IndexError: too many indices for tensor of dimension 2
时间: 2024-05-02 22:21:08 浏览: 41
This error message typically occurs when you try to access an element in a tensor using too many indices. For example, if you have a 2D tensor with shape (3, 3), you can access a single element using two indices, like this:
```
import torch
x = torch.tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
# Access the element at row 1, column 2
element = x[1, 2] # 6
```
However, if you try to use more than two indices, you'll get an IndexError:
```
# This will raise an IndexError
element = x[1, 2, 0]
```
In this case, you're trying to access an element at the intersection of row 1, column 2, and depth 0, but the tensor only has two dimensions. To fix this error, make sure you're using the correct number of indices to access the elements you need.
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