snapshot...

modules/deeplearning/icing_cnn.py

@@ -2,6 +2,7 @@ import tensorflow as tf
 from util.setup import logdir, modeldir, cachepath, now, ancillary_path, home_dir
 from util.util import EarlyStop, normalize
 from icing.util import make_for_full_domain_predict
+from util.augment import augment_icing
 from util.geos_nav import get_navigation, get_lon_lat_2d_mesh
 
 import os, datetime
@@ -440,8 +441,10 @@ class IcingIntensityNN:
         dataset = dataset.batch(PROC_BATCH_SIZE)
         dataset = dataset.map(self.data_function, num_parallel_calls=8)
         dataset = dataset.cache()
+        # dataset = dataset.shuffle(PROC_BATCH_BUFFER_SIZE, reshuffle_each_iteration=True)
         if DO_AUGMENT:
             dataset = dataset.shuffle(PROC_BATCH_BUFFER_SIZE)
+            # dataset = dataset.map(augment_icing(), num_parallel_calls=8)
         dataset = dataset.prefetch(buffer_size=1)
         self.train_dataset = dataset