code: def convert_elementwise_mul_scalar(net, node, module, builder):
      
      import numpy
      input_name, output_name = _get_input_output_name(net, node)
      name = node['name']
      param = _get_attr(node)
  
      mult = literal_eval(param['scalar'])
      builder.add_scale(name=name,
                        W=numpy.array([mult]),
                        b=0,
                        has_bias=False,
                        input_name=input_name,
                        output_name=output_name)
docs: Convert a scalar multiplication 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.