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llama : refactor src/llama.cpp (#10902)

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* llama : scatter llama.cpp into multiple modules (wip)

* llama : control-vector -> adapter

* llama : arch

* llama : mmap

ggml-ci

* ci : remove BUILD_SHARED_LIBS=OFF

ggml-ci

* llama : arch (cont)

ggml-ci

* llama : chat

ggml-ci

* llama : model

ggml-ci

* llama : hparams

ggml-ci

* llama : adapter

ggml-ci

* examples : fix

ggml-ci

* rebase

ggml-ci

* minor

* llama : kv cache

ggml-ci

* llama : impl

ggml-ci

* llama : batch

ggml-ci

* cont

ggml-ci

* llama : context

ggml-ci

* minor

* llama : context (cont)

ggml-ci

* llama : model loader

ggml-ci

* common : update lora

ggml-ci

* llama : quant

ggml-ci

* llama : quant (cont)

ggml-ci

* minor [no ci]
This commit is contained in:
Georgi Gerganov
2025-01-03 10:18:53 +02:00
committed by GitHub
parent 2f0ee84b9b
commit f66f582927
61 changed files with 12193 additions and 11649 deletions
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16
examples/quantize-stats/quantize-stats.cpp
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@@ -1,7 +1,7 @@
#include "common.h"
#include "ggml.h"
#include "llama.h"
#include "llama-impl.h"
#include "llama-context.h"
#include "common.h"
#include <algorithm>
#include <cassert>
@@ -9,11 +9,9 @@
#include <cmath>
#include <cstdio>
#include <cstring>
#include <map>
#include <numeric>
#include <regex>
#include <string>
#include <unordered_map>
#include <vector>
#include <thread>
#include <mutex>
@@ -330,13 +328,13 @@ int main(int argc, char ** argv) {
}
}
const auto &tensors = llama_internal_get_tensor_map(ctx);
const auto & tensors = llama_internal_get_tensor_map(ctx);
// check layer tensors
int included_layers = 0;
int64_t max_nelements = 0;
bool is_f16 = false;
for (const auto& kv_tensor : tensors) {
for (const auto & kv_tensor : tensors) {
if (!layer_included(params, kv_tensor.first)) {
continue;
}
@@ -371,8 +369,8 @@ int main(int argc, char ** argv) {
if (!params.include_types.empty() && std::find(params.include_types.begin(), params.include_types.end(), i) == params.include_types.end()) {
continue;
}
const auto * qfns = ggml_get_type_traits(type);
const auto * qfns_cpu = ggml_get_type_traits_cpu(type);
const auto * qfns = ggml_get_type_traits(type);
const auto * qfns_cpu = ggml_get_type_traits_cpu(type);
if (qfns_cpu->from_float && qfns->to_float) {
if (params.verbose) {
printf("testing %s ...\n", ggml_type_name(type));
@@ -382,7 +380,7 @@ int main(int argc, char ** argv) {
error_stats global_stats {};
for (const auto& kv_tensor : tensors) {
for (const auto & kv_tensor : tensors) {
if (!layer_included(params, kv_tensor.first)) {
continue;
}