org.bytedeco.javacpp

Class tensorflow.QuantizedInstanceNorm.Attrs

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.QuantizedInstanceNorm.Attrs

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow.QuantizedInstanceNorm

public static class tensorflow.QuantizedInstanceNorm.Attrs
extends Pointer

Optional attribute setters for QuantizedInstanceNorm

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
float	given_y_max_()
tensorflow.QuantizedInstanceNorm.Attrs	given_y_max_(float given_y_max_)
float	given_y_min_()
tensorflow.QuantizedInstanceNorm.Attrs	given_y_min_(float given_y_min_)
tensorflow.QuantizedInstanceNorm.Attrs	GivenYMax(float x) Output in y_max if output_range_given is True.
tensorflow.QuantizedInstanceNorm.Attrs	GivenYMin(float x) Output in y_min if output_range_given is True.
float	min_separation_()
tensorflow.QuantizedInstanceNorm.Attrs	min_separation_(float min_separation_)
tensorflow.QuantizedInstanceNorm.Attrs	MinSeparation(float x) Minimum value of y_max - y_min Defaults to 0.001
boolean	output_range_given_()
tensorflow.QuantizedInstanceNorm.Attrs	output_range_given_(boolean output_range_given_)
tensorflow.QuantizedInstanceNorm.Attrs	OutputRangeGiven(boolean x) If True, given_y_min and given_y_min and given_y_max are used as the output range.
tensorflow.QuantizedInstanceNorm.Attrs	position(long position)
float	variance_epsilon_()
tensorflow.QuantizedInstanceNorm.Attrs	variance_epsilon_(float variance_epsilon_)
tensorflow.QuantizedInstanceNorm.Attrs	VarianceEpsilon(float x) A small float number to avoid dividing by 0.

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.QuantizedInstanceNorm.Attrs position(long position)

Overrides:

position in class Pointer

OutputRangeGiven

@ByVal
public tensorflow.QuantizedInstanceNorm.Attrs OutputRangeGiven(@Cast(value="bool")
                                                                       boolean x)

If True, given_y_min and given_y_min and given_y_max are used as the output range. Otherwise, the implementation computes the output range. Defaults to false

GivenYMin

@ByVal
public tensorflow.QuantizedInstanceNorm.Attrs GivenYMin(float x)

Output in y_min if output_range_given is True. Defaults to 0

GivenYMax

@ByVal
public tensorflow.QuantizedInstanceNorm.Attrs GivenYMax(float x)

Output in y_max if output_range_given is True. Defaults to 0

VarianceEpsilon

@ByVal
public tensorflow.QuantizedInstanceNorm.Attrs VarianceEpsilon(float x)

A small float number to avoid dividing by 0. Defaults to 1e-05

MinSeparation

@ByVal
public tensorflow.QuantizedInstanceNorm.Attrs MinSeparation(float x)

Minimum value of y_max - y_min Defaults to 0.001

output_range_given_

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

output_range_given_

public tensorflow.QuantizedInstanceNorm.Attrs output_range_given_(boolean output_range_given_)

given_y_min_

public float given_y_min_()

given_y_min_

public tensorflow.QuantizedInstanceNorm.Attrs given_y_min_(float given_y_min_)

given_y_max_

public float given_y_max_()

given_y_max_

public tensorflow.QuantizedInstanceNorm.Attrs given_y_max_(float given_y_max_)

variance_epsilon_

public float variance_epsilon_()

variance_epsilon_

public tensorflow.QuantizedInstanceNorm.Attrs variance_epsilon_(float variance_epsilon_)

min_separation_

public float min_separation_()

min_separation_

public tensorflow.QuantizedInstanceNorm.Attrs min_separation_(float min_separation_)