torch_bitwise_xor

input

other

(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_xor function

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=None) -&gt; Tensor 

Bitwise_xor — torch_bitwise_xor

Bitwise_xor

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torch_bitwise_xor: Bitwise_xor

Description

Arguments

bitwise_xor(input, other, out=None) -> Tensor

Last chance! 50% off unlimited learning

Description

Arguments

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

bitwise_xor(input, other, out=None) -> Tensor