nnf_lp_pool2d {torch}

Lp_pool2d

Description

Applies a 2D power-average pooling over an input signal composed of several input planes. If the sum of all inputs to the power of p is zero, the gradient is set to zero as well.

Usage

nnf_lp_pool2d(input, norm_type, kernel_size, stride = NULL, ceil_mode = FALSE)

Arguments

input

the input tensor

norm_type

if inf than one gets max pooling if 0 you get sum pooling ( proportional to the avg pooling)

kernel_size

a single int, the size of the window

stride

a single int, the stride of the window. Default value is kernel_size

ceil_mode

when True, will use ceil instead of floor to compute the output shape