Exemplo n.º 1
0
def _init_torch_nndct_module():
    _pop_out_argv = []
    argv = _copy.copy(_sys.argv)
    for cmd_pos, option in enumerate(_sys.argv[1:], 1):
        _pop_out_argv.extend(
            option_util.add_valid_nndct_option(argv, option, cmd_pos, 'torch'))

    for item in _pop_out_argv:
        _sys.argv.remove(item)

    if NndctOption.nndct_option_list.value:
        print("Usage: python file [option]")
        print("Nndct options:")
        for option in option_util.get_all_options():
            print(option)
        _sys.exit()

    if NndctOption.nndct_help.value:
        # TODO: register api info
        pass
        # print("Nndct API Description:")
        # if "__all__" in api.__dict__:
        #   for key in api.__dict__["__all__"]:
        #     item = api.__dict__[key]
        #     if inspect.isclass(item):
        #       print(f"\nclass {key}:\n{item.__doc__}")
        #       for method_name, method in item.__dict__.items():
        #         if (not (method_name.startswith("_") or
        #                  method_name.startswith("__")) and
        #             inspect.isfunction(method) and method.__doc__ is not None):
        #           print(
        #               f"\n def {method_name}{inspect.signature(method)}:\n {method.__doc__}"
        #           )

        #     elif inspect.isfunction(item):
        #       print(f"\ndef {key}{inspect.signature(item)}:\n{item.__doc__}")
        _sys.exit()

    if NndctOption.nndct_parse_debug.value:
        option_util.set_option_value("nndct_logging_level", 1)

    if NndctOption.nndct_logging_level.value > 0:
        NndctDebugLogger("nndct_debug.log")

    if NndctOption.nndct_quant_off.value:
        option_util.set_option_value("nndct_quant_opt", 0)
        option_util.set_option_value("nndct_param_corr", False)
        option_util.set_option_value("nndct_equalization", False)
        # option_util.set_option_value("nndct_wes", False)
        option_util.set_option_value("nndct_wes_in_cle", False)

    #if NndctOption.nndct_quant_opt.value > 2:
    if (not hasattr(NndctOption.nndct_param_corr,
                    '_value')) and (NndctOption.nndct_quant_opt.value <= 0):
        option_util.set_option_value("nndct_param_corr", False)

    if (not hasattr(NndctOption.nndct_equalization,
                    '_value')) and (NndctOption.nndct_quant_opt.value <= 0):
        option_util.set_option_value("nndct_equalization", False)
Exemplo n.º 2
0
def _init_tf_nndct_module():
    _pop_out_argv = []
    argv = _copy.copy(_sys.argv)
    for cmd_pos, option in enumerate(_sys.argv[1:], 1):
        _pop_out_argv.extend(
            option_util.add_valid_nndct_option(argv, option, cmd_pos,
                                               'tensorflow'))

    for item in _pop_out_argv:
        _sys.argv.remove(item)

    if NndctOption.nndct_option_list.value:
        print("Usage: python file [option]")
        print("Nndct options:")
        for option in option_util.get_all_options():
            print(option)
        _sys.exit()

    if NndctOption.nndct_help.value:
        pass
        _sys.exit()