diff --git a/modules/deeplearning/cloud_fraction_fcn_viirs.py b/modules/deeplearning/cloud_fraction_fcn_viirs.py
index fc9c9ef7a25db7d964c71b7f130237fd391746f7..d2daff00208b5f80d1d81c4b66fb38b283c30ccd 100644
--- a/modules/deeplearning/cloud_fraction_fcn_viirs.py
+++ b/modules/deeplearning/cloud_fraction_fcn_viirs.py
@@ -116,7 +116,7 @@ def upsample_mean(grd):
 
 
 def get_grid_cell_mean(grd_k):
-    grd_k = np.where(np.isnan(grd_k), 0, grd_k)
+    # grd_k = np.where(np.isnan(grd_k), 0, grd_k)
     a = grd_k[:, 0::2, 0::2]
     b = grd_k[:, 1::2, 0::2]
     c = grd_k[:, 0::2, 1::2]
@@ -127,7 +127,7 @@ def get_grid_cell_mean(grd_k):
 
 
 def get_min_max_std(grd_k):
-    grd_k = np.where(np.isnan(grd_k), 0, grd_k)
+    # grd_k = np.where(np.isnan(grd_k), 0, grd_k)
     a = grd_k[:, 0::2, 0::2]
     b = grd_k[:, 1::2, 0::2]
     c = grd_k[:, 0::2, 1::2]