0c6e3bc88f325280af5bcfa01bc83564afe1b113,GPy/kern/src/stationary.py,Stationary,gradients_XX,#Stationary#,221

Before Change

        dist = X[:,None,:] - X2[None,:,:]
        dist = (dist[:,:,:,None]*dist[:,:,None,:])
        I = np.ones((X.shape[0], X2.shape[0], X2.shape[1], X.shape[1]))*np.eye((X2.shape[1]))
        grad = (np.einsum("kl,klij->klij",dL_dK*(tmp1*invdist2 - tmp2), dist) /l2[None,None,:,None] - np.einsum("kl,klij->klij",dL_dK*tmp1, I))/l2[None,None,None,:]
        return grad

    def gradients_XX_diag(self, dL_dK_diag, X):

After Change

        dist = X[:,None,:] - X2[None,:,:]
        dist = (dist[:,:,:,None]*dist[:,:,None,:])
        I = np.ones((X.shape[0], X2.shape[0], X2.shape[1], X.shape[1]))*np.eye((X2.shape[1]))
        grad = (((dL_dK*(tmp1*invdist2 - tmp2))[:,:,None,None] * dist)/l2[None,None,:,None]
                - (dL_dK*tmp1)[:,:,None,None] * I)/l2[None,None,None,:]
        return grad

    def gradients_XX_diag(self, dL_dK_diag, X):

Instances