torch_log

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_log function

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

Arguments

Returns a new tensor with the natural logarithm of the elements
of <code>input</code>.
$$
 y_{i} = \log_{e} (x_{i})
$$

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

Log — torch_log

<dl>

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

</dl>

Returns a new tensor with the natural logarithm of the elements
of <code>input</code>.
$$
 y_{i} = \log_{e} (x_{i})
$$

Last chance! 50% off unlimited learning

torch_log: Log

Description

Usage

Arguments

log(input, out=NULL) -> Tensor

Examples

Last chance! 50% off unlimited learning

Description

Usage

Arguments

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

Examples

log(input, out=NULL) -> Tensor