code: def test_build_dict_field_transform_default_imagenet(self):
      dataset = self.get_test_image_dataset(SampleType.DICT)
  
      # should apply the transform in the config
      config = [{"name": "ToTensor"}]
      default_transform = transforms.Compose(
          [transforms.CenterCrop(100), transforms.ToTensor()]
      )
      transform = build_field_transform_default_imagenet(
          config, default_transform=default_transform
      )
      sample = dataset[0]
      expected_sample = _apply_transform_to_key_and_copy(
          sample, transforms.ToTensor(), "input"
      )
      self.transform_checks(sample, transform, expected_sample)
  
      # should apply default_transform
      config = None
      transform = build_field_transform_default_imagenet(
          config, default_transform=default_transform
      )
      expected_sample = _apply_transform_to_key_and_copy(
          sample, default_transform, "input"
      )
      self.transform_checks(sample, transform, expected_sample)
  
      # should apply the transform for a test split
      transform = build_field_transform_default_imagenet(
          config, split="test"
      )
      expected_sample = _apply_transform_to_key_and_copy(
          sample, ImagenetNoAugmentTransform(), "input"
      )
      self.transform_checks(sample, transform, expected_sample)
  
file_path: ClassyVision/test/dataset_transforms_util_test.py
imports: import copy
  import random
  import unittest
  import numpy
  import torch
  import torchvision.transforms
  from classy_vision.dataset.core.random_image_datasets import RandomImageBinaryClassDataset, SampleType
  from classy_vision.dataset.transforms import build_transforms
  from classy_vision.dataset.transforms.util import build_field_transform_default_imagenet, GenericImageTransform, ImagenetAugmentTransform, ImagenetNoAugmentTransform
label_desc: Use image node_id 3 for calling the DatasetTransformsUtilTest obj's underlying member method code with example usage: obj.test_build_dict_field_transform_default_imagenet() without return types