mirror of
https://github.com/LostRuins/koboldcpp.git
synced 2026-05-07 09:02:04 +00:00
909 lines
No EOL
29 KiB
C++
909 lines
No EOL
29 KiB
C++
#include "utils.h"
|
|
#include "common.h"
|
|
#include "llama.h"
|
|
|
|
#include <cmath>
|
|
#include <cstring>
|
|
#include <fstream>
|
|
#include <regex>
|
|
#include <locale>
|
|
#include <codecvt>
|
|
#include <sstream>
|
|
#include <ctime>
|
|
|
|
#define MINIAUDIO_IMPLEMENTATION
|
|
#ifndef MTMD_AUDIO_DEBUG
|
|
# define MA_NO_ENCODING
|
|
#endif
|
|
#define MA_NO_DEVICE_IO
|
|
#define MA_NO_RESOURCE_MANAGER
|
|
#define MA_NO_NODE_GRAPH
|
|
#define MA_NO_ENGINE
|
|
#define MA_NO_GENERATION
|
|
// #define MA_API static
|
|
#include "miniaudio/miniaudio.h"
|
|
|
|
void utreplace(std::string & str, const std::string & needle, const std::string & replacement) {
|
|
size_t pos = 0;
|
|
while ((pos = str.find(needle, pos)) != std::string::npos) {
|
|
str.replace(pos, needle.length(), replacement);
|
|
pos += replacement.length();
|
|
}
|
|
}
|
|
|
|
std::map<std::string, int32_t> json_parse(const std::string & fname) {
|
|
std::map<std::string, int32_t> result;
|
|
|
|
// read file into string
|
|
std::string json;
|
|
{
|
|
std::ifstream ifs(fname);
|
|
if (!ifs) {
|
|
fprintf(stderr, "Failed to open %s\n", fname.c_str());
|
|
exit(1);
|
|
}
|
|
|
|
json = std::string((std::istreambuf_iterator<char>(ifs)),
|
|
(std::istreambuf_iterator<char>()));
|
|
}
|
|
|
|
if (json[0] != '{') {
|
|
return result;
|
|
}
|
|
|
|
// parse json
|
|
{
|
|
bool has_key = false;
|
|
bool in_token = false;
|
|
|
|
std::string str_key = "";
|
|
std::string str_val = "";
|
|
|
|
int n = json.size();
|
|
for (int i = 1; i < n; ++i) {
|
|
if (!in_token) {
|
|
if (json[i] == ' ') continue;
|
|
if (json[i] == '"') {
|
|
in_token = true;
|
|
continue;
|
|
}
|
|
} else {
|
|
if (json[i] == '\\' && i+1 < n) {
|
|
if (has_key == false) {
|
|
str_key += json[i];
|
|
} else {
|
|
str_val += json[i];
|
|
}
|
|
++i;
|
|
} else if (json[i] == '"') {
|
|
if (has_key == false) {
|
|
has_key = true;
|
|
++i;
|
|
while (json[i] == ' ') ++i;
|
|
++i; // :
|
|
while (json[i] == ' ') ++i;
|
|
if (json[i] != '\"') {
|
|
while (json[i] != ',' && json[i] != '}') {
|
|
str_val += json[i++];
|
|
}
|
|
has_key = false;
|
|
} else {
|
|
in_token = true;
|
|
continue;
|
|
}
|
|
} else {
|
|
has_key = false;
|
|
}
|
|
|
|
::utreplace(str_key, "\\u0120", " " ); // \u0120 -> space
|
|
::utreplace(str_key, "\\u010a", "\n"); // \u010a -> new line
|
|
::utreplace(str_key, "\\\"", "\""); // \\\" -> "
|
|
|
|
try {
|
|
result[str_key] = std::stoi(str_val);
|
|
} catch (...) {
|
|
//fprintf(stderr, "%s: ignoring key '%s' with value '%s'\n", fname.c_str(), str_key.c_str(), str_val.c_str());
|
|
|
|
}
|
|
str_key = "";
|
|
str_val = "";
|
|
in_token = false;
|
|
continue;
|
|
}
|
|
if (has_key == false) {
|
|
str_key += json[i];
|
|
} else {
|
|
str_val += json[i];
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
|
|
void gpt_vocab::add_special_token(const std::string & token) {
|
|
special_tokens.push_back(token);
|
|
}
|
|
|
|
|
|
