code: def convert_scalar_multiply(net, node, model, builder):
      
      import numpy as _np
      input_name, output_name = _get_input_output_name(net, node)
      name = node['name']
      param = _get_attr(node)
      alpha = _np.array([float(param['scalar'])])
      builder.add_scale(name = name, input_name = input_name,
              output_name = output_name, W = alpha, has_bias=False, b=None)
docs: Convert a scalar multiply layer from mxnet to coreml.
  
      Parameters
      ----------
      net: network
          A mxnet network object.
  
      node: layer
          Node to convert.
  
      model: model
          An model for MXNet
  
      builder: NeuralNetworkBuilder
          A neural network builder object.