code: def _connect_coreml_layers(self):
      for layer in self.builder.nn_spec.layers:
          for i, out_node in enumerate(layer.output):
              layer.output[i] = self.IR_graph.get_node(
                  out_node
              ).real_name
  
imports: from __future__ import division
  import os
  import numpy
  from six import string_types
  from mmdnn.conversion.common.IR.IR_graph import IRGraph, IRGraphNode
  import mmdnn.conversion.common.IR.graph_pb2
  from mmdnn.conversion.common.IR.graph_pb2 import NodeDef, GraphDef, DataType
  from mmdnn.conversion.common.DataStructure.emitter import Emitter
  from mmdnn.conversion.common.utils import *
  from mmdnn.conversion.coreml.coreml_utils import _infer_coreml_input_shape
  from coremltools.models.neural_network import NeuralNetworkBuilder
  from coremltools.models import datatypes
  from coremltools.models import MLModel
  from coremltools.models.utils import save_spec
label_desc: Use image node_id 3 for calling the CoreMLEmitter obj's underlying member method code with example usage: obj._connect_coreml_layers() without return types