std::string convert_to_utf8(const std::wstring & input) {
|
|
std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
|
|
return converter.to_bytes(input);
|
|
}
|
|
|
|
|
|
std::wstring convert_to_wstring(const std::string & input) {
|
|
try {
|
|
std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
|
|
return converter.from_bytes(input);
|
|
} catch (const std::range_error& e) {
|
|
return L"";
|
|
} catch (...) {
|
|
return L"";
|
|
}
|
|
}
|
|
|
|
void gpt_split_words(std::string str, std::vector<std::string>& words) {
|
|
const std::string pattern = R"('s|'t|'re|'ve|'m|'ll|'d| ?[[:alpha:]]+| ?[[:digit:]]+| ?[^\s[:alpha:][:digit:]]+|\s+(?!\S)|\s+)";
|
|
const std::regex re(pattern);
|
|
std::smatch m;
|
|
|
|
while (std::regex_search(str, m, re)) {
|
|
for (auto x : m) {
|
|
words.push_back(x);
|
|
}
|
|
str = m.suffix();
|
|
}
|
|
}
|
|
|
|
std::vector<gpt_vocab::id> gpt_tokenize(const gpt_vocab & vocab, const std::string & text) {
|
|
std::vector<std::string> words;
|
|
|
|
// first split the text into words
|
|
{
|
|
std::string str = text;
|
|
|
|
// Generate the subpattern from the special_tokens vector if it's not empty
|
|
if (!vocab.special_tokens.empty()) {
|
|
const std::regex escape(R"([\[\\\^\$\.\|\?\*\+\(\)\{\}])");
|
|
std::string special_tokens_subpattern;
|
|
for (const auto & token : vocab.special_tokens) {
|
|
if (!special_tokens_subpattern.empty()) {
|
|
special_tokens_subpattern += "|";
|
|
}
|
|
special_tokens_subpattern += std::regex_replace(token, escape, R"(\$&)");
|
|
}
|
|
|
|
std::regex re(special_tokens_subpattern);
|
|
std::smatch m;
|
|
// Split the text by special tokens.
|
|
while (std::regex_search(str, m, re)) {
|
|
// Split the substrings in-between special tokens into words.
|
|
gpt_split_words(m.prefix(), words);
|
|
// Add matched special tokens as words.
|
|
for (auto x : m) {
|
|
words.push_back(x);
|
|
}
|
|
str = m.suffix();
|
|
}
|
|
// Remaining text without special tokens will be handled below.
|
|
}
|
|
|
|
gpt_split_words(str, words);
|
|
}
|
|
|
|
// find the longest token that forms each word in words:
|
|
std::vector<gpt_vocab::id> tokens;
|
|
for (const auto & word : words) {
|
|
for (int i = 0; i < word.size(); ){
|
|
for (int j = word.size() - 1; j >= i; j--){
|
|
auto cand = word.substr(i, j-i+1);
|
|
auto it = vocab.token_to_id.find(cand);
|
|
if (it != vocab.token_to_id.end()){ // word.substr(i, j-i+1) in vocab
|
|
tokens.push_back(it->second);
|
|
i = j + 1;
|
|
break;
|
|
}
|
|
else if (j == i){ // word.substr(i, 1) has no matching
|
|
fprintf(stderr, "%s: unknown token '%s'\n", __func__, word.substr(i, 1).data());
|
|
i++;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
return tokens;
|
|
}
|
|
|
|
bool should_transpose_layer(std::string name)
|
|
{
|
|
|
|
if(name.find(".mlp.fc_in.weight")!=std::string::npos ||
|
|
name.find(".attn.out_proj.weight")!=std::string::npos ||
|
|
name.find(".attn.q_proj.weight")!=std::string::npos ||
|
|
name.find(".attn.k_proj.weight")!=std::string::npos ||
|
|
name.find(".attn.v_proj.weight")!=std::string::npos ||
|
|
name.find("/attn/c_attn/w")!=std::string::npos ||
