hard_sigmoid¶
dragon.vm.tensorflow.keras.activations.hard_sigmoid(
x,
**kwargs
)[source]¶Apply the hard sigmoid function to input.
The HardSigmoid function is defined as:
\[\text{HardSigmoid}(x) = \max(0, \min(1, 0.2 * x + 0.5)) \]Examples:
x = tf.constant([-2.5, -1.0, 0.0, 1.0, 2.5]) print(tf.keras.activations.hard_sigmoid(x, inplace=False))
- Parameters:
- x (dragon.Tensor) – The input tensor.
- Returns:
dragon.Tensor – The output tensor.