diff --git a/deploy/slim/prune/export_prune_model.py b/deploy/slim/prune/export_prune_model.py
index b3ca4abc5e34830d86da8b12652a262fee7c4a56..0603966f8eeb9a59fa8c4494bf47de9cdaf53774 100644
--- a/deploy/slim/prune/export_prune_model.py
+++ b/deploy/slim/prune/export_prune_model.py
@@ -23,20 +23,6 @@ sys.path.append(__dir__)
 sys.path.append(os.path.join(__dir__, '..', '..', '..'))
 sys.path.append(os.path.join(__dir__, '..', '..', '..', 'tools'))
 
-
-def set_paddle_flags(**kwargs):
-    for key, value in kwargs.items():
-        if os.environ.get(key, None) is None:
-            os.environ[key] = str(value)
-
-
-# NOTE(paddle-dev): All of these flags should be
-# set before `import paddle`. Otherwise, it would
-# not take any effect.
-set_paddle_flags(
-    FLAGS_eager_delete_tensor_gb=0,  # enable GC to save memory
-)
-
 import program
 from paddle import fluid
 from ppocr.utils.utility import initial_logger
diff --git a/deploy/slim/prune/pruning_and_finetune.py b/deploy/slim/prune/pruning_and_finetune.py
index d0b657240270816ca4d4d1aed1849ce516d3afeb..0a03cb449523232dbeedf1d7066b4ea4ba01f31f 100644
--- a/deploy/slim/prune/pruning_and_finetune.py
+++ b/deploy/slim/prune/pruning_and_finetune.py
@@ -24,20 +24,6 @@ sys.path.append(__dir__)
 sys.path.append(os.path.join(__dir__, '..', '..', '..'))
 sys.path.append(os.path.join(__dir__, '..', '..', '..', 'tools'))
 
-
-def set_paddle_flags(**kwargs):
-    for key, value in kwargs.items():
-        if os.environ.get(key, None) is None:
-            os.environ[key] = str(value)
-
-
-# NOTE(paddle-dev): All of these flags should be
-# set before `import paddle`. Otherwise, it would
-# not take any effect.
-set_paddle_flags(
-    FLAGS_eager_delete_tensor_gb=0,  # enable GC to save memory
-)
-
 import tools.program as program
 from paddle import fluid
 from ppocr.utils.utility import initial_logger
diff --git a/deploy/slim/prune/sensitivity_anal.py b/deploy/slim/prune/sensitivity_anal.py
index 4a55e066687507030f7553d32b1c3a071c34fff0..b416f09a3a17527eccbd131917ca257b39bc7884 100644
--- a/deploy/slim/prune/sensitivity_anal.py
+++ b/deploy/slim/prune/sensitivity_anal.py
@@ -23,20 +23,6 @@ sys.path.append(__dir__)
 sys.path.append(os.path.join(__dir__, '..', '..', '..'))
 sys.path.append(os.path.join(__dir__, '..', '..', '..', 'tools'))
 
-
-def set_paddle_flags(**kwargs):
-    for key, value in kwargs.items():
-        if os.environ.get(key, None) is None:
-            os.environ[key] = str(value)
-
-
-# NOTE(paddle-dev): All of these flags should be
-# set before `import paddle`. Otherwise, it would
-# not take any effect.
-set_paddle_flags(
-    FLAGS_eager_delete_tensor_gb=0,  # enable GC to save memory
-)
-
 import json
 import cv2
 from paddle import fluid
diff --git a/tools/program.py b/tools/program.py
index 7c0177336a3161d6039248f3bad6b63b47406878..621924311305867b403893fd6e12f51c24341b81 100755
--- a/tools/program.py
+++ b/tools/program.py
@@ -33,7 +33,6 @@ from eval_utils.eval_rec_utils import eval_rec_run
 from ppocr.utils.save_load import save_model
 import numpy as np
 from ppocr.utils.character import cal_predicts_accuracy, cal_predicts_accuracy_srn, CharacterOps
-import paddleslim as slim
 
 
 class ArgsParser(ArgumentParser):
@@ -300,6 +299,7 @@ def train_eval_det_run(config,
                         best_epoch = epoch
                         save_path = save_model_dir + "/best_accuracy"
                         if is_pruning:
+                            import paddleslim as slim
                             slim.prune.save_model(
                                 exe, train_info_dict['train_program'],
                                 save_path)
@@ -317,6 +317,7 @@ def train_eval_det_run(config,
         if epoch == 0 and save_epoch_step == 1:
             save_path = save_model_dir + "/iter_epoch_0"
             if is_pruning:
+                import paddleslim as slim
                 slim.prune.save_model(exe, train_info_dict['train_program'],
                                       save_path)
             else:
@@ -324,6 +325,7 @@ def train_eval_det_run(config,
         if epoch > 0 and epoch % save_epoch_step == 0:
             save_path = save_model_dir + "/iter_epoch_%d" % (epoch)
             if is_pruning:
+                import paddleslim as slim
                 slim.prune.save_model(exe, train_info_dict['train_program'],
                                       save_path)
             else: