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().
>>> 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]])
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