`convolutional_orthogonal_2D`, `convolutional_orthogonal_3D`) have
    consistent behavior with the `tf.initializers.orthogonal` initializer, i.e.
    scale the output l2-norm by `gain` and NOT by `sqrt(gain)`. (Note that these
    functions are currently in `tf.contrib` which is not guaranteed backward
    compatible).

## Bug Fixes and Other Changes

*   Documentation

fieldFromMontgomery(one) != 1 { t.Errorf("one constant incorrect") } if fieldFromMontgomery(minusOne) != q-1 { t.Errorf("minusOne constant incorrect") } if fieldInfinityNorm(one) != 1 { t.Errorf("one infinity norm incorrect") } if fieldInfinityNorm(minusOne) != 1 { t.Errorf("minusOne infinity norm incorrect") } if PublicKeySize44 != pubKeySize(params44) { t.Errorf("PublicKeySize44 constant incorrect") } if PublicKeySize65 != pubKeySize(params65) { t.Errorf("PublicKeySize65 constant incorrect") } if PublicKeySize87...