fix random seed

tests/test_modeling_utils.py

@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+
+
 import random
 import tempfile
 import unittest
@@ -30,6 +32,22 @@ global_rng = random.Random()
 torch_device = "cuda" if torch.cuda.is_available() else "cpu"
 
 
+def get_random_generator(seed):
+    seed = 1234
+    random.seed(seed)
+    os.environ[‘PYTHONHASHSEED’] = str(seed)
+    np.random.seed(seed)
+    torch.manual_seed(seed)
+    torch.cuda.manual_seed(seed)
+    torch.cuda.manual_seed_all(seed)
+    torch.backends.cudnn.deterministic = True
+    torch.backends.cudnn.benchmark = False
+    torch.backends.cudnn.enabled = False
+    generator = torch.Generator()
+    return generator
+
+
+
 def parse_flag_from_env(key, default=False):
     try:
         value = os.environ[key]
@@ -113,8 +131,7 @@ class SamplerTesterMixin(unittest.TestCase):
 
     @slow
     def test_sample(self):
-        generator = torch.Generator()
-        generator = generator.manual_seed(6694729458485568)
+        generator = get_random_generator(0)
 
         # 1. Load models
         scheduler = GaussianDDPMScheduler.from_config("fusing/ddpm-lsun-church")
@@ -163,8 +180,7 @@ class SamplerTesterMixin(unittest.TestCase):
 
     def test_sample_fast(self):
         # 1. Load models
-        generator = torch.Generator()
-        generator = generator.manual_seed(6694729458485568)
+        generator = get_random_generator(0)
 
         scheduler = GaussianDDPMScheduler.from_config("fusing/ddpm-lsun-church", timesteps=10)
         model = UNetModel.from_pretrained("fusing/ddpm-lsun-church").to(torch_device)
@@ -214,16 +230,14 @@ class PipelineTesterMixin(unittest.TestCase):
         with tempfile.TemporaryDirectory() as tmpdirname:
             ddpm.save_pretrained(tmpdirname)
             new_ddpm = DDPM.from_pretrained(tmpdirname)
-        
-        generator = torch.Generator()
-        generator = generator.manual_seed(669472945848556)
+
+        generator = torch.manual_seed(0)
 
         image = ddpm(generator=generator)
-        generator = generator.manual_seed(669472945848556)
+        generator = generator.manual_seed(0)
         new_image = new_ddpm(generator=generator)
 
         assert (image - new_image).abs().sum() < 1e-5, "Models don't give the same forward pass"
-    
 
     @slow
     def test_from_pretrained_hub(self):
@@ -235,12 +249,10 @@ class PipelineTesterMixin(unittest.TestCase):
         ddpm.noise_scheduler.num_timesteps = 10
         ddpm_from_hub.noise_scheduler.num_timesteps = 10
 
-
-        generator = torch.Generator(device=torch_device)
-        generator = generator.manual_seed(669472945848556)
+        generator = torch.manual_seed(0)
 
         image = ddpm(generator=generator)
-        generator = generator.manual_seed(669472945848556)
+        generator = generator.manual_seed(0)
         new_image = ddpm_from_hub(generator=generator)
 
         assert (image - new_image).abs().sum() < 1e-5, "Models don't give the same forward pass"