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use torch.testing.assertclose instead to get more details about error in cis (#35659)

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* use torch.testing.assertclose instead to get more details about error in cis

* fix

* style

* test_all

* revert for I bert

* fixes and updates

* more image processing fixes

* more image processors

* fix mamba and co

* style

* less strick

* ok I won't be strict

* skip and be done

* up
This commit is contained in:
Arthur
2025-01-24 16:55:28 +01:00
committed by GitHub
parent 72d1a4cd53
commit b912f5ee43
255 changed files with 1048 additions and 969 deletions
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10
tests/models/visual_bert/test_modeling_visual_bert.py
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@@ -605,14 +605,14 @@ class VisualBertModelIntegrationTest(unittest.TestCase):
[[[-5.1858, -5.1903, -4.9142], [-6.2214, -5.9238, -5.8381], [-6.3027, -5.9939, -5.9297]]]
)
self.assertTrue(torch.allclose(output.prediction_logits[:, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(output.prediction_logits[:, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)
expected_shape_2 = torch.Size((1, 2))
self.assertEqual(output.seq_relationship_logits.shape, expected_shape_2)
expected_slice_2 = torch.tensor([[0.7393, 0.1754]])
self.assertTrue(torch.allclose(output.seq_relationship_logits, expected_slice_2, atol=1e-4))
torch.testing.assert_close(output.seq_relationship_logits, expected_slice_2, rtol=1e-4, atol=1e-4)
@slow
def test_inference_vqa(self):
@@ -644,7 +644,7 @@ class VisualBertModelIntegrationTest(unittest.TestCase):
[[-8.9898, 3.0803, -1.8016, 2.4542, -8.3420, -2.0224, -3.3124, -4.4139, -3.1491, -3.8997]]
)
self.assertTrue(torch.allclose(output.logits[:, :10], expected_slice, atol=1e-4))
torch.testing.assert_close(output.logits[:, :10], expected_slice, rtol=1e-4, atol=1e-4)
@slow
def test_inference_nlvr(self):
@@ -674,7 +674,7 @@ class VisualBertModelIntegrationTest(unittest.TestCase):
expected_slice = torch.tensor([[-1.1436, 0.8900]])
self.assertTrue(torch.allclose(output.logits, expected_slice, atol=1e-4))
torch.testing.assert_close(output.logits, expected_slice, rtol=1e-4, atol=1e-4)
@slow
def test_inference_vcr(self):
@@ -705,4 +705,4 @@ class VisualBertModelIntegrationTest(unittest.TestCase):
expected_slice = torch.tensor([[-7.7697, -7.7697, -7.7697, -7.7697]])
self.assertTrue(torch.allclose(output.logits, expected_slice, atol=1e-4))
torch.testing.assert_close(output.logits, expected_slice, rtol=1e-4, atol=1e-4)