|
|
name.find("/attn/c_proj/w")!=std::string::npos ||
|
|
name.find("/mlp/c_fc/w")!=std::string::npos ||
|
|
name.find("/mlp/c_proj/w")!=std::string::npos)
|
|
{
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
static const std::string kcpp_base64_chars =
|
|
"ABCDEFGHIJKLMNOPQRSTUVWXYZ"
|
|
"abcdefghijklmnopqrstuvwxyz"
|
|
"0123456789+/";
|
|
static inline bool kcpp_is_base64(uint8_t c)
|
|
{
|
|
return (isalnum(c) || (c == '+') || (c == '/'));
|
|
}
|
|
std::vector<uint8_t> kcpp_base64_decode(const std::string & encoded_string)
|
|
{
|
|
int i = 0;
|
|
int j = 0;
|
|
int in_ = 0;
|
|
|
|
int in_len = encoded_string.size();
|
|
|
|
uint8_t char_array_4[4];
|
|
uint8_t char_array_3[3];
|
|
|
|
std::vector<uint8_t> ret;
|
|
|
|
while (in_len-- && (encoded_string[in_] != '=') && kcpp_is_base64(encoded_string[in_]))
|
|
{
|
|
char_array_4[i++] = encoded_string[in_]; in_++;
|
|
if (i == 4)
|
|
{
|
|
for (i = 0; i <4; i++)
|
|
{
|
|
char_array_4[i] = kcpp_base64_chars.find(char_array_4[i]);
|
|
}
|
|
|
|
char_array_3[0] = ((char_array_4[0] ) << 2) + ((char_array_4[1] & 0x30) >> 4);
|
|
char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
|
|
char_array_3[2] = ((char_array_4[2] & 0x3) << 6) + char_array_4[3];
|
|
|
|
for (i = 0; (i < 3); i++)
|
|
{
|
|
ret.push_back(char_array_3[i]);
|
|
}
|
|
i = 0;
|
|
}
|
|
}
|
|
|
|
if (i)
|
|
{
|
|
for (j = i; j <4; j++)
|
|
{
|
|
char_array_4[j] = 0;
|
|
}
|
|
|
|
for (j = 0; j <4; j++)
|
|
{
|
|
char_array_4[j] = kcpp_base64_chars.find(char_array_4[j]);
|
|
}
|
|
|
|
char_array_3[0] = ((char_array_4[0] ) << 2) + ((char_array_4[1] & 0x30) >> 4);
|
|
char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
|
|
char_array_3[2] = ((char_array_4[2] & 0x3) << 6) + char_array_4[3];
|
|
|
|
for (j = 0; (j < i - 1); j++)
|
|
{
|
|
ret.push_back(char_array_3[j]);
|
|
}
|
|
}
|
|
|
|
return ret;
|
|
}
|
|
std::string kcpp_base64_encode(const unsigned char* data, unsigned int data_length) {
|
|
const std::string base64_chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";
|
|
std::string encoded;
|
|
encoded.reserve(((data_length + 2) / 3) * 4);
|
|
for (unsigned int i = 0; i < data_length; i += 3) {
|
|
unsigned int triple = (data[i] << 16) + (i + 1 < data_length ? data[i + 1] << 8 : 0) + (i + 2 < data_length ? data[i + 2] : 0);
|
|
encoded.push_back(base64_chars[(triple >> 18) & 0x3F]);
|
|
encoded.push_back(base64_chars[(triple >> 12) & 0x3F]);
|
|
if (i + 1 < data_length) {
|
|
encoded.push_back(base64_chars[(triple >> 6) & 0x3F]);
|
|
} else {
|
|
encoded.push_back('=');
|
|
}
|
|
if (i + 2 < data_length) {
|
|
encoded.push_back(base64_chars[triple & 0x3F]);
|
|
} else {
|
|
encoded.push_back('=');
|
|
}
|
|
}
|
|
return encoded;
|
|
}
|
|
std::string kcpp_base64_encode(const std::string &data) {
|
|
static const char lookup[] = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";
|
|
std::string encoded;
|
|
int val = 0, valb = -6;
|
|
for (unsigned char c : data) {
|
|
val = (val << 8) + c;
|
|
valb += 8;
|
|
while (valb >= 0) {
|
|
encoded.push_back(lookup[(val >> valb) & 0x3F]);
