torch_triu: Triu

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

Triu

Description

Triu

Usage

torch_triu(self, diagonal = 0L)

Arguments

self	(Tensor) the input tensor.
diagonal	(int, optional) the diagonal to consider

triu(input, diagonal=0, out=NULL) -> Tensor

Returns the upper triangular part of a matrix (2-D tensor) or batch of matrices input, the other elements of the result tensor out are set to 0.

The upper triangular part of the matrix is defined as the elements on and above the diagonal.

The argument diagonal controls which diagonal to consider. If diagonal = 0, all elements on and above the main diagonal are retained. A positive value excludes just as many diagonals above the main diagonal, and similarly a negative value includes just as many diagonals below the main diagonal. The main diagonal are the set of indices \lbrace (i, i) \rbrace for i \in [0, \min\{d_{1}, d_{2}\} - 1] where d_{1}, d_{2} are the dimensions of the matrix.

Examples

if (torch_is_installed()) {

a = torch_randn(c(3, 3))
a
torch_triu(a)
torch_triu(a, diagonal=1)
torch_triu(a, diagonal=-1)
b = torch_randn(c(4, 6))
b
torch_triu(b, diagonal=1)
torch_triu(b, diagonal=-1)
}

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