v.y.Multiply(&p.Y, &p.Z) v.z.Multiply(&p.Z, &p.T) v.t.Multiply(&p.X, &p.Y) return v } func (v *Point) fromP2(p *projP2) *Point { v.x.Multiply(&p.X, &p.Z) v.y.Multiply(&p.Y, &p.Z) v.z.Square(&p.Z) v.t.Multiply(&p.X, &p.Y) return v } // d is a constant in the curve equation. var d, _ = new(field.Element).SetBytes([]byte{ 0xa3, 0x78, 0x59, 0x13, 0xca, 0x4d, 0xeb, 0x75, 0xab, 0xd8, 0x41, 0x41, 0x4d, 0x0a, 0x70, 0x00, 0x98, 0xe8, 0x79, 0x77, 0x79, 0x40, 0xc7, 0x8c, 0x73, 0xfe, 0x6f, 0x2b, 0xee, 0x6c, 0x03, 0x52}) var d2...

        ValueError for unknown hyperparameter types. Such * Add
        `tf.linalg.matvec` convenience function.
    *   `tf.einsum()`raises `ValueError` for unsupported equations like
        `"ii->"`.
    *   Add DCT-I and IDCT-I in `tf.signal.dct` and `tf.signal.idct`.
    *   Add LU decomposition op.
    *   Add quantile loss to gradient boosted trees in estimator.