code: def to(self, device: Union[str, torch.device]) -> "PyTorchPredictor":
      self.device = resolve_device(device)
      self.prediction_net = self.prediction_net.to(self.device)
      return self
  
imports: from pathlib import Path
  from typing import Iterator, List, Optional, Union
  import numpy
  import torch
  import torch.nn
  from gluonts.core.component import validated
  from gluonts.dataset.common import Dataset
  from gluonts.dataset.loader import InferenceDataLoader
  from gluonts.model.forecast import Forecast
  from gluonts.model.forecast_generator import ForecastGenerator, SampleForecastGenerator, to_numpy
  from gluonts.model.predictor import OutputTransform, RepresentablePredictor
  from gluonts.torch.batchify import batchify
  from gluonts.torch.util import resolve_device
  from gluonts.transform import SelectFields, Transformation
label_desc: Use image node_id 2 for calling the PyTorchPredictor obj's underlying member method code with example usage: obj.to(device) and returns: self