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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/longt5/test_modeling_longt5.py
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@@ -1362,8 +1362,10 @@ class LongT5ModelIntegrationTests(unittest.TestCase):
# check if encoder_outputs match
expected_output_slice = torch.tensor([0.0629, -0.1294, -0.0089, 0.0772, 0.0663], device=torch_device)
self.assertTrue(torch.allclose(output.encoder_hidden_states[-1][0, 0, :5], expected_output_slice, atol=1e-4))
torch.testing.assert_close(
output.encoder_hidden_states[-1][0, 0, :5], expected_output_slice, rtol=1e-4, atol=1e-4
)
# check if logits match
expected_output_slice = torch.tensor([5.5231, 6.1058, 3.1766, 8.2391, -5.9453], device=torch_device)
self.assertTrue(torch.allclose(output.logits[0, 0, :5], expected_output_slice, atol=1e-4))
torch.testing.assert_close(output.logits[0, 0, :5], expected_output_slice, rtol=1e-4, atol=1e-4)