cfdbbd21642c6082164b84db78c2ead07499a113,test/test_unbalanced.py,,test_unbalanced_convergence,#Any#,13

Before Change

    M = ot.dist(x, x)
    epsilon = 1.
    alpha = 1.
    K = np.exp(- M / epsilon)

    G, log = ot.unbalanced.sinkhorn_unbalanced(a, b, M, reg=epsilon, alpha=alpha,
                                               stopThr=1e-10, method=method,
                                               log=True)
    loss = ot.unbalanced.sinkhorn_unbalanced2(a, b, M, epsilon, alpha,
                                              method=method)
    // check fixed point equations
    fi = alpha / (alpha + epsilon)
    v_final = (b / K.T.dot(log["u"])) ** fi
    u_final = (a / K.dot(log["v"])) ** fi

    np.testing.assert_allclose(
        u_final, log["u"], atol=1e-05)
    np.testing.assert_allclose(

After Change

    // check fixed point equations
    // in log-domain
    fi = reg_m / (reg_m + epsilon)
    logb = np.log(b + 1e-16)
    loga = np.log(a + 1e-16)
    logKtu = logsumexp(log["logu"][None, :] - M.T / epsilon, axis=1)
    logKv = logsumexp(log["logv"][None, :] - M / epsilon, axis=1)

    v_final = fi * (logb - logKtu)
    u_final = fi * (loga - logKv)

    np.testing.assert_allclose(
        u_final, log["logu"], atol=1e-05)

Instances