snapshot...

modules/deeplearning/icing.py

@@ -182,9 +182,9 @@ class IcingIntensityNN:
         key = frozenset(idxs)
 
         if CACHE_DATA_IN_MEM:
-            data, label = self.in_mem_data_cache.get(key)
-            if data is not None:
-                return data, label
+            tup = self.in_mem_data_cache.get(key)
+            if tup is not None:
+                return tup[0], tup[1]
 
         # sort these to use as numpy indexing arrays
         nd_idxs = np.array(idxs)