tfa.activations.softshrink

Soft shrink function.

tfa.activations.softshrink(
    x: tfa.types.TensorLike,
    lower: tfa.types.Number = -0.5,
    upper: tfa.types.Number = 0.5
) -> tf.Tensor

Computes soft shrink function:

$$\mathrm{softshrink}(x) = \begin{cases} x - \mathrm{lower} & \text{if } x < \mathrm{lower} \\ x - \mathrm{upper} & \text{if } x > \mathrm{upper} \\ 0 & \text{otherwise} \end{cases}.$$

Usage:

x = tf.constant([-1.0, 0.0, 1.0])
tfa.activations.softshrink(x)
<tf.Tensor: shape=(3,), dtype=float32, numpy=array([-0.5,  0. ,  0.5], dtype=float32)>

Args
x	A Tensor. Must be one of the following types: bfloat16, float16, float32, float64.
lower	float, lower bound for setting values to zeros.
upper	float, upper bound for setting values to zeros.

Returns
A Tensor. Has the same type as x.