keras/src/activations/activations.py/silu
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)