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| from megatron.core.datasets.megatron_tokenizer import MegatronLegacyTokenizer as MegatronTokenizer |
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|
| class NullTokenizer(MegatronTokenizer): |
| """ |
| Synthetic tokenizer for performance benchmarking and debugging |
| |
| Args: |
| vocab_size: vocabulary size for embedding |
| """ |
|
|
| def __init__(self, vocab_size): |
| super().__init__(None, vocab_size=vocab_size) |
| self._vocab_size_without_eod = int(vocab_size) |
| self._eod_id = self._vocab_size_without_eod |
|
|
| def tokenize(self, text): |
| return [int(x) for x in text.split(' ')] |
|
|
| def detokenize(self, ids): |
| text = [str(x) for x in ids] |
| return ' '.join(text) |
|
|
| def offsets(self, ids: list[int], text: str) -> list[int]: |
| offsets, start_idx = [], 0 |
| for id_ in ids: |
| offsets.append(start_idx) |
| start_idx += 1 + len(str(id_)) |
| return offsets |
|
|
| @property |
| def vocab_size(self): |
| return self._vocab_size_without_eod + 1 |
|
|
| @property |
| def vocab(self): |
| raise NotImplementedError |
|
|
| @property |
| def inv_vocab(self): |
| raise NotImplementedError |
|
|
| @property |
| def cls(self): |
| return -1 |
|
|
| @property |
| def sep(self): |
| return -1 |
|
|
| @property |
| def mask(self): |
| return -1 |
|
|
| @property |
| def eod(self): |
| return self._eod_id |
|
|
| @property |
| def additional_special_tokens_ids(self): |
| return None |
|
|