Fractional_max_pool3d

Usage

nnf_fractional_max_pool3d(
  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 $k\ast k\ast k$) or a tuple (kT, kH, kW)

output_size

the target output size of the form $oT\ast oH\ast oW$. Can be a tuple (oT, oH, oW) or a single number $oH$ for a cubic output $oH\ast oH\ast oH$

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

undocumented argument.

Details

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

The max-pooling operation is applied in $kT\ast kH\ast kW$ 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.