QuantizedRelu

public final class QuantizedRelu

Computes Quantized Rectified Linear: `max(features, 0)`

Constants

String

OP_NAME

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

Public Methods

Output<U>	activations() Has the same output shape as "features".
static <U extends TType> QuantizedRelu<U>	create(Scope scope, Operand<? extends TType> features, Operand<TFloat32> minFeatures, Operand<TFloat32> maxFeatures, Class<U> outType) Factory method to create a class wrapping a new QuantizedRelu operation.
Output<TFloat32>	maxActivations() The float value that the highest quantized value represents.
Output<TFloat32>	minActivations() The float value that the lowest quantized value represents.

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: "QuantizedRelu"

Public Methods

public Output<U> activations ()

Has the same output shape as "features".

public static QuantizedRelu<U> create (Scope scope, Operand<? extends TType> features, Operand<TFloat32> minFeatures, Operand<TFloat32> maxFeatures, Class<U> outType)

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

Parameters

scope	current scope
minFeatures	The float value that the lowest quantized value represents.
maxFeatures	The float value that the highest quantized value represents.

Returns

• a new instance of QuantizedRelu

public Output<TFloat32> maxActivations ()

The float value that the highest quantized value represents.

public Output<TFloat32> minActivations ()

The float value that the lowest quantized value represents.