|
|
valb -= 6;
|
|
}
|
|
}
|
|
if (valb > -6) {
|
|
encoded.push_back(lookup[((val << 8) >> (valb + 8)) & 0x3F]);
|
|
}
|
|
while (encoded.size() % 4) {
|
|
encoded.push_back('=');
|
|
}
|
|
return encoded;
|
|
}
|
|
|
|
std::string get_timestamp_str()
|
|
{
|
|
std::time_t t = std::time(nullptr);
|
|
std::tm* now = std::localtime(&t);
|
|
char buffer[16]; // Buffer to hold "hh:mm:ss" and null terminator
|
|
std::sprintf(buffer, "%02d:%02d:%02d", now->tm_hour, now->tm_min, now->tm_sec);
|
|
// Convert the buffer to a std::string
|
|
std::string timestamp(buffer);
|
|
return timestamp;
|
|
}
|
|
|
|
//split a big vector into multiple small vectors of chunk size or less
|
|
std::vector<std::vector<int>> split_big_vector(const std::vector<int>& big_arr, size_t chunk_size) {
|
|
std::vector<std::vector<int>> small_arrs;
|
|
for (size_t i = 0; i < big_arr.size(); i += chunk_size) {
|
|
size_t end = std::min(i + chunk_size, big_arr.size());
|
|
small_arrs.emplace_back(big_arr.begin() + i, big_arr.begin() + end);
|
|
}
|
|
return small_arrs;
|
|
}
|
|
|
|
std::vector<std::vector<int>> split_big_vector_in_two(const std::vector<int>& big_arr, size_t chunk_size)
|
|
{
|
|
std::vector<std::vector<int>> result;
|
|
if (chunk_size == 0 || big_arr.empty())
|
|
return result;
|
|
|
|
if (big_arr.size() <= chunk_size) {
|
|
// Only one chunk (all elements)
|
|
result.emplace_back(big_arr);
|
|
return result;
|
|
}
|
|
size_t split_point = big_arr.size() - chunk_size;
|
|
result.emplace_back(big_arr.begin(), big_arr.begin() + split_point); // First big chunk
|
|
result.emplace_back(big_arr.begin() + split_point, big_arr.end()); // Last chunk (size <= chunk_size)
|
|
return result;
|
|
}
|
|
|
|
std::vector<float> resample_wav(const std::vector<float> & input, uint32_t input_rate, uint32_t output_rate) {
|
|
if (input.empty() || input_rate == 0 || output_rate == 0)
|
|
return {};
|
|
|
|
const size_t input_size = input.size();
|
|
const double ratio = static_cast<double>(output_rate) / input_rate; // Compute resampling ratio
|
|
// Use rounding to avoid systematic truncation error
|
|
const size_t output_size = static_cast<size_t>(std::llround(input_size * ratio));
|
|
std::vector<float> output(output_size);
|
|
const double step = static_cast<double>(input_rate) / output_rate; // Precompute step in source domain
|
|
double src_pos = 0.0;
|
|
for (size_t i = 0; i < output_size; ++i)
|
|
{
|
|
size_t idx = static_cast<size_t>(src_pos);
|
|
if (idx >= input_size - 1) // Clamp to valid range (prevents out-of-bounds)
|
|
{
|
|
output[i] = input[input_size - 1];
|
|
}
|
|
else
|
|
{
|
|
const double frac = src_pos - idx;
|
|
const float s0 = input[idx];
|
|
const float s1 = input[idx + 1];
|
|
output[i] = static_cast<float>(s0 + (s1 - s0) * frac);
|
|
}
|
|
src_pos += step;
|
|
}
|
|
return output;
|
|
}
|
|
|
|
std::vector<float> mix_planar_stereo_to_mono(const float* audio, int T_audio)
|
|
{
|
|
std::vector<float> mono(T_audio);
|
|
const float* left = audio;
|
|
const float* right = audio + T_audio;
|
|
for (int t = 0; t < T_audio; ++t)
