stack expects each tensor to be equal size, but got [3, 256, 256] at entry 0 and [3, 256, 200] at entry 4
时间: 2024-05-14 22:12:33 浏览: 10
This error occurs when you try to stack tensors that have different sizes in the specified dimension. In this case, the error message suggests that you are trying to stack tensors of shape [3, 256, 256] and [3, 256, 200] along the first dimension (i.e., entry 0).
To fix this error, you need to ensure that all the tensors you want to stack have the same size along the specified dimension. You can either resize the tensors to be the same size or choose a different dimension to stack along.
For example, if you want to stack tensors along the second dimension (i.e., entry 1), you can use the following code:
```python
import torch
# create two tensors of different sizes
tensor1 = torch.randn(3, 256, 256)
tensor2 = torch.randn(3, 256, 200)
# stack tensors along the second dimension
stacked_tensor = torch.stack([tensor1, tensor2], dim=1)
```
This will create a stacked tensor of shape [3, 2, 256, 256], where the two input tensors are stacked along the second dimension.