decorator.
    *   Added a `tf.keras.layers.experimental.preprocessing.HashedCrossing`
        layer which applies the hashing trick to the concatenation of crossed
        scalar inputs. This provides a stateless way to try adding feature
        crosses of integer or string data to a model.
    *   Removed `keras.layers.experimental.preprocessing.CategoryCrossing`.

keyLength || int64(numBlocks) > maxBlocks { return nil, errors.New("pbkdf2: keyLength too long") } var buf [4]byte dk := make([]byte, 0, numBlocks*hashLen) U := make([]byte, hashLen) for block := 1; block <= numBlocks; block++ { // N.B.: || means concatenation, ^ means XOR // for each block T_i = U_1 ^ U_2 ^ ... ^ U_iter // U_1 = PRF(password, salt || uint(i)) prf.Reset() prf.Write(salt) buf[0] = byte(block >> 24) buf[1] = byte(block >> 16) buf[2] = byte(block >> 8) buf[3] = byte(block) prf.Write(buf[:4])...

keyLength || int64(numBlocks) > maxBlocks { return nil, errors.New("pbkdf2: keyLength too long") } var buf [4]byte dk := make([]byte, 0, numBlocks*hashLen) U := make([]byte, hashLen) for block := 1; block <= numBlocks; block++ { // N.B.: || means concatenation, ^ means XOR // for each block T_i = U_1 ^ U_2 ^ ... ^ U_iter // U_1 = PRF(password, salt || uint(i)) prf.Reset() prf.Write(salt) buf[0] = byte(block >> 24) buf[1] = byte(block >> 16) buf[2] = byte(block >> 8) buf[3] = byte(block) prf.Write(buf[:4])...