code: def silu(x):
      """Swish (or Silu) activation function.
  
      It is defined as: `swish(x) = x * sigmoid(x)`.
  
      The Swish (or Silu) activation function is a smooth,
      non-monotonic function that is unbounded above and
      bounded below.
  
      Args:
          x: Input tensor.
  
      Reference:
  
      - [Ramachandran et al., 2017](https://arxiv.org/abs/1710.05941)
      """
      return ops.silu(x)
  
imports: from keras import backend
  from keras import ops
  from keras.api_export import keras_export
label_desc: Use image node_id 9 for calling a global function with example usage: silu(x) and returns: ops