keras

def error_tsq_mape(y_true, y_pred):

    diff = K.abs((y_true - y_pred) / K.clip(K.abs(y_true), K.epsilon(), np.inf))

    ind=K.zeros_like(y_true)

    print 'a'

    if K.not_equal(K.ndim(ind),0):

        diff[ind]=0

    return 100. * K.mean(diff, axis=-1)