nnf_adaptive_avg_pool2d

Applies a 2D adaptive average pooling over an input signal composed of
several input planes.

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

Christophe Regouby

Krzysztof Joachimiak

Hamada S. Badr

 RStudio

nnf_adaptive_avg_pool2d function

<dl><dt>input</dt>
<dd>input tensor (minibatch, in_channels , iH , iW)</dd>
<dt>output_size</dt>
<dd>the target output size (single integer or double-integer tuple)</dd></dl>

Arguments

Adaptive_avg_pool2d — nnf_adaptive_avg_pool2d

<dl>

<dt>input</dt>
<dd>input tensor (minibatch, in_channels , iH , iW)</dd>


<dt>output_size</dt>
<dd>the target output size (single integer or double-integer tuple)</dd>

</dl>

nnf_adaptive_avg_pool2d: Adaptive_avg_pool2d

Description

Usage

Arguments