diff --git a/ppdet/engine/trainer.py b/ppdet/engine/trainer.py
index 53e82792ac2dc6e4558dcda7ba827cc675152283..d8a2803d903feb018dbac9938e2fe3262543e583 100644
--- a/ppdet/engine/trainer.py
+++ b/ppdet/engine/trainer.py
@@ -558,25 +558,27 @@ class Trainer(object):
                     shape=[None, 3, 192, 64], name='crops')
             })
 
-        # dy2st and save model
-        if 'slim' not in self.cfg or self.cfg['slim_type'] != 'QAT':
-            static_model = paddle.jit.to_static(
+
+        static_model = paddle.jit.to_static(
                 self.model, input_spec=input_spec)
-            # NOTE: dy2st do not pruned program, but jit.save will prune program
-            # input spec, prune input spec here and save with pruned input spec
-            pruned_input_spec = self._prune_input_spec(
+        # NOTE: dy2st do not pruned program, but jit.save will prune program
+        # input spec, prune input spec here and save with pruned input spec
+        pruned_input_spec = self._prune_input_spec(
                 input_spec, static_model.forward.main_program,
                 static_model.forward.outputs)
+
+        # dy2st and save model
+        if 'slim' not in self.cfg or self.cfg['slim_type'] != 'QAT':
             paddle.jit.save(
                 static_model,
                 os.path.join(save_dir, 'model'),
                 input_spec=pruned_input_spec)
-            logger.info("Export model and saved in {}".format(save_dir))
         else:
             self.cfg.slim.save_quantized_model(
                 self.model,
                 os.path.join(save_dir, 'model'),
-                input_spec=input_spec)
+                input_spec=pruned_input_spec)
+        logger.info("Export model and saved in {}".format(save_dir))
 
     def _prune_input_spec(self, input_spec, program, targets):
         # try to prune static program to figure out pruned input spec