snapshot...

modules/deeplearning/srcnn_l1b_l2.py

@@ -698,6 +698,10 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     grd_b = normalize(grd_b, 'refl_0_65um_nom', mean_std_dct)
 
     grd_c = resample_2d_linear_one(x, y, grd_c, x_up, y_up)
+    if label_param == 'cloud_fraction':
+        grd_c = np.where(np.isnan(grd_c), 0, grd_c)
+    else:
+        grd_c = normalize(grd_c, label_param, mean_std_dct)
 
     data = np.stack([grd_a, grd_b, grd_c], axis=2)
     data = np.expand_dims(data, axis=0)