def METHOD_NAME(self, start_server_with_mapping, request_format):
    """
        <b>Description</b>
        Submit request to REST API interface serving a single resnet model
        <b>input data</b>
        - directory with the model in IR format
        - docker image with ie-serving-py service
        <b>fixtures used</b>
        - model downloader
        - service launching
        <b>Expected results</b>
        - response contains proper numpy shape
    """
    _, ports = start_server_with_mapping
    imgs_v1_224 = np.ones(AgeGender.input_shape, AgeGender.dtype)
    rest_url = get_predict_url(model=AgeGender.name, port=ports["rest_port"])
    output = infer_rest(imgs_v1_224, input_tensor=AgeGender.input_name,
                        rest_url=rest_url,
                        output_tensors=AgeGender.output_name,
                        request_format=request_format)
    logger.info("Output: {}".format(output))
    for output_name, shape in AgeGender.output_shape.items():
        logger.info("Output shape: {}".format(output[output_name].shape))
        assert output[output_name].shape == shape, ERROR_SHAPE