diff --git a/deploy/slim/prune/README.md b/deploy/slim/prune/README.md
index 20d8c1e928cbc20c4bd891656e39f9d2bee0dc68..9dc53f2cc6bb65925247f7ddc5887b54c5f7e0e5 100644
--- a/deploy/slim/prune/README.md
+++ b/deploy/slim/prune/README.md
@@ -30,7 +30,7 @@ python setup.py install
 ```
 
 ### 2. 获取预训练模型
-模型裁剪需要加载事先训练好的模型，PaddleOCR也提供了一系列模型[../../../doc/doc_ch/models_list.md]，开发者可根据需要自行选择模型或使用自己的模型。
+模型裁剪需要加载事先训练好的模型，PaddleOCR也提供了一系列(模型)[../../../doc/doc_ch/models_list.md]，开发者可根据需要自行选择模型或使用自己的模型。
 
 ### 3. 敏感度分析训练
 
diff --git a/deploy/slim/prune/export_prune_model.py b/deploy/slim/prune/export_prune_model.py
index 0603966f8eeb9a59fa8c4494bf47de9cdaf53774..2ffcf1d8fa5a8847a720fde3e500d03c8117314d 100644
--- a/deploy/slim/prune/export_prune_model.py
+++ b/deploy/slim/prune/export_prune_model.py
@@ -24,6 +24,7 @@ sys.path.append(os.path.join(__dir__, '..', '..', '..'))
 sys.path.append(os.path.join(__dir__, '..', '..', '..', 'tools'))
 
 import program
+import paddle
 from paddle import fluid
 from ppocr.utils.utility import initial_logger
 logger = initial_logger()
@@ -32,6 +33,12 @@ from paddleslim.prune import load_model
 
 
 def main():
+    # Run code with static graph mode.
+    try:
+        paddle.enable_static()
+    except:
+        pass
+
     startup_prog, eval_program, place, config, _ = program.preprocess()
 
     feeded_var_names, target_vars, fetches_var_name = program.build_export(
diff --git a/deploy/slim/prune/pruning_and_finetune.py b/deploy/slim/prune/pruning_and_finetune.py
index 77ba604ad40a6f219a16d63fbdae6cd8946bdec2..b066b73682f649c58104a93eb46f99a4d610ad2d 100644
--- a/deploy/slim/prune/pruning_and_finetune.py
+++ b/deploy/slim/prune/pruning_and_finetune.py
@@ -19,6 +19,7 @@ from __future__ import print_function
 import os
 import sys
 import numpy as np
+import paddle
 __dir__ = os.path.dirname(__file__)
 sys.path.append(__dir__)
 sys.path.append(os.path.join(__dir__, '..', '..', '..'))
@@ -49,6 +50,12 @@ skip_list = [
 
 
 def main():
+    # Run code with static graph mode.
+    try:
+        paddle.enable_static()
+    except:
+        pass
+
     config = program.load_config(FLAGS.config)
     program.merge_config(FLAGS.opt)
     logger.info(config)
diff --git a/deploy/slim/prune/sensitivity_anal.py b/deploy/slim/prune/sensitivity_anal.py
index b416f09a3a17527eccbd131917ca257b39bc7884..1eebd61408a0890957e2fdf9761eb938fb53d476 100644
--- a/deploy/slim/prune/sensitivity_anal.py
+++ b/deploy/slim/prune/sensitivity_anal.py
@@ -25,6 +25,7 @@ sys.path.append(os.path.join(__dir__, '..', '..', '..', 'tools'))
 
 import json
 import cv2
+import paddle
 from paddle import fluid
 import paddleslim as slim
 from copy import deepcopy
@@ -60,6 +61,12 @@ def eval_function(eval_args, mode='eval'):
 
 
 def main():
+    # Run code with static graph mode.
+    try:
+        paddle.enable_static()
+    except:
+        pass
+
     config = program.load_config(FLAGS.config)
     program.merge_config(FLAGS.opt)
     logger.info(config)
diff --git a/deploy/slim/quantization/export_model.py b/deploy/slim/quantization/export_model.py
index 5f4d91a8eea2d4f63334be571620aa0e1c00fabd..9741f2a2a9a5e42b8c757efbc5b095586f4eb55c 100644
--- a/deploy/slim/quantization/export_model.py
+++ b/deploy/slim/quantization/export_model.py
@@ -39,6 +39,7 @@ set_paddle_flags(
 )
 
 import program
+import paddle
 from paddle import fluid
 from ppocr.utils.utility import initial_logger
 logger = initial_logger()
@@ -76,6 +77,11 @@ def main():
         # The decay coefficient of moving average, default is 0.9
         'moving_rate': 0.9,
     }
+    # Run code with static graph mode.
+    try:
+        paddle.enable_static()
+    except:
+        pass
 
     startup_prog, eval_program, place, config, alg_type = program.preprocess()
 
diff --git a/deploy/slim/quantization/quant.py b/deploy/slim/quantization/quant.py
index e75e84be86867274368b6a0427b3d02d2524e020..1af76f1ed8a154f389265294656e8deaa941b052 100755
--- a/deploy/slim/quantization/quant.py
+++ b/deploy/slim/quantization/quant.py
@@ -85,6 +85,12 @@ def get_optimizer():
 
 
 def main():
+    # Run code with static graph mode.
+    try:
+        paddle.enable_static()
+    except:
+        pass
+
     train_build_outputs = program.build(
         config, train_program, startup_program, mode='train')
     train_loader = train_build_outputs[0]