*   Raw TensorFlow functions can now be used in conjunction with the Keras
        Functional API during model creation. This obviates the need for users
        to create Lambda layers in most cases when using the Functional API.
        Like Lambda layers, TensorFlow functions that result in Variable
        creation or assign ops are not supported.
    *   Add support for passing list of lists to the `metrics` argument in Keras

XplusYsq field.Element XX.Square(&p.X) YY.Square(&p.Y) ZZ2.Square(&p.Z) ZZ2.Add(&ZZ2, &ZZ2) XplusYsq.Add(&p.X, &p.Y) XplusYsq.Square(&XplusYsq) v.Y.Add(&YY, &XX) v.Z.Subtract(&YY, &XX) v.X.Subtract(&XplusYsq, &v.Y) v.T.Subtract(&ZZ2, &v.Z) return v } // Negation. // Negate sets v = -p, and returns v. func (v *Point) Negate(p *Point) *Point { checkInitialized(p) v.x.Negate(&p.x) v.y.Set(&p.y) v.z.Set(&p.z) v.t.Negate(&p.t) return v } // Equal returns 1 if v is equivalent to u, and 0 otherwise. func (v *Point)...