torch_avg_pool1d function

Avg_pool1d

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.