|
|
{
|
|
mono[t] = 0.5f * (left[t] + right[t]);
|
|
}
|
|
return mono;
|
|
}
|
|
|
|
static uint8_t linear_to_mulaw(int16_t sample)
|
|
{
|
|
const int16_t BIAS = 0x84; // 132
|
|
const int16_t CLIP = 32635;
|
|
|
|
int16_t sign = (sample >> 8) & 0x80;
|
|
if (sign)
|
|
sample = -sample;
|
|
|
|
if (sample > CLIP)
|
|
sample = CLIP;
|
|
|
|
sample += BIAS;
|
|
|
|
int16_t exponent = 7;
|
|
for (int16_t expMask = 0x4000;
|
|
(sample & expMask) == 0 && exponent > 0;
|
|
exponent--, expMask >>= 1);
|
|
|
|
int16_t mantissa = (sample >> (exponent + 3)) & 0x0F;
|
|
|
|
uint8_t ulaw = ~(sign | (exponent << 4) | mantissa);
|
|
return ulaw;
|
|
}
|
|
|
|
std::string save_ulaw_wav8_base64(const std::vector<float> &data, int sample_rate)
|
|
{
|
|
std::ostringstream oss;
|
|
wav_ulaw_header header;
|
|
|
|
header.sample_rate = sample_rate;
|
|
header.byte_rate = sample_rate; // 1 byte per sample (mono)
|
|
header.block_align = 1;
|
|
header.data_size = static_cast<uint32_t>(data.size());
|
|
header.chunk_size = 4 // "WAVE"
|
|
+ 8 + header.fmt_chunk_size
|
|
+ 8 + header.data_size;
|
|
|
|
// Write header
|
|
oss.write(reinterpret_cast<const char*>(&header), sizeof(header));
|
|
|
|
// Convert and write samples
|
|
for (float s : data)
|
|
{
|
|
float clamped = std::clamp(s, -1.0f, 1.0f);
|
|
int16_t pcm = static_cast<int16_t>(clamped * 32767.0f);
|
|
uint8_t mu = linear_to_mulaw(pcm);
|
|
oss.write(reinterpret_cast<const char*>(&mu), 1);
|
|
}
|
|
|
|
std::string wav_data = oss.str();
|
|
return kcpp_base64_encode(wav_data);
|
|
}
|
|
|
|
std::string save_wav16_base64(const std::vector<float> &data, int sample_rate) {
|
|
std::ostringstream oss;
|
|
wav16_header header;
|
|
|
|
// Fill header fields
|
|
header.sample_rate = sample_rate;
|
|
header.byte_rate = header.sample_rate * header.num_channels * (header.bits_per_sample / 8);
|
|
header.block_align = header.num_channels * (header.bits_per_sample / 8);
|
|
header.data_size = data.size() * (header.bits_per_sample / 8);
|
|
header.chunk_size = 36 + header.data_size;
|
|
|
|
// Write header
|
|
oss.write(reinterpret_cast<const char*>(&header), sizeof(header));
|
|
|
|
// Write samples
|
|
for (const auto &sample : data) {
|
|
int16_t pcm_sample = static_cast<int16_t>(std::clamp(sample * 32767.0, -32768.0, 32767.0));
|
|
oss.write(reinterpret_cast<const char*>(&pcm_sample), sizeof(pcm_sample));
|
|
}
|
|
|
|
// Get binary WAV data
|
|
std::string wav_data = oss.str();
|
|
return kcpp_base64_encode(wav_data); //return as base64 string
|
|
}
|
|
|
|
//assumes planar stereo input from acestep
|
|
std::string save_stereo_wav16_base64(const std::vector<float> & raw_audio, int T_audio, int sample_rate) {
|
|
std::ostringstream oss(std::ios::binary);
|
|
const int n_channels = 2;
|
|
const int bits = 16;
|
|
const int byte_rate = sample_rate * n_channels * (bits / 8);
|
|
const int block_align = n_channels * (bits / 8);
|
|
const int data_size = T_audio * n_channels * (bits / 8);
|
|
const int file_size = 36 + data_size;
|
|
oss.write("RIFF", 4);
|
|
oss.write(reinterpret_cast<const char*>(&file_size), 4);
