torch_ormqr

(Tensor) the <code>a</code> from <code><a rd-options="" href="/link/torch_geqrf?package=torch&version=0.0.2" data-mini-rdoc="torch::torch_geqrf">torch_geqrf</a></code>.

input

(Tensor) the <code>tau</code> from <code><a rd-options="" href="/link/torch_geqrf?package=torch&version=0.0.2" data-mini-rdoc="torch::torch_geqrf">torch_geqrf</a></code>.

input2

(Tensor) the matrix to be multiplied.

input3

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.

Daniel Falbel

torch

Tensors and Neural Networks with 'GPU' Acceleration

Javier Luraschi

Dmitriy Selivanov

Athos Damiani

 RStudio

torch_ormqr function

Multiplies <code>mat</code> (given by <code>input3</code>) by the orthogonal <code>Q</code> matrix of the QR factorization
formed by <code><a rd-options="" href="/link/torch_geqrf?package=torch&version=0.0.2" data-mini-rdoc="torch::torch_geqrf">torch_geqrf</a></code> that is represented by <code>(a, tau)</code> (given by (<code>input</code>, <code>input2</code>)).
This directly calls the underlying LAPACK function <code>?ormqr</code>.
See <code>LAPACK documentation for ormqr</code>_ for further details.

ormqr(input, input2, input3, left=True, transpose=False) -&gt; Tensor 

(Tensor) the <code>a</code> from <code><a rd-options='' href='torch_geqrf'>torch_geqrf</a></code>.

(Tensor) the <code>tau</code> from <code><a rd-options='' href='torch_geqrf'>torch_geqrf</a></code>.

torch_ormqr: Ormqr

Description

Arguments

ormqr(input, input2, input3, left=True, transpose=False) -> Tensor

Description

Arguments

ormqr(input, input2, input3, left=True, transpose=False) -&gt; Tensor

ormqr(input, input2, input3, left=True, transpose=False) -> Tensor