wrap forward passes with torch.no_grad() (#19279)

tests/models/deit/test_modeling_deit.py

@@ -384,6 +384,7 @@ class DeiTModelIntegrationTest(unittest.TestCase):
         inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device)
 
         # forward pass
+        with torch.no_grad():
             outputs = model(**inputs)
 
         # verify the logits