Avg_pool1d

Avg_pool1d

Usage

torch_avg_pool1d(
  self,
  kernel_size,
  stride = list(),
  padding = 0L,
  ceil_mode = FALSE,
  count_include_pad = TRUE
)

Arguments

self

input tensor of shape \((\mbox{minibatch} , \mbox{in\_channels} , iW)\)

kernel_size

the size of the window. Can be a single number or a tuple (kW,)

stride

the stride of the window. Can be a single number or a tuple (sW,). Default: kernel_size

padding

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

ceil_mode

when TRUE, will use ceil instead of floor to compute the output shape. Default: FALSE

count_include_pad

when TRUE, will include the zero-padding in the averaging calculation. Default: TRUE

avg_pool1d(input, kernel_size, stride=NULL, padding=0, ceil_mode=FALSE, count_include_pad=TRUE) -> Tensor

Applies a 1D average pooling over an input signal composed of several input planes.

See nn_avg_pool1d() for details and output shape.