
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

@@ -236,17 +236,14 @@
  tf.
-truncated
+random
 _nor

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