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 )
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 |
output_size |
the target output size of the image of the form oH * oW.
Can be a tuple |
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 |
random_samples |
optional random samples. |
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.
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