diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 01f2185233ffc345efe2442c1a1d871d9486428d..30c0ff7f6dd45f635447011d16474806f2698565 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -743,10 +743,12 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     grd_a = np.where(np.isnan(grd_a), 0, grd_a)
     hr_grd_a = grd_a.copy()
     hr_grd_a = hr_grd_a[y_128, x_128]
-    grd_a = grd_a[slc_y, slc_x]
-    # grd_a = grd_a[slc_y_2, slc_x_2]
-    # grd_a = resample_2d_linear_one(x_2, y_2, grd_a, t, s)
-    # grd_a = grd_a[y_k, x_k]
+    # Full res:
+    # grd_a = grd_a[slc_y, slc_x]
+    # Half res:
+    grd_a = grd_a[slc_y_2, slc_x_2]
+    grd_a = resample_2d_linear_one(x_2, y_2, grd_a, t, s)
+    grd_a = grd_a[y_k, x_k]
     grd_a = normalize(grd_a, 'temp_11_0um_nom', mean_std_dct)
     # ------------------------------------------------------
     grd_b = get_grid_values_all(h5f, 'refl_0_65um_nom')
@@ -772,8 +774,6 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
         grd_c = normalize(grd_c, label_param, mean_std_dct)
 
     data = np.stack([grd_a, grd_b, grd_c], axis=2)
-    # data = np.stack([grd_a, grd_c], axis=2)
-    # data = np.stack([grd_c], axis=2)
     data = np.expand_dims(data, axis=0)
 
     h5f.close()