docstr: Tests that the imagenet autoaugment transform runs without any errors.
docstr_tok: ["Tests","that","the","imagenet","autoaugment","transform","runs","without","any","errors","."]
code: def test_imagenet_autoaugment_transform_no_errors(self):
      """
      Tests that the imagenet autoaugment transform runs without any errors.
      """
      dataset = self.get_test_image_dataset()
  
      config = [{"name": "imagenet_autoaugment"}]
      transform = build_field_transform_default_imagenet(config)
      sample = dataset[0]
      # test that imagenet autoaugment has been registered and runs without errors
      transform(sample)
  
file_path: ClassyVision/test/dataset_transforms_autoaugment_test.py
imports: import unittest
  from classy_vision.dataset.core.random_image_datasets import RandomImageBinaryClassDataset
  from classy_vision.dataset.transforms.autoaugment import ImagenetAutoAugment
  from classy_vision.dataset.transforms.util import build_field_transform_default_imagenet
label_desc: Use image node_id 2 for calling the AutoaugmentTransformTest obj's underlying member method code with example usage: obj.test_imagenet_autoaugment_transform_no_errors() without return types