mirror of
https://github.com/LostRuins/koboldcpp.git
synced 2025-09-10 17:14:36 +00:00
628 lines
No EOL
19 KiB
C++
628 lines
No EOL
19 KiB
C++
#include "utils.h"
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#include "common.h"
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#include "llama.h"
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#include <cmath>
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#include <cstring>
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#include <fstream>
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#include <regex>
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#include <locale>
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#include <codecvt>
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#include <sstream>
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#include <ctime>
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#define MINIAUDIO_IMPLEMENTATION
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#ifndef MTMD_AUDIO_DEBUG
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# define MA_NO_ENCODING
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#endif
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#define MA_NO_DEVICE_IO
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#define MA_NO_RESOURCE_MANAGER
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#define MA_NO_NODE_GRAPH
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#define MA_NO_ENGINE
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#define MA_NO_GENERATION
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#define MA_API static
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#include "miniaudio/miniaudio.h"
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void utreplace(std::string & str, const std::string & needle, const std::string & replacement) {
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size_t pos = 0;
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while ((pos = str.find(needle, pos)) != std::string::npos) {
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str.replace(pos, needle.length(), replacement);
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pos += replacement.length();
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}
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}
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std::map<std::string, int32_t> json_parse(const std::string & fname) {
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std::map<std::string, int32_t> result;
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// read file into string
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std::string json;
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{
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std::ifstream ifs(fname);
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if (!ifs) {
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fprintf(stderr, "Failed to open %s\n", fname.c_str());
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exit(1);
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}
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json = std::string((std::istreambuf_iterator<char>(ifs)),
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(std::istreambuf_iterator<char>()));
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}
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if (json[0] != '{') {
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return result;
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}
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// parse json
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{
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bool has_key = false;
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bool in_token = false;
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std::string str_key = "";
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std::string str_val = "";
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int n = json.size();
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for (int i = 1; i < n; ++i) {
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if (!in_token) {
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if (json[i] == ' ') continue;
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if (json[i] == '"') {
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in_token = true;
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continue;
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}
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} else {
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if (json[i] == '\\' && i+1 < n) {
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if (has_key == false) {
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str_key += json[i];
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} else {
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str_val += json[i];
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}
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++i;
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} else if (json[i] == '"') {
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if (has_key == false) {
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has_key = true;
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++i;
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while (json[i] == ' ') ++i;
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++i; // :
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while (json[i] == ' ') ++i;
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if (json[i] != '\"') {
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while (json[i] != ',' && json[i] != '}') {
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str_val += json[i++];
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}
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has_key = false;
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} else {
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in_token = true;
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continue;
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}
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} else {
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has_key = false;
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}
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::utreplace(str_key, "\\u0120", " " ); // \u0120 -> space
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::utreplace(str_key, "\\u010a", "\n"); // \u010a -> new line
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::utreplace(str_key, "\\\"", "\""); // \\\" -> "
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try {
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result[str_key] = std::stoi(str_val);
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} catch (...) {
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//fprintf(stderr, "%s: ignoring key '%s' with value '%s'\n", fname.c_str(), str_key.c_str(), str_val.c_str());
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}
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str_key = "";
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str_val = "";
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in_token = false;
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continue;
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}
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if (has_key == false) {
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str_key += json[i];
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} else {
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str_val += json[i];
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}
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}
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}
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}
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return result;
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}
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void gpt_vocab::add_special_token(const std::string & token) {
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special_tokens.push_back(token);
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}
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std::string convert_to_utf8(const std::wstring & input) {
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std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
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return converter.to_bytes(input);
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}
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std::wstring convert_to_wstring(const std::string & input) {
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try {
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std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
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return converter.from_bytes(input);
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} catch (const std::range_error& e) {
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return L"";
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} catch (...) {
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return L"";
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}
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}
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void gpt_split_words(std::string str, std::vector<std::string>& words) {
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const std::string pattern = R"('s|'t|'re|'ve|'m|'ll|'d| ?[[:alpha:]]+| ?[[:digit:]]+| ?[^\s[:alpha:][:digit:]]+|\s+(?!\S)|\s+)";
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const std::regex re(pattern);
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std::smatch m;
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while (std::regex_search(str, m, re)) {
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for (auto x : m) {
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words.push_back(x);
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}
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str = m.suffix();
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}
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}
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std::vector<gpt_vocab::id> gpt_tokenize(const gpt_vocab & vocab, const std::string & text) {
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std::vector<std::string> words;
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// first split the text into words
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{
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std::string str = text;
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// Generate the subpattern from the special_tokens vector if it's not empty
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if (!vocab.special_tokens.empty()) {
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const std::regex escape(R"([\[\\\^\$\.\|\?\*\+\(\)\{\}])");
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std::string special_tokens_subpattern;
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for (const auto & token : vocab.special_tokens) {
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if (!special_tokens_subpattern.empty()) {
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special_tokens_subpattern += "|";
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}
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special_tokens_subpattern += std::regex_replace(token, escape, R"(\$&)");
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}
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std::regex re(special_tokens_subpattern);
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std::smatch m;
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// Split the text by special tokens.
