6bca4eed74e22ee369c166649f15db56f8565e35,test/lazy/_lazy_tensor_test_case.py,LazyTensorTestCase,test_inv_quad_logdet_no_reduce,#LazyTensorTestCase#,586

Before Change

                [torch.logdet(flattened_evaluated[i]).unsqueeze(0) for i in range(lazy_tensor.batch_shape.numel())]
            ).view(lazy_tensor.batch_shape)

            diff_invq = (res_inv_quad.sum(-1) - actual_inv_quad).abs() / actual_inv_quad.abs().clamp(1, math.inf)
            diff_logdet = (res_logdet - actual_logdet).abs() / res_logdet.abs().clamp(1, math.inf)
            self.assertLess(diff_invq.max().item(), 0.01)
            self.assertLess(diff_logdet.max().item(), 0.3)

After Change

            ).view(lazy_tensor.batch_shape)

            self.assertAllClose(res_inv_quad.sum(-1), actual_inv_quad, rtol=0.01, atol=0.01)
            self.assertAllClose(res_logdet, actual_logdet, rtol=0.2, atol=0.03)

    def test_prod(self):
        with gpytorch.settings.fast_computations(covar_root_decomposition=False):
            lazy_tensor = self.create_lazy_tensor()

Instances