nnf_fractional_max_pool2d function

Fractional_max_pool2d

Applies 2D fractional max pooling over an input signal composed of several input planes.

nnf_fractional_max_pool2d(
  input,
  kernel_size,
  output_size = NULL,
  output_ratio = NULL,
  return_indices = FALSE,
  random_samples = NULL
)

Arguments

• input: the input tensor
• kernel_size: the size of the window to take a max over. Can be a single number $k$ (for a square kernel of $k * k$) or a tuple (kH, kW)
• output_size: the target output size of the image of the form $oH * oW$. Can be a tuple (oH, oW) or a single number $oH$ for a square image $oH * oH$
• output_ratio: If one wants to have an output size as a ratio of the input size, this option can be given. This has to be a number or tuple in the range (0, 1)
• return_indices: if True, will return the indices along with the outputs.
• random_samples: optional random samples.

Details

Fractional MaxPooling is described in detail in the paper Fractional MaxPooling_ by Ben Graham

The max-pooling operation is applied in $kH * kW$ regions by a stochastic step size determined by the target output size. The number of output features is equal to the number of input planes.