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while (std::regex_search(str, m, re)) {
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// Split the substrings in-between special tokens into words.
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gpt_split_words(m.prefix(), words);
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// Add matched special tokens as words.
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for (auto x : m) {
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words.push_back(x);
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}
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str = m.suffix();
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}
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// Remaining text without special tokens will be handled below.
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}
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gpt_split_words(str, words);
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}
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// find the longest token that forms each word in words:
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std::vector<gpt_vocab::id> tokens;
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for (const auto & word : words) {
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for (int i = 0; i < word.size(); ){
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for (int j = word.size() - 1; j >= i; j--){
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auto cand = word.substr(i, j-i+1);
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auto it = vocab.token_to_id.find(cand);
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if (it != vocab.token_to_id.end()){ // word.substr(i, j-i+1) in vocab
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tokens.push_back(it->second);
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i = j + 1;
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break;
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}
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else if (j == i){ // word.substr(i, 1) has no matching
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fprintf(stderr, "%s: unknown token '%s'\n", __func__, word.substr(i, 1).data());
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i++;
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}
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}
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}
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}
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return tokens;
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}
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bool should_transpose_layer(std::string name)
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{
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if(name.find(".mlp.fc_in.weight")!=std::string::npos ||
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name.find(".attn.out_proj.weight")!=std::string::npos ||
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name.find(".attn.q_proj.weight")!=std::string::npos ||
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name.find(".attn.k_proj.weight")!=std::string::npos ||
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name.find(".attn.v_proj.weight")!=std::string::npos ||
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name.find("/attn/c_attn/w")!=std::string::npos ||
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name.find("/attn/c_proj/w")!=std::string::npos ||
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name.find("/mlp/c_fc/w")!=std::string::npos ||
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name.find("/mlp/c_proj/w")!=std::string::npos)
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{
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return true;
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}
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return false;
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}
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static const std::string kcpp_base64_chars =
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"ABCDEFGHIJKLMNOPQRSTUVWXYZ"
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"abcdefghijklmnopqrstuvwxyz"
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"0123456789+/";
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static inline bool kcpp_is_base64(uint8_t c)
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{
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return (isalnum(c) || (c == '+') || (c == '/'));
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}
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std::vector<uint8_t> kcpp_base64_decode(const std::string & encoded_string)
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{
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int i = 0;
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int j = 0;
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int in_ = 0;
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int in_len = encoded_string.size();
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uint8_t char_array_4[4];
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uint8_t char_array_3[3];
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std::vector<uint8_t> ret;
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while (in_len-- && (encoded_string[in_] != '=') && kcpp_is_base64(encoded_string[in_]))
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{
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char_array_4[i++] = encoded_string[in_]; in_++;
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if (i == 4)
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{
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for (i = 0; i <4; i++)
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{
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char_array_4[i] = kcpp_base64_chars.find(char_array_4[i]);
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}
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char_array_3[0] = ((char_array_4[0] ) << 2) + ((char_array_4[1] & 0x30) >> 4);
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char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
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char_array_3[2] = ((char_array_4[2] & 0x3) << 6) + char_array_4[3];
