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| 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; | |
| } | |
| std::vector<float> resample_wav(const std::vector<float>& input, uint32_t input_rate, uint32_t output_rate) { | |
| size_t input_size = input.size(); | |
| double ratio = static_cast<double>(output_rate) / input_rate; | |
| size_t newLength = static_cast<size_t>(input.size() * ratio); | |
| std::vector<float> output(newLength); | |
| // Perform simple linear interpolation resampling | |
| for (size_t i = 0; i < newLength; ++i) { | |
| double srcIndex = i / ratio; | |
| size_t srcIndexInt = static_cast<size_t>(srcIndex); | |
| double frac = srcIndex - srcIndexInt; | |
| if (srcIndexInt + 1 < input_size) { | |
| output[i] = static_cast<float>(input[srcIndexInt] * (1 - frac) + input[srcIndexInt + 1] * frac); | |
| } else { | |
| output[i] = input[srcIndexInt]; | |
| } | |
| } | |
| return output; | |
| } | |
| //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; | |
| } | |
| kcpp_embd_batch::kcpp_embd_batch(float * embd, int32_t n_tokens, int32_t npast, bool use_mrope) | |
| { | |
| int32_t seq_id = 0; | |
| 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 =*/ nullptr, | |
| /*embd =*/ embd, | |
| /*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; | |
| } |