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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/dac/test_feature_extraction_dac.py
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@@ -165,9 +165,9 @@ class DacFeatureExtractionTest(SequenceFeatureExtractionTestMixin, unittest.Test
feature_extractor = DacFeatureExtractor()
input_values = feature_extractor(input_audio, return_tensors="pt")["input_values"]
self.assertEqual(input_values.shape, (1, 1, 93696))
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)
audio_input_end = torch.tensor(input_audio[0][-30:], dtype=torch.float32)
self.assertTrue(torch.allclose(input_values[0, 0, -46:-16], audio_input_end, atol=1e-4))
torch.testing.assert_close(input_values[0, 0, -46:-16], audio_input_end, rtol=1e-4, atol=1e-4)
# Ignore copy
@unittest.skip("The DAC model doesn't support stereo logic")