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torch.tile
torch.tile(input, dims) → Tensor
-
Constructs a tensor by repeating the elements of
input
. Thedims
argument specifies the number of repetitions in each dimension.If
dims
specifies fewer dimensions thaninput
has, then ones are prepended todims
until all dimensions are specified. For example, ifinput
has shape (8, 6, 4, 2) anddims
is (2, 2), thendims
is treated as (1, 1, 2, 2).Analogously, if
input
has fewer dimensions thandims
specifies, theninput
is treated as if it were unsqueezed at dimension zero until it has as many dimensions asdims
specifies. For example, ifinput
has shape (4, 2) anddims
is (3, 3, 2, 2), theninput
is treated as if it had the shape (1, 1, 4, 2).Note
This function is similar to NumPy’s tile function.
- Parameters
Example:
>>> x = torch.tensor([1, 2, 3]) >>> x.tile((2,)) tensor([1, 2, 3, 1, 2, 3]) >>> y = torch.tensor([[1, 2], [3, 4]]) >>> torch.tile(y, (2, 2)) tensor([[1, 2, 1, 2], [3, 4, 3, 4], [1, 2, 1, 2], [3, 4, 3, 4]])
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https://pytorch.org/docs/2.1/generated/torch.tile.html