fix CJK output again
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66fb0345e8
commit
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1 changed files with 61 additions and 24 deletions
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@ -1003,13 +1003,15 @@ class Llama:
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break
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token_end_position = 0
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for token in remaining_tokens:
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token_end_position += len(self.detokenize([token]))
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# Check if stop sequence is in the token
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if token_end_position >= (remaining_length - first_stop_position):
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break
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logprobs_or_none: Optional[CompletionLogprobs] = None
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if logprobs is not None:
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if logprobs is not None:
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# not sure how to handle this branch when dealing
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# with CJK output, so keep it unchanged
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for token in remaining_tokens:
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token_end_position += len(self.detokenize([token]))
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# Check if stop sequence is in the token
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if token_end_position > (remaining_length - first_stop_position):
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break
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token_str = self.detokenize([token]).decode(
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"utf-8", errors="ignore"
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)
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@ -1042,23 +1044,58 @@ class Llama:
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"token_logprobs": [current_logprobs[int(token)]],
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"top_logprobs": [top_logprob],
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}
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returned_tokens += 1
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yield {
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"id": completion_id,
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"object": "text_completion",
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"created": created,
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"model": model_name,
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"choices": [
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{
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"text": self.detokenize([token]).decode(
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"utf-8", errors="ignore"
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),
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"index": 0,
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"logprobs": logprobs_or_none,
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"finish_reason": None,
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}
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],
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}
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returned_tokens += 1
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yield {
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"id": completion_id,
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"object": "text_completion",
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"created": created,
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"model": model_name,
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"choices": [
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{
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"text": self.detokenize([token]).decode(
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"utf-8", errors="ignore"
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),
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"index": 0,
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"logprobs": logprobs_or_none,
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"finish_reason": None,
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}
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],
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}
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else:
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while len(remaining_tokens) > 0:
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decode_success = False
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for i in range(1, len(remaining_tokens) + 1):
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tokens = remaining_tokens[:i]
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try:
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bs = self.detokenize(tokens)
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text = bs.decode('utf-8')
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decode_success = True
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break
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except UnicodeError:
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pass
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if not decode_success:
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# all remaining tokens cannot be decoded to a UTF-8 character
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break
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token_end_position += len(bs)
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if token_end_position > (remaining_length - first_stop_position):
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break
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remaining_tokens = remaining_tokens[i:]
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returned_tokens += i
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yield {
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"id": completion_id,
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"object": "text_completion",
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"created": created,
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"model": model_name,
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"choices": [
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{
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"text": text,
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"index": 0,
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"logprobs": None,
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"finish_reason": None,
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}
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],
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}
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if len(completion_tokens) >= max_tokens:
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text = self.detokenize(completion_tokens)
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