How do i dynamically update pipeline config for data augmentation options in tensorflow api

Question

hparams = tf.contrib.training.HParams(
    batch_size=int(FLAGS.batch_size),
    random_horizontal_flip = {"keypoint_flip_permutation" : 1},
    )
  cfg =