diff --git a/hapi/logger.py b/hapi/logger.py
index 8d15f2fe9a04afcf3f8d39bafab6700796201a5b..229bd13bd44f0640b28379bce54c8abda7ee67e5 100644
--- a/hapi/logger.py
+++ b/hapi/logger.py
@@ -1,3 +1,17 @@
+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import os
 import sys
 import logging
diff --git a/hapi/model.py b/hapi/model.py
index 71b08cc628aeff1973598bb6ff2a5cd403e60c1a..2544814cfd219822ad3ab1f0c428f80dca3e9a8d 100644
--- a/hapi/model.py
+++ b/hapi/model.py
@@ -417,7 +417,6 @@ class StaticGraphAdapter(object):
         losses = []
         metrics = []
         with fluid.program_guard(prog, self._startup_prog):
-            # with fluid.unique_name.guard():
             ins = self.model._inputs
             lbls = self.model._labels if self.model._labels else []
             inputs = [k.forward() for k in to_list(ins)]
@@ -453,8 +452,6 @@ class StaticGraphAdapter(object):
 
         if mode != 'train':  # clone again to put it in test mode
             prog = prog.clone(for_test=True)
-        else:
-            self._progs['deploy'] = prog.clone()
 
         self._input_vars[mode] = inputs