talk-llama : sync llama.cpp (#2709)

This commit is contained in:
Georgi Gerganov
2025-01-13 08:55:48 +02:00
committed by GitHub
parent 45d3faf961
commit 35d0e02c72
36 changed files with 12960 additions and 11341 deletions

View File

@ -1,5 +1,6 @@
#include "llama-sampling.h"
#include "llama-impl.h"
#include "llama-vocab.h"
#include "llama-grammar.h"
@ -14,6 +15,118 @@
#include <numeric>
#include <random>
#include <unordered_map>
#include <stdexcept>
// 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;
};
static int llama_sample_dist(llama_token_data_array * cur_p, std::mt19937 & rng) {
// iterator for the probabilities
@ -144,7 +257,7 @@ static void llama_sampler_top_k_impl(llama_token_data_array * cur_p, int32_t k)
for (int i = 0; i < (int)cur_p->size; ++i) {
const float val = cur_p->data[i].logit;
int ib = int(bucket_scale * val + bucket_inter); //nbuckets * (val - bucket_low) / (bucket_high - bucket_low);
ib = std::max(0, std::min(nbuckets-1, ib));
ib = std::max(0, std::min(nbuckets - 1, ib));
bucket_idx[i] = ib;
++histo[ib];
}
@ -167,13 +280,13 @@ static void llama_sampler_top_k_impl(llama_token_data_array * cur_p, int32_t k)
for (int i = 0; i < (int)cur_p->size; ++i) {
int j = bucket_idx[i];
if (j >= ib) {
*bucket_ptrs[nbuckets-1-j]++ = cur_p->data[i];
*bucket_ptrs[nbuckets - 1 - j]++ = cur_p->data[i];
}
}
ptr = tmp_tokens.data();
int ndone = 0;
for (int j = nbuckets-1; j > ib; --j) {
for (int j = nbuckets - 1; j > ib; --j) {
std::sort(ptr, ptr + histo[j], comp);
ptr += histo[j];
ndone += histo[j];
@ -1719,7 +1832,7 @@ static void llama_sampler_dry_apply(struct llama_sampler * smpl, llama_token_dat
ctx->dry_repeat_count[last - k] = std::min(n, rep_limit);
if (n > 0) {
lt = k;
rt = k+n-1;
rt = k + n - 1;
}
} else {
// If k is inside the current Z-box, consider two cases.