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| import json,os | |
| def bytes_to_unicode(): | |
| """ | |
| Returns list of utf-8 byte and a corresponding list of unicode strings. | |
| The reversible bpe codes work on unicode strings. | |
| This means you need a large # of unicode characters in your vocab if you want to avoid UNKs. | |
| When you're at something like a 10B token dataset you end up needing around 5K for decent coverage. | |
| This is a signficant percentage of your normal, say, 32K bpe vocab. | |
| To avoid that, we want lookup tables between utf-8 bytes and unicode strings. | |
| And avoids mapping to whitespace/control characters the bpe code barfs on. | |
| """ | |
| bs = list(range(ord("!"), ord("~")+1))+list(range(ord("¡"), ord("¬")+1))+list(range(ord("®"), ord("ÿ")+1)) | |
| cs = bs[:] | |
| n = 0 | |
| for b in range(2**8): | |
| if b not in bs: | |
| bs.append(b) | |
| cs.append(2**8+n) | |
| n += 1 | |
| cs = [chr(n) for n in cs] | |
| return dict(zip(bs, cs)) | |
| byte_encoder = bytes_to_unicode() | |
| byte_decoder = {v:k for k, v in byte_encoder.items()} | |
| sortedbd = sorted(byte_decoder.items(), key=lambda kv: kv[1]) | |
| tr = "{" | |
| for i in sortedbd: | |
| tr += "\""+i[0]+"\"," | |
| tr += "}" | |
| print(tr) | |
| with open((os.path.dirname(os.path.realpath(__file__))+"/") + "rwkv_orig_vocab.json", "r", encoding="utf-8") as f: | |
| encoder = json.load(f) | |
| s = "" | |
| with open("rwkv_vocab.embd", "w", encoding="utf-8") as f2: | |
| for key in encoder: | |
| #key = bytearray([byte_decoder[c] for c in key]).decode('utf-8','ignore') | |
| # key = key.replace("\\","\\\\") | |
| # key = key.replace("\"","\\\"") | |
| # s += "\""+key+"\",\n" | |
| s += key +"\n" | |
| f2.write(s) | |
| print("OK") |