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

2022-10-04 19:38:29 +05:30
parent cd024da6f8
commit f134d38553
1 changed files with 2 additions and 1 deletions
--- a/tests/models/deit/test_modeling_deit.py
+++ b/tests/models/deit/test_modeling_deit.py
@@ -384,7 +384,8 @@ class DeiTModelIntegrationTest(unittest.TestCase):
        inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device)

        # forward pass
-        outputs = model(**inputs)
+        with torch.no_grad():
+            outputs = model(**inputs)

        # verify the logits
        expected_shape = torch.Size((1, 1000))