code: def _convert_outputs(model, Ytf, is_train):
      Y = convert_recursive(is_tensorflow_array, tensorflow2xp, Ytf)
  
      def reverse_conversion(dY):
          return convert_recursive(is_xp_array, xp2tensorflow, dY)
  
      return Y, reverse_conversion
  
file_path: thinc/thinc/layers/tensorflowwrapper.py
imports: from typing import Any, Callable, Dict, Optional, Tuple, Type, TypeVar
  import srsly
  from ..compat import tensorflow
  from ..model import Model
  from ..shims import TensorFlowShim, keras_model_fns, maybe_handshake_model
  from ..types import ArgsKwargs, ArrayXd
  from ..util import assert_tensorflow_installed, convert_recursive, is_tensorflow_array, is_xp_array, tensorflow2xp, xp2tensorflow
label_desc: Use image node_id 5 for calling a global function with example usage: _convert_outputs(model, Ytf, is_train) and returns: Y,  reverse_conversion, convert_recursive