local_device

with_device

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

Maximilian Pichler

 RStudio

local_device function

<dl><dt>device</dt>
<dd>A torch device to be used by default when creating new tensors.</dd>
<dt>...</dt>
<dd>currently unused.</dd>
<dt>.env</dt>
<dd>The environment to use for scoping.</dd>
<dt>code</dt>
<dd>The code to be evaluated in the modified environment.</dd></dl>

Arguments

<ul>
<li><code>with_device()</code>: Modifies the default device for the selected context.</li>
</ul>

Functions

Device contexts — local_device

<dl>

<dt>device</dt>
<dd>A torch device to be used by default when creating new tensors.</dd>


<dt>...</dt>
<dd>currently unused.</dd>


<dt>.env</dt>
<dd>The environment to use for scoping.</dd>


<dt>code</dt>
<dd>The code to be evaluated in the modified environment.</dd>

</dl>

Device contexts

local_device: Device contexts

Description

Usage

Arguments

Functions