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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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8
tests/models/beit/test_modeling_beit.py
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@@ -634,7 +634,7 @@ class BeitModelIntegrationTest(unittest.TestCase):
[[-3.2437, 0.5072, -13.9174], [-3.2456, 0.4948, -13.9401], [-3.2033, 0.5121, -13.8550]]
).to(torch_device)
self.assertTrue(torch.allclose(logits[bool_masked_pos][:3, :3], expected_slice, atol=1e-2))
torch.testing.assert_close(logits[bool_masked_pos][:3, :3], expected_slice, rtol=1e-2, atol=1e-2)
@slow
def test_inference_image_classification_head_imagenet_1k(self):
@@ -655,7 +655,7 @@ class BeitModelIntegrationTest(unittest.TestCase):
expected_slice = torch.tensor([-1.2385, -1.0987, -1.0108]).to(torch_device)
self.assertTrue(torch.allclose(logits[0, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(logits[0, :3], expected_slice, rtol=1e-4, atol=1e-4)
expected_class_idx = 281
self.assertEqual(logits.argmax(-1).item(), expected_class_idx)
@@ -681,7 +681,7 @@ class BeitModelIntegrationTest(unittest.TestCase):
expected_slice = torch.tensor([1.6881, -0.2787, 0.5901]).to(torch_device)
self.assertTrue(torch.allclose(logits[0, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(logits[0, :3], expected_slice, rtol=1e-4, atol=1e-4)
expected_class_idx = 2396
self.assertEqual(logits.argmax(-1).item(), expected_class_idx)
@@ -727,7 +727,7 @@ class BeitModelIntegrationTest(unittest.TestCase):
device=torch_device,
)
self.assertTrue(torch.allclose(logits[0, :3, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(logits[0, :3, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)
@slow
def test_post_processing_semantic_segmentation(self):