wrap forward passes with torch.no_grad() (#19274)

2022-10-04 19:42:03 +05:30
parent 2403dbd607
commit d6e920449e
1 changed files with 2 additions and 1 deletions
--- a/tests/models/convbert/test_modeling_convbert.py
+++ b/tests/models/convbert/test_modeling_convbert.py
@@ -444,7 +444,8 @@ class ConvBertModelIntegrationTest(unittest.TestCase):
    def test_inference_no_head(self):
        model = ConvBertModel.from_pretrained("YituTech/conv-bert-base")
        input_ids = torch.tensor([[1, 2, 3, 4, 5, 6]])
-        output = model(input_ids)[0]
+        with torch.no_grad():
+            output = model(input_ids)[0]

        expected_shape = torch.Size((1, 6, 768))
        self.assertEqual(output.shape, expected_shape)