torch_bitwise_or

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_bitwise_or function

<dl><dt>self</dt>
<dd>NA the first input tensor</dd>
<dt>other</dt>
<dd>NA the second input tensor</dd></dl>

Arguments

Computes the bitwise OR of <code>input</code> and <code>other</code>. The input tensor must be of
integral or Boolean types. For bool tensors, it computes the logical OR.

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

Bitwise_or — torch_bitwise_or

<dl>

<dt>self</dt>
<dd>NA the first input tensor</dd>


<dt>other</dt>
<dd>NA the second input tensor</dd>

</dl>

Computes the bitwise OR of <code>input</code> and <code>other</code>. The input tensor must be of
integral or Boolean types. For bool tensors, it computes the logical OR.

torch_bitwise_or: Bitwise_or

Description

Usage

Arguments

bitwise_or(input, other, out=NULL) -> Tensor

Description

Usage

Arguments

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

bitwise_or(input, other, out=NULL) -> Tensor