zeros:
    description: |
        Creates a tensor filled with 0 with shape described by `size` and fills it with value 0 in type of `dtype`.

        .. warning::
            For argument `size`, Tensor type input will be deprecated in the future version.

        Args:
            size (Union[tuple[int], list[int], int, Tensor]): The specified shape of output tensor. Only positive integer or
                tuple or Tensor containing positive integers are allowed. If it is a Tensor,
                it must be a 0-D or 1-D Tensor with int32 or int64 dtypes.
            dtype (:class:`mindspore.dtype`, optional): The specified type of output tensor. If `dtype` is ``None`` ,
                mindspore.float32 will be used. Default: ``None`` .

        Returns:
            Tensor, whose dtype and size are defined by input.

        Raises:
            TypeError: If `size` is neither an int nor an tuple/list/Tensor of int.

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

        Examples:
            >>> import mindspore
            >>> from mindspore import ops
            >>> output = ops.zeros((2, 2), mindspore.float32)
            >>> print(output)
            [[0. 0.]
             [0. 0.]]