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https://github.com/leejet/stable-diffusion.cpp.git
synced 2026-09-29 01:18:05 -05:00
refactor: introduce shared tokenizer abstraction and split implementations (#1423)
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@@ -0,0 +1,116 @@
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#include "clip_tokenizer.h"
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#include <algorithm>
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#include <cctype>
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#include <cmath>
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#include <regex>
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#include <set>
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#include "ggml.h"
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#include "tokenize_util.h"
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#include "util.h"
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#include "vocab/vocab.h"
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CLIPTokenizer::CLIPTokenizer(int pad_token_id, const std::string& merges_utf8_str) {
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UNK_TOKEN = "<|endoftext|>";
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BOS_TOKEN = "<|startoftext|>";
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EOS_TOKEN = "<|endoftext|>";
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PAD_TOKEN = "<|endoftext|>";
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UNK_TOKEN_ID = 49407;
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BOS_TOKEN_ID = 49406;
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EOS_TOKEN_ID = 49407;
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PAD_TOKEN_ID = pad_token_id;
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end_of_word_suffix = "</w>";
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add_bos_token = true;
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add_eos_token = true;
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if (merges_utf8_str.size() > 0) {
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load_from_merges(merges_utf8_str);
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} else {
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load_from_merges(load_clip_merges());
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}
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add_special_token("<|startoftext|>");
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add_special_token("<|endoftext|>");
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}
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void CLIPTokenizer::load_from_merges(const std::string& merges_utf8_str) {
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auto byte_unicode_pairs = bytes_to_unicode();
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byte_encoder = std::map<int, std::u32string>(byte_unicode_pairs.begin(), byte_unicode_pairs.end());
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for (auto& pair : byte_unicode_pairs) {
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byte_decoder[pair.second] = pair.first;
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}
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std::vector<std::u32string> merges = split_utf32(merges_utf8_str);
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GGML_ASSERT(merges.size() == 48895);
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merges = std::vector<std::u32string>(merges.begin() + 1, merges.end());
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std::vector<std::pair<std::u32string, std::u32string>> merge_pairs;
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for (const auto& merge : merges) {
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size_t space_pos = merge.find(' ');
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merge_pairs.emplace_back(merge.substr(0, space_pos), merge.substr(space_pos + 1));
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}
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std::vector<std::u32string> vocab;
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for (const auto& pair : byte_unicode_pairs) {
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vocab.push_back(pair.second);
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}
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for (const auto& pair : byte_unicode_pairs) {
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vocab.push_back(pair.second + utf8_to_utf32("</w>"));
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}
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for (const auto& merge : merge_pairs) {
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vocab.push_back(merge.first + merge.second);
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}
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vocab.push_back(utf8_to_utf32("<|startoftext|>"));
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vocab.push_back(utf8_to_utf32("<|endoftext|>"));
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LOG_DEBUG("vocab size: %llu", vocab.size());
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int i = 0;
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for (const auto& token : vocab) {
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encoder[token] = i;
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decoder[i] = token;
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i++;
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}
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encoder_len = i;
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int rank = 0;
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for (const auto& merge : merge_pairs) {
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bpe_ranks[merge] = rank++;
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}
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bpe_len = rank;
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}
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static std::string strip(const std::string& str) {
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std::string::size_type start = str.find_first_not_of(" \t\n\r\v\f");
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std::string::size_type end = str.find_last_not_of(" \t\n\r\v\f");
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if (start == std::string::npos) {
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return "";
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}
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return str.substr(start, end - start + 1);
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}
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static std::string whitespace_clean(const std::string& text) {
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auto result = std::regex_replace(text, std::regex(R"(\s+)"), " ");
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result = strip(result);
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return result;
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}
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std::string CLIPTokenizer::normalize(const std::string& text) const {
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auto normalized_text = whitespace_clean(text);
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std::transform(normalized_text.begin(), normalized_text.end(), normalized_text.begin(), [](unsigned char c) { return static_cast<char>(std::tolower(c)); });
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return normalized_text;
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}
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std::vector<std::string> CLIPTokenizer::token_split(const std::string& text) const {
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std::regex clip_pat(R"('s|'t|'re|'ve|'m|'ll|'d|[[:alpha:]]+|[[:digit:]]|[^[:space:][:alpha:][:digit:]]+)",
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std::regex::icase);
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std::sregex_iterator iter(text.begin(), text.end(), clip_pat);
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std::sregex_iterator end;
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std::vector<std::string> result;
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for (; iter != end; ++iter) {
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result.emplace_back(iter->str());
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}
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return result;
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}
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