code: def test_fit(self):
      train_data, val_data, test_data = create_data(loader=True)
      model = model_creator({"past_seq_len": 24, "future_seq_len": 5})
      trainer = Trainer(max_epochs=1)
      pl_model = Trainer.compile(
          model,
          loss=torch.nn.MSELoss(),
          optimizer=torch.optim.Adam(model.parameters(), lr=0.005),
      )
      trainer.fit(pl_model, train_data)
  
file_path: BigDL/python/chronos/test/bigdl/chronos/model/test_nbeats_pytorch.py
imports: from unittest import TestCase
  from bigdl.chronos.utils import LazyImport
  import numpy
  import tempfile
  import os
  from ..None import op_torch
label_desc: Use image node_id 1 for calling the TestNbeatsPytorch obj's underlying member method code with example usage: obj.test_fit() without return types