public final class
QuantizedReluX
Computes Quantized Rectified Linear X: `min(max(features, 0), max_value)`
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".
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static <U extends TType> QuantizedReluX<U> | |
Output<TFloat32> |
maxActivations()
The float value that the highest quantized value represents.
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Output<TFloat32> |
minActivations()
The float value that the lowest quantized value represents.
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Inherited Methods
boolean |
equals(Object arg0)
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final Class<?> |
getClass()
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int |
hashCode()
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final void |
notify()
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final void |
notifyAll()
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String |
toString()
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final void |
wait(long arg0, int arg1)
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final void |
wait(long arg0)
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final void |
wait()
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abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
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abstract Operation |
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"QuantizedReluX"
Public Methods
public static 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.
Parameters
scope | current scope |
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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 QuantizedReluX
public Output<TFloat32> maxActivations ()
The float value that the highest quantized value represents.