I have a tensor `a`

of shape `(1, N, 1)`

. I need to left shift the tensor along dimension `1`

and add a new value as replacement. I have found a way to make this work and following is the code.

```
a = torch.from_numpy(np.array([1, 2, 3]))
a = a.unsqueeze(0).unsqeeze(2) # (1, 3, 1), my data resembles this shape, therefore the two unsqueeze
# want to left shift a along dim 1 and insert a new value at the end
# I achieve the required shifts using the following code
b = a.squeeze
c = b.roll(shifts=-1)
c[-1] = 4
c = c.unsqueeze(0).unsqueeze(2)
# c = [[[2], [3], [4]]]
```

My question is, is there a simpler way to do this? Thanks.