diff --git a/mindspore/train/serialization.py b/mindspore/train/serialization.py
index e4eec594aa..52b59ed2fc 100644
--- a/mindspore/train/serialization.py
+++ b/mindspore/train/serialization.py
@@ -18,6 +18,8 @@ import sys
 import stat
 import math
 import shutil
+import time
+import copy
 from threading import Thread, Lock
 import numpy as np
 
@@ -756,6 +758,9 @@ def _quant_export(network, *inputs, file_format, **kwargs):
     supported_formats = ['AIR', 'MINDIR']
     quant_mode_formats = ['AUTO', 'MANUAL']
 
+    quant_net = copy.deepcopy(network)
+    quant_net._create_time = int(time.time() * 1e9)
+
     mean = 127.5 if kwargs.get('mean', None) is None else kwargs['mean']
     std_dev = 127.5 if kwargs.get('std_dev', None) is None else kwargs['std_dev']
 
@@ -772,17 +777,17 @@ def _quant_export(network, *inputs, file_format, **kwargs):
     if file_format not in supported_formats:
         raise ValueError('Illegal file format {}.'.format(file_format))
 
-    network.set_train(False)
+    quant_net.set_train(False)
     if file_format == "MINDIR":
         if quant_mode == 'MANUAL':
-            exporter = quant_export.ExportManualQuantNetwork(network, mean, std_dev, *inputs, is_mindir=True)
+            exporter = quant_export.ExportManualQuantNetwork(quant_net, mean, std_dev, *inputs, is_mindir=True)
         else:
-            exporter = quant_export.ExportToQuantInferNetwork(network, mean, std_dev, *inputs, is_mindir=True)
+            exporter = quant_export.ExportToQuantInferNetwork(quant_net, mean, std_dev, *inputs, is_mindir=True)
     else:
         if quant_mode == 'MANUAL':
-            exporter = quant_export.ExportManualQuantNetwork(network, mean, std_dev, *inputs)
+            exporter = quant_export.ExportManualQuantNetwork(quant_net, mean, std_dev, *inputs)
         else:
-            exporter = quant_export.ExportToQuantInferNetwork(network, mean, std_dev, *inputs)
+            exporter = quant_export.ExportToQuantInferNetwork(quant_net, mean, std_dev, *inputs)
     deploy_net = exporter.run()
     return deploy_net