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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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12
tests/models/funnel/test_modeling_funnel.py
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@@ -501,16 +501,16 @@ class FunnelModelIntegrationTest(unittest.TestCase):
expected_output_sum = torch.tensor(2344.8352)
expected_output_mean = torch.tensor(0.8052)
self.assertTrue(torch.allclose(output.sum(), expected_output_sum, atol=1e-4))
self.assertTrue(torch.allclose(output.mean(), expected_output_mean, atol=1e-4))
torch.testing.assert_close(output.sum(), expected_output_sum, rtol=1e-4, atol=1e-4)
torch.testing.assert_close(output.mean(), expected_output_mean, rtol=1e-4, atol=1e-4)
attention_mask = torch.tensor([[1] * 7, [1] * 4 + [0] * 3] * 6 + [[0, 1, 1, 0, 0, 1, 1]])
output = model(input_ids, attention_mask=attention_mask, token_type_ids=token_type_ids)[0].abs()
expected_output_sum = torch.tensor(2343.8425)
expected_output_mean = torch.tensor(0.8049)
self.assertTrue(torch.allclose(output.sum(), expected_output_sum, atol=1e-4))
self.assertTrue(torch.allclose(output.mean(), expected_output_mean, atol=1e-4))
torch.testing.assert_close(output.sum(), expected_output_sum, rtol=1e-4, atol=1e-4)
torch.testing.assert_close(output.mean(), expected_output_mean, rtol=1e-4, atol=1e-4)
@slow
def test_inference_model(self):
@@ -521,5 +521,5 @@ class FunnelModelIntegrationTest(unittest.TestCase):
expected_output_sum = torch.tensor(235.7246)
expected_output_mean = torch.tensor(0.0256)
self.assertTrue(torch.allclose(output.sum(), expected_output_sum, atol=1e-4))
self.assertTrue(torch.allclose(output.mean(), expected_output_mean, atol=1e-4))
torch.testing.assert_close(output.sum(), expected_output_sum, rtol=1e-4, atol=1e-4)
torch.testing.assert_close(output.mean(), expected_output_mean, rtol=1e-4, atol=1e-4)