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tensorflow::ops::FractionalAvgPool::Attrs

#include <nn_ops.h>

Optional attribute setters for FractionalAvgPool.

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 FractionalAvgPool 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::FractionalAvgPool::Attrs::deterministic_ = false

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

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

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

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

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

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.

Defaults to false

TF_MUST_USE_RESULT Attrs tensorflow::ops::FractionalAvgPool::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 [41/3, 26/3] for fractional avg pooling.

Defaults to false

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

An second seed to avoid seed collision.

Defaults to 0

© 2018 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/api_docs/cc/struct/tensorflow/ops/fractional-avg-pool/attrs.html