View source on GitHub
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Hard shrink function.
tfa.activations.hardshrink(
x: tfa.types.TensorLike,
lower: tfa.types.Number = -0.5,
upper: tfa.types.Number = 0.5
) -> tf.Tensor
Computes hard shrink function:
\[ \mathrm{hardshrink}(x) = \begin{cases} x & \text{if } x < \text{lower} \\ x & \text{if } x > \text{upper} \\ 0 & \text{otherwise} \end{cases}. \]
Usage:
x = tf.constant([1.0, 0.0, 1.0])tfa.activations.hardshrink(x)<tf.Tensor: shape=(3,), dtype=float32, numpy=array([1., 0., 1.], dtype=float32)>
Args | |
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x
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A Tensor. Must be one of the following types:
bfloat16, float16, float32, float64.
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lower
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float, lower bound for setting values to zeros.
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upper
|
float, upper bound for setting values to zeros.
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Returns | |
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A Tensor. Has the same type as x.
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