tensorflow::ops::FractionalMaxPool::Attrs

#include <nn_ops.h>

Optional attribute setters for FractionalMaxPool.

Summary

Public functions
`Deterministic(bool x)`	`TF_MUST_USE_RESULT Attrs` When set to True, a fixed pooling region will be used when iterating over a FractionalMaxPool node in the computation graph.
`Overlapping(bool x)`	`TF_MUST_USE_RESULT Attrs` When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
`PseudoRandom(bool x)`	`TF_MUST_USE_RESULT Attrs` When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion.
`Seed(int64 x)`	`TF_MUST_USE_RESULT Attrs` If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
`Seed2(int64 x)`	`TF_MUST_USE_RESULT Attrs` An second seed to avoid seed collision.

bool tensorflow::ops::FractionalMaxPool::Attrs::deterministic_ = false

bool tensorflow::ops::FractionalMaxPool::Attrs::overlapping_ = false

bool tensorflow::ops::FractionalMaxPool::Attrs::pseudo_random_ = false

int64 tensorflow::ops::FractionalMaxPool::Attrs::seed2_ = 0

int64 tensorflow::ops::FractionalMaxPool::Attrs::seed_ = 0

TF_MUST_USE_RESULT Attrs tensorflow::ops::FractionalMaxPool::Attrs::Deterministic(
  bool x
)

When set to True, a fixed pooling region will be used when iterating over a FractionalMaxPool node in the computation graph.

Mainly used in unit test to make FractionalMaxPool deterministic.

Defaults to false

TF_MUST_USE_RESULT Attrs tensorflow::ops::FractionalMaxPool::Attrs::Overlapping(
  bool x
)

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 max pooling.

Defaults to false

TF_MUST_USE_RESULT Attrs tensorflow::ops::FractionalMaxPool::Attrs::PseudoRandom(
  bool x
)

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.

Defaults to false

TF_MUST_USE_RESULT Attrs tensorflow::ops::FractionalMaxPool::Attrs::Seed(
  int64 x
)

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.

Defaults to 0

TF_MUST_USE_RESULT Attrs tensorflow::ops::FractionalMaxPool::Attrs::Seed2(
  int64 x
)

An second seed to avoid seed collision.

Defaults to 0