torch_exp

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_exp function

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

Arguments

Returns a new tensor with the exponential of the elements
of the input tensor <code>input</code>.
$$
 y_{i} = e^{x_{i}}
$$

exp(input, out=NULL) -&gt; Tensor 

Exp — torch_exp

<dl>

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

</dl>

Returns a new tensor with the exponential of the elements
of the input tensor <code>input</code>.
$$
 y_{i} = e^{x_{i}}
$$

torch_exp: Exp

Description

Usage

Arguments

exp(input, out=NULL) -> Tensor

Examples

Description

Usage

Arguments

exp(input, out=NULL) -&gt; Tensor

Examples

exp(input, out=NULL) -> Tensor