def METHOD_NAME(self, model, tensor_dict):
    """The function is used by tune strategy class for setting tensor back to model.
    Args:
        model (object): The model to set tensor. Usually it is quantized model.
        tensor_dict (dict): The tensor dict to set. Note the numpy array contains float
                            value, adaptor layer has the responsibility to quantize to
                            int8 or int32 to set into the quantized model if needed.
                            The dict format is something like:
                            {
                              'weight0_name': numpy.array,
                              'bias0_name': numpy.array,
                              ...
                            }
    """
    raise NotImplementedError