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tensorflow::ops::FractionalMaxPool::Attrs

#include <nn_ops.h>

Optional attribute setters for FractionalMaxPool.

Summary

Public attributes

deterministic_ = false
bool
overlapping_ = false
bool
pseudo_random_ = false
bool
seed2_ = 0
int64
seed_ = 0
int64

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.

Public attributes

deterministic_

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

overlapping_

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

pseudo_random_

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

seed2_

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

seed_

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

Public functions

Deterministic

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

Overlapping

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

PseudoRandom

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

Seed

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

Seed2

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

An second seed to avoid seed collision.

Defaults to 0