repeat(*sizes) → Tensor
Repeats this tensor along the specified dimensions.
Unlike expand(), this function copies the tensor’s data.
WARNING
torch.repeat() behaves differently from numpy.repeat, but is more similar to numpy.tile. For the operator similar to numpy.repeat, see torch.repeat_interleave().
- Parameters
-
sizes (torch.Size or int...) – The number of times to repeat this tensor along each dimension
Example:
>>> x = torch.tensor([1, 2, 3])
>>> x.repeat(4, 2)
tensor([[ 1, 2, 3, 1, 2, 3],
[ 1, 2, 3, 1, 2, 3],
[ 1, 2, 3, 1, 2, 3],
[ 1, 2, 3, 1, 2, 3]])
>>> x.repeat(4, 2, 1).size()
torch.Size([4, 2, 3])