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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/flava/test_modeling_flava.py
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@@ -1346,7 +1346,7 @@ class FlavaForPreTrainingIntegrationTest(unittest.TestCase):
)
expected_logits = torch.tensor([[16.1291, 8.4033], [16.1291, 8.4033]], device=torch_device)
self.assertTrue(torch.allclose(outputs.contrastive_logits_per_image, expected_logits, atol=1e-3))
torch.testing.assert_close(outputs.contrastive_logits_per_image, expected_logits, rtol=1e-3, atol=1e-3)
self.assertAlmostEqual(outputs.loss_info.mmm_text.item(), 2.0727925, places=4)
self.assertAlmostEqual(outputs.loss_info.mmm_image.item(), 7.0282096, places=4)
self.assertAlmostEqual(outputs.loss.item(), 11.3792324, places=4)
@@ -1397,7 +1397,7 @@ class FlavaForPreTrainingIntegrationTest(unittest.TestCase):
)
expected_logits = torch.tensor([[16.1291, 8.4033], [16.1291, 8.4033]], device=torch_device)
self.assertTrue(torch.allclose(outputs.contrastive_logits_per_image, expected_logits, atol=1e-3))
torch.testing.assert_close(outputs.contrastive_logits_per_image, expected_logits, rtol=1e-3, atol=1e-3)
self.assertAlmostEqual(outputs.loss_info.mmm_text.item(), 2.0727925, places=4)
self.assertAlmostEqual(outputs.loss_info.mmm_image.item(), 6.8965902, places=4)
self.assertAlmostEqual(outputs.loss.item(), 9.6084213, places=4)