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for (i = 0; (i < 3); i++)
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{
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ret.push_back(char_array_3[i]);
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}
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i = 0;
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}
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}
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if (i)
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{
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for (j = i; j <4; j++)
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{
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char_array_4[j] = 0;
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}
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for (j = 0; j <4; j++)
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{
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char_array_4[j] = kcpp_base64_chars.find(char_array_4[j]);
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}
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char_array_3[0] = ((char_array_4[0] ) << 2) + ((char_array_4[1] & 0x30) >> 4);
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char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
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char_array_3[2] = ((char_array_4[2] & 0x3) << 6) + char_array_4[3];
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for (j = 0; (j < i - 1); j++)
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{
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ret.push_back(char_array_3[j]);
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}
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}
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return ret;
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}
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std::string kcpp_base64_encode(const unsigned char* data, unsigned int data_length) {
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const std::string base64_chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";
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std::string encoded;
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encoded.reserve(((data_length + 2) / 3) * 4);
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for (unsigned int i = 0; i < data_length; i += 3) {
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unsigned int triple = (data[i] << 16) + (i + 1 < data_length ? data[i + 1] << 8 : 0) + (i + 2 < data_length ? data[i + 2] : 0);
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encoded.push_back(base64_chars[(triple >> 18) & 0x3F]);
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encoded.push_back(base64_chars[(triple >> 12) & 0x3F]);
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if (i + 1 < data_length) {
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encoded.push_back(base64_chars[(triple >> 6) & 0x3F]);
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} else {
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encoded.push_back('=');
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}
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if (i + 2 < data_length) {
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encoded.push_back(base64_chars[triple & 0x3F]);
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} else {
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encoded.push_back('=');
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}
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}
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return encoded;
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}
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std::string kcpp_base64_encode(const std::string &data) {
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static const char lookup[] = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";
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std::string encoded;
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int val = 0, valb = -6;
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for (unsigned char c : data) {
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val = (val << 8) + c;
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valb += 8;
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while (valb >= 0) {
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encoded.push_back(lookup[(val >> valb) & 0x3F]);
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valb -= 6;
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}
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}
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if (valb > -6) {
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encoded.push_back(lookup[((val << 8) >> (valb + 8)) & 0x3F]);
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}
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while (encoded.size() % 4) {
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encoded.push_back('=');
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}
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return encoded;
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}
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std::string get_timestamp_str()
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{
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std::time_t t = std::time(nullptr);
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std::tm* now = std::localtime(&t);
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char buffer[16]; // Buffer to hold "hh:mm:ss" and null terminator
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std::sprintf(buffer, "%02d:%02d:%02d", now->tm_hour, now->tm_min, now->tm_sec);
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// Convert the buffer to a std::string
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std::string timestamp(buffer);
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return timestamp;
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}
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std::vector<float> resample_wav(const std::vector<float>& input, uint32_t input_rate, uint32_t output_rate) {
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size_t input_size = input.size();
