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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/segformer/test_modeling_segformer.py
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@@ -373,7 +373,7 @@ class SegformerModelIntegrationTest(unittest.TestCase):
[[-12.5134, -13.4686, -14.4915], [-12.8669, -14.4343, -14.7758], [-13.2523, -14.5819, -15.0694]],
]
).to(torch_device)
self.assertTrue(torch.allclose(outputs.logits[0, :3, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(outputs.logits[0, :3, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)
@slow
def test_inference_image_segmentation_city(self):
@@ -402,7 +402,7 @@ class SegformerModelIntegrationTest(unittest.TestCase):
[[-3.6456, -3.0209, -1.4203], [-3.0797, -3.1959, -2.0000], [-1.8757, -1.9217, -1.6997]],
]
).to(torch_device)
self.assertTrue(torch.allclose(outputs.logits[0, :3, :3, :3], expected_slice, atol=1e-1))
torch.testing.assert_close(outputs.logits[0, :3, :3, :3], expected_slice, rtol=1e-1, atol=1e-1)
@slow
def test_post_processing_semantic_segmentation(self):