code: def emit_Concat(self, IR_node):
      axis_array = (2, 3, 1, 0)
      axis = axis_array.index(IR_node.get_attr("axis"))
      input_layers = ", ".join(
          ("n." + self.IR_graph.get_node(edge).real_variable_name)
          for edge in IR_node.in_edges
      )
      self.add_body(
          1,
          "n.{:<15} = L.Concat({}, axis={})".format(
              IR_node.variable_name, input_layers, axis
          ),
      )
  
imports: from __future__ import division
  import os
  import sys
  import math
  import numpy
  import caffe
  from caffe import layers
  from caffe import params
  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 *
label_desc: Use image node_id 26 for calling the CaffeEmitter obj's underlying member method code with example usage: obj.emit_Concat(IR_node) without return types