torch_orgqr

(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

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_orgqr function

Computes the orthogonal matrix <code>Q</code> of a QR factorization, from the <code>(input, input2)</code>
tuple returned 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>.
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 

(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_orgqr: Orgqr

Description

Arguments

orgqr(input, input2) -> Tensor

Description

Arguments

orgqr(input, input2) -&gt; Tensor

orgqr(input, input2) -> Tensor