sinc:
    description: |
        Computes the normalized sinc of input.

        .. math::
            out_i = \begin{cases} \frac{sin(\pi input_i)}{\pi input_i} & input_i\neq 0\\ 
            1 & input_i=0 \end{cases}

        Args:
            input (Tensor): The input Tensor.

        Returns:
            Tensor, has the same shape as the `input`. The dtype of output is float32 when dtype of `input` is in
            [int, bool]. Otherwise output has the same dtype 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([0.62, 0.28, 0.43, 0.62]), mindspore.float32)
            >>> output = ops.sinc(input)
            >>> print(output)
            [0.47735003 0.8759357  0.7224278  0.47735003]