For details on best practices with 2.0, see
[the Effective 2.0 guide](https://www.tensorflow.org/beta/guide/effective_tf2)

For information on upgrading your existing TensorFlow 1.x models, please refer
to our
[Upgrade](https://medium.com/tensorflow/upgrading-your-code-to-tensorflow-2-0-f72c3a4d83b5)
and [Migration](https://www.tensorflow.org/beta/guide/migration_guide) guides.
We have also released a collection of

0b0001_0000 r |= n << 4 & 0b0010_0000 r |= n << 6 & 0b0100_0000 return r } func TestZetas(t *testing.T) { ζ := big.NewInt(17) q := big.NewInt(q) for k, zeta := range zetas { // ζ^BitRev7(k) mod q exp := new(big.Int).Exp(ζ, big.NewInt(int64(BitRev7(uint8(k)))), q) if big.NewInt(int64(zeta)).Cmp(exp) != 0 { t.Errorf("zetas[%d] = %v, expected %v", k, zeta, exp) } } } func TestGammas(t *testing.T) { ζ := big.NewInt(17) q := big.NewInt(q) for k, gamma := range gammas { // ζ^2BitRev7(i)+1 exp := new(big.Int).Exp(ζ,...