nnf_avg_pool3d: Avg_pool3d

View source: R/nnf-pooling.R

nnf_avg_pool3dR Documentation

Avg_pool3d

Description

Applies 3D average-pooling operation in kT * kH * kW regions by step size sT * sH * sW steps. The number of output features is equal to \lfloor \frac{ \mbox{input planes} }{sT} \rfloor.

Usage

nnf_avg_pool3d(
  input,
  kernel_size,
  stride = NULL,
  padding = 0,
  ceil_mode = FALSE,
  count_include_pad = TRUE,
  divisor_override = NULL
)

Arguments

input

input tensor (minibatch, in_channels , iT * iH , iW)

kernel_size

size of the pooling region. Can be a single number or a tuple ⁠(kT, kH, kW)⁠

stride

stride of the pooling operation. Can be a single number or a tuple ⁠(sT, sH, sW)⁠. Default: kernel_size

padding

implicit zero paddings on both sides of the input. Can be a single number or a tuple ⁠(padT, padH, padW)⁠, Default: 0

ceil_mode

when True, will use ceil instead of floor in the formula to compute the output shape

count_include_pad

when True, will include the zero-padding in the averaging calculation

divisor_override

NA if specified, it will be used as divisor, otherwise size of the pooling region will be used. Default: NULL


torch documentation built on May 29, 2024, 9:54 a.m.