【Torch API】pytorch 中repeat_interleave函数详解

devil_son12342023-09-05 18:24

torch.``repeat_interleave(input , repeats , dim=None) → Tensor

Repeat elements of a tensor.

Parameters

input (Tensor) -- the input tensor.
repeats (Tensoror int) -- The number of repetitions for each element. repeats is broadcasted to fit the shape of the given axis.
dim (int, optional) -- The dimension along which to repeat values. By default, use the flattened input array, and return a flat output array.

Returns

Repeated tensor which has the same shape as input, except along the given axis.

复制代码

>>> x = torch.tensor([1, 2, 3])
>>> x.repeat_interleave(2)
tensor([1, 1, 2, 2, 3, 3])
>>> y = torch.tensor([[1, 2], [3, 4]])
>>> torch.repeat_interleave(y, 2)
tensor([1, 1, 2, 2, 3, 3, 4, 4])
>>> torch.repeat_interleave(y, 3, dim=1)
tensor([[1, 1, 1, 2, 2, 2],
        [3, 3, 3, 4, 4, 4]])
>>> torch.repeat_interleave(y, torch.tensor([1, 2]), dim=0)
tensor([[1, 2],
        [3, 4],
        [3, 4]])

torch.``repeat_interleave(repeats) → Tensor

If the repeats is tensor( $n1, n2, n3, ...$ ), then the output will be tensor( $0, 0, ..., 1, 1, ..., 2, 2, ..., ...$ ) where 0 appears n1 times, 1 appears n2 times, 2 appears n3 times, etc.