snapshot...

modules/deeplearning/icing_fcn.py

@@ -1199,6 +1199,9 @@ def run_average_models(ckpt_dir_s_path, day_night='NIGHT', l1b_andor_l2='BOTH',
             model_lyrs[k].append(w)
     for lyr in model_lyrs:
         nda = np.stack(lyr)
+        print(nda.shape)
+        avg = np.mean(nda)
+        print(avg.shape)
         avg_model_weights.append(nda)
 
     # -- Make a new model for the averaged weights