Use hash to clean the test dirs (#6475)

* Use hash to clean the test dirs

* Use hash to clean the test dirs

* Use hash to clean the test dirs

* fix

examples/bert-loses-patience/test_run_glue_with_pabee.py

@@ -20,7 +20,7 @@ def get_setup_file():
     return args.f
 
 
-def clean_test_dir(path="./tests/fixtures/tests_samples/temp_dir"):
+def clean_test_dir(path):
     shutil.rmtree(path, ignore_errors=True)
 
 
@@ -37,7 +37,6 @@ class PabeeTests(unittest.TestCase):
             --task_name mrpc
             --do_train
             --do_eval
-            --output_dir ./tests/fixtures/tests_samples/temp_dir
             --per_gpu_train_batch_size=2
             --per_gpu_eval_batch_size=1
             --learning_rate=2e-5
@@ -46,10 +45,13 @@ class PabeeTests(unittest.TestCase):
             --overwrite_output_dir
             --seed=42
             --max_seq_length=128
-            """.split()
+            """
+        output_dir = "./tests/fixtures/tests_samples/temp_dir_{}".format(hash(testargs))
+        testargs += "--output_dir " + output_dir
+        testargs = testargs.split()
         with patch.object(sys, "argv", testargs):
             result = run_glue_with_pabee.main()
             for value in result.values():
                 self.assertGreaterEqual(value, 0.75)
 
-        clean_test_dir()
+        clean_test_dir(output_dir)

examples/test_examples.py

@@ -52,7 +52,7 @@ def get_setup_file():
     return args.f
 
 
-def clean_test_dir(path="./tests/fixtures/tests_samples/temp_dir"):
+def clean_test_dir(path):
     shutil.rmtree(path, ignore_errors=True)
 
 
@@ -68,7 +68,6 @@ class ExamplesTests(unittest.TestCase):
             --task_name mrpc
             --do_train
             --do_eval
-            --output_dir ./tests/fixtures/tests_samples/temp_dir
             --per_device_train_batch_size=2
             --per_device_eval_batch_size=1
             --learning_rate=1e-4
@@ -77,13 +76,16 @@ class ExamplesTests(unittest.TestCase):
             --overwrite_output_dir
             --seed=42
             --max_seq_length=128
-            """.split()
+            """
+        output_dir = "./tests/fixtures/tests_samples/temp_dir_{}".format(hash(testargs))
+        testargs += "--output_dir " + output_dir
+        testargs = testargs.split()
         with patch.object(sys, "argv", testargs):
             result = run_glue.main()
             del result["eval_loss"]
             for value in result.values():
                 self.assertGreaterEqual(value, 0.75)
-        clean_test_dir()
+        clean_test_dir(output_dir)
 
     def test_run_pl_glue(self):
         stream_handler = logging.StreamHandler(sys.stdout)
@@ -96,13 +98,15 @@ class ExamplesTests(unittest.TestCase):
             --task mrpc
             --do_train
             --do_predict
-            --output_dir ./tests/fixtures/tests_samples/temp_dir
             --train_batch_size=32
             --learning_rate=1e-4
             --num_train_epochs=1
             --seed=42
             --max_seq_length=128
-            """.split()
+            """
+        output_dir = "./tests/fixtures/tests_samples/temp_dir_{}".format(hash(testargs))
+        testargs += "--output_dir " + output_dir
+        testargs = testargs.split()
 
         if torch.cuda.is_available():
             testargs += ["--fp16", "--gpus=1"]
@@ -119,7 +123,7 @@ class ExamplesTests(unittest.TestCase):
             #     for k, v in result.items():
             #         self.assertGreaterEqual(v, 0.75, f"({k})")
             #
-        clean_test_dir()
+        clean_test_dir(output_dir)
 
     def test_run_language_modeling(self):
         stream_handler = logging.StreamHandler(sys.stdout)
@@ -133,17 +137,19 @@ class ExamplesTests(unittest.TestCase):
             --line_by_line
             --train_data_file ./tests/fixtures/sample_text.txt
             --eval_data_file ./tests/fixtures/sample_text.txt
-            --output_dir ./tests/fixtures/tests_samples/temp_dir
             --overwrite_output_dir
             --do_train
             --do_eval
             --num_train_epochs=1
             --no_cuda
-            """.split()
+            """
+        output_dir = "./tests/fixtures/tests_samples/temp_dir_{}".format(hash(testargs))
+        testargs += "--output_dir " + output_dir
+        testargs = testargs.split()
         with patch.object(sys, "argv", testargs):
             result = run_language_modeling.main()
             self.assertLess(result["perplexity"], 35)
-        clean_test_dir()
+        clean_test_dir(output_dir)
 
     def test_run_squad(self):
         stream_handler = logging.StreamHandler(sys.stdout)
@@ -154,7 +160,6 @@ class ExamplesTests(unittest.TestCase):
             --model_type=distilbert
             --model_name_or_path=sshleifer/tiny-distilbert-base-cased-distilled-squad
             --data_dir=./tests/fixtures/tests_samples/SQUAD
-            --output_dir=./tests/fixtures/tests_samples/temp_dir
             --max_steps=10
             --warmup_steps=2
             --do_train
@@ -165,12 +170,15 @@ class ExamplesTests(unittest.TestCase):
             --per_gpu_eval_batch_size=1
             --overwrite_output_dir
             --seed=42
-        """.split()
+        """
+        output_dir = "./tests/fixtures/tests_samples/temp_dir_{}".format(hash(testargs))
+        testargs += "--output_dir " + output_dir
+        testargs = testargs.split()
         with patch.object(sys, "argv", testargs):
             result = run_squad.main()
             self.assertGreaterEqual(result["f1"], 25)
             self.assertGreaterEqual(result["exact"], 21)
-        clean_test_dir()
+        clean_test_dir(output_dir)
 
     def test_generation(self):
         stream_handler = logging.StreamHandler(sys.stdout)