60e8f88b9bbefc02c953e73d31e621d95dbcae82,GPy/kern/_src/rbf.py,RBF,gradients_Z_expectations,#RBF#Any#Any#Any#Any#,87

Before Change

    def gradients_Z_expectations(self, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
        mu = variational_posterior.mean
        S = variational_posterior.variance
        self._psi_computations(Z, mu, S)
        l2 = self.lengthscale **2

        //psi1
        denominator = (l2 * (self._psi1_denom))

After Change

        grad = np.sum(dL_dpsi1[:, :, None] * dpsi1_dZ, 0)

        //psi2
        denom, Zdist, Zdist_sq, mudist, mudist_sq, psi2 = self._psi2computations(Z, variational_posterior)
        term1 = Zdist / l2 // M, M, Q
        term2 = mudist / denom[:,None,None,:] / l2 // N, M, M, Q
        dZ = psi2[:, :, :, None] * (term1[None, :, :, :] + term2) //N,M,M,Q

Instances