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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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12
tests/models/vitpose/test_modeling_vitpose.py
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@@ -275,9 +275,9 @@ class VitPoseModelIntegrationTest(unittest.TestCase):
expected_scores = torch.tensor([8.7529e-01, 8.4315e-01, 9.2678e-01])
self.assertEqual(len(pose_results), 2)
self.assertTrue(torch.allclose(pose_results[1]["bbox"].cpu(), expected_bbox, atol=1e-4))
self.assertTrue(torch.allclose(pose_results[1]["keypoints"][:3].cpu(), expected_keypoints, atol=1e-2))
self.assertTrue(torch.allclose(pose_results[1]["scores"][:3].cpu(), expected_scores, atol=1e-4))
torch.testing.assert_close(pose_results[1]["bbox"].cpu(), expected_bbox, rtol=1e-4, atol=1e-4)
torch.testing.assert_close(pose_results[1]["keypoints"][:3].cpu(), expected_keypoints, rtol=1e-2, atol=1e-2)
torch.testing.assert_close(pose_results[1]["scores"][:3].cpu(), expected_scores, rtol=1e-4, atol=1e-4)
@slow
def test_batched_inference(self):
@@ -323,6 +323,6 @@ class VitPoseModelIntegrationTest(unittest.TestCase):
self.assertEqual(len(pose_results), 2)
self.assertEqual(len(pose_results[0]), 2)
self.assertTrue(torch.allclose(pose_results[0][1]["bbox"].cpu(), expected_bbox, atol=1e-4))
self.assertTrue(torch.allclose(pose_results[0][1]["keypoints"][:3].cpu(), expected_keypoints, atol=1e-2))
self.assertTrue(torch.allclose(pose_results[0][1]["scores"][:3].cpu(), expected_scores, atol=1e-4))
torch.testing.assert_close(pose_results[0][1]["bbox"].cpu(), expected_bbox, rtol=1e-4, atol=1e-4)
torch.testing.assert_close(pose_results[0][1]["keypoints"][:3].cpu(), expected_keypoints, rtol=1e-2, atol=1e-2)
torch.testing.assert_close(pose_results[0][1]["scores"][:3].cpu(), expected_scores, rtol=1e-4, atol=1e-4)