code: def convert_padding(net, node, module, builder):
      
  
      input_name, output_name = _get_input_output_name(net, node)
      name = node['name']
  
      param = _get_attr(node)
      pad = literal_eval(param['pad_width'])
  
      pad_left = pad[4]
      pad_top = pad[5]
      pad_right = pad[6]
      pad_bottom = pad[7]
  
      if param['mode'] == 'reflect':
          builder.add_padding(
              name=name,
              top=pad_top,
              bottom=pad_bottom,
              left=pad_left,
              right=pad_right,
              padding_type='reflection',
              input_name=input_name,
              output_name=output_name
          )
      else:
          raise TypeError("Padding type %s not supported" % param['mode'])
docs: Convert a padding layer from mxnet to coreml.
  
      Parameters
      ----------
      net: network
          A mxnet network object.
  
      node: layer
          Node to convert.
  
      module: module
          An module for MXNet
  
      builder: NeuralNetworkBuilder
          A neural network builder object.