def infer(self, input, field='value', **kwargs): """  Infer a data by model.  :param input: input data batch. Should be python iterable object.  :param field: output field.  """ retv = None kwargs['input'] = input for result in self.iter_infer_field(field=field, **kwargs): if retv is None: retv = [[] for i in xrange(len(result))] for i, item in enumerate(result): retv[i].append(item) > retv = [numpy.concatenate(out) for out in retv] if len(retv) == 1: return retv[0] else: return retv