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@ -880,7 +880,7 @@ class VQModelTests(ModelTesterMixin, unittest.TestCase):
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# fmt: off
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# fmt: off
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expected_output_slice = torch.tensor([-1.1321, 0.1056, 0.3505, -0.6461, -0.2014, 0.0419, -0.5763, -0.8462, -0.4218])
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expected_output_slice = torch.tensor([-1.1321, 0.1056, 0.3505, -0.6461, -0.2014, 0.0419, -0.5763, -0.8462, -0.4218])
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# fmt: on
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# fmt: on
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self.assertTrue(torch.allclose(output_slice, expected_output_slice, rtol=1e-3))
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self.assertTrue(torch.allclose(output_slice, expected_output_slice, rtol=1e-2))
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class AutoEncoderKLTests(ModelTesterMixin, unittest.TestCase):
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class AutoEncoderKLTests(ModelTesterMixin, unittest.TestCase):
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@ -951,7 +951,7 @@ class AutoEncoderKLTests(ModelTesterMixin, unittest.TestCase):
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# fmt: off
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# fmt: off
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expected_output_slice = torch.tensor([-0.0814, -0.0229, -0.1320, -0.4123, -0.0366, -0.3473, 0.0438, -0.1662, 0.1750])
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expected_output_slice = torch.tensor([-0.0814, -0.0229, -0.1320, -0.4123, -0.0366, -0.3473, 0.0438, -0.1662, 0.1750])
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# fmt: on
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# fmt: on
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self.assertTrue(torch.allclose(output_slice, expected_output_slice, rtol=1e-3))
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self.assertTrue(torch.allclose(output_slice, expected_output_slice, rtol=1e-2))
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class PipelineTesterMixin(unittest.TestCase):
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class PipelineTesterMixin(unittest.TestCase):
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