partially initialized module 'torch' has no attribute 'no_grad' (most likely due to a circular import)
时间: 2023-11-15 14:04:30 浏览: 76
This error occurs when there is a circular import between modules in PyTorch. Specifically, it means that the `torch.no_grad()` function is being called before the `torch` module has finished importing all of its dependencies.
To fix this error, you can try importing `torch` at the beginning of your file and then using `torch.no_grad()` as needed within functions or methods. Additionally, you can try using `with torch.no_grad():` blocks instead of calling `torch.no_grad()` directly.
Here's an example of how to use `with torch.no_grad():`:
```
import torch
def my_function(x):
with torch.no_grad():
y = torch.exp(x)
return y
```
By using `with torch.no_grad():` like this, you ensure that the `torch` module is fully initialized before calling `torch.no_grad()`.