higher precision for vae

81b6fbf1 · Patrick von Platen · a7ae808e · 81b6fbf1
Commit 81b6fbf1 authored Oct 28, 2022 by Patrick von Platen
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tests/models/test_models_vae.py tests/models/test_models_vae.py +1 -1

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--- a/tests/models/test_models_vae.py
+++ b/tests/models/test_models_vae.py
@@ -209,7 +209,7 @@ class AutoencoderKLIntegrationTests(unittest.TestCase):
        output_slice = sample[-1, -2:, :2, -2:].flatten().float().cpu()
        expected_output_slice = torch.tensor(expected_slice)

-        assert torch_all_close(output_slice, expected_output_slice, atol=5e-3)
+        assert torch_all_close(output_slice, expected_output_slice, atol=1e-2)

    @parameterized.expand(
        [