nnf_max_pool1d {torch}

Max_pool1d

Description

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
)

Arguments

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.