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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/siglip/test_modeling_siglip.py
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@@ -1014,12 +1014,12 @@ class SiglipModelIntegrationTest(unittest.TestCase):
expected_logits = torch.tensor([[-0.7567, -10.3354]], device=torch_device)
self.assertTrue(torch.allclose(outputs.logits_per_image, expected_logits, atol=1e-3))
torch.testing.assert_close(outputs.logits_per_image, expected_logits, rtol=1e-3, atol=1e-3)
# verify the probs
probs = torch.sigmoid(logits_per_image) # these are the probabilities
expected_probs = torch.tensor([[3.1937e-01, 3.2463e-05]], device=torch_device)
self.assertTrue(torch.allclose(probs, expected_probs, atol=1e-3))
torch.testing.assert_close(probs, expected_probs, rtol=1e-3, atol=1e-3)
@slow
def test_inference_interpolate_pos_encoding(self):