in early_s in Estimator
    *   Canned Estimators will now use keras optimizers by default. An error
        will be raised if tf.train.Optimizers are used, and you will have to
        switch to tf.keras.optimizers or tf.compat.v1 canned Estimators.
    *   A checkpoint converter for canned Estimators has been provided to
        transition canned Estimators that are warm started from

// Add sets v = p + q, and returns v. func (v *Point) Add(p, q *Point) *Point { checkInitialized(p, q) qCached := new(projCached).FromP3(q) result := new(projP1xP1).Add(p, qCached) return v.fromP1xP1(result) } // Subtract sets v = p - q, and returns v. func (v *Point) Subtract(p, q *Point) *Point { checkInitialized(p, q) qCached := new(projCached).FromP3(q) result := new(projP1xP1).Sub(p, qCached) return v.fromP1xP1(result) } func (v *projP1xP1) Add(p *Point, q *projCached) *projP1xP1 { var YplusX,...