Have a question? Connect with the community at the TensorFlow Forum Visit Forum

FractionalAvgPoolGrad.Options

public static class FractionalAvgPoolGrad.Options

Optional attributes for FractionalAvgPoolGrad

Public Methods

FractionalAvgPoolGrad.Options
overlapping (Boolean overlapping)

Inherited Methods

Public Methods

public FractionalAvgPoolGrad.Options overlapping (Boolean overlapping)

Parameters
overlapping When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells. For example:

`index 0 1 2 3 4`

`value 20 5 16 3 7`

If the pooling sequence is [0, 2, 4], then 16, at index 2 will be used twice. The result would be [41/3, 26/3] for fractional avg pooling.