code: def _to_device(self, images, targets):
      images = [image.to(self._device) for image in images]
      targets = [
          {k: v.to(self._device) for k, v in t.items()} for t in targets
      ]
      return images, targets
  
imports: import os
  import pandas
  import random
  import torch
  import torchvision
  from detecto.config import config
  from detecto.utils import default_transforms, filter_top_predictions, xml_to_csv, _is_iterable, read_image
  from torchvision import transforms
  from torchvision.models.detection.faster_rcnn import FastRCNNPredictor
  from tqdm import tqdm
label_desc: Use image node_id 10 for calling the Model obj's underlying member method code with example usage: obj._to_device(images, targets) and returns: images,  targets