Add world support
Browse files- app.py +3 -1
- rwkv_tokenizer.py +103 -0
- rwkv_vocab_v20230424.txt +0 -0
- utils.py +11 -4
app.py
CHANGED
@@ -13,6 +13,7 @@ desc = f'''链接:<a href='https://colab.research.google.com/drive/1J1gLMMMA8G
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parser = argparse.ArgumentParser(prog = 'ChatGal RWKV')
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parser.add_argument('--share',action='store_true')
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parser.add_argument('--ckpt',type=str,default="rwkv-loramerge-0426-v2-4096-epoch11.pth")
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parser.add_argument('--model_path',type=str,default=None,help="local model path")
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parser.add_argument('--lora', type=str, default=None, help='lora checkpoint path')
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@@ -40,7 +41,8 @@ if torch.cuda.is_available() and torch.cuda.device_count()>0:
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else:
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model = RWKV(model=model_path, strategy='cpu bf16',**lora_kwargs)
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from utils import PIPELINE, PIPELINE_ARGS
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-
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def infer(
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ctx,
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parser = argparse.ArgumentParser(prog = 'ChatGal RWKV')
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parser.add_argument('--share',action='store_true')
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parser.add_argument("--world",type=bool, default=False)
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parser.add_argument('--ckpt',type=str,default="rwkv-loramerge-0426-v2-4096-epoch11.pth")
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parser.add_argument('--model_path',type=str,default=None,help="local model path")
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parser.add_argument('--lora', type=str, default=None, help='lora checkpoint path')
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else:
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model = RWKV(model=model_path, strategy='cpu bf16',**lora_kwargs)
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from utils import PIPELINE, PIPELINE_ARGS
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+
tokenizer_file = "rwkv_vocab_v20230424" if args.world else "20B_tokenizer.json"
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pipeline = PIPELINE(model, tokenizer_file)
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def infer(
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ctx,
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rwkv_tokenizer.py
ADDED
@@ -0,0 +1,103 @@
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########################################################################################################
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# The RWKV Language Model - https://github.com/BlinkDL/RWKV-LM
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########################################################################################################
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class TRIE:
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__slots__ = tuple("ch,to,values,front".split(","))
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to:list
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values:set
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def __init__(self, front=None, ch=None):
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self.ch = ch
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self.to = [None for ch in range(256)]
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self.values = set()
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self.front = front
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def __repr__(self):
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fr = self
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ret = []
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while(fr!=None):
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if(fr.ch!=None):
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ret.append(fr.ch)
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fr = fr.front
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return "<TRIE %s %s>"%(ret[::-1], self.values)
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def add(self, key:bytes, idx:int=0, val=None):
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if(idx == len(key)):
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if(val is None):
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val = key
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self.values.add(val)
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return self
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ch = key[idx]
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if(self.to[ch] is None):
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self.to[ch] = TRIE(front=self, ch=ch)
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return self.to[ch].add(key, idx=idx+1, val=val)
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def find_longest(self, key:bytes, idx:int=0):
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u:TRIE = self
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ch:int = key[idx]
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while(u.to[ch] is not None):
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u = u.to[ch]
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idx += 1
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if(u.values):
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ret = idx, u, u.values
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if(idx==len(key)):
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break
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ch = key[idx]
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return ret
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class TRIE_TOKENIZER():
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def __init__(self, file_name):
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self.idx2token = {}
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sorted = [] # must be already sorted
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with open(file_name, "r", encoding="utf-8") as f:
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lines = f.readlines()
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for l in lines:
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idx = int(l[:l.index(' ')])
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x = eval(l[l.index(' '):l.rindex(' ')])
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x = x.encode("utf-8") if isinstance(x, str) else x
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assert isinstance(x, bytes)
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assert len(x) == int(l[l.rindex(' '):])
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sorted += [x]
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self.idx2token[idx] = x
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self.token2idx = {}
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for k,v in self.idx2token.items():
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self.token2idx[v] = int(k)
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self.root = TRIE()
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for t, i in self.token2idx.items():
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_ = self.root.add(t, val=(t, i))
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def encodeBytes(self, src:bytes):
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idx:int = 0
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tokens = []
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while (idx < len(src)):
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_idx:int = idx
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idx, _, values = self.root.find_longest(src, idx)
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assert(idx != _idx)
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_, token = next(iter(values))
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tokens.append(token)
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return tokens
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def decodeBytes(self, tokens):
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return b''.join(map(lambda i: self.idx2token[i], tokens))
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def encode(self, src):
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return self.encodeBytes(src.encode("utf-8"))
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def decode(self, tokens):
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try:
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return self.decodeBytes(tokens).decode('utf-8')
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except:
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return '\ufffd' # bad utf-8
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def printTokens(self, tokens):
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for i in tokens:
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s = self.idx2token[i]
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try:
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s = s.decode('utf-8')
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except:
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pass
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print(f'{repr(s)}{i}', end=' ')
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print()
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rwkv_vocab_v20230424.txt
ADDED
The diff for this file is too large to render.
See raw diff
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utils.py
CHANGED
@@ -22,6 +22,9 @@ class PIPELINE():
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if WORD_NAME == 'cl100k_base':
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import tiktoken
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self.tokenizer = tiktoken.get_encoding(WORD_NAME)
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else:
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from tokenizers import Tokenizer
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self.tokenizer = Tokenizer.from_file(WORD_NAME)
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@@ -37,10 +40,14 @@ class PIPELINE():
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return context
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def encode(self, x):
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if 'tiktoken' in str(type(self.tokenizer)):
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else:
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-
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def decode(self, x):
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return self.tokenizer.decode(x)
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if WORD_NAME == 'cl100k_base':
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import tiktoken
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self.tokenizer = tiktoken.get_encoding(WORD_NAME)
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elif WORD_NAME == 'rwkv_vocab_v20230424':
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from rwkv_tokenizer import TRIE_TOKENIZER
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self.tokenizer = TRIE_TOKENIZER(f'./{WORD_NAME}.txt')
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else:
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from tokenizers import Tokenizer
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self.tokenizer = Tokenizer.from_file(WORD_NAME)
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return context
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def encode(self, x):
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# if 'tiktoken' in str(type(self.tokenizer)):
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# return self.tokenizer.encode(x)
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# else:
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# return self.tokenizer.encode(x).ids
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encoded = self.tokenizer.encode(x)
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if hasattr(encoded,"ids"):
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encoded = encoded.ids
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return encoded
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def decode(self, x):
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return self.tokenizer.decode(x)
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