Class FakeQuantWithMinMaxVarsGradient

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient

All Implemented Interfaces:

Op

@Operator(group="quantization")
public final class FakeQuantWithMinMaxVarsGradient
extends RawOp

Compute gradients for a FakeQuantWithMinMaxVars operation.

Nested Class Summary

Nested Classes

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

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
FakeQuantWithMinMaxVarsGradient(Operation operation)

Method Summary

Modifier and Type	Method	Description
Output<TFloat32>	backpropsWrtInput()	Gets backpropsWrtInput.
Output<TFloat32>	backpropWrtMax()	Gets backpropWrtMax.
Output<TFloat32>	backpropWrtMin()	Gets backpropWrtMin.
static FakeQuantWithMinMaxVarsGradient	create(Scope scope, Operand<TFloat32> gradients, Operand<TFloat32> inputs, Operand<TFloat32> min, Operand<TFloat32> max, FakeQuantWithMinMaxVarsGradient.Options... options)	Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsGradient operation.
static FakeQuantWithMinMaxVarsGradient.Options	narrowRange(Boolean narrowRange)	Sets the narrowRange option.
static FakeQuantWithMinMaxVarsGradient.Options	numBits(Long numBits)	Sets the numBits 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

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

FakeQuantWithMinMaxVarsGradient

public FakeQuantWithMinMaxVarsGradient(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static FakeQuantWithMinMaxVarsGradient create(Scope scope,
 Operand<TFloat32> gradients,
 Operand<TFloat32> inputs,
 Operand<TFloat32> min,
 Operand<TFloat32> max,
 FakeQuantWithMinMaxVarsGradient.Options... options)

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

Parameters:

scope - current scope

gradients - Backpropagated gradients above the FakeQuantWithMinMaxVars operation.

inputs - Values passed as inputs to the FakeQuantWithMinMaxVars operation. min, max: Quantization interval, scalar floats.

min - The min value

max - The max value

options - carries optional attribute values

Returns:

a new instance of FakeQuantWithMinMaxVarsGradient

numBits

public static FakeQuantWithMinMaxVarsGradient.Options numBits(Long numBits)

Sets the numBits option.

Parameters:

numBits - The bitwidth of the quantization; between 2 and 8, inclusive.

Returns:

this Options instance.

narrowRange

public static FakeQuantWithMinMaxVarsGradient.Options narrowRange(Boolean narrowRange)

Sets the narrowRange option.

Parameters:

narrowRange - Whether to quantize into 2^num_bits - 1 distinct values.

Returns:

this Options instance.

backpropsWrtInput

public Output<TFloat32> backpropsWrtInput()

Gets backpropsWrtInput. Backpropagated gradients w.r.t. inputs: gradients * (inputs >= min && inputs <= max).

Returns:

backpropsWrtInput.

backpropWrtMin

public Output<TFloat32> backpropWrtMin()

Gets backpropWrtMin. Backpropagated gradients w.r.t. min parameter: sum(gradients * (inputs < min)).

Returns:

backpropWrtMin.

backpropWrtMax

public Output<TFloat32> backpropWrtMax()

Gets backpropWrtMax. Backpropagated gradients w.r.t. max parameter: sum(gradients * (inputs > max)).

Returns:

backpropWrtMax.