Add 'with torch.no_grad()' to BEiT integration test forward passes (#14961)

* Add 'with torch.no_grad()' to BEiT integration test forward pass

* Fix inconsistent use of tabs and spaces in indentation

tests/test_modeling_beit.py

@@ -435,6 +435,7 @@ class BeitModelIntegrationTest(unittest.TestCase):
         bool_masked_pos = torch.ones((1, 196), dtype=torch.bool).to(torch_device)
 
         # forward pass
+        with torch.no_grad():
             outputs = model(pixel_values=pixel_values, bool_masked_pos=bool_masked_pos)
         logits = outputs.logits
 
@@ -457,6 +458,7 @@ class BeitModelIntegrationTest(unittest.TestCase):
         inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device)
 
         # forward pass
+        with torch.no_grad():
             outputs = model(**inputs)
         logits = outputs.logits
 
@@ -482,6 +484,7 @@ class BeitModelIntegrationTest(unittest.TestCase):
         inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device)
 
         # forward pass
+        with torch.no_grad():
             outputs = model(**inputs)
         logits = outputs.logits
 
@@ -508,6 +511,7 @@ class BeitModelIntegrationTest(unittest.TestCase):
         inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device)
 
         # forward pass
+        with torch.no_grad():
             outputs = model(**inputs)
         logits = outputs.logits