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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 ofTensors) – 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]])
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