code: def test_module_wrapper():
      for comp in [True, False]:
          run_test(
              100,
              [
                  SimpleRGBImageDecoder(),
                  ToTensor(),
                  ToTorchImage(),
                  ModuleWrapper(tvt.Grayscale(3)),
              ],
              comp,
              "module",
          )
  
imports: import os
  import uuid
  import numpy
  import torch
  from torch.utils.data import Dataset
  from torchvision import transforms
  from assertpy import assert_that
  from tempfile import NamedTemporaryFile
  from torchvision.datasets import CIFAR10
  from torchvision.utils import save_image, make_grid
  from torch.utils.data import Subset
  from ffcv.fields.basics import IntDecoder
  from ffcv.fields.rgb_image import SimpleRGBImageDecoder
  from ffcv.writer import DatasetWriter
  from ffcv.fields import IntField, RGBImageField
  from ffcv.loader import Loader
  from ffcv.pipeline.compiler import Compiler
  from ffcv.transforms import *
label_desc: Use image node_id 4 for calling a global function with example usage: test_module_wrapper() without return types