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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/speecht5/test_feature_extraction_speecht5.py
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@@ -402,7 +402,7 @@ class SpeechT5FeatureExtractionTest(SequenceFeatureExtractionTestMixin, unittest
feature_extractor = SpeechT5FeatureExtractor()
input_values = feature_extractor(input_speech, return_tensors="pt").input_values
self.assertEqual(input_values.shape, (1, 93680))
self.assertTrue(torch.allclose(input_values[0, :30], EXPECTED_INPUT_VALUES, atol=1e-6))
torch.testing.assert_close(input_values[0, :30], EXPECTED_INPUT_VALUES, rtol=1e-6, atol=1e-6)
def test_integration_target(self):
# fmt: off
@@ -418,4 +418,4 @@ class SpeechT5FeatureExtractionTest(SequenceFeatureExtractionTestMixin, unittest
feature_extractor = SpeechT5FeatureExtractor()
input_values = feature_extractor(audio_target=input_speech, return_tensors="pt").input_values
self.assertEqual(input_values.shape, (1, 366, 80))
self.assertTrue(torch.allclose(input_values[0, 0, :30], EXPECTED_INPUT_VALUES, atol=1e-4))
torch.testing.assert_close(input_values[0, 0, :30], EXPECTED_INPUT_VALUES, rtol=1e-4, atol=1e-4)