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

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Partho
2022-10-04 19:42:03 +05:30
committed by GitHub
parent 2403dbd607
commit d6e920449e
1 changed files with 2 additions and 1 deletions
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tests/models/convbert/test_modeling_convbert.py
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@@ -444,7 +444,8 @@ class ConvBertModelIntegrationTest(unittest.TestCase):
def test_inference_no_head(self): def test_inference_no_head(self):
model = ConvBertModel.from_pretrained("YituTech/conv-bert-base") model = ConvBertModel.from_pretrained("YituTech/conv-bert-base")
input_ids = torch.tensor([[1, 2, 3, 4, 5, 6]]) 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)) expected_shape = torch.Size((1, 6, 768))
self.assertEqual(output.shape, expected_shape) self.assertEqual(output.shape, expected_shape)