Max_pool1d — nnf_max_pool1d • torch

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

Usage

nnf_max_pool1d(
  input,
  kernel_size,
  stride = NULL,
  padding = 0,
  dilation = 1,
  ceil_mode = FALSE,
  return_indices = FALSE
)

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
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 to compute the output shape. Default: FALSE
return_indices: whether to return the indices where the max occurs.