org.bytedeco.javacpp

Class tensorflow.FractionalAvgPool

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.FractionalAvgPool

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.FractionalAvgPool
extends Pointer

Performs fractional average pooling on the input. Fractional average pooling is similar to Fractional max pooling in the pooling region generation step. The only difference is that after pooling regions are generated, a mean operation is performed instead of a max operation in each pooling region. Arguments: * scope: A Scope object * value: 4-D with shape [batch, height, width, channels]. * pooling_ratio: Pooling ratio for each dimension of value, currently only supports row and col dimension and should be >= 1.0. For example, a valid pooling ratio looks like [1.0, 1.44, 1.73, 1.0]. The first and last elements must be 1.0 because we don't allow pooling on batch and channels dimensions. 1.44 and 1.73 are pooling ratio on height and width dimensions respectively. Optional attributes (see Attrs): * pseudo_random: 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. * overlapping: 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. * deterministic: 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. * seed: 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. * seed2: An second seed to avoid seed collision. Returns: * Output output: output tensor after fractional avg pooling. * Output row_pooling_sequence: row pooling sequence, needed to calculate gradient. * Output col_pooling_sequence: column pooling sequence, needed to calculate gradient.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.FractionalAvgPool.Attrs Optional attribute setters for FractionalAvgPool

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
FractionalAvgPool(Pointer p) Pointer cast constructor.
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, float... pooling_ratio)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, float[] pooling_ratio, tensorflow.FractionalAvgPool.Attrs attrs)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, FloatBuffer pooling_ratio)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, FloatBuffer pooling_ratio, tensorflow.FractionalAvgPool.Attrs attrs)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, FloatPointer pooling_ratio)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, FloatPointer pooling_ratio, tensorflow.FractionalAvgPool.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	col_pooling_sequence()
tensorflow.FractionalAvgPool	col_pooling_sequence(tensorflow.Output col_pooling_sequence)
static tensorflow.FractionalAvgPool.Attrs	Deterministic(boolean x)
tensorflow.Operation	operation()
tensorflow.FractionalAvgPool	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.FractionalAvgPool	output(tensorflow.Output output)
static tensorflow.FractionalAvgPool.Attrs	Overlapping(boolean x)
static tensorflow.FractionalAvgPool.Attrs	PseudoRandom(boolean x)
tensorflow.Output	row_pooling_sequence()
tensorflow.FractionalAvgPool	row_pooling_sequence(tensorflow.Output row_pooling_sequence)
static tensorflow.FractionalAvgPool.Attrs	Seed(long x)
static tensorflow.FractionalAvgPool.Attrs	Seed2(long x)

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, 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

FractionalAvgPool

public FractionalAvgPool(Pointer p)

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

FractionalAvgPool

public FractionalAvgPool(@Const @ByRef
                         tensorflow.Scope scope,
                         @ByVal
                         tensorflow.Input value,
                         @tensorflow.ArraySlice
                         FloatPointer pooling_ratio)

FractionalAvgPool

public FractionalAvgPool(@Const @ByRef
                         tensorflow.Scope scope,
                         @ByVal
                         tensorflow.Input value,
                         @tensorflow.ArraySlice
                         FloatBuffer pooling_ratio)

FractionalAvgPool

public FractionalAvgPool(@Const @ByRef
                         tensorflow.Scope scope,
                         @ByVal
                         tensorflow.Input value,
                         @tensorflow.ArraySlice
                         float... pooling_ratio)

FractionalAvgPool

public FractionalAvgPool(@Const @ByRef
                         tensorflow.Scope scope,
                         @ByVal
                         tensorflow.Input value,
                         @tensorflow.ArraySlice
                         FloatPointer pooling_ratio,
                         @Const @ByRef
                         tensorflow.FractionalAvgPool.Attrs attrs)

FractionalAvgPool

public FractionalAvgPool(@Const @ByRef
                         tensorflow.Scope scope,
                         @ByVal
                         tensorflow.Input value,
                         @tensorflow.ArraySlice
                         FloatBuffer pooling_ratio,
                         @Const @ByRef
                         tensorflow.FractionalAvgPool.Attrs attrs)

FractionalAvgPool

public FractionalAvgPool(@Const @ByRef
                         tensorflow.Scope scope,
                         @ByVal
                         tensorflow.Input value,
                         @tensorflow.ArraySlice
                         float[] pooling_ratio,
                         @Const @ByRef
                         tensorflow.FractionalAvgPool.Attrs attrs)

Method Detail

PseudoRandom

@ByVal
public static tensorflow.FractionalAvgPool.Attrs PseudoRandom(@Cast(value="bool")
                                                                      boolean x)

Overlapping

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

Deterministic

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

Seed

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

Seed2

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.FractionalAvgPool operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.FractionalAvgPool output(tensorflow.Output output)

row_pooling_sequence

@ByRef
public tensorflow.Output row_pooling_sequence()

row_pooling_sequence

public tensorflow.FractionalAvgPool row_pooling_sequence(tensorflow.Output row_pooling_sequence)

col_pooling_sequence

@ByRef
public tensorflow.Output col_pooling_sequence()

col_pooling_sequence

public tensorflow.FractionalAvgPool col_pooling_sequence(tensorflow.Output col_pooling_sequence)