mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-25 15:11:05 +00:00
182 lines
4.6 KiB
C++
182 lines
4.6 KiB
C++
#pragma once
|
|
|
|
#include "llama.h"
|
|
|
|
#include <string>
|
|
#include <vector>
|
|
#include <stdexcept>
|
|
|
|
#ifdef __GNUC__
|
|
#ifdef __MINGW32__
|
|
#define LLAMA_ATTRIBUTE_FORMAT(...) __attribute__((format(gnu_printf, __VA_ARGS__)))
|
|
#else
|
|
#define LLAMA_ATTRIBUTE_FORMAT(...) __attribute__((format(printf, __VA_ARGS__)))
|
|
#endif
|
|
#else
|
|
#define LLAMA_ATTRIBUTE_FORMAT(...)
|
|
#endif
|
|
|
|
//
|
|
// logging
|
|
//
|
|
|
|
LLAMA_ATTRIBUTE_FORMAT(2, 3)
|
|
void llama_log_internal (ggml_log_level level, const char * format, ...);
|
|
void llama_log_callback_default(ggml_log_level level, const char * text, void * user_data);
|
|
|
|
#define LLAMA_LOG(...) llama_log_internal(GGML_LOG_LEVEL_NONE , __VA_ARGS__)
|
|
#define LLAMA_LOG_INFO(...) llama_log_internal(GGML_LOG_LEVEL_INFO , __VA_ARGS__)
|
|
#define LLAMA_LOG_WARN(...) llama_log_internal(GGML_LOG_LEVEL_WARN , __VA_ARGS__)
|
|
#define LLAMA_LOG_ERROR(...) llama_log_internal(GGML_LOG_LEVEL_ERROR, __VA_ARGS__)
|
|
#define LLAMA_LOG_DEBUG(...) llama_log_internal(GGML_LOG_LEVEL_DEBUG, __VA_ARGS__)
|
|
#define LLAMA_LOG_CONT(...) llama_log_internal(GGML_LOG_LEVEL_CONT , __VA_ARGS__)
|
|
|
|
//
|
|
// helpers
|
|
//
|
|
|
|
struct time_meas {
|
|
time_meas(int64_t & t_acc, bool disable = false) : t_start_us(disable ? -1 : ggml_time_us()), t_acc(t_acc) {}
|
|
|
|
~time_meas() {
|
|
if (t_start_us >= 0) {
|
|
t_acc += ggml_time_us() - t_start_us;
|
|
}
|
|
}
|
|
|
|
const int64_t t_start_us;
|
|
|
|
int64_t & t_acc;
|
|
};
|
|
|
|
static void replace_all(std::string & s, const std::string & search, const std::string & replace) {
|
|
if (search.empty()) {
|
|
return;
|
|
}
|
|
std::string builder;
|
|
builder.reserve(s.length());
|
|
size_t pos = 0;
|
|
size_t last_pos = 0;
|
|
while ((pos = s.find(search, last_pos)) != std::string::npos) {
|
|
builder.append(s, last_pos, pos - last_pos);
|
|
builder.append(replace);
|
|
last_pos = pos + search.length();
|
|
}
|
|
builder.append(s, last_pos, std::string::npos);
|
|
s = std::move(builder);
|
|
}
|
|
|
|
const std::vector<std::pair<std::string, struct ggml_tensor *>> & llama_internal_get_tensor_map(
|
|
struct llama_context * ctx
|
|
);
|
|
|
|
// the ring buffer works similarly to std::deque, but with a fixed capacity
|
|
template<typename T>
|
|
struct ring_buffer {
|
|
ring_buffer(size_t cap) : capacity(cap), data(cap) {}
|
|
|
|
T & front() {
|
|
if (sz == 0) {
|
|
throw std::runtime_error("ring buffer is empty");
|
|
}
|
|
return data[first];
|
|
}
|
|
|
|
const T & front() const {
|
|
if (sz == 0) {
|
|
throw std::runtime_error("ring buffer is empty");
|
|
}
|
|
return data[first];
|
|
}
|
|
|
|
T & back() {
|
|
if (sz == 0) {
|
|
throw std::runtime_error("ring buffer is empty");
|
|
}
|
|
return data[pos];
|
|
}
|
|
|
|
const T & back() const {
|
|
if (sz == 0) {
|
|
throw std::runtime_error("ring buffer is empty");
|
|
}
|
|
return data[pos];
|
|
}
|
|
|
|
void push_back(const T & value) {
|
|
if (capacity == 0) {
|
|
throw std::runtime_error("ring buffer: capacity is zero");
|
|
}
|
|
|
|
if (sz == capacity) {
|
|
// advance the start when buffer is full
|
|
first = (first + 1) % capacity;
|
|
} else {
|
|
sz++;
|
|
}
|
|
data[pos] = value;
|
|
pos = (pos + 1) % capacity;
|
|
}
|
|
|
|
T pop_front() {
|
|
if (sz == 0) {
|
|
throw std::runtime_error("ring buffer is empty");
|
|
}
|
|
T value = data[first];
|
|
first = (first + 1) % capacity;
|
|
sz--;
|
|
return value;
|
|
}
|
|
|
|
//T & operator[](size_t i) {
|
|
// if (i >= sz) {
|
|
// throw std::runtime_error("ring buffer: index out of bounds");
|
|
// }
|
|
// return data[(first + i) % capacity];
|
|
//}
|
|
|
|
//const T & at(size_t i) const {
|
|
// if (i >= sz) {
|
|
// throw std::runtime_error("ring buffer: index out of bounds");
|
|
// }
|
|
// return data[(first + i) % capacity];
|
|
//}
|
|
|
|
const T & rat(size_t i) const {
|
|
if (i >= sz) {
|
|
throw std::runtime_error("ring buffer: index out of bounds");
|
|
}
|
|
return data[(first + sz - i - 1) % capacity];
|
|
}
|
|
|
|
std::vector<T> to_vector() const {
|
|
std::vector<T> result;
|
|
result.reserve(sz);
|
|
for (size_t i = 0; i < sz; i++) {
|
|
result.push_back(data[(first + i) % capacity]);
|
|
}
|
|
return result;
|
|
}
|
|
|
|
void clear() {
|
|
// here only reset the status of the buffer
|
|
sz = 0;
|
|
first = 0;
|
|
pos = 0;
|
|
}
|
|
|
|
bool empty() const {
|
|
return sz == 0;
|
|
}
|
|
|
|
size_t size() const {
|
|
return sz;
|
|
}
|
|
|
|
size_t capacity = 0;
|
|
size_t sz = 0;
|
|
size_t first = 0;
|
|
size_t pos = 0;
|
|
std::vector<T> data;
|
|
};
|