use torch.testing.assertclose instead to get more details about error in cis (#35659)

* 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

View File

@@ -446,7 +446,7 @@ class FalconModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMix
# Dynamic scaling does not change the RoPE embeddings until it receives an input longer than the original
# maximum sequence length, so the outputs for the short input should match.
if scaling_type == "dynamic":
self.assertTrue(torch.allclose(original_short_output, scaled_short_output, atol=1e-5))
torch.testing.assert_close(original_short_output, scaled_short_output, rtol=1e-5, atol=1e-5)
else:
self.assertFalse(torch.allclose(original_short_output, scaled_short_output, atol=1e-5))
@@ -628,4 +628,4 @@ class FalconLanguageGenerationTest(unittest.TestCase):
falcon_output_eager = falcon(input_ids, output_attentions=True)[0]
falcon_output_sdpa = falcon(input_ids)[0]
self.assertTrue(torch.allclose(falcon_output_eager, falcon_output_sdpa, atol=1e-3))
torch.testing.assert_close(falcon_output_eager, falcon_output_sdpa, rtol=1e-3, atol=1e-3)