code: def test_augly_transforms(self) -> None:
      cfg = compose_hydra_configuration(
          [
              "config=test/integration_test/quick_simclr",
              "+config/test/transforms=augly_transforms_example",
          ],
      )
      _, config = convert_to_attrdict(cfg)
  
      with in_temporary_directory() as _:
          # Test that the training runs with an augly transformation.
          run_integration_test(config)
  
file_path: vissl/tests/test_transforms.py
imports: import unittest
  import numpy
  import torch
  from PIL import Image
  from torchvision.transforms import Compose, ToTensor
  from vissl.data.ssl_transforms.img_pil_to_multicrop import ImgPilToMultiCrop
  from vissl.data.ssl_transforms.img_pil_to_tensor import ImgToTensor
  from vissl.data.ssl_transforms.mnist_img_pil_to_rgb_mode import MNISTImgPil2RGB
  from vissl.utils.hydra_config import compose_hydra_configuration, convert_to_attrdict
  from vissl.utils.test_utils import augly_test, gpu_test, in_temporary_directory, run_integration_test
label_desc: Use image node_id 4 for calling the TestTransform obj's underlying member method code with example usage: obj.test_augly_transforms() without return types