torch_pinverse: Pinverse

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

Pinverse

Description

Pinverse

Usage

torch_pinverse(self, rcond = 1e-15)

Arguments

self	(Tensor) The input tensor of size (*, m, n) where * is zero or more batch dimensions
rcond	(float) A floating point value to determine the cutoff for small singular values. Default: 1e-15

pinverse(input, rcond=1e-15) -> Tensor

Calculates the pseudo-inverse (also known as the Moore-Penrose inverse) of a 2D tensor. Please look at ⁠Moore-Penrose inverse⁠_ for more details

Note

This method is implemented using the Singular Value Decomposition.

The pseudo-inverse is not necessarily a continuous function in the elements of the matrix `[1]`_.
Therefore, derivatives are not always existent, and exist for a constant rank only `[2]`_.
However, this method is backprop-able due to the implementation by using SVD results, and
could be unstable. Double-backward will also be unstable due to the usage of SVD internally.
See `~torch.svd` for more details.

Examples

if (torch_is_installed()) {

input = torch_randn(c(3, 5))
input
torch_pinverse(input)
# Batched pinverse example
a = torch_randn(c(2,6,3))
b = torch_pinverse(a)
torch_matmul(b, a)
}

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