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# tf.compat.v1.nn.fractional_avg_pool

Performs fractional average pooling on the input. (deprecated)

This is a deprecated version of `fractional_avg_pool`.

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.

`value` A `Tensor`. 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: `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 [20, 16] for fractional avg pooling.
`deterministic` An optional `bool`. Deprecated; use `fractional_avg_pool_v2` instead.
`seed` An optional `int`. Defaults to `0`. If 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`. Deprecated; use `fractional_avg_pool_v2` instead.
`name` A name for the operation (optional).

A tuple of `Tensor` objects (`output`, `row_pooling_sequence`, `col_pooling_sequence`). output: Output `Tensor` after fractional avg pooling. Has the same type as `value`. row_pooling_sequence: A `Tensor` of type `int64`. col_pooling_sequence: A `Tensor` of type `int64`.

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