torch_ormqr

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

Christophe Regouby

Krzysztof Joachimiak

Hamada S. Badr

 RStudio

torch_ormqr function

<dl><dt>self</dt>
<dd>(Tensor) the <code>a</code> from <code>torch_geqrf</code>.</dd>
<dt>input2</dt>
<dd>(Tensor) the <code>tau</code> from <code>torch_geqrf</code>.</dd>
<dt>input3</dt>
<dd>(Tensor) the matrix to be multiplied.</dd>
<dt>left</dt>
<dd>see LAPACK documentation</dd>
<dt>transpose</dt>
<dd>see LAPACK documentation</dd></dl>

Arguments

Multiplies <code>mat</code> (given by <code>input3</code>) by the orthogonal <code>Q</code> matrix of the QR factorization
formed by <code>torch_geqrf()</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 <a href="https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top.html">LAPACK documentation for ormqr</a> for further details.

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

Ormqr — torch_ormqr

<dl>

<dt>self</dt>
<dd>(Tensor) the <code>a</code> from <code>torch_geqrf</code>.</dd>


<dt>input2</dt>
<dd>(Tensor) the <code>tau</code> from <code>torch_geqrf</code>.</dd>


<dt>input3</dt>
<dd>(Tensor) the matrix to be multiplied.</dd>


<dt>left</dt>
<dd>see LAPACK documentation</dd>


<dt>transpose</dt>
<dd>see LAPACK documentation</dd>

</dl>

Multiplies <code>mat</code> (given by <code>input3</code>) by the orthogonal <code>Q</code> matrix of the QR factorization
formed by <code>torch_geqrf()</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 <a href='https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top.html'>LAPACK documentation for ormqr</a> for further details.

torch_ormqr: Ormqr

Description

Usage

Arguments

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

Description

Usage

Arguments

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

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