def METHOD_NAME(self, start_server_with_mapping):
    """
    <b>Description</b>
    Submit request to gRPC 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
    # Connect to grpc service
    stub = create_channel(port=ports["grpc_port"])
    imgs_v1_224 = np.ones(AgeGender.input_shape, AgeGender.dtype)
    output = infer(imgs_v1_224, input_tensor=AgeGender.input_name, grpc_stub=stub,
                   model_spec_name=AgeGender.name,
                   model_spec_version=None,
                   output_tensors=AgeGender.output_name)
    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