nnf_max_pool3d: Max_pool3d

Description Usage Arguments

View source: R/nnf-pooling.R

Description

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

Usage

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nnf_max_pool3d(
  input,
  kernel_size,
  stride = NULL,
  padding = 0,
  dilation = 1,
  ceil_mode = FALSE,
  return_indices = FALSE
)

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

dilation

controls the spacing between the kernel points; also known as the à trous algorithm.

ceil_mode

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

return_indices

whether to return the indices where the max occurs.


torch documentation built on Oct. 7, 2021, 9:22 a.m.