FakeQuantWithMinMaxVarsGradient

public final class FakeQuantWithMinMaxVarsGradient

Compute gradients for a FakeQuantWithMinMaxVars operation.

Nested Classes

class

FakeQuantWithMinMaxVarsGradient.Options

Optional attributes for FakeQuantWithMinMaxVarsGradient

Constants

String

OP_NAME

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

Public Methods

Output<TFloat32>	backpropWrtMax() Backpropagated gradients w.r.t.
Output<TFloat32>	backpropWrtMin() Backpropagated gradients w.r.t.
Output<TFloat32>	backpropsWrtInput() Backpropagated gradients w.r.t.
static FakeQuantWithMinMaxVarsGradient	create(Scope scope, Operand<TFloat32> gradients, Operand<TFloat32> inputs, Operand<TFloat32> min, Operand<TFloat32> max, Options... options) Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsGradient operation.
static FakeQuantWithMinMaxVarsGradient.Options	narrowRange(Boolean narrowRange)
static FakeQuantWithMinMaxVarsGradient.Options	numBits(Long numBits)

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.

Constants

public static final String OP_NAME

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

Constant Value: "FakeQuantWithMinMaxVarsGradient"

Public Methods

public Output<TFloat32> backpropWrtMax ()

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

public Output<TFloat32> backpropWrtMin ()

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

public Output<TFloat32> backpropsWrtInput ()

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

public static FakeQuantWithMinMaxVarsGradient create (Scope scope, Operand<TFloat32> gradients, Operand<TFloat32> inputs, Operand<TFloat32> min, Operand<TFloat32> max, 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.
options	carries optional attributes values

Returns

• a new instance of FakeQuantWithMinMaxVarsGradient

public static FakeQuantWithMinMaxVarsGradient.Options narrowRange (Boolean narrowRange)

Parameters

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

public static FakeQuantWithMinMaxVarsGradient.Options numBits (Long numBits)

Parameters

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