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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/m2m_100/test_modeling_m2m_100.py
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@@ -374,7 +374,7 @@ class M2M100ModelIntegrationTests(unittest.TestCase):
expected_slice = torch.tensor(
[[-0.7780, -0.1676, 0.1038], [-6.7556, -1.3992, 0.0567], [-7.5383, -0.5920, -0.2779]], 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 = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_418M").to(torch_device)
@@ -391,7 +391,7 @@ class M2M100ModelIntegrationTests(unittest.TestCase):
expected_slice = torch.tensor(
[[-1.0448, -1.0411, 3.7992], [-3.2191, -3.2386, -1.3451], [-3.6210, -3.5993, 0.4925]], 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):
model = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_418M").to(torch_device)