code: def _test_eval(self, sizes):
      inputs = [
          make_model_inputs(torch.rand(3, size[0], size[1]))
          for size in sizes
      ]
      self.model.eval()
      self.model(inputs)
  
file_path: detectron2/projects/DensePose/tests/test_model_e2e.py
imports: import unittest
  import torch
  from detectron2.structures import BitMasks, Boxes, Instances
  from .common import get_model
label_desc: Use image node_id 2 for calling the ModelE2ETest obj's underlying member method code with example usage: obj._test_eval(sizes) without return types