code: def get_test_images(
      self,
  ) -> Tuple[List[torch.Tensor], List[torch.Tensor]]:
      return (
          [
              self.get_image(
                  "encode_jpeg/grace_hopper_517x606.jpg", (100, 320)
              )
          ],
          [
              self.get_image(
                  "fakedata/logos/rgb_pytorch.png", (250, 380)
              )
          ],
      )
  
imports: import io
  from collections import OrderedDict
  from typing import List, Optional, Tuple
  import pytest
  import torch
  from common_utils import assert_equal, set_rng_seed
  from torchvision import models, ops
  from torchvision.models.detection.faster_rcnn import FastRCNNPredictor, TwoMLPHead
  from torchvision.models.detection.image_list import ImageList
  from torchvision.models.detection.roi_heads import RoIHeads
  from torchvision.models.detection.rpn import AnchorGenerator, RegionProposalNetwork, RPNHead
  from torchvision.models.detection.transform import GeneralizedRCNNTransform
  from torchvision.ops import _register_onnx_ops
label_desc: Use image node_id 21 for calling the TestONNXExporter obj's underlying member method code with example usage: obj.get_test_images() and returns: list,  list