non_zero:
    description: |
        Return a Tensor of the positions of all non-zero values.

        Args:
            input (Tensor): The input Tensor, its rank should be greater than or eaqual to 1.
    
        Returns:
            Tensor, a 2-D Tensor whose data type is int64, containing the positions of all non-zero values of the input.
    
        Raises:
            TypeError: If `input` is not Tensor.
            ValueError: If dim of `input` equals to 0.
    
        Supported Platforms:
            ``Ascend`` ``GPU`` ``CPU``
    
        Examples:
            >>> import mindspore
            >>> import numpy as np
            >>> from mindspore import Tensor
            >>> import mindspore.ops as ops
            >>> x = Tensor(np.array([[[1,  0], [-5, 0]]]), mindspore.int32)
            >>> output = ops.nonzero(x)
            >>> print(output)
            [[0 0 0]
             [0 1 0]]
            >>> x = Tensor(np.array([1, 0, 2, 0, 3]), mindspore.int32)
            >>> output = ops.nonzero(x)
            >>> print(output)
            [[0]
             [2]
             [4]]