torch: nnf_adaptive_max_pool3d – R documentation

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nnf_adaptive_max_pool3d

Adaptive_max_pool3d

Description

Applies a 3D adaptive max pooling over an input signal composed of several input planes.

Usage

nnf_adaptive_max_pool3d(input, output_size, return_indices = FALSE)

Arguments

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

torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0

MIT + file LICENSE

Authors

Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]

Initial release

nnf_adaptive_max_pool3d

Description

Usage

Arguments

torch

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