torch_tensor_from_buffer

buffer_from_torch_tensor

It creates a tensor without taking ownership of the memory it points to.
You must call <code>clone</code> if you want to copy the memory over a new tensor.

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_tensor_from_buffer function

<dl><dt>buffer</dt>
<dd>An R atomic object containing the data in a contiguous array.</dd>
<dt>shape</dt>
<dd>The shape of the resulting tensor.</dd>
<dt>dtype</dt>
<dd>A torch data type for the tresulting tensor.</dd>
<dt>tensor</dt>
<dd>Tensor object that will be converted into a buffer.</dd></dl>

Arguments

<ul>
<li><code>buffer_from_torch_tensor()</code>: Creates a raw vector containing the tensor data. Causes a data copy.</li>
</ul>

Functions

Creates a tensor from a buffer of memory — torch_tensor_from_buffer

<dl>

<dt>buffer</dt>
<dd>An R atomic object containing the data in a contiguous array.</dd>


<dt>shape</dt>
<dd>The shape of the resulting tensor.</dd>


<dt>dtype</dt>
<dd>A torch data type for the tresulting tensor.</dd>


<dt>tensor</dt>
<dd>Tensor object that will be converted into a buffer.</dd>

</dl>

torch_tensor_from_buffer: Creates a tensor from a buffer of memory

Description

Usage

Arguments

Functions