For example, here is a example, input are a and b, output is result.

a = torch.tensor([[1, 2, 3, 4],

[2, 3, 4, 5]])

b = torch.tensor([[3, 4, 5, 6],

[4, 5, 6, 7]])

result = torch.tensor([[1, 2, 3, 4],

[3, 4, 5, 6],

[2, 3, 4, 5],

[4, 5, 6, 7]])

For example, here is a example, input are a and b, output is result.

a = torch.tensor([[1, 2, 3, 4],

[2, 3, 4, 5]])

b = torch.tensor([[3, 4, 5, 6],

[4, 5, 6, 7]])

result = torch.tensor([[1, 2, 3, 4],

[3, 4, 5, 6],

[2, 3, 4, 5],

[4, 5, 6, 7]])

```
torch.stack([a,b],dim=1).view(4,4)
```