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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/jetmoe/test_modeling_jetmoe.py
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@@ -390,10 +390,10 @@ class JetMoeIntegrationTest(unittest.TestCase):
out = model(input_ids).logits.float().cpu()
# Expected mean on dim = -1
EXPECTED_MEAN = torch.tensor([[0.2507, -2.7073, -1.3445, -1.9363, -1.7216, -1.7370, -1.9054, -1.9792]])
torch.testing.assert_close(out.mean(-1), EXPECTED_MEAN, atol=1e-2, rtol=1e-2)
torch.testing.assert_close(out.mean(-1), EXPECTED_MEAN, rtol=1e-2, atol=1e-2)
# slicing logits[0, 0, 0:30]
EXPECTED_SLICE = torch.tensor([-3.3689, 5.9006, 5.7450, -1.7012, -4.7072, -4.7071, -4.7071, -4.7071, -4.7072, -4.7072, -4.7072, -4.7071, 3.8321, 9.1746, -4.7071, -4.7072, -4.7071, -4.7072, -4.7071, -4.7072, -4.7071, -4.7071, -4.7071, -4.7071, -4.7071, -4.7071, -4.7071, -4.7071, -4.7071, -4.7071]) # fmt: skip
torch.testing.assert_close(out[0, 0, :30], EXPECTED_SLICE, atol=1e-4, rtol=1e-4)
torch.testing.assert_close(out[0, 0, :30], EXPECTED_SLICE, rtol=1e-4, atol=1e-4)
del model
backend_empty_cache(torch_device)