code: def outputs_to_frontend_arrays(fn: Callable) -> Callable:
      @functools.wraps(fn)
      def _outputs_to_frontend_arrays_mxnet(*args, **kwargs):
          """Convert `ivy.Array` into `ndarray.NDArray` instances.
  
          Call the function, and then converts all `ivy.Array` instances
          in the function return into `ndarray.NDArray` instances.
          """
          # call unmodified function
          ret = fn(*args, **kwargs)
  
          # convert all arrays in the return to `frontend.Tensorflow.tensor` instances
          return ivy.nested_map(
              _ivy_array_to_mxnet, ret, include_derived={"tuple": True}
          )
  
      _outputs_to_frontend_arrays_mxnet.outputs_to_frontend_arrays = (
          True
      )
      return _outputs_to_frontend_arrays_mxnet
  
file_path: ivy/ivy/functional/frontends/mxnet/func_wrapper.py
imports: import functools
  import inspect
  from typing import Callable
  import ivy
  from ivy.functional.frontends.mxnet.numpy.ndarray import ndarray
label_desc: Use image node_id 7 for calling a global function with example usage: outputs_to_frontend_arrays(fn) and returns: _outputs_to_frontend_arrays_mxnet, ivy