place all save/load path into temporary directory (#43652)

python/paddle/fluid/tests/unittests/test_collective_api_base.py

@@ -23,6 +23,7 @@ import subprocess
 import traceback
 import functools
 import pickle
+import tempfile
 from contextlib import closing
 import paddle
 import paddle.fluid as fluid
@@ -97,6 +98,11 @@ class TestDistBase(unittest.TestCase):
             self._find_free_port(), self._find_free_port())
         self._python_interp = sys.executable
 
+        self.temp_dir = tempfile.TemporaryDirectory()
+
+    def tearDown(self):
+        self.temp_dir.cleanup()
+
     def _find_free_port(self):
         def __free_port():
             with closing(socket.socket(socket.AF_INET,
@@ -155,9 +161,13 @@ class TestDistBase(unittest.TestCase):
             tr_cmd = "%s %s"
         tr0_cmd = tr_cmd % (self._python_interp, model_file)
         tr1_cmd = tr_cmd % (self._python_interp, model_file)
-        tr0_pipe = open("/tmp/tr0_err_%d.log" % os.getpid(), "w")
-        tr1_pipe = open("/tmp/tr1_err_%d.log" % os.getpid(), "w")
-        #print(tr0_cmd) 
+        path0 = os.path.join(self.temp_dir.name,
+                             "/tmp/tr0_err_%d.log" % os.getpid())
+        path1 = os.path.join(self.temp_dir.name,
+                             "/tmp/tr1_err_%d.log" % os.getpid())
+        tr0_pipe = open(path0, "w")
+        tr1_pipe = open(path1, "w")
+        #print(tr0_cmd)
         tr0_proc = subprocess.Popen(
             tr0_cmd.strip().split(),
             stdout=subprocess.PIPE,
@@ -177,9 +187,9 @@ class TestDistBase(unittest.TestCase):
         # close trainer file
         tr0_pipe.close()
         tr1_pipe.close()
-        with open("/tmp/tr0_err_%d.log" % os.getpid(), "r") as f:
+        with open(path0, "r") as f:
             sys.stderr.write('trainer 0 stderr file: %s\n' % f.read())
-        with open("/tmp/tr1_err_%d.log" % os.getpid(), "r") as f:
+        with open(path1, "r") as f:
             sys.stderr.write('trainer 1 stderr file: %s\n' % f.read())
         return pickle.loads(tr0_out), pickle.loads(
             tr1_out), tr0_proc.pid, tr1_proc.pid

python/paddle/fluid/tests/unittests/test_collective_base.py

@@ -23,6 +23,7 @@ import subprocess
 import traceback
 import functools
 import pickle
+import tempfile
 from contextlib import closing
 import paddle.fluid as fluid
 import paddle.fluid.unique_name as nameGen
@@ -145,6 +146,11 @@ class TestDistBase(unittest.TestCase):
             self._find_free_port(), self._find_free_port())
         self._python_interp = sys.executable
 
+        self.temp_dir = tempfile.TemporaryDirectory()
+
+    def tearDown(self):
+        self.temp_dir.cleanup()
+
     def _find_free_port(self):
         def __free_port():
             with closing(socket.socket(socket.AF_INET,
@@ -183,9 +189,11 @@ class TestDistBase(unittest.TestCase):
         tr_cmd = "%s %s"
         tr0_cmd = tr_cmd % (self._python_interp, model_file)
         tr1_cmd = tr_cmd % (self._python_interp, model_file)
-        tr0_pipe = open("/tmp/tr0_err.log", "wb")
-        tr1_pipe = open("/tmp/tr1_err.log", "wb")
-        #print(tr0_cmd) 
+        path0 = os.path.join(self.temp_dir.name, "/tmp/tr0_err.log")
+        path1 = os.path.join(self.temp_dir.name, "/tmp/tr1_err.log")
+        tr0_pipe = open(path0, "wb")
+        tr1_pipe = open(path1, "wb")
+        #print(tr0_cmd)
         tr0_proc = subprocess.Popen(
             tr0_cmd.strip().split(),
             stdout=subprocess.PIPE,

python/paddle/fluid/tests/unittests/test_communicator_ps_gpu.py

@@ -19,6 +19,7 @@ import unittest
 import time
 import threading
 import numpy
+import tempfile
 
 import paddle
 paddle.enable_static()
@@ -30,7 +31,9 @@ import paddle.distributed.fleet as fleet
 
 class TestCommunicator(unittest.TestCase):
     def test_communicator_ps_gpu(self):
-        with open("test_communicator_ps_gpu.txt", "w") as f:
+        temp_dir = tempfile.TemporaryDirectory()
+        path = os.path.join(temp_dir.name, "test_communicator_ps_gpu.txt")
+        with open(path, "w") as f:
             data = "1 0.6 1 0.7\n"
             f.write(data)
 
