mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-26 11:24:35 +00:00
182 lines
4.6 KiB
C++
182 lines
4.6 KiB
C++
#pragma once
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#include "llama.h"
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#include <string>
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#include <vector>
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#include <stdexcept>
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#ifdef __GNUC__
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#ifdef __MINGW32__
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#define LLAMA_ATTRIBUTE_FORMAT(...) __attribute__((format(gnu_printf, __VA_ARGS__)))
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#else
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#define LLAMA_ATTRIBUTE_FORMAT(...) __attribute__((format(printf, __VA_ARGS__)))
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#endif
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#else
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#define LLAMA_ATTRIBUTE_FORMAT(...)
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#endif
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//
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// logging
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//
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LLAMA_ATTRIBUTE_FORMAT(2, 3)
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void llama_log_internal (ggml_log_level level, const char * format, ...);
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void llama_log_callback_default(ggml_log_level level, const char * text, void * user_data);
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#define LLAMA_LOG(...) llama_log_internal(GGML_LOG_LEVEL_NONE , __VA_ARGS__)
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#define LLAMA_LOG_INFO(...) llama_log_internal(GGML_LOG_LEVEL_INFO , __VA_ARGS__)
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#define LLAMA_LOG_WARN(...) llama_log_internal(GGML_LOG_LEVEL_WARN , __VA_ARGS__)
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#define LLAMA_LOG_ERROR(...) llama_log_internal(GGML_LOG_LEVEL_ERROR, __VA_ARGS__)
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#define LLAMA_LOG_DEBUG(...) llama_log_internal(GGML_LOG_LEVEL_DEBUG, __VA_ARGS__)
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#define LLAMA_LOG_CONT(...) llama_log_internal(GGML_LOG_LEVEL_CONT , __VA_ARGS__)
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//
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// helpers
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//
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struct time_meas {
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time_meas(int64_t & t_acc, bool disable = false) : t_start_us(disable ? -1 : ggml_time_us()), t_acc(t_acc) {}
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~time_meas() {
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if (t_start_us >= 0) {
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t_acc += ggml_time_us() - t_start_us;
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}
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}
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const int64_t t_start_us;
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int64_t & t_acc;
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};
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static void replace_all(std::string & s, const std::string & search, const std::string & replace) {
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if (search.empty()) {
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return;
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}
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std::string builder;
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builder.reserve(s.length());
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size_t pos = 0;
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size_t last_pos = 0;
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while ((pos = s.find(search, last_pos)) != std::string::npos) {
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builder.append(s, last_pos, pos - last_pos);
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builder.append(replace);
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last_pos = pos + search.length();
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}
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builder.append(s, last_pos, std::string::npos);
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s = std::move(builder);
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}
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const std::vector<std::pair<std::string, struct ggml_tensor *>> & llama_internal_get_tensor_map(
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struct llama_context * ctx
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);
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// the ring buffer works similarly to std::deque, but with a fixed capacity
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template<typename T>
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struct ring_buffer {
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ring_buffer(size_t cap) : capacity(cap), data(cap) {}
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T & front() {
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if (sz == 0) {
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throw std::runtime_error("ring buffer is empty");
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}
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return data[first];
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}
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const T & front() const {
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if (sz == 0) {
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throw std::runtime_error("ring buffer is empty");
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}
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return data[first];
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}
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T & back() {
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if (sz == 0) {
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throw std::runtime_error("ring buffer is empty");
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}
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return data[pos];
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}
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const T & back() const {
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if (sz == 0) {
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throw std::runtime_error("ring buffer is empty");
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}
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return data[pos];
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}
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void push_back(const T & value) {
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if (capacity == 0) {
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throw std::runtime_error("ring buffer: capacity is zero");
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}
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if (sz == capacity) {
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// advance the start when buffer is full
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first = (first + 1) % capacity;
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} else {
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sz++;
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}
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data[pos] = value;
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pos = (pos + 1) % capacity;
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}
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T pop_front() {
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if (sz == 0) {
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throw std::runtime_error("ring buffer is empty");
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}
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T value = data[first];
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first = (first + 1) % capacity;
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sz--;
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return value;
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}
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//T & operator[](size_t i) {
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// if (i >= sz) {
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// throw std::runtime_error("ring buffer: index out of bounds");
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// }
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// return data[(first + i) % capacity];
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//}
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//const T & at(size_t i) const {
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// if (i >= sz) {
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// throw std::runtime_error("ring buffer: index out of bounds");
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// }
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// return data[(first + i) % capacity];
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//}
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const T & rat(size_t i) const {
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if (i >= sz) {
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throw std::runtime_error("ring buffer: index out of bounds");
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}
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return data[(first + sz - i - 1) % capacity];
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}
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std::vector<T> to_vector() const {
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std::vector<T> result;
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result.reserve(sz);
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for (size_t i = 0; i < sz; i++) {
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result.push_back(data[(first + i) % capacity]);
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}
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return result;
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}
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void clear() {
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// here only reset the status of the buffer
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sz = 0;
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first = 0;
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pos = 0;
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}
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bool empty() const {
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return sz == 0;
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}
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size_t size() const {
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return sz;
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}
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size_t capacity = 0;
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size_t sz = 0;
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size_t first = 0;
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size_t pos = 0;
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std::vector<T> data;
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};
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