torch_is_floating_point

(Tensor) the PyTorch tensor to test

input

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_is_floating_point function

Returns True if the data type of <code>input</code> is a floating point data type i.e.,
one of <code>torch_float64</code>, <code>torch.float32</code> and <code>torch.float16</code>.

is_floating_point(input) -&gt; (bool) 

Is_floating_point — torch_is_floating_point

Is_floating_point

torch_is_floating_point: Is_floating_point

Description

Arguments

is_floating_point(input) -> (bool)

Description

Arguments

is_floating_point(input) -&gt; (bool)

is_floating_point(input) -> (bool)