d5c8585b59b649c5474d40f67a9105cd89bf626c,gpflow/ekernels.py,Add,Linear_RBF_eKxzKzx,#Add#Any#Any#Any#Any#Any#,217

Before Change

        vecplus = (Z[None, :, :, None] / lengthscales2[None, None, :, None] +
                   tf.matrix_solve(Xcov, Xmu[:, :, None])[:, None, :, :])  // NxMxDx1
        mean = tf.cholesky_solve(tcgm,
                                 tf.matmul(tf.tile(Xcov[:, None, :, :], [1, M, 1, 1]), vecplus)
                                 )[:, :, :, 0] * lengthscales2[None, None, :]  // NxMxD
        a = tf.matmul(tf.tile(Z[None, :, :], [N, 1, 1]),
                            mean * exp[:, :, None] * det[:, None, None] * const, transpose_b=True)
        return a + tf.transpose(a, [0, 2, 1])

After Change

        lin, rbf = (Ka, Kb) if isinstance(Ka, Linear) else (Kb, Ka)
        if not isinstance(lin, Linear):
            TypeError("{in_lin} is not {linear}".format(in_lin=str(type(lin)), linear=str(Linear)))
        if not isinstance(rbf, RBF):
            TypeError("{in_rbf} is not {rbf}".format(in_rbf=str(type(rbf)), rbf=str(RBF)))
        if lin.ARD or type(lin.active_dims) is not slice or type(rbf.active_dims) is not slice:
            raise NotImplementedError("Active dims and/or Linear ARD not implemented. "
                                      "Switching to quadrature.")
        D = tf.shape(Xmu)[1]

Instances