diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 20e1ae80014aca36932a4bd9ff701af6f0d44ad6..f69728a5a4eddf72c6b5e45c528e854b530708ed 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -270,6 +270,7 @@ class SRCNN:
         # data_norm.append(tmp)
         # --------
         tmp = input_data[:, label_idx, :, :]
+        tmp = tmp.copy()
         tmp = np.where(np.isnan(tmp), 0, tmp)
         tmp = smooth_2d(tmp, sigma=1.0)
         tmp = tmp[:, slc_y_2, slc_x_2]
@@ -291,6 +292,7 @@ class SRCNN:
         # -----------------------------------------------------
         # -----------------------------------------------------
         label = input_data[:, label_idx, :, :]
+        label = label.copy()
         # label = smooth_2d(label, sigma=1.0)
         label = label[:, y_128, x_128]
 
@@ -753,6 +755,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
 
     grd_a = get_grid_values_all(h5f, 'temp_11_0um_nom')
     grd_a = grd_a[y_0:y_0+sub_y, x_0:x_0+sub_x]
+    grd_a = grd_a.copy()
     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]
@@ -770,6 +773,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     grd_c = get_grid_values_all(h5f, label_param)
     # grd_c = gaussian_filter(grd_c, sigma=1.0)
     grd_c = grd_c[y_0:y_0+sub_y, x_0:x_0+sub_x]
+    grd_c = grd_c.copy()
     grd_c = np.where(np.isnan(grd_c), 0, grd_c)
     hr_grd_c = grd_c.copy()
     hr_grd_c = hr_grd_c[y_128, x_128]