code: def import_transforms_from_references(reference):
      HERE = Path(__file__).parent
      PROJECT_ROOT = HERE.parent
  
      loader = importlib.machinery.SourceFileLoader(
          "transforms",
          str(
              PROJECT_ROOT / "references" / reference / "transforms.py"
          ),
      )
      spec = importlib.util.spec_from_loader("transforms", loader)
      module = importlib.util.module_from_spec(spec)
      loader.exec_module(module)
      return module
  
imports: import collections.abc
  import re
  import PIL.Image
  import pytest
  import torch
  from common_utils import assert_equal, make_bounding_boxes, make_detection_masks, make_image, make_video
  from torchvision.prototype import transforms, tv_tensors
  from torchvision.transforms.v2._utils import check_type, is_pure_tensor
  from torchvision.transforms.v2.functional import clamp_bounding_boxes, InterpolationMode, pil_to_tensor, to_pil_image
  from torchvision.tv_tensors import BoundingBoxes, BoundingBoxFormat, Image, Mask, Video
  import importlib.machinery
  import importlib.util
  from pathlib import Path
label_desc: Use image node_id 3 for calling a global function with example usage: import_transforms_from_references(reference) and returns: module