diff --git a/python/paddle/fluid/tests/unittests/ipu/test_weight_decay_ipu.py b/python/paddle/fluid/tests/unittests/ipu/test_weight_decay_ipu.py
index 5e652ce48334d4f9e99639eb4489078f02b42e32..b0d55d42809c32ec872ae0c83b6359d558e7d0fa 100644
--- a/python/paddle/fluid/tests/unittests/ipu/test_weight_decay_ipu.py
+++ b/python/paddle/fluid/tests/unittests/ipu/test_weight_decay_ipu.py
@@ -14,7 +14,9 @@
 
 import unittest
 
+import os
 import numpy as np
+import tempfile
 import paddle
 import paddle.static
 from paddle.fluid.tests.unittests.ipu.op_test_ipu import IPUOpTest
@@ -29,6 +31,11 @@ class TestBase(IPUOpTest):
         self.set_data_feed()
         self.set_feed_attr()
         self.set_attrs()
+        self.temp_dir = tempfile.TemporaryDirectory()
+        self.model_path = os.path.join(self.temp_dir.name, "weight_decay")
+
+    def tearDown(self):
+        self.temp_dir.cleanup()
 
     def set_atol(self):
         self.atol = 1e-6
@@ -83,7 +90,7 @@ class TestBase(IPUOpTest):
                 place = paddle.CPUPlace()
             exe = paddle.static.Executor(place)
             exe.run(startup_prog)
-            paddle.static.save(main_prog, "weight_decay")
+            paddle.static.save(main_prog, self.model_path)
 
             if run_ipu:
                 feed_list = [image.name]
diff --git a/python/paddle/fluid/tests/unittests/test_load_op_xpu.py b/python/paddle/fluid/tests/unittests/test_load_op_xpu.py
index a5af6871be4741a0b198959d287ed57cdc9de3e6..f89ea988d53d72341e29fc66e7f7d1896c37629c 100644
--- a/python/paddle/fluid/tests/unittests/test_load_op_xpu.py
+++ b/python/paddle/fluid/tests/unittests/test_load_op_xpu.py
@@ -16,6 +16,8 @@ from __future__ import print_function
 
 import unittest
 import numpy as np
+import os
+import tempfile
 from op_test import OpTest, randomize_probability
 import paddle.fluid as fluid
 import paddle.fluid.layers as layers
@@ -29,6 +31,8 @@ class TestLoadOpXpu(unittest.TestCase):
     """
 
     def setUp(self):
+        self.temp_dir = tempfile.TemporaryDirectory()
+        self.model_path = os.path.join(self.temp_dir.name, "model")
         self.ones = np.ones((4, 4)).astype('float32')
         main_prog = fluid.Program()
         start_prog = fluid.Program()
@@ -44,14 +48,17 @@ class TestLoadOpXpu(unittest.TestCase):
         exe = fluid.Executor(fluid.XPUPlace(0))
         exe.run(start_prog)
         fluid.io.save_persistables(
-            exe, dirname="./model", main_program=main_prog)
+            exe, dirname=self.model_path, main_program=main_prog)
+
+    def tearDown(self):
+        self.temp_dir.cleanup()
 
     def test_load_xpu(self):
         main_prog = fluid.Program()
         start_prog = fluid.Program()
         with fluid.program_guard(main_prog, start_prog):
             var = layers.create_tensor(dtype='float32')
-            layers.load(var, file_path='./model/w')
+            layers.load(var, file_path=self.model_path + '/w')
 
         exe = fluid.Executor(fluid.XPUPlace(0))
         exe.run(start_prog)