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double ratio = static_cast<double>(output_rate) / input_rate;
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size_t newLength = static_cast<size_t>(input.size() * ratio);
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std::vector<float> output(newLength);
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// Perform simple linear interpolation resampling
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for (size_t i = 0; i < newLength; ++i) {
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double srcIndex = i / ratio;
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size_t srcIndexInt = static_cast<size_t>(srcIndex);
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double frac = srcIndex - srcIndexInt;
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if (srcIndexInt + 1 < input_size) {
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output[i] = static_cast<float>(input[srcIndexInt] * (1 - frac) + input[srcIndexInt + 1] * frac);
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} else {
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output[i] = input[srcIndexInt];
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}
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}
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return output;
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}
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//a very rudimentary all in one sampling function which has no dependencies
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int32_t kcpp_quick_sample(float * logits, const int n_logits, const std::vector<int32_t> & last_n_tokens, float rep_pen, float top_p, int top_k, float temp, std::mt19937 & rng)
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{
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if (temp <= 0) {
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// select the token with the highest logit directly
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float max_logit = logits[0];
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int32_t max_id = 0;
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for (int i = 1; i < n_logits; ++i) {
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if (logits[i] > max_logit) {
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max_logit = logits[i];
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max_id = i;
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}
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}
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return max_id;
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}
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top_k = (top_k<=0 || top_k>300)?300:top_k;
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top_k = std::min(top_k, n_logits);
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std::vector<std::pair<float, int32_t>> logits_id;
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logits_id.reserve(n_logits);
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//temperature sample
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const float scale = 1.0f/temp;
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//sample rep pen
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for (int i = 0; i < n_logits; ++i) {
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if (rep_pen>1.0f && std::find(last_n_tokens.begin(), last_n_tokens.end(), i) != last_n_tokens.end()) {
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// if score < 0 then repetition penalty has to multiplied to reduce the previous token probability
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if (logits[i] < 0.0f) {
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logits_id.push_back(std::make_pair((logits[i]*scale)*rep_pen, i));
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} else {
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logits_id.push_back(std::make_pair((logits[i]*scale)/rep_pen, i));
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}
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} else {
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logits_id.push_back(std::make_pair(logits[i]*scale, i));
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}
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}
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//sample top_k
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std::partial_sort(
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logits_id.begin(),
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logits_id.begin() + top_k, logits_id.end(),
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[](const std::pair<float, int32_t> & a, const std::pair<float, int32_t> & b) {
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return a.first > b.first;
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});
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logits_id.resize(top_k);
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// compute probs for the top k tokens
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std::vector<float> probs;
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probs.reserve(logits_id.size());
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float maxl = logits_id[0].first;
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double sum = 0.0;
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for (const auto & kv : logits_id) {
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const float p = expf(kv.first - maxl);
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probs.push_back(p);
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sum += p;
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}
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// normalize the probs
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for (auto & p : probs) {
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p /= sum;
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}
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//apply top p
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if (top_p < 1.0) {
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double cumsum = 0.0;
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for (int i = 0; i < (int) probs.size(); i++) {
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cumsum += probs[i];
