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45 lines
No EOL
1.7 KiB
Python
45 lines
No EOL
1.7 KiB
Python
import json,os
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def bytes_to_unicode():
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"""
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Returns list of utf-8 byte and a corresponding list of unicode strings.
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The reversible bpe codes work on unicode strings.
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This means you need a large # of unicode characters in your vocab if you want to avoid UNKs.
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When you're at something like a 10B token dataset you end up needing around 5K for decent coverage.
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This is a signficant percentage of your normal, say, 32K bpe vocab.
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To avoid that, we want lookup tables between utf-8 bytes and unicode strings.
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And avoids mapping to whitespace/control characters the bpe code barfs on.
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"""
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bs = list(range(ord("!"), ord("~")+1))+list(range(ord("¡"), ord("¬")+1))+list(range(ord("®"), ord("ÿ")+1))
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cs = bs[:]
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n = 0
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for b in range(2**8):
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if b not in bs:
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bs.append(b)
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cs.append(2**8+n)
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n += 1
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cs = [chr(n) for n in cs]
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return dict(zip(bs, cs))
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byte_encoder = bytes_to_unicode()
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byte_decoder = {v:k for k, v in byte_encoder.items()}
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sortedbd = sorted(byte_decoder.items(), key=lambda kv: kv[1])
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tr = "{"
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for i in sortedbd:
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tr += "\""+i[0]+"\","
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tr += "}"
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print(tr)
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with open((os.path.dirname(os.path.realpath(__file__))+"/") + "rwkv_orig_vocab.json", "r", encoding="utf-8") as f:
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encoder = json.load(f)
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s = ""
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with open("rwkv_vocab.embd", "w", encoding="utf-8") as f2:
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for key in encoder:
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#key = bytearray([byte_decoder[c] for c in key]).decode('utf-8','ignore')
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# key = key.replace("\\","\\\\")
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# key = key.replace("\"","\\\"")
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# s += "\""+key+"\",\n"
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s += key +"\n"
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f2.write(s)
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print("OK") |