def read_config()

in tensorrtllm/run_eval.py [0:0]


def read_config(component, engine_dir):
    engine_dir = Path(engine_dir)
    config_path = engine_dir / component / 'config.json'
    with open(config_path, 'r') as f:
        config = json.load(f)
    model_config = OrderedDict()
    model_config.update(config['pretrained_config'])
    model_config.update(config['build_config'])
    return model_config