@@ -90,7 +93,7 @@ class TestCommunicator(unittest.TestCase):
             self.assertTrue(False)
         time.sleep(10)
         fleet.stop_worker()
-        os.remove("./test_communicator_ps_gpu.txt")
+        temp_dir.cleanup()
 
 
 if __name__ == '__main__':

python/paddle/fluid/tests/unittests/test_dist_base.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 
 from __future__ import print_function
-import time
+import tempfile
 
 import ast
 import unittest
@@ -867,6 +867,11 @@ class TestDistBase(unittest.TestCase):
 
         self._after_setup_config()
 
+        self.temp_dir = tempfile.TemporaryDirectory()
+
+    def tearDown(self):
+        self.temp_dir.cleanup()
+
     def _find_free_port(self):
         def __free_port():
             with closing(socket.socket(socket.AF_INET,
@@ -909,8 +914,10 @@ class TestDistBase(unittest.TestCase):
 
         print(ps0_cmd)
         print(ps1_cmd)
-        ps0_pipe = open(log_name + "_ps0_err.log", "wb")
-        ps1_pipe = open(log_name + "_ps1_err.log", "wb")
+        path0 = os.path.join(self.temp_dir.name, log_name + "_ps0_err.log")
+        path1 = os.path.join(self.temp_dir.name, log_name + "_ps1_err.log")
+        ps0_pipe = open(path0, "wb")
+        ps1_pipe = open(path1, "wb")
 
         print_to_err(type(self).__name__, "going to start pserver process 0")
         ps0_proc = subprocess.Popen(
@@ -990,7 +997,8 @@ class TestDistBase(unittest.TestCase):
         print("local_cmd: {}, env: {}".format(cmd, env_local))
 
         if check_error_log:
-            err_log = open(log_name + "_local.log", "wb")
+            path = os.path.join(self.temp_dir.name, log_name + "_local.log")
+            err_log = open(path, "wb")
             local_proc = subprocess.Popen(
                 cmd.split(" "),
                 stdout=subprocess.PIPE,
@@ -1076,8 +1084,11 @@ class TestDistBase(unittest.TestCase):
 
         print("tr0_cmd: {}, env: {}".format(tr0_cmd, env0))
         print("tr1_cmd: {}, env: {}".format(tr1_cmd, env1))
-        tr0_pipe = open(log_name + "_tr0_err.log", "wb")
-        tr1_pipe = open(log_name + "_tr1_err.log", "wb")
+
+        path0 = os.path.join(self.temp_dir.name, log_name + "_tr0_err.log")
+        path1 = os.path.join(self.temp_dir.name, log_name + "_tr1_err.log")
+        tr0_pipe = open(path0, "wb")
+        tr1_pipe = open(path1, "wb")
 
         print_to_err(type(self).__name__, "going to start trainer process 0")
         tr0_proc = subprocess.Popen(
@@ -1293,7 +1304,9 @@ class TestDistBase(unittest.TestCase):
             print("use_hallreduce:{} tr_cmd:{}, env: {}".format(
                 self._use_hallreduce, tr_cmd, tr_env))
 
-            tr_pipe = open(log_name + "_tr{}_err.log".format(i), "wb")
+            path = os.path.join(self.temp_dir.name,
+                                log_name + "_tr{}_err.log".format(i))
+            tr_pipe = open(path, "wb")
 
             print_to_err(
                 type(self).__name__,
@@ -1355,7 +1368,9 @@ class TestDistBase(unittest.TestCase):
             print("use_hallreduce:{} tr_cmd:{}, env: {}".format(
                 self._use_hallreduce, tr_cmd, tr_env))
 
