Class QuantizedMatMulWithBiasAndRequantize<W extends TNumber>

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize<W>

All Implemented Interfaces:

Op

@Operator(group="quantization")
public final class QuantizedMatMulWithBiasAndRequantize<W extends TNumber>
extends RawOp

The QuantizedMatMulWithBiasAndRequantize operation

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	QuantizedMatMulWithBiasAndRequantize.Inputs
static class	QuantizedMatMulWithBiasAndRequantize.Options	Optional attributes for QuantizedMatMulWithBiasAndRequantize

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

Modifier and Type	Field	Description
protected final Operation	operation

Constructor Summary

Constructors

Constructor	Description
QuantizedMatMulWithBiasAndRequantize(Operation operation)

Method Summary

Modifier and Type	Method	Description
static <W extends TNumber> QuantizedMatMulWithBiasAndRequantize<W>	create(Scope scope, Operand<? extends TNumber> a, Operand<? extends TNumber> b, Operand<? extends TNumber> bias, Operand<TFloat32> minA, Operand<TFloat32> maxA, Operand<TFloat32> minB, Operand<TFloat32> maxB, Operand<TFloat32> minFreezedOutput, Operand<TFloat32> maxFreezedOutput, Class<W> Toutput, QuantizedMatMulWithBiasAndRequantize.Options... options)	Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndRequantize operation.
static QuantizedMatMulWithBiasAndRequantize.Options	inputQuantMode(String inputQuantMode)	Sets the inputQuantMode option.
Output<TFloat32>	maxOut()	Gets maxOut.
Output<TFloat32>	minOut()	Gets minOut.
Output<W>	out()	Gets out.
static QuantizedMatMulWithBiasAndRequantize.Options	transposeA(Boolean transposeA)	Sets the transposeA option.
static QuantizedMatMulWithBiasAndRequantize.Options	transposeB(Boolean transposeB)	Sets the transposeB option.

Methods inherited from class RawOp

equals, hashCode, op, toString

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

Methods inherited from class Object

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

Methods inherited from interface Op

env

Modifier and Type	Method	Description
default ExecutionEnvironment	env()	Return the execution environment this op was created in.

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

QuantizedMatMulWithBiasAndRequantize

public QuantizedMatMulWithBiasAndRequantize(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static <W extends TNumber>
QuantizedMatMulWithBiasAndRequantize<W> create(Scope scope,
 Operand<? extends TNumber> a,
 Operand<? extends TNumber> b,
 Operand<? extends TNumber> bias,
 Operand<TFloat32> minA,
 Operand<TFloat32> maxA,
 Operand<TFloat32> minB,
 Operand<TFloat32> maxB,
 Operand<TFloat32> minFreezedOutput,
 Operand<TFloat32> maxFreezedOutput,
 Class<W> Toutput,
 QuantizedMatMulWithBiasAndRequantize.Options... options)

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

Type Parameters:

W - data type for QuantizedMatMulWithBiasAndRequantize output and operands

Parameters:

scope - current scope

a - The a value

b - The b value

bias - The bias value

minA - The minA value

maxA - The maxA value

minB - The minB value

maxB - The maxB value

minFreezedOutput - The minFreezedOutput value

maxFreezedOutput - The maxFreezedOutput value

Toutput - The value of the Toutput attribute

options - carries optional attribute values

Returns:

a new instance of QuantizedMatMulWithBiasAndRequantize

transposeA

public static QuantizedMatMulWithBiasAndRequantize.Options transposeA(Boolean transposeA)

Sets the transposeA option.

Parameters:

transposeA - the transposeA option

Returns:

this Options instance.

transposeB

public static QuantizedMatMulWithBiasAndRequantize.Options transposeB(Boolean transposeB)

Sets the transposeB option.

Parameters:

transposeB - the transposeB option

Returns:

this Options instance.

inputQuantMode

public static QuantizedMatMulWithBiasAndRequantize.Options inputQuantMode(String inputQuantMode)

Sets the inputQuantMode option.

Parameters:

inputQuantMode - the inputQuantMode option

Returns:

this Options instance.

out

public Output<W> out()

Gets out.

Returns:

out.

minOut

public Output<TFloat32> minOut()

Gets minOut.

Returns:

minOut.

maxOut

public Output<TFloat32> maxOut()

Gets maxOut.

Returns:

maxOut.