|
|
oss.write("WAVE", 4);
|
|
oss.write("fmt ", 4);
|
|
int32_t fmt_size = 16;
|
|
oss.write(reinterpret_cast<const char*>(&fmt_size), 4);
|
|
int16_t audio_fmt = 1; // PCM
|
|
oss.write(reinterpret_cast<const char*>(&audio_fmt), 2);
|
|
int16_t nc = n_channels;
|
|
oss.write(reinterpret_cast<const char*>(&nc), 2);
|
|
oss.write(reinterpret_cast<const char*>(&sample_rate), 4);
|
|
oss.write(reinterpret_cast<const char*>(&byte_rate), 4);
|
|
int16_t ba = block_align;
|
|
oss.write(reinterpret_cast<const char*>(&ba), 2);
|
|
int16_t bp = bits;
|
|
oss.write(reinterpret_cast<const char*>(&bp), 2);
|
|
oss.write("data", 4);
|
|
oss.write(reinterpret_cast<const char*>(&data_size), 4);
|
|
|
|
// EXPECTS PLANAR INPUT:
|
|
// raw_audio[0 ... T_audio-1] = Left
|
|
// raw_audio[T_audio ... 2*T_audio-1] = Right
|
|
for (int t = 0; t < T_audio; ++t) {
|
|
for (int c = 0; c < 2; ++c) {
|
|
float s = raw_audio[c * T_audio + t];
|
|
s = std::max(-1.0f, std::min(1.0f, s)); // clamp to [-1, 1]
|
|
int16_t v = static_cast<int16_t>(s * 32767.0f);
|
|
oss.write(reinterpret_cast<const char*>(&v), 2);
|
|
}
|
|
}
|
|
std::string wav_data = oss.str();
|
|
return kcpp_base64_encode(wav_data);
|
|
}
|
|
|
|
//a very rudimentary all in one sampling function which has no dependencies
|
|
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)
|
|
{
|
|
if (temp <= 0) {
|
|
// select the token with the highest logit directly
|
|
float max_logit = logits[0];
|
|
int32_t max_id = 0;
|
|
for (int i = 1; i < n_logits; ++i) {
|
|
if (logits[i] > max_logit) {
|
|
max_logit = logits[i];
|
|
max_id = i;
|
|
}
|
|
}
|
|
return max_id;
|
|
}
|
|
|
|
top_k = (top_k<=0 || top_k>300)?300:top_k;
|
|
top_k = std::min(top_k, n_logits);
|
|
|
|
std::vector<std::pair<float, int32_t>> logits_id;
|
|
logits_id.reserve(n_logits);
|
|
|
|
//temperature sample
|
|
const float scale = 1.0f/temp;
|
|
|
|
//sample rep pen
|
|
for (int i = 0; i < n_logits; ++i) {
|
|
if (rep_pen>1.0f && std::find(last_n_tokens.begin(), last_n_tokens.end(), i) != last_n_tokens.end()) {
|
|
// if score < 0 then repetition penalty has to multiplied to reduce the previous token probability
|
|
if (logits[i] < 0.0f) {
|
|
logits_id.push_back(std::make_pair((logits[i]*scale)*rep_pen, i));
|
|
} else {
|
|
logits_id.push_back(std::make_pair((logits[i]*scale)/rep_pen, i));
|
|
}
|
|
} else {
|
|
logits_id.push_back(std::make_pair(logits[i]*scale, i));
|
|
}
|
|
}
|
|
|
|
//sample top_k
|
|
std::partial_sort(
|
|
logits_id.begin(),
|
|
logits_id.begin() + top_k, logits_id.end(),
|
|
[](const std::pair<float, int32_t> & a, const std::pair<float, int32_t> & b) {
|
|
return a.first > b.first;
|
|
});
|
|
logits_id.resize(top_k);
|
|
|
|
// compute probs for the top k tokens
|
|
std::vector<float> probs;
|
|
probs.reserve(logits_id.size());
|
|
float maxl = logits_id[0].first;
|
|
double sum = 0.0;
|
|
for (const auto & kv : logits_id) {
|
|
const float p = expf(kv.first - maxl);
|
|
probs.push_back(p);
|
|
sum += p;
|
|
}
|
|
|
|
// normalize the probs
|
|
for (auto & p : probs) {
|
|
p /= sum;
|
|
}
|
|
