Decode the given feature from the tfexample_dict.

  Args:
    feature_k (str): Feature key in the tfexample_dict
    feature (FeatureConnector): Connector object to use to decode the field
    tfexample_dict (dict): Dict containing the data to decode.

  Returns:
    decoded_feature: The output of the feature.decode_example

def decode_single_feature_from_dict(
    feature_k,
    feature,
    tfexample_dict):
  """Decode the given feature from the tfexample_dict.

  Args:
    feature_k (str): Feature key in the tfexample_dict
    feature (FeatureConnector): Connector object to use to decode the field
    tfexample_dict (dict): Dict containing the data to decode.

  Returns:
    decoded_feature: The output of the feature.decode_example
  """
  # Singleton case
  if not feature.serialized_keys:
    data_to_decode = tfexample_dict[feature_k]
  # Feature contains sub features
  else:
    # Extract the sub-features from the global feature dict
    data_to_decode = {
        k: tfexample_dict[posixpath.join(feature_k, k)]
        for k in feature.serialized_keys
    }
  return feature.decode_example(data_to_decode)