module torch has no attribute device
时间: 2023-10-22 08:10:08 浏览: 183
As an AI language model, I would suggest checking the spelling and syntax of your code. It could be possible that you misspelled the attribute or there could be a typo in your code. Additionally, you could try importing the module again or updating the version of the module. If the issue persists, it could be a bug or an error in the module itself.
相关问题
module 'torch' has no attribute 'device'
根据提供的引用内容,你遇到的问题是关于`module 'torch' has no attribute 'device'`的错误。根据引用和引用的解决方法,你可以尝试以下两种方法来解决这个问题:
1. 将`with torch.autocast(device.type, enabled=use_fp16):`改为`with torch.cuda.amp.autocast(enabled=use_fp16):`[^1]。
2. 确保你的PyTorch版本在1.6.0以上,并且你的CUDA版本是11.6,同时你的Python版本是3.8。如果你的CUDA版本过旧,可能会导致出现`cuda driver too old`的错误信息。你可以尝试升级你的CUDA驱动程序来解决这个问题。
AttributeError: module 'torch' has no attribute 'device'
This error occurs when you try to access the `device` attribute of the `torch` module in PyTorch, but it doesn't exist. One possible reason for this error is that you are using an older version of PyTorch that doesn't support this attribute.
To fix this error, you can try upgrading your PyTorch version to the latest one by running the following command:
```
pip install torch --upgrade
```
If you are still facing the same issue after upgrading PyTorch, you can try importing the `torch` module again and then accessing the `device` attribute:
```
import torch
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
```
This code will check if a CUDA-enabled GPU is available and assign the `device` accordingly. If no GPU is available, it will assign the CPU as the `device`.
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