tensorflow:: ops:: FractionalMaxPool:: Attrs
#include <nn_ops.h>
Optional attribute setters for FractionalMaxPool.
Summary
Public attributes |
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deterministic_ = false
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bool
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overlapping_ = false
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bool
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pseudo_random_ = false
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bool
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seed2_ = 0
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int64
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seed_ = 0
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int64
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Public functions |
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Deterministic(bool x)
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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.
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Overlapping(bool x)
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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.
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PseudoRandom(bool x)
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TF_MUST_USE_RESULT Attrs
When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion.
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Seed(int64 x)
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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.
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Seed2(int64 x)
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TF_MUST_USE_RESULT Attrs
An second seed to avoid seed collision.
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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