diff --git a/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py b/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
index e8efe3d994a053673478a8fbe4d66330b1a3a79e..abf950cd8af00af7c14afae640e92fd92f41ef3b 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
@@ -412,16 +412,6 @@ class SRCNN:
         data = data.astype(np.float32)
         label = label.astype(np.float32)
 
-        # if is_training and DO_AUGMENT:
-        #     data_ud = np.flip(data, axis=1)
-        #     label_ud = np.flip(label, axis=1)
-        #
-        #     data_lr = np.flip(data, axis=2)
-        #     label_lr = np.flip(label, axis=2)
-        #
-        #     data = np.concatenate([data, data_ud, data_lr])
-        #     label = np.concatenate([label, label_ud, label_lr])
-
         return data, data_hkm, label
 
     def get_in_mem_data_batch_train(self, idxs):