silu:
    description: |
        Computes Sigmoid Linear Unit of input element-wise. The SiLU function is defined as:

        .. math::

            \text{SiLU}(x) = x * \sigma(x),

        where :math:`x` is an element of the input, :math:`\sigma(x)` is Sigmoid function.

        .. math::

            \text{sigma}(x_i) = \frac{1}{1 + \exp(-x_i)},

        SiLU Function Graph:

        .. image:: ../images/SiLU.png
            :align: center

        Args:
            input (Tensor): `input` is :math:`x` in the preceding formula. Input with the data type
                float16 or float32.

        Returns:
            Tensor, with the same type and shape as the `input`.

        Raises:
            TypeError: If dtype of `input` is neither float16 nor float32.

        Supported Platforms:
            ``Ascend`` ``GPU`` ``CPU``

        Examples:
            >>> import mindspore
            >>> from mindspore import Tensor, ops
            >>> import numpy as np
            >>> input = Tensor(np.array([-1, 2, -3, 2, -1]), mindspore.float16)
            >>> output = ops.silu(input)
            >>> print(output)
            [-0.269  1.762  -0.1423  1.762  -0.269]