-            tr_pipe = open(log_name + "_tr{}_err.log".format(i), "wb")
+            path = os.path.join(self.temp_dir.name,
+                                log_name + "_tr{}_err.log".format(i))
+            tr_pipe = open(path, "wb")
 
             print_to_err(
                 type(self).__name__,
@@ -1401,7 +1416,8 @@ class TestDistBase(unittest.TestCase):
             tr_env['FLAGS_cudnn_deterministic'] = '0'
             print("tr_cmd:{}, env: {}".format(tr_cmd, tr_env))
 
-            tr_pipe = open("/tmp/" + "tr{}_err.log".format(i), "wb")
+            path = os.path.join(self.temp_dir.name + "tr{}_err.log".format(i))
+            tr_pipe = open(path, "wb")
 
             print_to_err(
                 type(self).__name__,

python/paddle/fluid/tests/unittests/test_dist_mnist_dgc_nccl.py

@@ -57,13 +57,15 @@ class TestDistMnistNCCL2DGC(TestDistBase):
     def tearDown(self):
         import paddle.fluid as fluid
         if fluid.core.is_compiled_with_cuda():
-            result = count_of_sparse_all_reduce_calls(
-                'test_dist_mnist_dgc_nccl_tr0_err.log')
+            log_file = os.path.join(self.temp_dir.name,
+                                    'test_dist_mnist_dgc_nccl_tr0_err.log')
+            result = count_of_sparse_all_reduce_calls(log_file)
             # only 1 layer use dgc now, run_step=5, rampup_begin_step=2, so 1 * (5 - 2) = 3
 
             # temp close this test. In python3 CI, the log is right, but the result
             # has a problem, may be in multi process mode, log is not written in time.
             # self.assertEqual(result, 3)
+        self.temp_dir.cleanup()
 
 
 class TestDistMnistNCCL2DGCMultiCards(TestDistBase):
@@ -86,10 +88,13 @@ class TestDistMnistNCCL2DGCMultiCards(TestDistBase):
     def tearDown(self):
         import paddle.fluid as fluid
         if fluid.core.is_compiled_with_cuda():
-            result = count_of_sparse_all_reduce_calls(
+            log_file = os.path.join(
+                self.temp_dir.name,
                 'test_dist_mnist_dgc_nccl_dgc_2cards_local.log')
+            result = count_of_sparse_all_reduce_calls(log_file)
             # same as above, but use two cards
             self.assertEqual(result, 6)
+        self.temp_dir.cleanup()
 
 
 if __name__ == "__main__":

python/paddle/fluid/tests/unittests/test_dist_tree_index.py

@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import os
+import tempfile
 import unittest
 from paddle.dataset.common import download, DATA_HOME
 from paddle.distributed.fleet.dataset import TreeIndex
@@ -102,6 +104,12 @@ class TestTreeIndex(unittest.TestCase):
 
 
 class TestIndexSampler(unittest.TestCase):
+    def setUp(self):
+        self.temp_dir = tempfile.TemporaryDirectory()
+
+    def tearDown(self):
+        self.temp_dir.cleanup()
+
     def test_layerwise_sampler(self):
         path = download(
             "https://paddlerec.bj.bcebos.com/tree-based/data/mini_tree.pb",
@@ -109,7 +117,8 @@ class TestIndexSampler(unittest.TestCase):
 
         tdm_layer_counts = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
         #tree = TreeIndex("demo", path)
-        file_name = "test_in_memory_dataset_tdm_sample_run.txt"
+        file_name = os.path.join(self.temp_dir.name,
+                                 "test_in_memory_dataset_tdm_sample_run.txt")
         with open(file_name, "w") as f:
             #data = "29 d 29 d 29 29 29 29 29 29 29 29 29 29 29 29\n"
             data = "1 1 1 15 15 15\n"

python/paddle/fluid/tests/unittests/test_distributed_fused_lamb_op_with_clip.py

@@ -18,6 +18,7 @@ import sys
 import shutil
 import unittest
 import paddle
+import tempfile
 
 
 def get_test_file():
@@ -35,12 +36,13 @@ def remove_file_if_exists(file_name):
 
