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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/tvp/test_modeling_tvp.py
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@@ -277,7 +277,7 @@ class TvpModelIntegrationTests(unittest.TestCase):
expected_slice = torch.tensor(
[[-0.4902, -0.4121, -1.7872], [-0.2184, 2.1211, -0.9371], [0.1180, 0.5003, -0.1727]]
).to(torch_device)
self.assertTrue(torch.allclose(outputs.last_hidden_state[0, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(outputs.last_hidden_state[0, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)
def test_inference_with_head(self):
model = TvpForVideoGrounding.from_pretrained("Jiqing/tiny-random-tvp").to(torch_device)
@@ -296,7 +296,7 @@ class TvpModelIntegrationTests(unittest.TestCase):
expected_shape = torch.Size((1, 2))
assert outputs.logits.shape == expected_shape
expected_slice = torch.tensor([[0.5061, 0.4988]]).to(torch_device)
self.assertTrue(torch.allclose(outputs.logits, expected_slice, atol=1e-4))
torch.testing.assert_close(outputs.logits, expected_slice, rtol=1e-4, atol=1e-4)
def test_interpolate_inference_no_head(self):
model = TvpModel.from_pretrained("Jiqing/tiny-random-tvp").to(torch_device)