reset deterministic in tearDownClass (#11785)

* reset deterministic in tearDownClass
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix deterministic setting
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

---------
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

tests/quantization/bnb/test_4bit.py

@@ -98,7 +98,14 @@ class Base4bitTests(unittest.TestCase):
 
     @classmethod
     def setUpClass(cls):
-        torch.use_deterministic_algorithms(True)
+        cls.is_deterministic_enabled = torch.are_deterministic_algorithms_enabled()
+        if not cls.is_deterministic_enabled:
+            torch.use_deterministic_algorithms(True)
+
+    @classmethod
+    def tearDownClass(cls):
+        if not cls.is_deterministic_enabled:
+            torch.use_deterministic_algorithms(False)
 
     def get_dummy_inputs(self):
         prompt_embeds = load_pt(

tests/quantization/bnb/test_mixed_int8.py

@@ -99,7 +99,14 @@ class Base8bitTests(unittest.TestCase):
 
     @classmethod
     def setUpClass(cls):
-        torch.use_deterministic_algorithms(True)
+        cls.is_deterministic_enabled = torch.are_deterministic_algorithms_enabled()
+        if not cls.is_deterministic_enabled:
+            torch.use_deterministic_algorithms(True)
+
+    @classmethod
+    def tearDownClass(cls):
+        if not cls.is_deterministic_enabled:
+            torch.use_deterministic_algorithms(False)
 
     def get_dummy_inputs(self):
         prompt_embeds = load_pt(