code: def make_predictions(
      pred_input: Dataset,
      predictor,
      forecasts_at_all_levels: bool = False,
  ):
      predictor.prediction_net.return_forecasts_at_all_levels = (
          forecasts_at_all_levels
      )
      forecast_it = predictor.predict(pred_input)
      return forecast_it
  
file_path: gluonts/src/gluonts/nursery/temporal_hierarchical_forecasting/utils/gluonts_helper.py
imports: from typing import Dict
  import numpy
  import pandas
  from gluonts.dataset.common import DataEntry, Dataset
  from gluonts.dataset.field_names import FieldName
label_desc: Use image node_id 1 for calling a global function with example usage: make_predictions(pred_input, predictor, forecasts_at_all_levels) and returns: forecast_it