code: def convert_mxnet_default_outputs(
      model: Model, X_Ymxnet: Any, is_train: bool
  ):
      X, Ymxnet = X_Ymxnet
      Y = convert_recursive(is_mxnet_array, mxnet2xp, Ymxnet)
  
      def reverse_conversion(dY: Any) -> ArgsKwargs:
          dYmxnet = convert_recursive(is_xp_array, xp2mxnet, dY)
          return ArgsKwargs(
              args=((Ymxnet,),), kwargs={"head_grads": dYmxnet}
          )
  
      return Y, reverse_conversion
  
file_path: thinc/thinc/layers/mxnetwrapper.py
imports: from typing import Any, Callable, Optional, Tuple, Type
  from ..config import registry
  from ..model import Model
  from ..shims import MXNetShim
  from ..types import ArgsKwargs
  from ..util import convert_recursive, is_mxnet_array, is_xp_array, mxnet2xp, xp2mxnet
label_desc: Use image node_id 4 for calling a global function with example usage: convert_mxnet_default_outputs(model, X_Ymxnet, is_train) and returns: Y,  reverse_conversion, ArgsKwargs