QuantizedReluX

public final class QuantizedReluX

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

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

Output<U>	activations() Has the same output shape as "features".
static <U extends TType> QuantizedReluX<U>	create(Scope scope, Operand<? extends TType> features, Operand<TFloat32> maxValue, Operand<TFloat32> minFeatures, Operand<TFloat32> maxFeatures, Class<U> outType) Factory method to create a class wrapping a new QuantizedReluX 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.

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

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

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

Constant Value: "QuantizedReluX"

Has the same output shape as "features".

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

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

The float value that the highest quantized value represents.

The float value that the lowest quantized value represents.