FakeQuantWithMinMaxArgsGradient

public final class FakeQuantWithMinMaxArgsGradient

Compute gradients for a FakeQuantWithMinMaxArgs operation.

Nested Classes

class

FakeQuantWithMinMaxArgsGradient.Options

Optional attributes for FakeQuantWithMinMaxArgsGradient

Constants

String

OP_NAME

The name of this op, as known by TensorFlow core engine

Public Methods

Output<TFloat32>	asOutput() Returns the symbolic handle of the tensor.
Output<TFloat32>	backprops() Backpropagated gradients below the FakeQuantWithMinMaxArgs operation: `gradients * (inputs >= min && inputs <= max)`.
static FakeQuantWithMinMaxArgsGradient	create(Scope scope, Operand<TFloat32> gradients, Operand<TFloat32> inputs, Options... options) Factory method to create a class wrapping a new FakeQuantWithMinMaxArgsGradient operation.
static FakeQuantWithMinMaxArgsGradient.Options	max(Float max)
static FakeQuantWithMinMaxArgsGradient.Options	min(Float min)
static FakeQuantWithMinMaxArgsGradient.Options	narrowRange(Boolean narrowRange)
static FakeQuantWithMinMaxArgsGradient.Options	numBits(Long numBits)

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

From interface org.tensorflow.Operand

abstract Output<TFloat32>	asOutput() Returns the symbolic handle of the tensor.
abstract TFloat32	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<TFloat32>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "FakeQuantWithMinMaxArgsGradient"

Public Methods

public Output<TFloat32> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public Output<TFloat32> backprops ()

Backpropagated gradients below the FakeQuantWithMinMaxArgs operation: `gradients * (inputs >= min && inputs <= max)`.

public static FakeQuantWithMinMaxArgsGradient create (Scope scope, Operand<TFloat32> gradients, Operand<TFloat32> inputs, Options... options)

Factory method to create a class wrapping a new FakeQuantWithMinMaxArgsGradient operation.

Parameters

scope	current scope
gradients	Backpropagated gradients above the FakeQuantWithMinMaxArgs operation.
inputs	Values passed as inputs to the FakeQuantWithMinMaxArgs operation.
options	carries optional attributes values

Returns

• a new instance of FakeQuantWithMinMaxArgsGradient

public static FakeQuantWithMinMaxArgsGradient.Options max (Float max)

public static FakeQuantWithMinMaxArgsGradient.Options min (Float min)

public static FakeQuantWithMinMaxArgsGradient.Options narrowRange (Boolean narrowRange)

public static FakeQuantWithMinMaxArgsGradient.Options numBits (Long numBits)