org.tensorflow.op.quantization

Class FakeQuantWithMinMaxArgsGradient

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient

All Implemented Interfaces:

Op, Operand<Float>

@Operator(group="quantization")
public final class FakeQuantWithMinMaxArgsGradient
extends PrimitiveOp
implements Operand<Float>

Compute gradients for a FakeQuantWithMinMaxArgs operation.

Nested Class Summary

Nested Classes

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<Float>	asOutput() Returns the symbolic handle of a tensor.
Output<Float>	backprops() Backpropagated gradients below the FakeQuantWithMinMaxArgs operation: `gradients * (inputs >= min && inputs <= max)`.
static FakeQuantWithMinMaxArgsGradient	create(Scope scope, Operand<Float> gradients, Operand<Float> inputs, FakeQuantWithMinMaxArgsGradient.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)

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static FakeQuantWithMinMaxArgsGradient create(Scope scope,
                                                     Operand<Float> gradients,
                                                     Operand<Float> inputs,
                                                     FakeQuantWithMinMaxArgsGradient.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

min

public static FakeQuantWithMinMaxArgsGradient.Options min(Float min)

Parameters:

min -

max

public static FakeQuantWithMinMaxArgsGradient.Options max(Float max)

Parameters:

max -

numBits

public static FakeQuantWithMinMaxArgsGradient.Options numBits(Long numBits)

Parameters:

numBits -

narrowRange

public static FakeQuantWithMinMaxArgsGradient.Options narrowRange(Boolean narrowRange)

Parameters:

narrowRange -

backprops

public Output<Float> backprops()

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

asOutput

public Output<Float> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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<Float>

See Also:

OperationBuilder.addInput(Output)