org.bytedeco.javacpp

Class tensorflow.FractionalAvgPool.Attrs

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.FractionalAvgPool.Attrs

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow.FractionalAvgPool

public static class tensorflow.FractionalAvgPool.Attrs
extends Pointer

Optional attribute setters for FractionalAvgPool

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
Attrs() Default native constructor.
Attrs(long size) Native array allocator.
Attrs(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
boolean	deterministic_()
tensorflow.FractionalAvgPool.Attrs	deterministic_(boolean deterministic_)
tensorflow.FractionalAvgPool.Attrs	Deterministic(boolean x) When set to True, a fixed pooling region will be used when iterating over a FractionalAvgPool node in the computation graph.
boolean	overlapping_()
tensorflow.FractionalAvgPool.Attrs	overlapping_(boolean overlapping_)
tensorflow.FractionalAvgPool.Attrs	Overlapping(boolean x) When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
tensorflow.FractionalAvgPool.Attrs	position(long position)
boolean	pseudo_random_()
tensorflow.FractionalAvgPool.Attrs	pseudo_random_(boolean pseudo_random_)
tensorflow.FractionalAvgPool.Attrs	PseudoRandom(boolean x) When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion.
long	seed_()
tensorflow.FractionalAvgPool.Attrs	seed_(long seed_)
tensorflow.FractionalAvgPool.Attrs	Seed(long x) If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
long	seed2_()
tensorflow.FractionalAvgPool.Attrs	seed2_(long seed2_)
tensorflow.FractionalAvgPool.Attrs	Seed2(long x) An second seed to avoid seed collision.

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

Attrs

public Attrs()

Default native constructor.

Attrs

public Attrs(long size)

Native array allocator. Access with Pointer.position(long).

Attrs

public Attrs(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Method Detail

position

public tensorflow.FractionalAvgPool.Attrs position(long position)

Overrides:

position in class Pointer

PseudoRandom

@ByVal
public tensorflow.FractionalAvgPool.Attrs PseudoRandom(@Cast(value="bool")
                                                               boolean 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](http://arxiv.org/abs/1412.6071) for difference between pseudorandom and random. Defaults to false

Overlapping

@ByVal
public tensorflow.FractionalAvgPool.Attrs Overlapping(@Cast(value="bool")
                                                              boolean 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

Deterministic

@ByVal
public tensorflow.FractionalAvgPool.Attrs Deterministic(@Cast(value="bool")
                                                                boolean 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

Seed

@ByVal
public tensorflow.FractionalAvgPool.Attrs Seed(@Cast(value="tensorflow::int64")
                                                       long 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

@ByVal
public tensorflow.FractionalAvgPool.Attrs Seed2(@Cast(value="tensorflow::int64")
                                                        long x)

An second seed to avoid seed collision. Defaults to 0

pseudo_random_

@Cast(value="bool")
public boolean pseudo_random_()

pseudo_random_

public tensorflow.FractionalAvgPool.Attrs pseudo_random_(boolean pseudo_random_)

overlapping_

@Cast(value="bool")
public boolean overlapping_()

overlapping_

public tensorflow.FractionalAvgPool.Attrs overlapping_(boolean overlapping_)

deterministic_

@Cast(value="bool")
public boolean deterministic_()

deterministic_

public tensorflow.FractionalAvgPool.Attrs deterministic_(boolean deterministic_)

seed_

@Cast(value="tensorflow::int64")
public long seed_()

seed_

public tensorflow.FractionalAvgPool.Attrs seed_(long seed_)

seed2_

@Cast(value="tensorflow::int64")
public long seed2_()

seed2_

public tensorflow.FractionalAvgPool.Attrs seed2_(long seed2_)