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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/xlm_roberta/test_modeling_xlm_roberta.py
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@@ -53,7 +53,7 @@ class XLMRobertaModelIntegrationTest(unittest.TestCase):
output = model(input_ids)["last_hidden_state"].detach()
self.assertEqual(output.shape, expected_output_shape)
# compare the actual values for a slice of last dim
self.assertTrue(torch.allclose(output[:, :, -1], expected_output_values_last_dim, atol=1e-3))
torch.testing.assert_close(output[:, :, -1], expected_output_values_last_dim, rtol=1e-3, atol=1e-3)
@require_torch_sdpa
def test_xlm_roberta_base_sdpa(self):
@@ -70,7 +70,7 @@ class XLMRobertaModelIntegrationTest(unittest.TestCase):
output = model(input_ids)["last_hidden_state"].detach()
self.assertEqual(output.shape, expected_output_shape)
# compare the actual values for a slice of last dim
self.assertTrue(torch.allclose(output[:, :, -1], expected_output_values_last_dim, atol=1e-3))
torch.testing.assert_close(output[:, :, -1], expected_output_values_last_dim, rtol=1e-3, atol=1e-3)
@slow
def test_xlm_roberta_large(self):
@@ -89,4 +89,4 @@ class XLMRobertaModelIntegrationTest(unittest.TestCase):
output = model(input_ids)["last_hidden_state"].detach()
self.assertEqual(output.shape, expected_output_shape)
# compare the actual values for a slice of last dim
self.assertTrue(torch.allclose(output[:, :, -1], expected_output_values_last_dim, atol=1e-3))
torch.testing.assert_close(output[:, :, -1], expected_output_values_last_dim, rtol=1e-3, atol=1e-3)