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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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6
tests/models/fnet/test_modeling_fnet.py
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@@ -550,7 +550,7 @@ class FNetModelIntegrationTest(unittest.TestCase):
device=torch_device,
)
self.assertTrue(torch.allclose(output[:, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(output[:, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)
@slow
@require_tokenizers
@@ -592,7 +592,7 @@ class FNetModelIntegrationTest(unittest.TestCase):
expected_slice = torch.tensor([[-0.2234, -0.0226]], device=torch_device)
self.assertTrue(torch.allclose(output, expected_slice, atol=1e-4))
torch.testing.assert_close(output, expected_slice, rtol=1e-4, atol=1e-4)
@slow
def test_inference_model(self):
@@ -610,4 +610,4 @@ class FNetModelIntegrationTest(unittest.TestCase):
[[[4.1541, -0.1051, -0.1667], [-0.9144, 0.2939, -0.0086], [-0.8472, -0.7281, 0.0256]]], device=torch_device
)
self.assertTrue(torch.allclose(output[:, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(output[:, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)