91b0d220c8e816766fd4565e1d2f5115d3afbefe,test/functions/test_inv_quad_log_det.py,TestInvQuadLogDetBatch,test_inv_quad_log_det_many_vectors,#TestInvQuadLogDetBatch#,130

Before Change

            .sum(2)
            .sum(1)
        )
        actual_log_det = torch.cat(
            [self.mats_var_clone[0].det().log().unsqueeze(0), self.mats_var_clone[1].det().log().unsqueeze(0)]
        )
        with gpytorch.settings.num_trace_samples(1000):
            nlv = NonLazyTensor(self.mats_var)
            res_inv_quad, res_log_det = nlv.inv_quad_log_det(inv_quad_rhs=self.vecs_var, log_det=True)
        self.assertTrue(approx_equal(res_inv_quad, actual_inv_quad, epsilon=1e-1))

After Change

    def test_inv_quad_log_det_many_vectors(self):
        // Forward pass
        actual_inv_quad = (
            torch.cat([mat.inverse().unsqueeze(0) for mat in self.mats_clone])
            .matmul(self.vecs_clone)
            .mul(self.vecs_clone)
            .sum(2)

Instances