koboldcpp/extra.cpp

72 lines
No EOL
2.1 KiB
C++

#include "extra.h"
#include <cassert>
#include <cstring>
#include <fstream>
#include <regex>
#include <iostream>
#include <iterator>
#include <queue>
#include <string>
#include <math.h>
#if defined(_MSC_VER) || defined(__MINGW32__)
#include <malloc.h> // using malloc.h with MSC/MINGW
#elif !defined(__FreeBSD__) && !defined(__NetBSD__)
#include <alloca.h>
#endif
// TODO: Calculate this constant from the vocabulary
#define MAX_TOKEN_LEN 18
// SentencePiece implementation after https://guillaume-be.github.io/2020-05-30/sentence_piece
std::vector<gpt_vocab::id> legacy_llama_tokenize(const gpt_vocab & vocab, const std::string & text, bool bos) {
std::vector<gpt_vocab::id> res;
std::vector<int> score;
std::vector<gpt_vocab::id> prev;
int len = text.length();
score.resize(len + 1);
prev.resize(len + 1);
// Forward pass
for (int i = 0; i < len; i++) {
int max_len = std::min(len - i, MAX_TOKEN_LEN);
for (int sub_len = 1; sub_len <= max_len; sub_len++) {
auto sub = text.substr(i, sub_len);
auto token = vocab.token_to_id.find(sub);
if (token != vocab.token_to_id.end()) {
int token_score = sub.length() * sub.length();
int local_score = score[i] + token_score;
int next = i + sub_len;
if (score[next] < local_score) {
score[next] = local_score;
prev[next] = (*token).second;
}
}
}
}
// Backward pass
int i = len;
while (i > 0) {
gpt_vocab::id token_id = prev[i];
if (token_id == 0) {
// TODO: Return error or something more meaningful
printf("failed to tokenize string!\n");
break;
}
res.push_back(token_id);
auto token = (*vocab.id_to_token.find(token_id)).second;
i -= token.length();
}
if (bos) {
res.push_back(1); // TODO: replace with vocab.bos
}
// Pieces are in reverse order so correct that
std::reverse(res.begin(), res.end());
return res;
}