code: def forecast_generator(self) -> ForecastGenerator:
      return QuantileForecastGenerator(quantiles=self.quantiles)
  
file_path: gluonts/src/gluonts/torch/distributions/quantile_output.py
imports: from typing import List, Optional, Tuple
  import torch
  from gluonts.core.component import validated
  from gluonts.model.forecast_generator import ForecastGenerator, QuantileForecastGenerator
  from .distribution_output import Output
label_desc: Use image node_id 2 for calling the QuantileOutput obj's underlying member method code with example usage: obj.forecast_generator() and returns: QuantileForecastGenerator