torch_index_put

Modify values selected by <code>indices</code>.

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_index_put function

<dl><dt>self</dt>
<dd>(Tensor) Tensor that will be indexed.</dd>
<dt>indices</dt>
<dd>(<code>List[Tensor]</code>) List of indices. Indices are torch tensors with
<code>torch_long()</code> dtype.</dd>
<dt>values</dt>
<dd>(Tensor) values that will be replaced the indexed location. Used
for <code>torch_index_put</code> and <code>torch_index_put_</code>.</dd>
<dt>accumulate</dt>
<dd>(bool) Wether instead of replacing the current values with <code>values</code>,
you want to add them.</dd></dl>

Arguments

Modify values selected by indices. — torch_index_put

<dl>

<dt>self</dt>
<dd>(Tensor) Tensor that will be indexed.</dd>


<dt>indices</dt>
<dd>(<code>List[Tensor]</code>) List of indices. Indices are torch tensors with
<code>torch_long()</code> dtype.</dd>


<dt>values</dt>
<dd>(Tensor) values that will be replaced the indexed location. Used
for <code>torch_index_put</code> and <code>torch_index_put_</code>.</dd>


<dt>accumulate</dt>
<dd>(bool) Wether instead of replacing the current values with <code>values</code>,
you want to add them.</dd>

</dl>

torch_index_put: Modify values selected by `indices`.

Description

Usage

Arguments