diff --git a/training/training_loop.py b/training/training_loop.py
index 62716b36133b1ed868dcf9511577d3f2e8f66fe7..61264e1bac1158b9d81ca99aef7c16aa6d220126 100755
--- a/training/training_loop.py
+++ b/training/training_loop.py
@@ -73,16 +73,11 @@ def process_reals(x, labels, lod, mirror_augment, mirror_augment_v, spatial_augm
             x = tf.where(tf.random_uniform([tf.shape(x)[0]]) < 0.5, x, tf.reverse(x, [2]))
     if spatial_augmentations:
         with tf.name_scope('SpatialAugmentations'):
-            print('DATA SHAPE:')
-            print(dshape)
             x.set_shape(dshape)
             x = tf.transpose(x, [0, 2, 3, 1])
-            print('BEFORE: ',x)
             x = tf.map_fn(apply_random_aug, x)
-            print('AFTER: ',x)
             x = tf.transpose(x, [0, 3, 1, 2])
-            print('POST AUGMENT/TRANSPOSE :')
-            print(x.get_shape())
+
     with tf.name_scope('FadeLOD'): # Smooth crossfade between consecutive levels-of-detail.
         s = tf.shape(x)
         y = tf.reshape(x, [-1, s[1], s[2]//2, 2, s[3]//2, 2])