torch_bitwise_not

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_not function

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

Arguments

Computes the bitwise NOT of the given input tensor. The input tensor must be of
integral or Boolean types. For bool tensors, it computes the logical NOT.

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

Bitwise_not — torch_bitwise_not

<dl>

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

</dl>

Computes the bitwise NOT of the given input tensor. The input tensor must be of
integral or Boolean types. For bool tensors, it computes the logical NOT.

torch_bitwise_not: Bitwise_not

Description

Usage

Arguments

bitwise_not(input, out=NULL) -> Tensor

Description

Usage

Arguments

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

bitwise_not(input, out=NULL) -> Tensor