|
|
//apply top p
|
|
if (top_p < 1.0) {
|
|
double cumsum = 0.0;
|
|
for (int i = 0; i < (int) probs.size(); i++) {
|
|
cumsum += probs[i];
|
|
if (cumsum >= top_p) {
|
|
probs.resize(i + 1);
|
|
logits_id.resize(i + 1);
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
// normalize the probs
|
|
for (auto & p : probs) {
|
|
p /= sum;
|
|
}
|
|
|
|
std::discrete_distribution<> dist(probs.begin(), probs.end());
|
|
int idx = dist(rng);
|
|
|
|
return logits_id[idx].second;
|
|
}
|
|
|
|
void kcpp_embd_batch::init_kcpp_batch(int32_t n_tokens,
|
|
int32_t npast,
|
|
bool use_mrope,
|
|
bool return_all_logits,
|
|
bool mrope_is_image,
|
|
int img_nx,
|
|
int img_ny) {
|
|
const int n_pos_per_embd = use_mrope ? 4 : 1;
|
|
const llama_seq_id seq_id = 0;
|
|
|
|
if (use_mrope && mrope_is_image) {
|
|
GGML_ASSERT(img_nx > 0 && img_ny > 0);
|
|
GGML_ASSERT(img_nx * img_ny == n_tokens);
|
|
}
|
|
|
|
pos.resize(n_tokens * n_pos_per_embd);
|
|
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.pos = pos.data();
|
|
batch.n_seq_id = n_seq_id.data();
|
|
batch.seq_id = seq_ids.data();
|
|
batch.logits = logits.data();
|
|
|
|
for (int i = 0; i < n_tokens; ++i) {
|
|
n_seq_id[i] = 1;
|
|
seq_ids[i] = seq_id_0.data();
|
|
logits[i] = return_all_logits;
|
|
}
|
|
|
|
// ---- position encoding ----
|
|
if (!use_mrope) {
|
|
for (int i = 0; i < n_tokens; ++i) {
|
|
pos[i] = npast + i;
|
|
}
|
|
} else if (!mrope_is_image) {
|
|
// 1D M-RoPE (audio / embedding stream)
|
|
for (int i = 0; i < n_tokens; ++i) {
|
|
pos[i + 0 * n_tokens] = npast + i;
|
|
pos[i + 1 * n_tokens] = npast + i;
|
|
pos[i + 2 * n_tokens] = npast + i;
|
|
pos[i + 3 * n_tokens] = 0;
|
|
}
|
|
} else {
|
|
// 2D image M-RoPE
|
|
int idx = 0;
|
|
for (int y = 0; y < img_ny; ++y) {
|
|
for (int x = 0; x < img_nx; ++x) {
|
|
pos[idx + 0 * n_tokens] = npast;
|
|
pos[idx + 1 * n_tokens] = npast + y;
|
|
pos[idx + 2 * n_tokens] = npast + x;
|
|
pos[idx + 3 * n_tokens] = 0;
|
|
++idx;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Always request logits for last token
|
|
logits[n_tokens - 1] = true;
|
|
}
|
|
|
|
//for embeddings
|
|
kcpp_embd_batch::kcpp_embd_batch(float * embd,
|
|
int32_t n_tokens,
|
|
int32_t npast,
|
|
bool use_mrope,
|
|
bool mrope_is_image,
|
|
int img_nx,
|
|
int img_ny) {
|
|
batch = {
|
|
/* n_tokens = */ n_tokens,
|
|
/* tokens = */ nullptr,
|
|
/* embd = */ embd,
|
|
/* pos = */ nullptr,
|
|
/* n_seq_id = */ nullptr,
|
|
/* seq_id = */ nullptr,
|
|
/* logits = */ nullptr,
|
|
};
|
|
|
|
init_kcpp_batch(n_tokens, npast, use_mrope,
|
|
/*return_all_logits=*/false, mrope_is_image, img_nx, img_ny);
|
|
}
|
|
|
|
// for tokens
|
|
kcpp_embd_batch::kcpp_embd_batch(std::vector<llama_token> & tokens,
|
|
int32_t npast,
|
|
bool use_mrope,
|
|
bool return_all_logits,
|
|
bool mrope_is_image,
|
|
int img_nx,
|
|
int img_ny) {
|
|
batch = {
|
|
/* n_tokens = */ (int32_t) tokens.size(),
|
|
/* tokens = */ tokens.data(),
|
|
/* embd = */ nullptr,
|
|
/* pos = */ nullptr,
|
|
/* n_seq_id = */ nullptr,
|
|
/* seq_id = */ nullptr,
|
|
/* logits = */ nullptr,
|
|
};
