torch.vstack

torch.vstack(tensors, *, out=None) → Tensor

Stack tensors in sequence vertically (row wise).

This is equivalent to concatenation along the first axis after all 1-D tensors have been reshaped by torch.atleast_2d().

Parameters:

tensors (sequence of Tensors) – sequence of tensors to concatenate

Keyword Arguments:

out (Tensor, optional) – the output tensor.

Example:

>>> a = torch.tensor([1, 2, 3])
>>> b = torch.tensor([4, 5, 6])
>>> torch.vstack((a,b))
tensor([[1, 2, 3],
        [4, 5, 6]])
>>> a = torch.tensor([[1],[2],[3]])
>>> b = torch.tensor([[4],[5],[6]])
>>> torch.vstack((a,b))
tensor([[1],
        [2],
        [3],
        [4],
        [5],
        [6]])