torch_orgqr

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <doi:10.48550/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

Sebastian Fischer

 RStudio

torch_orgqr 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></dl>

Arguments

Computes the orthogonal matrix <code>Q</code> of a QR factorization, from the <code>(input, input2)</code>
tuple returned by <code>torch_geqrf</code>.
This directly calls the underlying LAPACK function <code>?orgqr</code>.
See <code>LAPACK documentation for orgqr</code>_ for further details.

orgqr(input, input2) -&gt; Tensor 

Orgqr — torch_orgqr

<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>

</dl>

Computes the orthogonal matrix <code>Q</code> of a QR factorization, from the <code>(input, input2)</code>
tuple returned by <code>torch_geqrf</code>.
This directly calls the underlying LAPACK function <code>?orgqr</code>.
See <code>LAPACK documentation for orgqr</code>_ for further details.

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torch_orgqr: Orgqr

Description

Usage

Arguments

orgqr(input, input2) -> Tensor

Last chance! 50% off unlimited learning

Description

Usage

Arguments

orgqr(input, input2) -&gt; Tensor

orgqr(input, input2) -> Tensor