########################################################################################################
# The RWKV Language Model - https://github.com/BlinkDL/RWKV-LM
# Source: https://github.com/BlinkDL/ChatRWKV/blob/main/tokenizer/rwkv_tokenizer.py
########################################################################################################
import os, sys, time, random
print('''
#######################################################################################################################
This tokenizer is not used in any RWKV models yet. I plan to use it for the future multilang RWKV models.
Benefits:
* Good support of most languages, from European to CJK to Arabic and Hindi and more.
* Clean vocab. Good for code too. Vocab size = 65525 (use 0 for <|endoftext|>).
* Good at numbers: the numerical tokens are '0'~'9', '10'~'99', ' 0'~' 9', ' 10'~' 99'.
* Very easy tokenization:
** The input text must be in UTF-8.
** Greedy encoding: always pick the longest (in bytes) token (with the highest id) that matches your UTF-8 bytes.
* The tokenization result is surprisingly good, because the vocab respects word boundaries and UTF-8 boundaries.
For 10x faster speed:
mypyc rwkv_tokenizer.py
python3 -c "import rwkv_tokenizer"
#######################################################################################################################
''')
########################################################################################################
# Tokenizer #1 (reference, naive, slow)
########################################################################################################
class RWKV_TOKENIZER():
table = None # : list[list[list[bytes]]] = None
good = None # : list[set[int]]
wlen = None # : list[int]
def __init__(self, file_name):
self.vocab_size = 65525
self.idx2token = {}
sorted = [] # must be already sorted
lines = open(file_name, "r", encoding="utf-8").readlines()
for l in lines:
idx = int(l[:l.index(' ')])
x = eval(l[l.index(' '):l.rindex(' ')])
x = x.encode("utf-8") if isinstance(x, str) else x
assert isinstance(x, bytes)
assert len(x) == int(l[l.rindex(' '):])
sorted += [x]
self.idx2token[idx] = x
self.token2idx = {}
for k, v in self.idx2token.items():
self.token2idx[v] = int(k)
# precompute some tables for fast matching
self.table = [[[] for j in range(256)] for i in range(256)]
self.good = [set() for i in range(256)]
self.wlen = [0 for i in range(256)]
for i in reversed(range(len(sorted))): # reverse order - match longer tokens first
s = sorted[i]
if len(s) >= 2:
s0 = int(s[0])
s1 = int(s[1])
self.table[s0][s1] += [s]
self.wlen[s0] = max(self.wlen[s0], len(s))
self.good[s0].add(s1)
def encodeBytes(self, src: bytes):
src_len: int = len(src)
tokens = []
i: int = 0
while i < src_len:
s: bytes = src[i : i + 1]
if i < src_len - 1:
s1: int = int(src[i + 1])
s0: int = int(src[i])
if s1 in self.good[s0]:
sss: bytes = src[i : i + self.wlen[s0]]
try:
s = next(filter(sss.startswith, self.table[s0][s1]))
except:
pass
tokens.append(self.token2idx[s])
i += len(s)
return tokens
def decodeBytes(self, tokens):
return b''.join(map(lambda i: self.idx2token[i], tokens))
def encode(self, src: str):
return self.encodeBytes(src.encode("utf-8"))
def decode(self, tokens):
return self.decodeBytes(tokens).decode('utf-8')
def token_to_id(self, token):
return self.token2idx[token]
def get_vocab_size(self):
return self.vocab_size
def get_vocab(self):
return self.idx2token
def printTokens(self, tokens):
for i in tokens:
s = self.idx2token[i]
try:
s = s.decode('utf-8')
except:
pass
print(f'{repr(s)}{i}', end=' ')
# print(repr(s), i)
print()
########################################################################################################
# Tokenizer #2 (trie, faster) https://github.com/TkskKurumi/ChatRWKV-TRIE-Tokenizer
########################################################################################################
class TRIE:
__slots__ = tuple("ch,to,values,front".split(","))
to:list
values:set
def __init__(self, front=None, ch=None):
self.ch = ch
self.to = [None for ch in range(256)]
self.values = set()
self.front = front
def __repr__(self):
fr = self
ret = []
while(fr!=None):
if(fr.ch!=None):
ret.append(fr.ch)
fr = fr.front
return "<TRIE %s %s>"%(ret[::-1], self.values)
def add(self, key:bytes, idx:int=0, val=None):
if(idx == len(key)):
if(val is None):
val = key
self.values.add(val)
return self
ch = key[idx]
if(self.to[ch] is None):
self.to[ch] = TRIE(front=self, ch=ch)
return self.to[ch].add(key, idx=idx+1, val=val)
def find_longest(self, key:bytes, idx:int=0):
u:TRIE = self
ch:int = key[idx]
while(u.to[ch] is not None):
u = u.to[ch]
idx += 1
if(u.values):
ret = idx, u, u.values
if(idx==len(key)):
break
ch = key[idx]
return ret
class TRIE_TOKENIZER():
def __init__(self, file_name):
self.vocab_size = 65525
self.idx2token = {}
sorted = [] # must be already sorted
with open(file_name, "r", encoding="utf-8") as f:
lines = f.readlines()
for l in lines:
idx = int(l[:l.index(' ')])
x = eval(l[l.index(' '):l.rindex(' ')])
x = x.encode("utf-8") if isinstance(x, str) else x
assert isinstance(x, bytes)
assert len(x) == int(l[l.rindex(' '):])
sorted += [x]
self.idx2token[idx] = x
self.token2idx = {}
for k,v in self.idx2token.items():
self.token2idx[v] = int(k)
self.root = TRIE()
for t, i in self.token2idx.items():
_ = self.root.add(t, val=(t, i))
def encodeBytes(self, src:bytes):
idx:int = 0
tokens = []
while (idx < len(src)):
_idx:int = idx
idx, _, values = self.root.find_longest(src, idx)
assert(idx != _idx)
_, token = next(iter(values))
tokens.append(token)
return tokens
def decodeBytes(self, tokens):
return b''.join(map(lambda i: self.idx2token[i], tokens))
def encode(self, src):
return self.encodeBytes(src.encode("utf-8"))
def decode(self, tokens):
return self.decodeBytes(tokens).decode('utf-8')
def get_vocab_size(self):
return self.vocab_size
def get_vocab(self):
return self.idx2token
def printTokens(self, tokens):
for i in tokens:
s = self.idx2token[i]
try:
s = s.decode('utf-8')
except:
pass
print(f'{repr(s)}{i}', end=' ')
print()