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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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5
tests/models/mamba/test_modeling_mamba.py
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@@ -344,11 +344,12 @@ class MambaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixi
self.assertTrue(param.data.min().item() >= inv_dt[0])
elif "A_log" in name:
A = torch.arange(1, config.state_size + 1, dtype=torch.float32)[None, :]
self.assertTrue(torch.allclose(param.data, torch.log(A), atol=1e-5, rtol=1e-5))
A = A.expand(config.intermediate_size, -1).contiguous()
torch.testing.assert_close(param.data, torch.log(A), rtol=1e-5, atol=1e-5)
elif "D" in name:
if param.requires_grad:
# check if it's a ones like
self.assertTrue(torch.allclose(param.data, torch.ones_like(param.data), atol=1e-5, rtol=1e-5))
torch.testing.assert_close(param.data, torch.ones_like(param.data), rtol=1e-5, atol=1e-5)
@slow
def test_model_from_pretrained(self):