diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 0f7f8ef1f1e0c49c6c37d27e49a2b64e6ad36171..d952465720b5fc23927dff564c2fb02cdee3f877 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -788,6 +788,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     if label_param != 'cloud_probability':
         grd_c = normalize(grd_c, label_param, mean_std_dct)
     grd_c = resample_2d_linear_one(x_2, y_2, grd_c, t, s)
+    print(grd_a.shape, grd_b.shape, grd_c.shape)
 
     data = np.stack([grd_a, grd_b, grd_c], axis=2)
     data = np.expand_dims(data, axis=0)