def _materialize(output):
    task = dataset_providers.Task('feature_validation_task', self.function_source, output_features=features, preprocessors=((lambda _: tf.data.Dataset.from_tensors(output)),), metric_fns=[])
    list(task.get_dataset({'inputs': 13, 'targets': 13, 'inputs_rank2': 13}, 'train', use_cached=False).as_numpy_iterator())
def _materialize(output):
    task = dataset_providers.Task('feature_validation_task', self.function_source, output_features=features, preprocessors=((lambda _: tf.data.Dataset.from_tensors(output)),), metric_fns=[])
    list(task.get_dataset({'inputs': 13, 'targets': 13, 'inputs_rank2': 13}, 'train', use_cached=False).as_numpy_iterator())