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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def convert_elementwise_mul_scalar(net, node, module, builder):
 """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. """

    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)