snapshot...

modules/deeplearning/srcnn_l1b_l2.py

@@ -242,7 +242,11 @@ class SRCNN:
         data_s = []
         for k in idxs:
             f = files[k]
-            nda = np.load(f)
+            try:
+                nda = np.load(f)
+            except Exception:
+                print(f)
+                continue
             data_s.append(nda)
         input_data = np.concatenate(data_s)