torch_log2

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_log2 function

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

Arguments

Returns a new tensor with the logarithm to the base 2 of the elements
of <code>input</code>.
$$
 y_{i} = \log_{2} (x_{i})
$$

log2(input, out=NULL) -&gt; Tensor 

Log2 — torch_log2

<dl>

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

</dl>

Returns a new tensor with the logarithm to the base 2 of the elements
of <code>input</code>.
$$
 y_{i} = \log_{2} (x_{i})
$$

torch_log2: Log2

Description

Usage

Arguments

log2(input, out=NULL) -> Tensor

Examples

Description

Usage

Arguments

log2(input, out=NULL) -&gt; Tensor

Examples

log2(input, out=NULL) -> Tensor