Performs fractional average pooling on the input.

tf.raw_ops.FractionalAvgPool( value, pooling_ratio, pseudo_random=False, overlapping=False, deterministic=False, seed=0, seed2=0, name=None )

Fractional average pooling is similar to Fractional max pooling in the pooling region generation step. The only difference is that after pooling regions are generated, a mean operation is performed instead of a max operation in each pooling region.

Args | |
---|---|

`value` | A `Tensor` . Must be one of the following types: `float32` , `float64` , `int32` , `int64` . 4-D with shape `[batch, height, width, channels]` . |

`pooling_ratio` | A list of `floats` that has length `>= 4` . Pooling ratio for each dimension of `value` , currently only supports row and col dimension and should be >= 1.0. For example, a valid pooling ratio looks like [1.0, 1.44, 1.73, 1.0]. The first and last elements must be 1.0 because we don't allow pooling on batch and channels dimensions. 1.44 and 1.73 are pooling ratio on height and width dimensions respectively. |

`pseudo_random` | An optional `bool` . Defaults to `False` . When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion. Check paper Benjamin Graham, Fractional Max-Pooling for difference between pseudorandom and random. |

`overlapping` | An optional `bool` . Defaults to `False` . When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells. For example:
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. |

`deterministic` | An optional `bool` . Defaults to `False` . When set to True, a fixed pooling region will be used when iterating over a FractionalAvgPool node in the computation graph. Mainly used in unit test to make FractionalAvgPool deterministic. |

`seed` | An optional `int` . Defaults to `0` . If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. |

`seed2` | An optional `int` . Defaults to `0` . An second seed to avoid seed collision. |

`name` | A name for the operation (optional). |

Returns | |
---|---|

A tuple of `Tensor` objects (output, row_pooling_sequence, col_pooling_sequence). | |

`output` | A `Tensor` . Has the same type as `value` . |

`row_pooling_sequence` | A `Tensor` of type `int64` . |

`col_pooling_sequence` | A `Tensor` of type `int64` . |

© 2020 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/FractionalAvgPool