See base class for details.

def get_serialized_info(self):
    """See base class for details."""
    # Flatten tf-example features dict
    # Use NonMutableDict to ensure there is no collision between features keys
    features_dict = utils.NonMutableDict()
    for feature_key, feature in self._feature_dict.items():
      serialized_info = feature.get_serialized_info()

      # Features can be either containers (dict of other features) or plain
      # features (ex: single tensor). Plain features have a None
      # feature.features_keys
      if not feature.serialized_keys:
        features_dict[feature_key] = serialized_info
      else:
        # Sanity check which should always be True, as feature.serialized_keys
        # is computed using feature.get_serialized_info()
        _assert_keys_match(serialized_info.keys(), feature.serialized_keys)
        features_dict.update({
            posixpath.join(feature_key, k): v
            for k, v in serialized_info.items()
        })

    return features_dict