snapshot...

modules/deeplearning/icing_cnn.py

 import tensorflow as tf
-import tensorflow_addons as tfa
+#import tensorflow_addons as tfa
 from util.setup import logdir, modeldir, cachepath
 from util.util import homedir
-import subprocess
 
 import os, datetime
 import numpy as np
@@ -401,7 +400,7 @@ class IcingIntensityNN:
         self.learningRateSchedule = tf.keras.optimizers.schedules.ExponentialDecay(initial_learning_rate, decay_steps, decay_rate)
 
         optimizer = tf.keras.optimizers.Adam(learning_rate=self.learningRateSchedule)
-        optimizer = tfa.optimizers.MovingAverage(optimizer)
+        # optimizer = tfa.optimizers.MovingAverage(optimizer)
 
         if TRACK_MOVING_AVERAGE:
             ema = tf.train.ExponentialMovingAverage(decay=0.999)