8a0ae18821895cfe49ea136643f3fcc423b00577,test/functions/test_inv_quad_log_det.py,TestInvQuadLogDetBatch,test_inv_quad_only_many_vectors,#TestInvQuadLogDetBatch#,167

Before Change

        self.assertTrue(approx_equal(res.data, actual.data, epsilon=1e-1))

        // Backward
        inv_quad_grad_output = torch.randn(2)
        actual.backward(gradient=inv_quad_grad_output)
        res.backward(gradient=inv_quad_grad_output)

        self.assertTrue(approx_equal(self.mats_var_clone.grad.data, self.mats_var.grad.data, epsilon=1e-1))

After Change

    def test_inv_quad_only_many_vectors(self):
        // Forward pass
        res = NonLazyVariable(self.mats_var).inv_quad(self.vecs_var).sum()
        actual = (
            torch.cat([self.mats_var_clone[0].inverse().unsqueeze(0), self.mats_var_clone[1].inverse().unsqueeze(0)])
            .matmul(self.vecs_var_clone)
            .mul(self.vecs_var_clone)

Instances