class_docstr: Compose several transforms together.
  
  Attributes:
    transforms (list of ``Transform`` objects): list of transforms to compose.
code: def __call__(self, features):
      for t in self.transforms:
          features = t(features)
          if "masks" in features["label"]:
              tf.debugging.assert_shapes(
                  shapes=(
                      (features["label"]["masks"], ["n", "w", "h", 1]),
                      (features["inputs"], [..., "w", "h", 3]),
                      (features["label"]["labels"], ["n"]),
                  ),
                  message=f"Shape mismatch after transformation {t.__class__}",
              )
  
      return features
  
imports: from typing import Any, Dict
  import tensorflow
label_desc: Use image node_id 2 for calling the Compose obj's underlying member method code with example usage: obj.__call__(features) and returns: features