 
 def run_test(clip_after_allreduce=True, max_global_norm=-1.0):
+    temp_dir = tempfile.TemporaryDirectory()
     if not paddle.is_compiled_with_cuda():
         return
     if os.name == 'nt':
         return
     args = locals()
-    log_dir = 'log_{}'.format(os.getpid())
+    log_dir = os.path.join(temp_dir.name, 'log_{}'.format(os.getpid()))
     cmd = [
         sys.executable,
         '-u',
@@ -57,15 +59,15 @@ def run_test(clip_after_allreduce=True, max_global_norm=-1.0):
     os.environ['MAX_GLOBAL_NORM'] = str(max_global_norm)
 
     touch_file_env = 'SUCCESS_TOUCH_FILE'
-    touch_file_name = 'distributed_fused_lamb_touch_file_{}'.format(os.getpid())
+    touch_file_name = os.path.join(
+        temp_dir.name,
+        'distributed_fused_lamb_touch_file_{}'.format(os.getpid()))
     os.environ[touch_file_env] = touch_file_name
-    remove_file_if_exists(touch_file_name)
     try:
         assert os.system(cmd) == 0 and os.path.exists(
             touch_file_name), 'Test failed when {}'.format(args)
     finally:
-        remove_file_if_exists(touch_file_name)
-        remove_file_if_exists(log_dir)
+        temp_dir.cleanup()
 
 
 class TestDistributedFusedLambWithClip(unittest.TestCase):

python/paddle/fluid/tests/unittests/test_fleet_base_2.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import tempfile
 import unittest
 import paddle
 paddle.enable_static()
@@ -69,14 +70,17 @@ class TestFleetBase(unittest.TestCase):
         compiled_prog = fluid.compiler.CompiledProgram(
             fluid.default_main_program())
 
+        temp_dir = tempfile.TemporaryDirectory()
         fleet.init_worker()
-        fleet.fleet.save(dirname="/tmp", feed=['x', 'y'], fetch=[avg_cost])
         fleet.fleet.save(
-            dirname="/tmp", feed=[input_x, input_y], fetch=[avg_cost])
-        fleet.fleet.save(dirname="/tmp")
+            dirname=temp_dir.name, feed=['x', 'y'], fetch=[avg_cost])
+        fleet.fleet.save(
+            dirname=temp_dir.name, feed=[input_x, input_y], fetch=[avg_cost])
+        fleet.fleet.save(dirname=temp_dir.name)
 
-        fleet.load_model(path="/tmp", mode=0)
-        fleet.load_model(path="/tmp", mode=1)
+        fleet.load_model(path=temp_dir.name, mode=0)
+        fleet.load_model(path=temp_dir.name, mode=1)
+        temp_dir.cleanup()
 
 
 if __name__ == "__main__":

python/paddle/fluid/tests/unittests/test_fleet_elastic_collective.py

@@ -33,12 +33,15 @@ print("test")
 
 class TestCollectiveLauncher(unittest.TestCase):
     def setUp(self):
-        file_dir = os.path.dirname(os.path.abspath(__file__))
-
-        self.code_path = os.path.join(file_dir, "fake_python_for_elastic.py")
+        self.temp_dir = tempfile.TemporaryDirectory()
+        self.code_path = os.path.join(self.temp_dir.name,
+                                      "fake_python_for_elastic.py")
         with open(self.code_path, "w") as f:
             f.write(fake_python_code)
 
+    def tearDown(self):
+        self.temp_dir.cleanup()
+
     def test_launch(self):
         class Argument:
             elastic_server = "127.0.0.1:2379"
@@ -56,7 +59,7 @@ class TestCollectiveLauncher(unittest.TestCase):
             run_mode = "cpuonly"
             servers = None
             rank_mapping_path = None
-            training_script = "fake_python_for_elastic.py"
+            training_script = self.code_path
             training_script_args = ["--use_amp false"]
             log_dir = None
 
