diff --git a/tools/infer/predict_cls.py b/tools/infer/predict_cls.py
index d2592c6c95b0f466ea3ad5b45a35781282c9a492..074172cc947cdc03b21392cf7b109971763f796a 100755
--- a/tools/infer/predict_cls.py
+++ b/tools/infer/predict_cls.py
@@ -98,10 +98,10 @@ class TextClassifier(object):
             norm_img_batch = np.concatenate(norm_img_batch)
             norm_img_batch = norm_img_batch.copy()
             starttime = time.time()
+
             self.input_tensor.copy_from_cpu(norm_img_batch)
             self.predictor.run()
             prob_out = self.output_tensors[0].copy_to_cpu()
-            self.predictor.try_shrink_memory()
             cls_result = self.postprocess_op(prob_out)
             elapse += time.time() - starttime
             for rno in range(len(cls_result)):
diff --git a/tools/infer/predict_det.py b/tools/infer/predict_det.py
index f5ea0504f97f3e40853d431061f7086653f2628e..b14825bdd8bad55b709d84bdf6df6575d90c7d95 100755
--- a/tools/infer/predict_det.py
+++ b/tools/infer/predict_det.py
@@ -180,7 +180,7 @@ class TextDetector(object):
             preds['maps'] = outputs[0]
         else:
             raise NotImplementedError
-        self.predictor.try_shrink_memory()
+
         post_result = self.postprocess_op(preds, shape_list)
         dt_boxes = post_result[0]['points']
         if self.det_algorithm == "SAST" and self.det_sast_polygon:
diff --git a/tools/infer/predict_rec.py b/tools/infer/predict_rec.py
index 1cb6e01b087ff98efb0a57be3cc58a79425fea57..b24e57dd973bc0216f2875232bcec6e36ab47e29 100755
--- a/tools/infer/predict_rec.py
+++ b/tools/infer/predict_rec.py
@@ -237,7 +237,7 @@ class TextRecognizer(object):
                     output = output_tensor.copy_to_cpu()
                     outputs.append(output)
                 preds = outputs[0]
-            self.predictor.try_shrink_memory()
+
             rec_result = self.postprocess_op(preds)
             for rno in range(len(rec_result)):
                 rec_res[indices[beg_img_no + rno]] = rec_result[rno]