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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_scalar_multiply(net, node, model, builder):
 """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. """

    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)