org.bytedeco.javacpp

Class tensorflow.FakeQuantWithMinMaxArgsGradient

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.FakeQuantWithMinMaxArgsGradient

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Compute gradients for a FakeQuantWithMinMaxArgs operation. Arguments: * scope: A Scope object * gradients: Backpropagated gradients above the FakeQuantWithMinMaxArgs operation. * inputs: Values passed as inputs to the FakeQuantWithMinMaxArgs operation. Returns: * Output: Backpropagated gradients below the FakeQuantWithMinMaxArgs operation: gradients * (inputs >= min && inputs <= max).

Nested Class Summary

Nested Classes

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

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
FakeQuantWithMinMaxArgsGradient(Pointer p) Pointer cast constructor.
FakeQuantWithMinMaxArgsGradient(tensorflow.Scope scope, tensorflow.Input gradients, tensorflow.Input inputs)
FakeQuantWithMinMaxArgsGradient(tensorflow.Scope scope, tensorflow.Input gradients, tensorflow.Input inputs, tensorflow.FakeQuantWithMinMaxArgsGradient.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Output	backprops()
tensorflow.FakeQuantWithMinMaxArgsGradient	backprops(tensorflow.Output backprops)
static tensorflow.FakeQuantWithMinMaxArgsGradient.Attrs	Max(float x)
static tensorflow.FakeQuantWithMinMaxArgsGradient.Attrs	Min(float x)
static tensorflow.FakeQuantWithMinMaxArgsGradient.Attrs	NarrowRange(boolean x)
tensorflow.Node	node()
static tensorflow.FakeQuantWithMinMaxArgsGradient.Attrs	NumBits(long x)
tensorflow.Operation	operation()
tensorflow.FakeQuantWithMinMaxArgsGradient	operation(tensorflow.Operation operation)

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

FakeQuantWithMinMaxArgsGradient

public FakeQuantWithMinMaxArgsGradient(Pointer p)

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

FakeQuantWithMinMaxArgsGradient

public FakeQuantWithMinMaxArgsGradient(@Const @ByRef
                                       tensorflow.Scope scope,
                                       @ByVal
                                       tensorflow.Input gradients,
                                       @ByVal
                                       tensorflow.Input inputs)

FakeQuantWithMinMaxArgsGradient

public FakeQuantWithMinMaxArgsGradient(@Const @ByRef
                                       tensorflow.Scope scope,
                                       @ByVal
                                       tensorflow.Input gradients,
                                       @ByVal
                                       tensorflow.Input inputs,
                                       @Const @ByRef
                                       tensorflow.FakeQuantWithMinMaxArgsGradient.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

Min

@ByVal
public static tensorflow.FakeQuantWithMinMaxArgsGradient.Attrs Min(float x)

Max

@ByVal
public static tensorflow.FakeQuantWithMinMaxArgsGradient.Attrs Max(float x)

NumBits

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

NarrowRange

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.FakeQuantWithMinMaxArgsGradient operation(tensorflow.Operation operation)

backprops

@ByRef
public tensorflow.Output backprops()

backprops

public tensorflow.FakeQuantWithMinMaxArgsGradient backprops(tensorflow.Output backprops)