torch_bitwise_not

input

(Tensor, optional) the output tensor.

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

 RStudio

torch_bitwise_not function

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=None) -&gt; Tensor 

Bitwise_not — torch_bitwise_not

Bitwise_not

torch_bitwise_not: Bitwise_not

Description

Arguments

bitwise_not(input, out=None) -> Tensor

Description

Arguments

bitwise_not(input, out=None) -&gt; Tensor

bitwise_not(input, out=None) -> Tensor