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Update expected values in XLMProphetNetModelIntegrationTest (#21957)

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update values

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-03-06 09:15:44 +01:00
committed by GitHub
parent 699a2293cc
commit fcf813417a
1 changed files with 2 additions and 2 deletions
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4
tests/models/xlm_prophetnet/test_modeling_xlm_prophetnet.py
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@@ -45,7 +45,7 @@ class XLMProphetNetModelIntegrationTest(unittest.TestCase):
expected_shape = torch.Size((1, 14, 250012))
self.assertEqual(output_predited_logis.shape, expected_shape)
expected_slice = torch.tensor(
[[[-6.6042, -8.3838, 12.4717], [-6.4426, -8.1994, 12.4542], [-6.0851, -7.8209, 12.9493]]]
[[[-6.3986, -8.2391, 12.5189], [-6.3289, -8.0864, 12.6211], [-6.2418, -8.0445, 12.7968]]]
).to(torch_device)
self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3], expected_slice, atol=1e-4))
@@ -87,7 +87,7 @@ class XLMProphetNetModelIntegrationTest(unittest.TestCase):
self.assertEqual(output_predited_logis.shape, expected_shape)
# compare the actual values for a slice.
expected_slice = torch.tensor(
[[[-8.8815, -9.2996, -4.4506], [-6.7202, -7.8944, -0.9402], [-8.6890, -7.4528, -1.9437]]]
[[[-9.2253, -9.7173, -6.3529], [-7.6701, -9.0145, -1.9382], [-8.0195, -7.0004, -0.1523]]]
).to(torch_device)
self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3], expected_slice, atol=1e-4))