torch (version 0.8.1)

torch_squeeze: Squeeze

Description

Squeeze

Usage

torch_squeeze(self, dim)

Arguments

self

(Tensor) the input tensor.

dim

(int, optional) if given, the input will be squeezed only in this dimension

squeeze(input, dim=NULL, out=NULL) -> Tensor

Returns a tensor with all the dimensions of input of size 1 removed.

For example, if input is of shape: \((A \times 1 \times B \times C \times 1 \times D)\) then the out tensor will be of shape: \((A \times B \times C \times D)\).

When dim is given, a squeeze operation is done only in the given dimension. If input is of shape: \((A \times 1 \times B)\), squeeze(input, 0) leaves the tensor unchanged, but squeeze(input, 1) will squeeze the tensor to the shape \((A \times B)\).

Examples

if (torch_is_installed()) {

x = torch_zeros(c(2, 1, 2, 1, 2))
x
y = torch_squeeze(x)
y
y = torch_squeeze(x, 1)
y
y = torch_squeeze(x, 2)
y
}