higher precision for vae
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@ -209,7 +209,7 @@ class AutoencoderKLIntegrationTests(unittest.TestCase):
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output_slice = sample[-1, -2:, :2, -2:].flatten().float().cpu()
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expected_output_slice = torch.tensor(expected_slice)
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assert torch_all_close(output_slice, expected_output_slice, atol=5e-3)
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assert torch_all_close(output_slice, expected_output_slice, atol=1e-2)
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@parameterized.expand(
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[
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