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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/canine/test_modeling_canine.py
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@@ -562,7 +562,7 @@ class CanineModelIntegrationTest(unittest.TestCase):
]
)
self.assertTrue(torch.allclose(outputs.last_hidden_state[0, :3, :3], expected_slice, atol=1e-2))
torch.testing.assert_close(outputs.last_hidden_state[0, :3, :3], expected_slice, rtol=1e-2, atol=1e-2)
# verify pooled output
expected_shape = torch.Size((1, 768))
@@ -570,4 +570,4 @@ class CanineModelIntegrationTest(unittest.TestCase):
expected_slice = torch.tensor([-0.884311497, -0.529064834, 0.723164916])
self.assertTrue(torch.allclose(outputs.pooler_output[0, :3], expected_slice, atol=1e-2))
torch.testing.assert_close(outputs.pooler_output[0, :3], expected_slice, rtol=1e-2, atol=1e-2)