torch_bitwise_xor

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_bitwise_xor 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 XOR 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 XOR.

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

Bitwise_xor — torch_bitwise_xor

<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 XOR 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 XOR.

torch_bitwise_xor: Bitwise_xor

Description

Usage

Arguments

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

Description

Usage

Arguments

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

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