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.

Tensors and Neural Networks with 'GPU' Acceleration

package-ubuntu-20.04-r-4.0.5#cran#torch-0.3.0

<p>Fills the input Tensor with the scalar value <code>1</code>
</p>

<table summary="R argblock"><tr valign="top">
<td><code>tensor</code></td>
<td>
<p>an n-dimensional <code>Tensor</code></p>
</td>
</tr></table>

if (torch_is_installed()) {
w <- torch_empty(3, 5)
nn_init_ones_(w)

}

package-ubuntu-20.04-r-4.0.5#cran#torch-0.3.0#docs#nn_init_ones_

nn_init_ones_

Description

Usage

Arguments

Examples

torch

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