QuantizeAndDequantizeV4

public final class QuantizeAndDequantizeV4

Returns the gradient of `quantization.QuantizeAndDequantizeV4`.

This is almost identical to QuantizeAndDequantizeV2, except that it returns a gradient of 1 for inputs that are within the quantization range, or 0 otherwise.

Nested Classes

class QuantizeAndDequantizeV4.Options Optional attributes for QuantizeAndDequantizeV4

Constants

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

Public Methods

Output<T>	asOutput() Returns the symbolic handle of the tensor.
static QuantizeAndDequantizeV4.Options	axis(Long axis)
static <T extends TNumber> QuantizeAndDequantizeV4<T>	create(Scope scope, Operand<T> input, Operand<T> inputMin, Operand<T> inputMax, Options... options) Factory method to create a class wrapping a new QuantizeAndDequantizeV4 operation.
static QuantizeAndDequantizeV4.Options	narrowRange(Boolean narrowRange)
static QuantizeAndDequantizeV4.Options	numBits(Long numBits)
Output<T>	output()
static QuantizeAndDequantizeV4.Options	rangeGiven(Boolean rangeGiven)
static QuantizeAndDequantizeV4.Options	roundMode(String roundMode)
static QuantizeAndDequantizeV4.Options	signedInput(Boolean signedInput)

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<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	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<T>	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: "QuantizeAndDequantizeV4"

Public Methods

public Output<T> 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 static QuantizeAndDequantizeV4.Options axis (Long axis)

public static QuantizeAndDequantizeV4<T> create (Scope scope, Operand<T> input, Operand<T> inputMin, Operand<T> inputMax, Options... options)

Factory method to create a class wrapping a new QuantizeAndDequantizeV4 operation.

Parameters

scope	current scope
options	carries optional attributes values

QuantizeAndDequantizeV4

Nested Classes

Constants

Public Methods

Inherited Methods

Constants

public static final String OP_NAME

Public Methods

public Output<T> asOutput ()

public static QuantizeAndDequantizeV4.Options axis (Long axis)

public static QuantizeAndDequantizeV4<T> create (Scope scope, Operand<T> input, Operand<T> inputMin, Operand<T> inputMax, Options... options)

Parameters

Returns

public static QuantizeAndDequantizeV4.Options narrowRange (Boolean narrowRange)

public static QuantizeAndDequantizeV4.Options numBits (Long numBits)

public Output<T> output ()

public static QuantizeAndDequantizeV4.Options rangeGiven (Boolean rangeGiven)

public static QuantizeAndDequantizeV4.Options roundMode (String roundMode)

public static QuantizeAndDequantizeV4.Options signedInput (Boolean signedInput)