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Fix device issues in CLIPSegModelIntegrationTest (#20467)

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar 2022-11-28 10:41:28 +01:00 committed by GitHub
parent 61d3928bfb
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1 changed files with 3 additions and 3 deletions
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tests/models/clipseg/test_modeling_clipseg.py
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@ -731,11 +731,11 @@ class CLIPSegModelIntegrationTest(unittest.TestCase):
)
expected_masks_slice = torch.tensor(
[[-7.4577, -7.4952, -7.4072], [-7.3115, -7.0969, -7.1624], [-6.9472, -6.7641, -6.8911]]
)
).to(torch_device)
self.assertTrue(torch.allclose(outputs.logits[0, :3, :3], expected_masks_slice, atol=1e-3))
# verify conditional and pooled output
expected_conditional = torch.tensor([0.5601, -0.0314, 0.1980])
expected_pooled_output = torch.tensor([0.2692, -0.7197, -0.1328])
expected_conditional = torch.tensor([0.5601, -0.0314, 0.1980]).to(torch_device)
expected_pooled_output = torch.tensor([0.2692, -0.7197, -0.1328]).to(torch_device)
self.assertTrue(torch.allclose(outputs.conditional_embeddings[0, :3], expected_conditional, atol=1e-3))
self.assertTrue(torch.allclose(outputs.pooled_output[0, :3], expected_pooled_output, atol=1e-3))