Class HardSigmoid

java.lang.Object
org.tensorflow.framework.activations.AbstractActivation
org.tensorflow.framework.activations.HardSigmoid
All Implemented Interfaces:
Activation
public class HardSigmoid extends AbstractActivation
Hard sigmoid activation.

A faster approximation of the sigmoid activation.

Defined as:

  • if x < -2.5: return 0
  • if x > 2.5: return 1
  • if -2.5 <= x <= 2.5: return 0.2 * x + 0.5

For example: 

Operand<TFloat32> input = tf.constant(
         new float[] {-3.0f,-1.0f, 0.0f,1.0f,3.0f});
HardSigmoid<TFloat32> hardSigmoid = new HardSigmoid<>(tf);
Operand<TFloat32> result = hardSigmoid.call(input);
// result is [0.f , 0.3f, 0.5f, 0.7f, 1.f]

  • Field Details

  • Constructor Details

    • HardSigmoid

      public HardSigmoid()
      Creates Hard sigmoid activation.

    • HardSigmoid

      public HardSigmoid(Map<String,Object> config)
      Creates a new Exponential from a configuration Map
      Parameters:
      config - the configuration map, this class does not use any of the entries in the configuration map
      Throws:
      IllegalArgumentException - if the configuration contains unsupported keys for this class or if the value for the name key does not match the name for the Activation

  • Method Details

    • hardSigmoid

      public static <T extends TNumber> Operand<T> hardSigmoid(Ops tf, Operand<T> input)
      Computes the hard sigmoid activation function.

      Example Usage: 

      Operand<TFloat32> input = ...;
Operand<TFloat32> result = HardSigmoid.hardSigmoid(tf, input);
      Type Parameters:
      T - the data type for the input
      Parameters:
      tf - the TensorFlow Ops
      input - the input
      Returns:
      the exponential activation: exp(x).

    • getConfig

      public Map<String,Object> getConfig()
      Gets a configuration map
      Specified by:
      getConfig in class AbstractActivation
      Returns:
      the configuration map

    • call

      public <T extends TNumber> Operand<T> call(Ops tf, Operand<T> input)
      Gets the calculation operation for the activation.
      Type Parameters:
      T - the data type of the input and the result
      Parameters:
      tf - the TensorFlow Ops
      input - the input tensor
      Returns:
      The operand for the activation

    • getName

      public String getName()
      Get the name of the activation as known by the TensorFlow Engine
      Specified by:
      getName in class AbstractActivation
      Returns:
      the name of the activation as known by the TensorFlow Engine