code: def test_interpretation(
      model, dataloaders_fixed_window_without_covariates
  ):
      raw_predictions = model.predict(
          dataloaders_fixed_window_without_covariates["val"],
          mode="raw",
          return_x=True,
          fast_dev_run=True,
      )
      model.plot_interpretation(
          raw_predictions.x, raw_predictions.output, idx=0
      )
  
file_path: pytorch-forecasting/tests/test_models/test_nbeats.py
imports: import pickle
  import shutil
  import lightning.pytorch
  from lightning.pytorch.callbacks import EarlyStopping
  from lightning.pytorch.loggers import TensorBoardLogger
  import pytest
  from pytorch_forecasting.models import NBeats
label_desc: Use image node_id 4 for calling a global function with example usage: test_interpretation(model, dataloaders_fixed_window_without_covariates) without return types