决方法是使用`Tensor.cpu()`将张量复制到主机内存中。在这种情况下，您可以使用`Tensor.to('cpu')`将张量移动到CPU设备上，然后再将其转换为numpy数组。在您提供的引用中，这个问题的解决方法是将代码修改为`plt.plot(torch.tensor(history["train_acc"], device='cpu').to('cpu'), label='train accuracy') plt.plot(torch.tensor(history["dev_acc"], device='cpu').to('cpu'), label='dev accuracy')`。这样就可以正确地将CUDA张量转换为numpy数组了。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [can‘t convert cuda:0 device type tensor to numpy.Use Tensor.cpu() to copy the tensor to host memory](https://blog.csdn.net/qq_43389515/article/details/125918689)[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_2"}}] [.reference_item style="max-width: 50%"]
- *2* [TypeError: can‘t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to](https://blog.csdn.net/weixin_45887062/article/details/126417024)[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_2"}}] [.reference_item style="max-width: 50%"]
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