tanh:
    description: |
        Computes hyperbolic tangent of input element-wise. The Tanh function is defined as:

        .. math::

            tanh(x_i) = \frac{\exp(x_i) - \exp(-x_i)}{\exp(x_i) + \exp(-x_i)} = \frac{\exp(2x_i) - 1}{\exp(2x_i) + 1},

        where :math:`x_i` is an element of the input Tensor.

        Tanh Activation Function Graph:

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

        Args:
            input (Tensor): Input of Tanh.

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

        Raises:
            TypeError: If `input` is not a Tensor.

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

        Examples:
            >>> import mindspore
            >>> import numpy as np
            >>> from mindspore import Tensor, ops
            >>> input = Tensor(np.array([1, 2, 3, 4, 5]), mindspore.float32)
            >>> output = ops.tanh(input)
            >>> print(output)
            [0.7615941 0.9640276 0.9950547 0.9993293 0.9999092]