torch_negative

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_negative function

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

Arguments

Alias for <code>torch_neg()</code>

negative(input, *, out=None) -&gt; Tensor 

Negative — torch_negative

<dl>

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

</dl>

Alias for <code>torch_neg()</code>

torch_negative: Negative

Description

Usage

Arguments

negative(input, *, out=None) -> Tensor

Description

Usage

Arguments

negative(input, *, out=None) -&gt; Tensor

negative(input, *, out=None) -> Tensor