nnf_adaptive_max_pool3d

Applies a 3D adaptive max 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_max_pool3d function

<dl><dt>input</dt>
<dd>input tensor (minibatch, in_channels , iT * iH , iW)</dd>
<dt>output_size</dt>
<dd>the target output size (single integer or triple-integer tuple)</dd>
<dt>return_indices</dt>
<dd>whether to return pooling indices. Default:<code>FALSE</code></dd></dl>

Arguments

Adaptive_max_pool3d — nnf_adaptive_max_pool3d

<dl>

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


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


<dt>return_indices</dt>
<dd>whether to return pooling indices. Default:<code>FALSE</code></dd>

</dl>

nnf_adaptive_max_pool3d: Adaptive_max_pool3d

Description

Usage

Arguments