stack expects each tensor to be equal size, but got [1, 3, 64] at entry 0 and [1, 3, 142] at entry 1
时间: 2024-02-10 09:00:46 浏览: 31
This error message indicates that there are two tensors being stacked together using the `torch.stack()` function, but they have different sizes along one of their dimensions. Specifically, the tensors have shapes `[1, 3, 64]` and `[1, 3, 142]`.
To fix this error, you need to ensure that the tensors being stacked have the same size along the dimension you want to stack them along. You can either reshape the tensors to have the same size or pad the smaller tensor with zeros to match the larger tensor's size. Once the tensors have the same size, you can stack them using `torch.stack()`.
相关问题
stack expects each tensor to be equal size, but got [3, 4032, 3024] at entry 0 and [3, 3024, 4032] at entry 1
这个错误的原因是在使用 `torch.stack()` 函数将两个 tensor 进行拼接时,两个 tensor 的维度不匹配,导致无法拼接。具体来说,错误信息中显示第一个 tensor 的形状是 [3, 4032, 3024],第二个 tensor 的形状是 [3, 3024, 4032],其中第二个 tensor 的最后两个维度与第一个 tensor 的对调了。
要解决这个问题,你可以使用 `torch.transpose()` 函数将第二个 tensor 的最后两个维度对调,使得它们与第一个 tensor 的维度匹配,然后再使用 `torch.stack()` 函数进行拼接。具体的代码如下所示:
```
import torch
# 创建两个 tensor
tensor1 = torch.randn(3, 4032, 3024)
tensor2 = torch.randn(3, 3024, 4032)
# 将 tensor2 的最后两个维度对调
tensor2 = torch.transpose(tensor2, 1, 2)
# 使用 torch.stack() 进行拼接
result = torch.stack([tensor1, tensor2], dim=0)
```
这样就能够成功地将两个 tensor 进行拼接了。
RuntimeError: stack expects each tensor to be equal size, but got [96, 3] at entry 0 and [64, 3] at entry 17
这个错误通常发生在使用堆栈函数(如torch.stack)时,由于输入张量的大小不同而导致无法堆叠。在您的情况下,输入张量的大小分别为[96, 3]和[64, 3],它们的第二维不同,因此无法堆叠。
您需要确保所有输入张量的形状都相同,或者根据您的需求调整它们的形状,以使它们具有相同的大小。您可以使用函数如torch.reshape或torch.unsqueeze来改变张量的形状。