code: def convert_reshape(net, node, module, builder):
      
      input_name, output_name = _get_input_output_name(net, node)
      name = node['name']
      target_shape = node['shape']
  
      if any(item <= 0 for item in target_shape):
          raise NotImplementedError('Special dimensional values less than or equal to 0 are not supported yet.'
                                    'Feel free to file an issue here: https://github.com/dmlc/mxnet/issues.')
  
      if 'reverse' in node and node['reverse'] == 'True':
          raise NotImplementedError('"reverse" parameter is not supported by yet.'
                                    'Feel free to file an issue here: https://github.com/dmlc/mxnet/issues.')
  
      mode = 0 # CHANNEL_FIRST
      builder.add_reshape(name, input_name, output_name, target_shape, mode)
docs: Converts a reshape layer from mxnet to coreml.
  
      This doesn't currently handle the deprecated parameters for the reshape layer.
  
      Parameters
      ----------
      network: net
          An mxnet network object.
  
      layer: node
          Node to convert.
  
      module: module
          A module for MXNet
  
      builder: NeuralNetworkBuilder
          A neural network builder object.