code: def __call__(self, target):
      assert isinstance(target, tuple) and len(target) == 2
      label, augmentation = target
      return (label, self._augmentations[augmentation])
  
file_path: pytorch-meta/torchmeta/transforms/target_transforms.py
imports: from torchvision.transforms import Compose, Resize, ToTensor
  import PIL
label_desc: Use image node_id 2 for calling the DefaultTargetTransform obj's underlying member method code with example usage: obj.__call__(target) and returns: label,  self