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 630a00f5a7d567700a652c33800bc568bf7d86c7..627a8fedff6aae358ea8f40cb994ec5f71e055e1 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
@@ -30,6 +32,8 @@ 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 set_atol(self):
         self.atol = 1e-6
@@ -88,7 +92,7 @@ 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 f3c8024a21ad307441206ae9eaf86db1552bae8b..f11c39b7b65df85008f0f96eced6099eca43ccc6 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()
@@ -44,7 +48,7 @@ class TestLoadOpXpu(unittest.TestCase):
         exe = fluid.Executor(fluid.XPUPlace(0))
         exe.run(start_prog)
         fluid.io.save_persistables(exe,
-                                   dirname="./model",
+                                   dirname=self.model_path,
                                    main_program=main_prog)
 
     def test_load_xpu(self):
@@ -52,7 +56,7 @@ class TestLoadOpXpu(unittest.TestCase):
         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)