code: def _get_device_casting_test_cases(self, model):
      # Indexing operation can causes hardcoded device type before 1.10
      if not TORCH_VERSION >= (1, 10) or torch.cuda.device_count() == 0:
          return [None]
  
      testing_devices = ["cpu", "cuda:0"]
      if torch.cuda.device_count() > 1:
          testing_devices.append(
              f"cuda:{torch.cuda.device_count() - 1}"
          )
      assert str(model.device) in testing_devices
      testing_devices.remove(str(model.device))
      testing_devices = [
          None
      ] + testing_devices  # test no casting first
  
      return testing_devices
  
imports: import copy
  import glob
  import json
  import os
  import random
  import tempfile
  import unittest
  import zipfile
  import torch
  from torch import Tensor, nn
  from detectron2 import model_zoo
  from detectron2.config import get_cfg
  from detectron2.config.instantiate import dump_dataclass, instantiate
  from detectron2.export import dump_torchscript_IR, scripting_with_instances
  from detectron2.export.flatten import TracingAdapter, flatten_to_tuple
  from detectron2.export.torchscript_patch import patch_builtin_len
  from detectron2.layers import ShapeSpec
  from detectron2.modeling import build_backbone
  from detectron2.modeling.postprocessing import detector_postprocess
  from detectron2.modeling.roi_heads import KRCNNConvDeconvUpsampleHead
  from detectron2.structures import Boxes, Instances
  from detectron2.utils.env import TORCH_VERSION
  from detectron2.utils.testing import assert_instances_allclose, convert_scripted_instances, get_sample_coco_image, random_boxes, reload_script_model, skipIfOnCPUCI
label_desc: Use image node_id 7 for calling the TestTracing obj's underlying member method code with example usage: obj._get_device_casting_test_cases(model) and returns: testing_devices, list