Byebye torch 1.10 (#28207)
* fix * fix --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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@@ -515,7 +515,6 @@ class WavLMModelIntegrationTest(unittest.TestCase):
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EXPECTED_HIDDEN_STATES_SLICE = torch.tensor(
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[[[0.0577, 0.1161], [0.0579, 0.1165]], [[0.0199, 0.1237], [0.0059, 0.0605]]]
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)
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# TODO: update the tolerance after the CI moves to torch 1.10
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self.assertTrue(torch.allclose(hidden_states_slice, EXPECTED_HIDDEN_STATES_SLICE, atol=5e-2))
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def test_inference_large(self):
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@@ -567,7 +566,6 @@ class WavLMModelIntegrationTest(unittest.TestCase):
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)
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self.assertEqual(labels[0, :, 0].sum(), 258)
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self.assertEqual(labels[0, :, 1].sum(), 647)
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# TODO: update the tolerance after the CI moves to torch 1.10
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self.assertTrue(torch.allclose(outputs.logits[:, :4], expected_logits, atol=1e-2))
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def test_inference_speaker_verification(self):
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@@ -592,5 +590,4 @@ class WavLMModelIntegrationTest(unittest.TestCase):
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# id10002 vs id10004
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self.assertAlmostEqual(cosine_sim(embeddings[2], embeddings[3]).item(), 0.4780, 3)
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# TODO: update the tolerance after the CI moves to torch 1.10
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self.assertAlmostEqual(outputs.loss.item(), 18.4154, 2)
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