code: def get_features(self, images):
      s0, s1 = images.shape[-2:]
      features = [torch.rand(2, 8, s0 // 5, s1 // 5)]
      return features
  
file_path: vision/test/test_models_detection_anchor_utils.py
imports: import pytest
  import torch
  from common_utils import assert_equal
  from torchvision.models.detection.anchor_utils import AnchorGenerator, DefaultBoxGenerator
  from torchvision.models.detection.image_list import ImageList
label_desc: Use image node_id 4 for calling the Tester obj's underlying member method code with example usage: obj.get_features(images) and returns: features