torch_geqrf: Geqrf
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_geqrf R Documentation
Geqrf
Description
Geqrf
Usage
torch_geqrf(self)
Arguments
self
(Tensor) the input matrix
geqrf(input, out=NULL) -> (Tensor, Tensor)
This is a low-level function for calling LAPACK directly. This function
returns a namedtuple (a, tau) as defined in LAPACK documentation for geqrf_ .
You'll generally want to use torch_qr instead.
Computes a QR decomposition of input, but without constructing
Q and R as explicit separate matrices.
Rather, this directly calls the underlying LAPACK function ?geqrf
which produces a sequence of 'elementary reflectors'.
See LAPACK documentation for geqrf_ for further details.
torch documentation built on June 7, 2023, 6:19 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/gen-namespace.R
| torch_geqrf | R Documentation |
Geqrf
Description
Geqrf
Usage
torch_geqrf(self)
Arguments
self |
(Tensor) the input matrix |
geqrf(input, out=NULL) -> (Tensor, Tensor)
This is a low-level function for calling LAPACK directly. This function
returns a namedtuple (a, tau) as defined in LAPACK documentation for geqrf_ .
You'll generally want to use torch_qr instead.
Computes a QR decomposition of input, but without constructing
Q and R as explicit separate matrices.
Rather, this directly calls the underlying LAPACK function ?geqrf
which produces a sequence of 'elementary reflectors'.
See LAPACK documentation for geqrf_ for further details.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.