snapshot...

modules/deeplearning/cloudheight.py

@@ -261,8 +261,6 @@ class CloudHeightNN:
                 # Memory growth must be set before GPUs have been initialized
                 print(e)
 
-        #self.strategy = tf.distribute.MirroredStrategy()
-
     def get_in_mem_data_batch(self, time_keys):
         images = []
         vprof = []
@@ -843,7 +841,6 @@ class CloudHeightNN:
         print('acc_5', self.num_5, self.accuracy_5.result())
 
     def run(self, matchup_dict, train_dict=None, valid_dict=None):
-        #with self.strategy.scope():
         with tf.device('/device:GPU:'+str(self.gpu_device)):
             self.setup_pipeline(matchup_dict, train_dict=train_dict, valid_test_dict=valid_dict)
             self.build_model()