for details of what operations are supported and what are the differences
    from NumPy.
*   `tf.types.experimental.TensorLike` is a new `Union` type that can be used as
    type annotation for variables representing a Tensor or a value that can be
    converted to Tensor by `tf.convert_to_tensor`.
*   Calling ops with a python constants or numpy values is now consistent with

{{.P}}Point is a {{.P}} point. The zero value is NOT valid. type {{.P}}Point struct { // The point is represented in projective coordinates (X:Y:Z), // where x = X/Z and y = Y/Z. x, y, z *{{.Element}} } // New{{.P}}Point returns a new {{.P}}Point representing the point at infinity point. func New{{.P}}Point() *{{.P}}Point { return &{{.P}}Point{ x: new({{.Element}}), y: new({{.Element}}).One(), z: new({{.Element}}), } } // SetGenerator sets p to the canonical generator and returns p. func (p *{{.P}}Point)...