def METHOD_NAME(self, start_server_multi_model):
    _, ports = start_server_multi_model
    # Connect to grpc service
    stub = create_channel(port=ports["grpc_port"])
    for model in [Resnet, ResnetBS4, ResnetBS8, ResnetS3]:
        input_data = np.ones(model.input_shape, model.dtype)
        logger.info("Starting inference using {} model".format(model.name))
        output = infer(input_data, input_tensor=model.input_name,
                       grpc_stub=stub,
                       model_spec_name=model.name,
                       model_spec_version=None,
                       output_tensors=[model.output_name])
        logger.info("Output shape: {} for model {} ".format(output[model.output_name].shape, model.name))
        assert_msg = "{} for model {}".format(ERROR_SHAPE, model.name)
        assert output[model.output_name].shape == model.output_shape, assert_msg