Add 'with torch.no_grad()' to integration test forward pass (#14821)

2021-12-20 15:25:34 +01:00
parent 952a77b05d
commit b37cf7dee4
1 changed files with 2 additions and 1 deletions
--- a/tests/test_modeling_deberta.py
+++ b/tests/test_modeling_deberta.py
@@ -275,6 +275,7 @@ class DebertaModelIntegrationTest(unittest.TestCase):

        input_ids = torch.tensor([[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]])
        attention_mask = torch.tensor([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])
+        with torch.no_grad():
            output = model(input_ids, attention_mask=attention_mask)[0]
        # compare the actual values for a slice.
        expected_slice = torch.tensor(