torch_diagflat: Diagflat

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

Diagflat

Description

Diagflat

Usage

torch_diagflat(self, offset = 0L)

Arguments

self	(Tensor) the input tensor.
offset	(int, optional) the diagonal to consider. Default: 0 (main diagonal).

diagflat(input, offset=0) -> Tensor

• If input is a vector (1-D tensor), then returns a 2-D square tensor with the elements of input as the diagonal.

• If input is a tensor with more than one dimension, then returns a 2-D tensor with diagonal elements equal to a flattened input.

The argument offset controls which diagonal to consider:

• If offset = 0, it is the main diagonal.

• If offset > 0, it is above the main diagonal.

• If offset < 0, it is below the main diagonal.

Examples

if (torch_is_installed()) {

a = torch_randn(c(3))
a
torch_diagflat(a)
torch_diagflat(a, 1)
a = torch_randn(c(2, 2))
a
torch_diagflat(a)
}

torch documentation built on May 29, 2024, 9:54 a.m.