@@ -94,7 +97,7 @@ class TestCollectiveLauncher(unittest.TestCase):
             run_mode = "cpuonly"
             servers = None
             rank_mapping_path = None
-            training_script = "fake_python_for_elastic.py"
+            training_script = self.code_path
             training_script_args = ["--use_amp false"]
             log_dir = None
 

python/paddle/fluid/tests/unittests/test_fleet_exe_dist_model_run.py

@@ -16,17 +16,25 @@ import unittest
 import paddle
 import numpy as np
 import os
+import tempfile
 from paddle.fluid import core
 
 paddle.enable_static()
 
 
 class TestDistModelRun(unittest.TestCase):
+    def setUp(self):
+        self.temp_dir = tempfile.TemporaryDirectory()
+
+    def tearDown(self):
+        # step 6: clean up the env, delete the saved model and params
+        print('cleaned up the env')
+        self.temp_dir.cleanup()
+
     def test_dist_model_run(self):
         # step 0: declare folder to save the model and params
-        folder = './dist_model_run_test/'
-        file = 'inf'
-        path_prefix = folder + file
+        path_prefix = os.path.join(self.temp_dir.name,
+                                   "dist_model_run_test/inf")
 
         # step 1: saving the inference model and params
         x = paddle.static.data(name='x', shape=[28, 28], dtype='float32')
@@ -75,12 +83,6 @@ class TestDistModelRun(unittest.TestCase):
         # step 5: compare two results
         self.assertTrue(np.allclose(dist_model_rst, load_inference_model_rst))
 
-        # step 6: clean up the env, delete the saved model and params
-        os.remove(path_prefix + '.pdiparams')
-        os.remove(path_prefix + '.pdmodel')
-        os.rmdir(folder)
-        print('cleaned up the env')
-
 
 if __name__ == '__main__':
     unittest.main()

python/paddle/fluid/tests/unittests/test_fleet_rolemaker_2.py

@@ -17,6 +17,7 @@ from __future__ import print_function
 import paddle
 import os
 import unittest
+import tempfile
 
 import paddle.fluid.incubate.fleet.base.role_maker as role_maker
 
@@ -28,7 +29,10 @@ class TestCloudRoleMaker2(unittest.TestCase):
 
     def setUp(self):
         """Set up, set envs."""
-        pass
+        self.temp_dir = tempfile.TemporaryDirectory()
+
+    def tearDown(self):
+        self.temp_dir.cleanup()
 
     def test_pslib_2(self):
         """Test cases for pslib."""
@@ -37,6 +41,8 @@ class TestCloudRoleMaker2(unittest.TestCase):
         from paddle.fluid.incubate.fleet.base.role_maker import GeneralRoleMaker
         from paddle.fluid.incubate.fleet.base.role_maker import RoleMakerBase
 
+        paddle.enable_static()
+
         os.environ["POD_IP"] = "127.0.0.1"
         os.environ["PADDLE_PORT"] = "36001"
         os.environ["TRAINING_ROLE"] = "TRAINER"
@@ -155,17 +161,19 @@ class TestCloudRoleMaker2(unittest.TestCase):
         role23 = GeneralRoleMaker(path="./test_gloo_23")
         role23._get_size()
         role23._get_size()
-        with open("test_fleet_gloo_role_maker_1.txt", "w") as f:
+
+        path = os.path.join(self.temp_dir.name,
+                            "test_fleet_gloo_role_maker_1.txt")
+        with open(path, "w") as f:
             data = "1 1 1 1\n"
             f.write(data)
 
         dataset = paddle.distributed.InMemoryDataset()
-        dataset.set_filelist(["test_fleet_gloo_role_maker_1.txt"])
+        dataset.set_filelist([path])
         dataset._set_use_var([show, label])
         dataset.load_into_memory()
         dataset.get_memory_data_size(fleet)
         dataset.get_shuffle_data_size(fleet)
-        os.remove("./test_fleet_gloo_role_maker_1.txt")
 
         class TmpClass():
             """

python/paddle/fluid/tests/unittests/test_monitor.py

@@ -24,6 +24,7 @@ import paddle.fluid.core as core
 import numpy as np
 import os
 import unittest
+import tempfile
 
 
 class TestDatasetWithStat(unittest.TestCase):
@@ -35,12 +36,15 @@ class TestDatasetWithStat(unittest.TestCase):
         self.drop_last = False
 
