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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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8
tests/models/bamba/test_modeling_bamba.py
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@@ -312,11 +312,11 @@ class BambaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixi
for name, param in model.named_parameters():
if param.requires_grad:
if "A_log" in name:
A = torch.arange(1, config.mamba_n_heads + 1, dtype=torch.float32)[None, :]
self.assertTrue(torch.allclose(param.data, torch.log(A), atol=1e-5, rtol=1e-5))
A = torch.arange(1, config.mamba_n_heads + 1, dtype=torch.float32)
torch.testing.assert_close(param.data, torch.log(A), rtol=1e-5, atol=1e-5)
elif "D" in name:
D = torch.ones(config.mamba_n_heads, dtype=torch.float32)
self.assertTrue(torch.allclose(param.data, D, atol=1e-5, rtol=1e-5))
torch.testing.assert_close(param.data, D, rtol=1e-5, atol=1e-5)
else:
self.assertIn(
((param.data.mean() * 1e9).round() / 1e9).item(),
@@ -482,7 +482,7 @@ class BambaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixi
next_logits_with_padding = model(**model_kwargs).logits[:, -1, :]
# They should result in very similar logits
torch.testing.assert_close(next_logits_wo_padding, next_logits_with_padding, atol=1e-5, rtol=1e-1)
torch.testing.assert_close(next_logits_wo_padding, next_logits_with_padding, rtol=1e-5, atol=1e-5)
@slow