torch_roll: Roll

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Roll

Description

Roll

Usage

torch_roll(self, shifts, dims = list())

Arguments

self	(Tensor) the input tensor.
shifts	(int or tuple of ints) The number of places by which the elements of the tensor are shifted. If shifts is a tuple, dims must be a tuple of the same size, and each dimension will be rolled by the corresponding value
dims	(int or tuple of ints) Axis along which to roll

roll(input, shifts, dims=NULL) -> Tensor

Roll the tensor along the given dimension(s). Elements that are shifted beyond the last position are re-introduced at the first position. If a dimension is not specified, the tensor will be flattened before rolling and then restored to the original shape.

Examples

if (torch_is_installed()) {

x = torch_tensor(c(1, 2, 3, 4, 5, 6, 7, 8))$view(c(4, 2))
x
torch_roll(x, 1, 1)
torch_roll(x, -1, 1)
torch_roll(x, shifts=list(2, 1), dims=list(1, 2))
}

torch documentation built on June 7, 2023, 6:19 p.m.