     def test_dataset_run_with_stat(self):
-        with open("test_in_memory_dataset_run_a.txt", "w") as f:
+        temp_dir = tempfile.TemporaryDirectory()
+        path_a = os.path.join(temp_dir.name, "test_in_memory_dataset_run_a.txt")
+        path_b = os.path.join(temp_dir.name, "test_in_memory_dataset_run_b.txt")
+        with open(path_a, "w") as f:
             data = "1 1 2 3 3 4 5 5 5 5 1 1\n"
             data += "1 2 2 3 4 4 6 6 6 6 1 2\n"
             data += "1 3 2 3 5 4 7 7 7 7 1 3\n"
             f.write(data)
-        with open("test_in_memory_dataset_run_b.txt", "w") as f:
+        with open(path_b, "w") as f:
             data = "1 4 2 3 3 4 5 5 5 5 1 4\n"
             data += "1 5 2 3 4 4 6 6 6 6 1 5\n"
             data += "1 6 2 3 5 4 7 7 7 7 1 6\n"
@@ -62,10 +66,7 @@ class TestDatasetWithStat(unittest.TestCase):
         dataset = paddle.distributed.InMemoryDataset()
         dataset._set_batch_size(32)
         dataset._set_thread(3)
-        dataset.set_filelist([
-            "test_in_memory_dataset_run_a.txt",
-            "test_in_memory_dataset_run_b.txt"
-        ])
+        dataset.set_filelist([path_a, path_b])
         dataset._set_pipe_command("cat")
         dataset._set_use_var(slots_vars)
         dataset.load_into_memory()
@@ -99,8 +100,7 @@ class TestDatasetWithStat(unittest.TestCase):
         # total 56 keys
         print(int_stat["STAT_total_feasign_num_in_mem"])
 
-        os.remove("./test_in_memory_dataset_run_a.txt")
-        os.remove("./test_in_memory_dataset_run_b.txt")
+        temp_dir.cleanup()
 
 
 if __name__ == '__main__':

python/paddle/fluid/tests/unittests/test_run.py

@@ -17,6 +17,7 @@ import subprocess
 import sys, os
 import json
 import shutil
+import tempfile
 
 import random
 
@@ -57,13 +58,18 @@ def get_files(pth, prefix):
 
 class Collective_Test(unittest.TestCase):
     def setUp(self):
-        write_file(pyname, colpyfile)
+        self.temp_dir = tempfile.TemporaryDirectory()
+        self.path = os.path.join(self.temp_dir.name, pyname)
+        write_file(self.path, colpyfile)
+
+    def tearDown(self):
+        self.temp_dir.cleanup()
 
     def pdrun(self, args, env=None):
         cmd = [sys.executable.split('/')[-1], "-m", "paddle.distributed.launch"]
         if args:
             cmd.extend(args.split(" "))
-        cmd.extend([pyname])
+        cmd.extend([self.path])
         env = os.environ.copy()
         # virtual devies for testing
         env.update({'CUDA_VISIBLE_DEVICES': '0,1,2,3,4,5,6,7'})
@@ -71,30 +77,30 @@ class Collective_Test(unittest.TestCase):
         return proc
 
     def test_collective_1(self):
-        args = "--job_id test1"
+        log_dir = tempfile.TemporaryDirectory()
+        args = "--job_id test1 --log_dir {}".format(log_dir.name)
         p = self.pdrun(args)
         p.wait()
         self.assertTrue(p.poll() == 0)
+        log_dir.cleanup()
 
     def test_collective_2(self):
-        if os.path.exists('./log'):
-            shutil.rmtree('./log')
-
-        args = "--job_id test2 --devices 0,1,2"
+        log_dir = tempfile.TemporaryDirectory()
+        args = "--job_id test2 --devices 0,1,2 --log_dir {}".format(
+            log_dir.name)
         p = self.pdrun(args)
         p.wait()
         self.assertTrue(p.poll() == 0)
 
-        c = get_files('log', 'test2')
+        c = get_files(log_dir.name, 'test2')
         self.assertTrue(len(c) == 4)
+        log_dir.cleanup()
 
     def test_collective_3(self):
-        if os.path.exists('./log'):
-            shutil.rmtree('./log')
-
+        log_dir = tempfile.TemporaryDirectory()
         port = random.randrange(6000, 8000)
-        args = "--job_id test3 --devices 0,1 --master 127.0.0.1:{} --np 2".format(
-            port)
+        args = "--job_id test3 --devices 0,1 --log_dir {} --master 127.0.0.1:{} --nnodes 2".format(
+            log_dir.name, port)
         p1 = self.pdrun(args)
         p2 = self.pdrun(args)
         p1.wait()
@@ -102,47 +108,53 @@ class Collective_Test(unittest.TestCase):
         self.assertTrue(p1.poll() == 0)
         self.assertTrue(p2.poll() == 0)
 