|
|
|
|
init_kcpp_batch(batch.n_tokens, npast, use_mrope, return_all_logits, mrope_is_image, img_nx, img_ny);
|
|
}
|
|
|
|
llama_batch kcpp_embd_batch::get_view(int offset, int n_tokens, int n_embd_mmproj) {
|
|
GGML_ASSERT(offset >= 0);
|
|
GGML_ASSERT(n_tokens > 0);
|
|
GGML_ASSERT(offset + n_tokens <= batch.n_tokens);
|
|
|
|
const int total_tokens = batch.n_tokens;
|
|
llama_pos * pos_ptr = nullptr;
|
|
|
|
// Detect M-RoPE vs normal RoPE
|
|
const bool is_mrope = (pos.size() > (size_t)total_tokens);
|
|
|
|
pos_view.clear();
|
|
|
|
if (is_mrope) {
|
|
const int n_pos_per_embd = pos.size() / total_tokens;
|
|
GGML_ASSERT(n_pos_per_embd == 4);
|
|
|
|
// Layout:
|
|
// src: [dim0_all_tokens][dim1_all_tokens][dim2_all_tokens][dim3_all_tokens]
|
|
// dst: same layout, but only [offset : offset + n_tokens]
|
|
pos_view.reserve(n_tokens * n_pos_per_embd);
|
|
|
|
for (int dim = 0; dim < n_pos_per_embd; ++dim) {
|
|
const llama_pos * src =
|
|
pos.data() + dim * total_tokens + offset;
|
|
|
|
pos_view.insert(
|
|
pos_view.end(),
|
|
src,
|
|
src + n_tokens
|
|
);
|
|
}
|
|
|
|
pos_ptr = pos_view.data();
|
|
}
|
|
else {
|
|
// Normal RoPE: contiguous slice
|
|
pos_ptr = pos.data() + offset;
|
|
}
|
|
|
|
return {
|
|
/* n_tokens = */ n_tokens,
|
|
/* tokens = */ nullptr,
|
|
/* embd = */ batch.embd ? batch.embd + offset*n_embd_mmproj : nullptr,
|
|
/* pos = */ pos_ptr,
|
|
/* n_seq_id = */ batch.n_seq_id + offset,
|
|
/* seq_id = */ batch.seq_id + offset,
|
|
/* logits = */ batch.logits + offset,
|
|
};
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
static std::vector<std::string> kcpp_string_split(const std::string & input, char separator)
|
|
{
|
|
std::vector<std::string> parts;
|
|
size_t begin_pos = 0;
|
|
size_t separator_pos = input.find(separator);
|
|
while (separator_pos != std::string::npos) {
|
|
std::string part = input.substr(begin_pos, separator_pos - begin_pos);
|
|
parts.emplace_back(part);
|
|
begin_pos = separator_pos + 1;
|
|
separator_pos = input.find(separator, begin_pos);
|
|
}
|
|
parts.emplace_back(input.substr(begin_pos, separator_pos - begin_pos));
|
|
return parts;
|
|
}
|
|
|
|
//for llama.cpp style device overrides e.g. --device Vulkan0,Vulkan1
|
|
std::vector<ggml_backend_dev_t> kcpp_parse_device_list(const std::string & value) {
|
|
std::vector<ggml_backend_dev_t> devices;
|
|
auto dev_names = kcpp_string_split(value, ',');
|
|
if (dev_names.empty()) {
|
|
printf("\nkcpp_parse_device_list error: no devices specified\n");
|
|
return std::vector<ggml_backend_dev_t>();
|
|
}
|
|
if (dev_names.size() == 1 && dev_names[0] == "none") {
|
|
return std::vector<ggml_backend_dev_t>();
|
|
} else {
|
|
for (const auto & device : dev_names) {
|
|
auto * dev = ggml_backend_dev_by_name(device.c_str());
|
|
if (!dev || ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_CPU) {
|
|
printf("\nkcpp_parse_device_list error: invalid device: %s\n",device.c_str());
|
|
return std::vector<ggml_backend_dev_t>();
|
|
}
|
|
devices.push_back(dev);
|
|
}
|
|
devices.push_back(nullptr);
|
|
}
|
|
return devices;
|
|
} |