torch_stack

(sequence of Tensors) sequence of tensors to concatenate

tensors

(int) dimension to insert. Has to be between 0 and the number of dimensions of concatenated tensors (inclusive)

(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_stack function

Concatenates sequence of tensors along a new dimension.
All tensors need to be of the same size.

torch_stack: Stack

Description

Arguments

stack(tensors, dim=0, out=None) -> Tensor

Description

Arguments

stack(tensors, dim=0, out=None) -&gt; Tensor

stack(tensors, dim=0, out=None) -> Tensor