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if (cumsum >= top_p) {
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probs.resize(i + 1);
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logits_id.resize(i + 1);
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break;
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}
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}
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}
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// normalize the probs
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for (auto & p : probs) {
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p /= sum;
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}
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std::discrete_distribution<> dist(probs.begin(), probs.end());
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int idx = dist(rng);
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return logits_id[idx].second;
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}
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kcpp_embd_batch::kcpp_embd_batch(float * embd, int32_t n_tokens, int32_t npast, bool use_mrope)
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{
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int32_t seq_id = 0;
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pos.resize(n_tokens * (use_mrope?4:1));
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std::fill(pos.begin(), pos.end(), 0);
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n_seq_id.resize(n_tokens);
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seq_ids.resize(n_tokens + 1);
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logits.resize(n_tokens);
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seq_id_0.resize(1);
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seq_id_0[0] = seq_id;
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seq_ids [n_tokens] = nullptr;
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batch = {
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/*n_tokens =*/ n_tokens,
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/*tokens =*/ nullptr,
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/*embd =*/ embd,
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/*pos =*/ pos.data(),
|
|
/*n_seq_id =*/ n_seq_id.data(),
|
|
/*seq_id =*/ seq_ids.data(),
|
|
/*logits =*/ logits.data(),
|
|
};
|
|
|
|
if(!use_mrope)
|
|
{
|
|
for (int i = 0; i < n_tokens; i++) {
|
|
batch.pos [i] = npast + i;
|
|
batch.n_seq_id[i] = 1;
|
|
batch.seq_id [i] = seq_id_0.data();
|
|
batch.logits [i] = false;
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for (int i = 0; i < n_tokens; i++) {
|
|
batch.n_seq_id[i] = 1;
|
|
batch.seq_id [i] = seq_id_0.data();
|
|
batch.logits [i] = false;
|
|
}
|
|
for (int j = 0; j < batch.n_tokens * 3; j++) {
|
|
batch.pos[j] = npast + (j % batch.n_tokens);
|
|
}
|
|
}
|
|
}
|
|
|
|
kcpp_embd_batch::kcpp_embd_batch(std::vector<llama_token> & tokens, int32_t npast, bool use_mrope, bool return_all_logits)
|
|
{
|
|
int32_t seq_id = 0;
|
|
int32_t n_tokens = tokens.size();
|
|
pos.resize(n_tokens * (use_mrope?4:1));
|
|
std::fill(pos.begin(), pos.end(), 0);
|
|
n_seq_id.resize(n_tokens);
|
|
seq_ids.resize(n_tokens + 1);
|
|
logits.resize(n_tokens);
|
|
seq_id_0.resize(1);
|
|
seq_id_0[0] = seq_id;
|
|
seq_ids[n_tokens] = nullptr;
|
|
batch = {
|
|
/*n_tokens =*/ n_tokens,
|
|
/*tokens =*/ tokens.data(),
|
|
/*embd =*/ nullptr,
|
|
/*pos =*/ pos.data(),
|
|
/*n_seq_id =*/ n_seq_id.data(),
|
|
/*seq_id =*/ seq_ids.data(),
|
|
/*logits =*/ logits.data(),
|
|
};
|
|
|
|
if(!use_mrope)
|
|
{
|
|
for (int i = 0; i < n_tokens; i++) {
|
|
batch.pos [i] = npast + i;
|
|
batch.n_seq_id[i] = 1;
|
|
batch.seq_id [i] = seq_id_0.data();
|
|
batch.logits [i] = (return_all_logits?true:false);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for (int i = 0; i < n_tokens; i++) {
|
|
batch.n_seq_id[i] = 1;
|
|
batch.seq_id [i] = seq_id_0.data();
|
|
batch.logits [i] = (return_all_logits?true:false);
|
|
}
|
|
for (int j = 0; j < batch.n_tokens * 3; j++) {
|
|
batch.pos[j] = npast + (j % batch.n_tokens);
|
|
}
|
|
}
|
|
batch.logits[n_tokens - 1] = true;
|
|
}
|
|
|
|
std::vector<std::string> split_string(const std::string& input, const std::string& separator) {
|
|
std::vector<std::string> result;
|
|
size_t start = 0;
|
|
size_t end = input.find(separator);
|
|
|
|
while (end != std::string::npos) {
|
|
result.push_back(input.substr(start, end - start));
|
|
start = end + separator.length();
|
|
end = input.find(separator, start);
|
|
}
|
|
|
|
// Add the remaining part after the last separator
|
|
result.push_back(input.substr(start));
|
|
|
|
return result;
|
|
}
|
|
|
|
|
|
static bool buf_is_audio_file(const char * buf, size_t len) {
|
|
if (len < 12) {
|
|
return false;
|
|
}
|
|
|
|
// RIFF ref: https://en.wikipedia.org/wiki/Resource_Interchange_File_Format
|
|
// WAV ref: https://www.mmsp.ece.mcgill.ca/Documents/AudioFormats/WAVE/WAVE.html
|
|
bool is_wav = memcmp(buf, "RIFF", 4) == 0 && memcmp(buf + 8, "WAVE", 4) == 0;
|
|
bool is_mp3 = len >= 3 && (
|
|
memcmp(buf, "ID3", 3) == 0 ||
|
|
// Check for MPEG sync word (simplified check)
|
|
((unsigned char)buf[0] == 0xFF && ((unsigned char)buf[1] & 0xE0) == 0xE0)
|
|
);
|
|
bool is_flac = memcmp(buf, "fLaC", 4) == 0;
|
|
|
|
return is_wav || is_mp3 || is_flac;
|
|
}
|
|
|
|
// returns true if the buffer is a valid audio file
|
|
bool kcpp_decode_audio_from_buf(const unsigned char * buf_in, size_t len, int target_sampler_rate, std::vector<float> & pcmf32_mono) {
|
|
if (!buf_is_audio_file((const char *)buf_in, len))
|
|
{
|
|
return false;
|
|
}
|
|
|
|
ma_result result;
|
|
const int channels = 1;
|
|
ma_decoder_config decoder_config = ma_decoder_config_init(ma_format_f32, channels, target_sampler_rate);
|
|
ma_decoder decoder;
|
|
|
|
result = ma_decoder_init_memory(buf_in, len, &decoder_config, &decoder);
|
|
if (result != MA_SUCCESS) {
|
|
return false;
|
|
}
|
|
|
|
ma_uint64 frame_count;
|
|
ma_uint64 frames_read;
|
|
result = ma_decoder_get_length_in_pcm_frames(&decoder, &frame_count);
|
|
if (result != MA_SUCCESS) {
|
|
ma_decoder_uninit(&decoder);
|
|
return false;
|
|
}
|
|
|
|
pcmf32_mono.resize(frame_count);
|
|
result = ma_decoder_read_pcm_frames(&decoder, pcmf32_mono.data(), frame_count, &frames_read);
|
|
if (result != MA_SUCCESS) {
|
|
ma_decoder_uninit(&decoder);
|
|
return false;
|
|
}
|
|
|
|
ma_decoder_uninit(&decoder);
|
|
return true;
|
|
} |