org.bytedeco.javacpp

Class tensorflow.QuantizedInstanceNorm

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.QuantizedInstanceNorm

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Quantized Instance normalization. Arguments: * scope: A Scope object * x: A 4D input Tensor. * x_min: The value represented by the lowest quantized input. * x_max: The value represented by the highest quantized input. Optional attributes (see Attrs): * output_range_given: 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. * given_y_min: Output in y_min if output_range_given is True. * given_y_max: Output in y_max if output_range_given is True. * variance_epsilon: A small float number to avoid dividing by 0. * min_separation: Minimum value of y_max - y_min Returns: * Output y: A 4D Tensor. * Output y_min: The value represented by the lowest quantized output. * Output y_max: The value represented by the highest quantized output.

Nested Class Summary

Nested Classes

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

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
QuantizedInstanceNorm(Pointer p) Pointer cast constructor.
QuantizedInstanceNorm(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input x_min, tensorflow.Input x_max)
QuantizedInstanceNorm(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input x_min, tensorflow.Input x_max, tensorflow.QuantizedInstanceNorm.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static tensorflow.QuantizedInstanceNorm.Attrs	GivenYMax(float x)
static tensorflow.QuantizedInstanceNorm.Attrs	GivenYMin(float x)
static tensorflow.QuantizedInstanceNorm.Attrs	MinSeparation(float x)
tensorflow.Operation	operation()
tensorflow.QuantizedInstanceNorm	operation(tensorflow.Operation operation)
static tensorflow.QuantizedInstanceNorm.Attrs	OutputRangeGiven(boolean x)
static tensorflow.QuantizedInstanceNorm.Attrs	VarianceEpsilon(float x)
tensorflow.Output	y_max()
tensorflow.QuantizedInstanceNorm	y_max(tensorflow.Output y_max)
tensorflow.Output	y_min()
tensorflow.QuantizedInstanceNorm	y_min(tensorflow.Output y_min)
tensorflow.Output	y()
tensorflow.QuantizedInstanceNorm	y(tensorflow.Output y)

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

QuantizedInstanceNorm

public QuantizedInstanceNorm(Pointer p)

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

QuantizedInstanceNorm

public QuantizedInstanceNorm(@Const @ByRef
                             tensorflow.Scope scope,
                             @ByVal
                             tensorflow.Input x,
                             @ByVal
                             tensorflow.Input x_min,
                             @ByVal
                             tensorflow.Input x_max)

QuantizedInstanceNorm

public QuantizedInstanceNorm(@Const @ByRef
                             tensorflow.Scope scope,
                             @ByVal
                             tensorflow.Input x,
                             @ByVal
                             tensorflow.Input x_min,
                             @ByVal
                             tensorflow.Input x_max,
                             @Const @ByRef
                             tensorflow.QuantizedInstanceNorm.Attrs attrs)

Method Detail

OutputRangeGiven

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

GivenYMin

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

GivenYMax

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

VarianceEpsilon

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

MinSeparation

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.QuantizedInstanceNorm operation(tensorflow.Operation operation)

y

@ByRef
public tensorflow.Output y()

y

public tensorflow.QuantizedInstanceNorm y(tensorflow.Output y)

y_min

@ByRef
public tensorflow.Output y_min()

y_min

public tensorflow.QuantizedInstanceNorm y_min(tensorflow.Output y_min)

y_max

@ByRef
public tensorflow.Output y_max()

y_max

public tensorflow.QuantizedInstanceNorm y_max(tensorflow.Output y_max)