convert Neural Prophet model to onnx

[JanhaviChinchole]

Hi,
I want to convert neural prophet model to onnx format. I tried with this

if model_type == 'onnx':
        df = pd.read_csv('H:\AIML\AIML_1\DailyDelhiClimateTrain.csv')
        df.rename(columns={'date': "ds",'meantemp': "y"},inplace=True)
            ############################################################3333
        df["ds"]=pd.to_datetime(df["ds"])
        model = NeuralProphet(yearly_seasonality=True, impute_missing="true", normalize="minmax")
        regressors = [col for col in df.columns if col not in ['ds', 'y']]
        for regressor in regressors:
            model.add_lagged_regressor(regressor)
        model.fit(df)
        torch.onnx.export(model, df, "neural_prophet.onnx") 

         **im getting error of** 
         
         File "H:\AIML\n_pro\n_pro.py", line 340, in <module>
    x= train_and_save_model(model_name, table_name, folder_name, model_type="onnx")

  File "H:\AIML\n_pro\n_pro.py", line 315, in train_and_save_model
    torch.onnx.export(model, df, "neural_prophet.onnx")
  File "H:\AIML\aiml\lib\site-packages\torch\onnx\utils.py", line 504, in export
    _export(
  File "H:\AIML\aiml\lib\site-packages\torch\onnx\utils.py", line 1506, in _export
    with exporter_context(model, training, verbose):
  File "H:\Study_material\anaconda\lib\contextlib.py", line 119, in __enter__
    return next(self.gen)
  File "H:\AIML\aiml\lib\site-packages\torch\onnx\utils.py", line 176, in exporter_context
    with select_model_mode_for_export(
  File "H:\Study_material\anaconda\lib\contextlib.py", line 119, in __enter__
    return next(self.gen)
  File "H:\AIML\aiml\lib\site-packages\torch\onnx\utils.py", line 137, in disable_apex_o2_state_dict_hook
    for module in model.modules():
AttributeError: 'NeuralProphet' object has no attribute 'modules'