tf.keras.ops.hard_silu

Hard SiLU activation function, also known as Hard Swish.

tf.keras.ops.hard_silu(
    x
)

It is defined as:

• 0 if if x < -3
• x if x > 3
• x * (x + 3) / 6 if -3 <= x <= 3

It's a faster, piecewise linear approximation of the silu activation.

Example:

x = keras.ops.convert_to_tensor([-3.0, -1.0, 0.0, 1.0, 3.0])
keras.ops.hard_silu(x)
array([-0.0, -0.3333333, 0.0, 0.6666667, 3.0], shape=(5,), dtype=float32)