torch_adaptive_avg_pool1d

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <doi:10.48550/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

Sebastian Fischer

Maximilian Pichler

 RStudio

torch_adaptive_avg_pool1d function

<dl><dt>self</dt>
<dd>the input tensor</dd>
<dt>output_size</dt>
<dd>the target output size (single integer)</dd></dl>

Arguments

Applies a 1D adaptive average pooling over an input signal composed of
several input planes.
See <code>nn_adaptive_avg_pool1d()</code> for details and output shape.

adaptive_avg_pool1d(input, output_size) -&gt; Tensor 

Adaptive_avg_pool1d — torch_adaptive_avg_pool1d

<dl>

<dt>self</dt>
<dd>the input tensor</dd>


<dt>output_size</dt>
<dd>the target output size (single integer)</dd>

</dl>

Applies a 1D adaptive average pooling over an input signal composed of
several input planes.
See <code>nn_adaptive_avg_pool1d()</code> for details and output shape.

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torch_adaptive_avg_pool1d: Adaptive_avg_pool1d

Description

Usage

Arguments

adaptive_avg_pool1d(input, output_size) -> Tensor

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Description

Usage

Arguments

adaptive_avg_pool1d(input, output_size) -&gt; Tensor

adaptive_avg_pool1d(input, output_size) -> Tensor