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
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@@ -174,7 +174,7 @@ class ASTFeatureExtractionTest(SequenceFeatureExtractionTestMixin, unittest.Test
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feature_extractor = ASTFeatureExtractor()
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input_values = feature_extractor(input_speech, return_tensors="pt").input_values
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self.assertEqual(input_values.shape, (1, 1024, 128))
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self.assertTrue(torch.allclose(input_values[0, 0, :30], EXPECTED_INPUT_VALUES, atol=1e-4))
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torch.testing.assert_close(input_values[0, 0, :30], EXPECTED_INPUT_VALUES, rtol=1e-4, atol=1e-4)
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def test_feat_extract_from_and_save_pretrained(self):
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feat_extract_first = self.feature_extraction_class(**self.feat_extract_dict)
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@@ -266,4 +266,4 @@ class ASTModelIntegrationTest(unittest.TestCase):
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expected_slice = torch.tensor([-0.8760, -7.0042, -8.6602]).to(torch_device)
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self.assertTrue(torch.allclose(outputs.logits[0, :3], expected_slice, atol=1e-4))
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torch.testing.assert_close(outputs.logits[0, :3], expected_slice, rtol=1e-4, atol=1e-4)
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