code: def build_transforms(
      transforms_config: List[Dict[str, Any]]
  ) -> Callable:
      """
      Builds a transform from the list of transform configurations.
      """
      transform_list = [
          build_transform(config) for config in transforms_config
      ]
      return transforms.Compose(transform_list)
  
file_path: ClassyVision/classy_vision/dataset/transforms/__init__.py
imports: import copy
  import traceback
  from pathlib import Path
  from typing import Any, Callable, Dict, List
  import torchvision.transforms
  from classy_vision.generic.registry_utils import import_all_modules
  from classy_vision.generic.util import log_class_usage
  from .classy_transform import ClassyTransform
  from .lighting_transform import LightingTransform
  from .util import ApplyTransformToKey
  from .util import ImagenetAugmentTransform
  from .util import ImagenetNoAugmentTransform
  from .util import GenericImageTransform
  from .util import TupleToMapTransform
label_desc: Use image node_id 2 for calling a global function with example usage: build_transforms(transforms_config) and returns: transforms