torch_load

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

torch_load function

<dl><dt>path</dt>
<dd>a path to the saved object</dd>
<dt>device</dt>
<dd>a device to load tensors to. By default we load to the <code>cpu</code> but you can also
load them to any <code>cuda</code> device. If <code>NULL</code> then the device where the tensor has been saved will
be reused.</dd></dl>

Arguments

Loads a saved object — torch_load

<dl>

<dt>path</dt>
<dd>a path to the saved object</dd>


<dt>device</dt>
<dd>a device to load tensors to. By default we load to the <code>cpu</code> but you can also
load them to any <code>cuda</code> device. If <code>NULL</code> then the device where the tensor has been saved will
be reused.</dd>

</dl>

Loads a saved object

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torch_load: Loads a saved object

Description

Usage

Arguments

See Also