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Fix integration slow tests (#10670)

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* PoC

* Fix slow tests for the PT1.8 Embedding problem
This commit is contained in:
Sylvain Gugger
2021-03-11 13:43:53 -05:00
committed by GitHub
parent 3ab6820370
commit fda703a553
9 changed files with 47 additions and 55 deletions
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8
tests/test_modeling_convbert.py
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@@ -416,18 +416,16 @@ class ConvBertModelTest(ModelTesterMixin, unittest.TestCase):
@require_torch
class ConvBertModelIntegrationTest(unittest.TestCase):
@slow
def test_inference_masked_lm(self):
def test_inference_no_head(self):
model = ConvBertModel.from_pretrained("YituTech/conv-bert-base")
input_ids = torch.tensor([[0, 1, 2, 3, 4, 5]])
input_ids = torch.tensor([[1, 2, 3, 4, 5, 6]])
output = model(input_ids)[0]
print(output[:, :3, :3])
expected_shape = torch.Size((1, 6, 768))
self.assertEqual(output.shape, expected_shape)
# TODO Replace values below with what was printed above.
expected_slice = torch.tensor(
[[[-0.0348, -0.4686, -0.3064], [0.2264, -0.2699, -0.7423], [0.1032, -0.4501, -0.5828]]]
[[[-0.0864, -0.4898, -0.3677], [0.1434, -0.2952, -0.7640], [-0.0112, -0.4432, -0.5432]]]
)
self.assertTrue(torch.allclose(output[:, :3, :3], expected_slice, atol=1e-4))