diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index c0b2c15e270b8743825970dcbfb842835ead685e..91f49182d858d858bc2bc83349c8b09f22754829 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -792,7 +792,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     border = int((KERNEL_SIZE - 1)/2)
     cld_frac_out[border:y_len-border, border:x_len - border] = cld_frac[0, :, :]
 
-    # make a DataArray
+    # ---  Make a DataArray ----------------------------------------------------
     # var_names = ['cloud_fraction', 'temp_11_0um', 'refl_0_65um']
     # dims = ['num_params', 'y', 'x']
     # da = xr.DataArray(np.stack([cld_frac_out, bt, refl], axis=0), dims=dims)
@@ -801,6 +801,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     #     'lat': (['y', 'x'], lats),
     #     'lon': (['y', 'x'], lons)
     # })
+    # ---------------------------------------------------------------------------
 
     h5f.close()
 
@@ -850,7 +851,7 @@ def run_evaluate_static_full_disk(in_file, out_file, ckpt_dir):
     cld_frac_out[border:h_y_len, border:x_len - border] = cld_frac_nh[0, :, :]
     cld_frac_out[h_y_len:y_len - border, border:x_len - border] = cld_frac_sh[0, :, :]
 
-    # make DataArray
+    # ---   Make DataArray -------------------------------------------------
     # var_names = ['cloud_fraction', 'temp_11_0um', 'refl_0_65um']
     # dims = ['num_params', 'y', 'x']
     # da = xr.DataArray(np.stack([cld_frac_out, bt, refl], axis=0), dims=dims)
@@ -859,6 +860,7 @@ def run_evaluate_static_full_disk(in_file, out_file, ckpt_dir):
     #     'lat': (['y', 'x'], lats),
     #     'lon': (['y', 'x'], lons)
     # })
+    # ------------------------------------------------------------------------
 
     h5f.close()