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SK-TDA4VM: 如何在pc端编译onnx格式的模型

Part Number: SK-TDA4VM


运行 python3 tflrt_delegate.py -c  脚本默认编译tflite格式文件,脚本里对应部分如下:
if args.disable_offload :
        interpreter = tflite.Interpreter(model_path=config['model_path'], num_threads=2)
    elif args.compile:
        interpreter = tflite.Interpreter(model_path=config['model_path'], \
                        experimental_delegates=[tflite.load_delegate(os.path.join(tidl_tools_path, 'tidl_model_import_tflite.so'), delegate_options)])
    else:
        interpreter = tflite.Interpreter(model_path=config['model_path'], \
                        experimental_delegates=[tflite.load_delegate('libtidl_tfl_delegate.so', delegate_options)])
请问如何编译自己的onnx格式模型?