Stack tensors in sequence horizontally (column wise).
This is equivalent to concatenation along the first axis for 1-D tensors, and along the second axis for all other tensors.
>>> a = torch.tensor([1, 2, 3])
>>> b = torch.tensor([4, 5, 6])
>>> torch.hstack((a,b))
tensor([1, 2, 3, 4, 5, 6])
>>> a = torch.tensor([[1],[2],[3]])
>>> b = torch.tensor([[4],[5],[6]])
>>> torch.hstack((a,b))
tensor([[1, 4],
[2, 5],
[3, 6]])
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