91b0d220c8e816766fd4565e1d2f5115d3afbefe,test/functions/test_inv_quad_log_det.py,TestInvQuadLogDetBatch,test_log_det_only,#TestInvQuadLogDetBatch#,177

Before Change

        actual = torch.cat(
            [self.mats_var_clone[0].det().log().unsqueeze(0), self.mats_var_clone[1].det().log().unsqueeze(0)]
        )
        self.assertTrue(approx_equal(res, actual, epsilon=1e-1))

        // Backward
        grad_output = torch.tensor([3, 4], dtype=torch.float)
        actual.backward(gradient=grad_output)

After Change

        // Forward pass
        with gpytorch.settings.num_trace_samples(2000):
            res = NonLazyTensor(self.mats).log_det()
        actual = torch.cat([mat.logdet().unsqueeze(0) for mat in self.mats_clone])
        self.assertEqual(res.shape, actual.shape)
        self.assertLess(torch.max((res - actual).abs()).item(), 1e-1)

        // Backward

Instances