torch.dstack — PyTorch 2.0 documentation (original) (raw)

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

Stack tensors in sequence depthwise (along third axis).

This is equivalent to concatenation along the third axis after 1-D and 2-D tensors have been reshaped by torch.atleast_3d().

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