torch_triangular_solve: Triangular_solve

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

Triangular_solve

Description

Triangular_solve

Usage

torch_triangular_solve(
  self,
  A,
  upper = TRUE,
  transpose = FALSE,
  unitriangular = FALSE
)

Arguments

self	(Tensor) multiple right-hand sides of size (*, m, k) where * is zero of more batch dimensions (b)
A	(Tensor) the input triangular coefficient matrix of size (*, m, m) where * is zero or more batch dimensions
upper	(bool, optional) whether to solve the upper-triangular system of equations (default) or the lower-triangular system of equations. Default: TRUE.
transpose	(bool, optional) whether A should be transposed before being sent into the solver. Default: FALSE.
unitriangular	(bool, optional) whether A is unit triangular. If TRUE, the diagonal elements of A are assumed to be 1 and not referenced from A. Default: FALSE.

triangular_solve(input, A, upper=TRUE, transpose=False, unitriangular=False) -> (Tensor, Tensor)

Solves a system of equations with a triangular coefficient matrix A and multiple right-hand sides b.

In particular, solves AX = b and assumes A is upper-triangular with the default keyword arguments.

torch_triangular_solve(b, A) can take in 2D inputs ⁠b, A⁠ or inputs that are batches of 2D matrices. If the inputs are batches, then returns batched outputs X

Examples

if (torch_is_installed()) {

A = torch_randn(c(2, 2))$triu()
A
b = torch_randn(c(2, 3))
b
torch_triangular_solve(b, A)
}

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