cosh:
    description: |
        Computes hyperbolic cosine of input element-wise.

        .. math::
        
            out_i = \cosh(input_i)
    
        Args:
            input (Tensor): The input tensor of hyperbolic cosine function, its data type
                must be float16, float32, float64, complex64 or complex128.
    
        Returns:
            Tensor, has the same shape as `input`.
    
        Raises:
            TypeError: If the dtype of `input` is not one of the following types:
                           float16, float32, float64, complex64, complex128.
            TypeError: If `input` is not a Tensor.
    
        Supported Platforms:
            ``Ascend`` ``GPU`` ``CPU``
    
        Examples:
            >>> import mindspore
            >>> import numpy as np
            >>> from mindspore import Tensor, ops
            >>> x = Tensor(np.array([0.24, 0.83, 0.31, 0.09]), mindspore.float32)
            >>> output = ops.cosh(x)
            >>> print(output)
            [1.0289385 1.364684 1.048436 1.0040528]
            >>> x = Tensor(2.1, mindspore.float32)
            >>> output = ops.cosh(x)
            >>> print(output)
            4.144313