torch_adaptive_avg_pool1d

NA the target output size (single integer)

output_size

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

 RStudio

torch_adaptive_avg_pool1d function

Applies a 1D adaptive average pooling over an input signal composed of
several input planes.
See <code>~torch.nn.AdaptiveAvgPool1d</code> for details and output shape.

adaptive_avg_pool1d(input, output_size) -&gt; Tensor 

Adaptive_avg_pool1d — torch_adaptive_avg_pool1d

Adaptive_avg_pool1d

torch_adaptive_avg_pool1d: Adaptive_avg_pool1d

Description

Arguments

adaptive_avg_pool1d(input, output_size) -> Tensor

Description

Arguments

adaptive_avg_pool1d(input, output_size) -&gt; Tensor

adaptive_avg_pool1d(input, output_size) -> Tensor