old_contents: 
  import tensorflow as tf
  from tensorflow import flags
  FLAGS = flags.FLAGS
  
  class NoiseAugmenter:
    """This only works with frame data"""
    def augment(self, model_input_raw, num_frames, labels_batch, **unused_params):
      noise_input = tf.truncated_normal(model_input_raw.shape, mean=0.0, stddev=FLAGS.input_noise_level)
      model_input = model_input_raw + noise_input
      return model_input, labels_batch, num_frames
  
new_contents: 
  import tensorflow as tf
  from tensorflow import flags
  FLAGS = flags.FLAGS
  
  class NoiseAugmenter:
    """This only works with frame data"""
    def augment(self, model_input_raw, num_frames, labels_batch, **unused_params):
      noise_input = tf.random_normal(model_input_raw.shape, mean=0.0, stddev=FLAGS.input_noise_level)
      model_input = model_input_raw + noise_input
      return model_input, labels_batch, num_frames
  
subject: add before merge