code: def _test_eval(self, input_sizes):
      inputs = [
          create_model_input(torch.rand(3, s[0], s[1]))
          for s in input_sizes
      ]
      self.model.eval()
      self.model(inputs)
  
imports: import itertools
  import unittest
  from contextlib import contextmanager
  from copy import deepcopy
  import torch
  from detectron2.structures import BitMasks, Boxes, ImageList, Instances
  from detectron2.utils.events import EventStorage
  from detectron2.utils.testing import get_model_no_weights
label_desc: Use image node_id 2 for calling the SemSegE2ETest obj's underlying member method code with example usage: obj._test_eval(input_sizes) without return types