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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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4
tests/models/pegasus_x/test_modeling_pegasus_x.py
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@@ -595,7 +595,7 @@ class PegasusXModelIntegrationTests(unittest.TestCase):
[[0.0702, -0.1552, 0.1192], [0.0836, -0.1848, 0.1304], [0.0673, -0.1686, 0.1045]], device=torch_device
)
self.assertTrue(torch.allclose(output[:, :3, :3], expected_slice, atol=TOLERANCE))
torch.testing.assert_close(output[:, :3, :3], expected_slice, rtol=TOLERANCE, atol=TOLERANCE)
def test_inference_head(self):
model = PegasusXForConditionalGeneration.from_pretrained("google/pegasus-x-base").to(torch_device)
@@ -612,7 +612,7 @@ class PegasusXModelIntegrationTests(unittest.TestCase):
expected_slice = torch.tensor(
[[0.0, 9.5705185, 1.5897303], [0.0, 9.833374, 1.5828674], [0.0, 10.429961, 1.5643371]], device=torch_device
)
self.assertTrue(torch.allclose(output[:, :3, :3], expected_slice, atol=TOLERANCE))
torch.testing.assert_close(output[:, :3, :3], expected_slice, rtol=TOLERANCE, atol=TOLERANCE)
def test_seq_to_seq_generation(self):
hf = PegasusXForConditionalGeneration.from_pretrained("google/pegasus-x-base-arxiv").to(torch_device)