torch_clone

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_clone function

<dl><dt>self</dt>
<dd>(Tensor) the input tensor.</dd>
<dt>memory_format</dt>
<dd>a torch memory format. see <code>torch_preserve_format()</code>.</dd></dl>

Arguments

Returns a copy of <code>input</code>.

clone(input, *, memory_format=torch.preserve_format) -&gt; Tensor 

Clone — torch_clone

<dl>

<dt>self</dt>
<dd>(Tensor) the input tensor.</dd>


<dt>memory_format</dt>
<dd>a torch memory format. see <code>torch_preserve_format()</code>.</dd>

</dl>

Returns a copy of <code>input</code>.

torch_clone: Clone

Description

Usage

Arguments

clone(input, *, memory_format=torch.preserve_format) -> Tensor

Description

Usage

Arguments

clone(input, *, memory_format=torch.preserve_format) -&gt; Tensor

clone(input, *, memory_format=torch.preserve_format) -> Tensor