nnf_avg_pool1d() R function from [torch]

Avg_pool1d

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


nnf_avg_pool1d(
  input,
  kernel_size,
  stride = NULL,
  padding = 0,
  ceil_mode = FALSE,
  count_include_pad = TRUE
)

input: input tensor of shape (minibatch , 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

Useful links