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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/fastspeech2_conformer/test_modeling_fastspeech2_conformer.py
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@@ -390,7 +390,7 @@ class FastSpeech2ConformerModelIntegrationTest(unittest.TestCase):
)
# fmt: on
self.assertTrue(torch.allclose(spectrogram[0, :10, :10], expected_mel_spectrogram, atol=1e-4))
torch.testing.assert_close(spectrogram[0, :10, :10], expected_mel_spectrogram, rtol=1e-4, atol=1e-4)
self.assertEqual(spectrogram.shape, (1, 205, model.config.num_mel_bins))
def test_training_integration(self):
@@ -447,8 +447,8 @@ class FastSpeech2ConformerModelIntegrationTest(unittest.TestCase):
expected_loss = torch.tensor(74.4595, device=torch_device)
self.assertTrue(torch.allclose(spectrogram[0, :10, :10], expected_mel_spectrogram, atol=1e-3))
self.assertTrue(torch.allclose(loss, expected_loss, atol=1e-4))
torch.testing.assert_close(spectrogram[0, :10, :10], expected_mel_spectrogram, rtol=1e-3, atol=1e-3)
torch.testing.assert_close(loss, expected_loss, rtol=1e-4, atol=1e-4)
self.assertEqual(spectrogram.shape, (1, 224, model.config.num_mel_bins))
@@ -803,5 +803,5 @@ class FastSpeech2ConformerWithHifiGanIntegrationTest(unittest.TestCase):
)
# fmt: on
self.assertTrue(torch.allclose(waveform[0, :100], expected_waveform, atol=1e-4))
torch.testing.assert_close(waveform[0, :100], expected_waveform, rtol=1e-4, atol=1e-4)
self.assertEqual(waveform.shape, (1, 52480))