org.bytedeco.javacpp

Class tensorflow.FusedBatchNormV2.Attrs

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.FusedBatchNormV2.Attrs

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow.FusedBatchNormV2

public static class tensorflow.FusedBatchNormV2.Attrs
extends Pointer

Optional attribute setters for FusedBatchNormV2

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
BytePointer	data_format_()
tensorflow.FusedBatchNormV2.Attrs	data_format_(BytePointer data_format_)
tensorflow.FusedBatchNormV2.Attrs	DataFormat(BytePointer x) The data format for x and y.
tensorflow.FusedBatchNormV2.Attrs	DataFormat(String x)
float	epsilon_()
tensorflow.FusedBatchNormV2.Attrs	epsilon_(float epsilon_)
tensorflow.FusedBatchNormV2.Attrs	Epsilon(float x) A small float number added to the variance of x.
boolean	is_training_()
tensorflow.FusedBatchNormV2.Attrs	is_training_(boolean is_training_)
tensorflow.FusedBatchNormV2.Attrs	IsTraining(boolean x) A bool value to indicate the operation is for training (default) or inference.
tensorflow.FusedBatchNormV2.Attrs	position(long position)

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.FusedBatchNormV2.Attrs position(long position)

Overrides:

position in class Pointer

Epsilon

@ByVal
public tensorflow.FusedBatchNormV2.Attrs Epsilon(float x)

A small float number added to the variance of x. Defaults to 0.0001

DataFormat

@ByVal
public tensorflow.FusedBatchNormV2.Attrs DataFormat(@tensorflow.StringPiece
                                                            BytePointer x)

The data format for x and y. Either "NHWC" (default) or "NCHW". Defaults to "NHWC"

DataFormat

@ByVal
public tensorflow.FusedBatchNormV2.Attrs DataFormat(@tensorflow.StringPiece
                                                            String x)

IsTraining

@ByVal
public tensorflow.FusedBatchNormV2.Attrs IsTraining(@Cast(value="bool")
                                                            boolean x)

A bool value to indicate the operation is for training (default) or inference. Defaults to true

epsilon_

public float epsilon_()

epsilon_

public tensorflow.FusedBatchNormV2.Attrs epsilon_(float epsilon_)

data_format_

@tensorflow.StringPiece
public BytePointer data_format_()

data_format_

public tensorflow.FusedBatchNormV2.Attrs data_format_(BytePointer data_format_)

is_training_

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

is_training_

public tensorflow.FusedBatchNormV2.Attrs is_training_(boolean is_training_)