def add_clip(self, input_name, output_name, min_value, max_value):
layer = caffe_net.LayerParameter(name=output_name, type='Clip',
bottom=[input_name],
top=[output_name])
layer.clip_param(min_value, max_value)
self.caffe_model.add_layer(layer)
self.data_dict[output_name] = Operators.clip(self.data_dict[input_name], min_value, max_value, output_name)
return output_name
