| 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: |
| |
| |
| |
| |
| s += key +"\n" |
| f2.write(s) |
|
|
| print("OK") |