def METHOD_NAME(self):
    cmd = os.path.join(
        self.args.intelai_models, self.args.mode,
        "eval_image_classifier_inference.py")
    cmd = self.get_command_prefix(self.args.socket_id) + self.python_exe + " " + cmd
    cmd += " --input-graph=" + self.args.input_graph + \
           " --num-inter-threads=" + str(self.args.num_inter_threads) + \
           " --num-intra-threads=" + str(self.args.num_intra_threads) + \
           " --batch-size=" + str(self.args.batch_size) + \
           " --warmup-steps=" + str(self.args.warmup_steps) + \
           " --steps=" + str(self.args.steps)
    if self.args.calibrate:
        cmd += " --calibrate=" + str(self.args.calibrate)
    if self.args.data_num_inter_threads:
        cmd += " --data-num-inter-threads=" + str(self.args.data_num_inter_threads)
    if self.args.data_num_intra_threads:
        cmd += " --data-num-intra-threads=" + str(self.args.data_num_intra_threads)
    # if the data location directory is not empty, then include the arg
    if self.args.data_location and os.listdir(self.args.data_location):
        cmd += " --data-location=" + self.args.data_location
    if self.args.accuracy_only:
        cmd += " --accuracy-only"
    self.run_command(cmd)