Class QuantizeAndDequantize<T extends TNumber>

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.quantization.QuantizeAndDequantize<T>

All Implemented Interfaces:

Shaped, Op, Operand<T>

@Operator(group="quantization")
public final class QuantizeAndDequantize<T extends TNumber>
extends RawOp
implements Operand<T>

Quantizes then dequantizes a tensor. This is almost identical to QuantizeAndDequantizeV2, except that num_bits is a tensor, so its value can change during training.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	QuantizeAndDequantize.Inputs<T extends TNumber>
static class	QuantizeAndDequantize.Options	Optional attributes for QuantizeAndDequantize

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OP_NAME	The name of this op, as known by TensorFlow core engine

Fields inherited from class RawOp

operation

Constructor Summary

Constructors

Constructor	Description
QuantizeAndDequantize(Operation operation)

Method Summary

Modifier and Type	Method	Description
Output<T>	asOutput()	Returns the symbolic handle of the tensor.
static QuantizeAndDequantize.Options	axis(Long axis)	Sets the axis option.
static <T extends TNumber> QuantizeAndDequantize<T>	create(Scope scope, Operand<T> input, Operand<T> inputMin, Operand<T> inputMax, Operand<TInt32> numBits, QuantizeAndDequantize.Options... options)	Factory method to create a class wrapping a new QuantizeAndDequantizeV3 operation.
static QuantizeAndDequantize.Options	narrowRange(Boolean narrowRange)	Sets the narrowRange option.
Output<T>	output()	Gets output.
static QuantizeAndDequantize.Options	rangeGiven(Boolean rangeGiven)	Sets the rangeGiven option.
static QuantizeAndDequantize.Options	signedInput(Boolean signedInput)	Sets the signedInput option.

Methods inherited from class RawOp

equals, hashCode, op, toString

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface Op

env, op

Methods inherited from interface Operand

asTensor, shape, type

Methods inherited from interface Shaped

rank, size

Field Details

OP_NAME

public static final String OP_NAME

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

See Also:

• Constant Field Values

Constructor Details

QuantizeAndDequantize

public QuantizeAndDequantize(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static <T extends TNumber>
QuantizeAndDequantize<T> create(Scope scope,
 Operand<T> input,
 Operand<T> inputMin,
 Operand<T> inputMax,
 Operand<TInt32> numBits,
 QuantizeAndDequantize.Options... options)

Factory method to create a class wrapping a new QuantizeAndDequantizeV3 operation.

Type Parameters:

T - data type for QuantizeAndDequantizeV3 output and operands

Parameters:

scope - current scope

input - The input value

inputMin - The inputMin value

inputMax - The inputMax value

numBits - The numBits value

options - carries optional attribute values

Returns:

a new instance of QuantizeAndDequantize

signedInput

public static QuantizeAndDequantize.Options signedInput(Boolean signedInput)

Sets the signedInput option.

Parameters:

signedInput - the signedInput option

Returns:

this Options instance.

rangeGiven

public static QuantizeAndDequantize.Options rangeGiven(Boolean rangeGiven)

Sets the rangeGiven option.

Parameters:

rangeGiven - the rangeGiven option

Returns:

this Options instance.

narrowRange

public static QuantizeAndDequantize.Options narrowRange(Boolean narrowRange)

Sets the narrowRange option.

Parameters:

narrowRange - the narrowRange option

Returns:

this Options instance.

axis

public static QuantizeAndDequantize.Options axis(Long axis)

Sets the axis option.

Parameters:

axis - the axis option

Returns:

this Options instance.

output

public Output<T> output()

Gets output.

Returns:

output.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

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.

Specified by:

asOutput in interface Operand<T extends TNumber>

See Also:

• OperationBuilder.addInput(Output)