-        c = get_files('log', 'test3')
+        c = get_files(log_dir.name, 'test3')
         self.assertTrue(len(c) == 6)
+        log_dir.cleanup()
 
 
 class PS_Test(unittest.TestCase):
     def setUp(self):
-        write_file(pyname, pspyfile)
+        self.temp_dir = tempfile.TemporaryDirectory()
+        self.path = os.path.join(self.temp_dir.name, pyname)
+        write_file(self.path, pspyfile)
+
+    def tearDown(self):
+        self.temp_dir.cleanup()
 
     def pdrun(self, args, env=None):
         cmd = [sys.executable.split('/')[-1], "-m", "paddle.distributed.launch"]
         if args:
             cmd.extend(args.split(" "))
-        cmd.extend([pyname])
+        cmd.extend([self.path])
         proc = subprocess.Popen(cmd, env)
         return proc
 
     def test_ps_1(self):
-        args = "--run_mode ps"
+        log_dir = tempfile.TemporaryDirectory()
+        args = "--run_mode ps --log_dir {}".format(log_dir.name)
         p = self.pdrun(args)
         p.wait()
         self.assertTrue(p.poll() == 0)
+        log_dir.cleanup()
 
     def test_ps_2(self):
-        if os.path.exists('./log'):
-            shutil.rmtree('./log')
-
-        args = "--job_id ps2 --server_num=2 --trainer_num=2"
+        log_dir = tempfile.TemporaryDirectory()
+        args = "--job_id ps2 --server_num=2 --trainer_num=2 --log_dir {}".format(
+            log_dir.name)
         p = self.pdrun(args)
         p.wait()
         self.assertTrue(p.poll() == 0)
 
-        c = get_files('log', 'ps2')
+        c = get_files(log_dir.name, 'ps2')
         self.assertTrue(len(c) == 5)
+        log_dir.cleanup()
 
     def test_ps_3(self):
-        if os.path.exists('./log'):
-            shutil.rmtree('./log')
-
+        log_dir = tempfile.TemporaryDirectory()
         port = random.randrange(6000, 8000)
-        args = "--job_id ps3 --master 127.0.0.1:{} --np 2 --server_num=1 --trainer_num=1".format(
-            port)
+        args = "--job_id ps3 --log_dir {} --master 127.0.0.1:{} --nnodes 2 --server_num=1 --trainer_num=1".format(
+            log_dir.name, port)
         p1 = self.pdrun(args)
         p2 = self.pdrun(args)
         p1.wait()
@@ -150,20 +162,21 @@ class PS_Test(unittest.TestCase):
         self.assertTrue(p1.poll() == 0)
         self.assertTrue(p2.poll() == 0)
 
-        c = get_files('log', 'ps3')
+        c = get_files(log_dir.name, 'ps3')
         self.assertTrue(len(c) == 6)
+        log_dir.cleanup()
 
     def test_ps_4(self):
-        if os.path.exists('./log'):
-            shutil.rmtree('./log')
-
-        args = "--job_id ps4 --servers 127.0.0.1:8900,127.0.0.1:8901 --trainers 127.0.0.1:8902,127.0.0.1:8903"
+        log_dir = tempfile.TemporaryDirectory()
+        args = "--job_id ps4 --log_dir {} --servers 127.0.0.1:8900,127.0.0.1:8901 --trainers 127.0.0.1:8902,127.0.0.1:8903".format(
+            log_dir.name)
         p1 = self.pdrun(args)
         p1.wait()
         self.assertTrue(p1.poll() == 0)
 
-        c = get_files('log', 'ps4')
+        c = get_files(log_dir.name, 'ps4')
         self.assertTrue(len(c) == 5)
+        log_dir.cleanup()
 
 
 if __name__ == '__main__':