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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/depth_anything/test_modeling_depth_anything.py
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@@ -267,7 +267,7 @@ class DepthAnythingModelIntegrationTest(unittest.TestCase):
[[8.8223, 8.6483, 8.6216], [8.3332, 8.6047, 8.7545], [8.6547, 8.6885, 8.7472]],
).to(torch_device)
self.assertTrue(torch.allclose(predicted_depth[0, :3, :3], expected_slice, atol=1e-6))
torch.testing.assert_close(predicted_depth[0, :3, :3], expected_slice, rtol=1e-6, atol=1e-6)
# -- `metric` depth model --
image_processor = DPTImageProcessor.from_pretrained("depth-anything/depth-anything-V2-metric-indoor-small-hf")
@@ -290,7 +290,7 @@ class DepthAnythingModelIntegrationTest(unittest.TestCase):
[[1.3349, 1.2947, 1.2802], [1.2794, 1.2338, 1.2901], [1.2630, 1.2219, 1.2478]],
).to(torch_device)
self.assertTrue(torch.allclose(predicted_depth[0, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(predicted_depth[0, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)
def test_export(self):
for strict in [True, False]: