mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-30 21:34:36 +00:00
f486f6e1e5
* Added numa options to allow finer grained control as well as plumbing for a new mirror mode that will require numa.h * Reverted Makefile * Fixed include * Removed sched.h from ggml.h, moved ggml_get_numa_affinity into ggml.c, removed trailing whitespace and fixed up a few inconsistent variables * removed trailing whitespace * Added numa options to allow finer grained control as well as plumbing for a new mirror mode that will require numa.h * Reverting Makefile * Fixed a number of issues with the move from BOOL to ggml_numa_strategies. Added a note about mirror mode note being implemented yet * Removing MIRROR_MODE code for this PR * Removing last bit of MIRROR_MODE code for this PR * Removing unneeded branch in server.cpp example and moving get_numa_affinity and making it static * Fixed lingering init_llama_backend() bool calls in tests and examples * Remote enum llama_numa_strategies * Revert bad merge with dynatemp flags * add missing enum ggml_numa_strategies declaration and revert sync problem with master * add missing enum ggml_numa_strategies declaration * fixed ggml_init_numa variable * Update ggml.h Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Update READMEs with info about numa flags, change INTERLEAVE strategy name to DISTRIBUTE everywhere, implement the improved distribution strategy from @rankaiyx, fix a spelling mistake and un-merge some bad merges * split numa init out from llama_backend_init and created llama_numa_init. Updated all code paths and samples * Fix up some boolean vs enum comparisons * Added #ifdefs for non-Linux OS that don't have cpu_set_t datatype * Update ggml.h Align enum values Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update ggml.c Remove whitespace Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update ggml.c align paremeters Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update examples/server/server.cpp remove whitespace and align brace Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update common/common.cpp Remove whitespace and align brace Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * unified ggml_numa_strategy enum and fixed text alignment in server.cpp example * Update ggml.c simplified return for platforms without NUMA support Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * removed redundant else from cli argument processing of --numa * whitespace --------- Co-authored-by: root <root@nenya.lothlorien.ca> Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: Jared Van Bortel <jared@nomic.ai>
112 lines
3.1 KiB
C++
112 lines
3.1 KiB
C++
#include "llama.h"
|
|
#include "common.h"
|
|
#include "unicode.h"
|
|
#include "console.h"
|
|
|
|
#include <cassert>
|
|
#include <codecvt>
|
|
#include <cstdio>
|
|
#include <cstring>
|
|
#include <locale>
|
|
#include <string>
|
|
#include <thread>
|
|
#include <vector>
|
|
|
|
int main(int argc, char **argv) {
|
|
if (argc < 2) {
|
|
fprintf(stderr, "Usage: %s <vocab-file>\n", argv[0]);
|
|
return 1;
|
|
}
|
|
|
|
const std::string fname = argv[1];
|
|
|
|
fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());
|
|
|
|
llama_model * model;
|
|
llama_context * ctx;
|
|
|
|
llama_backend_init();
|
|
|
|
// load the vocab
|
|
{
|
|
auto mparams = llama_model_default_params();
|
|
|
|
mparams.vocab_only = true;
|
|
|
|
model = llama_load_model_from_file(fname.c_str(), mparams);
|
|
|
|
if (model == NULL) {
|
|
fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
|
|
return 1;
|
|
}
|
|
|
|
auto cparams = llama_context_default_params();
|
|
|
|
ctx = llama_new_context_with_model(model, cparams);
|
|
|
|
if (ctx == NULL) {
|
|
fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
|
|
llama_free_model(model);
|
|
return 1;
|
|
}
|
|
}
|
|
|
|
GGML_ASSERT(llama_vocab_type(model) == LLAMA_VOCAB_TYPE_SPM);
|
|
|
|
#ifdef _WIN32
|
|
// We need this for unicode console support
|
|
console::init(false, false);
|
|
atexit([]() { console::cleanup(); });
|
|
#endif
|
|
|
|
const int n_vocab = llama_n_vocab(model);
|
|
|
|
for (int i = 0; i < n_vocab; ++i) {
|
|
std::string str = llama_detokenize_spm(ctx, std::vector<int>(1, i));
|
|
std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
|
|
std::string check = llama_detokenize_spm(ctx, tokens);
|
|
if (check != str) {
|
|
fprintf(stderr, "%s : error: token %d detokenizes to '%s'(%zu) but tokenization of this detokenizes to '%s'(%zu)\n",
|
|
__func__, i, str.c_str(), str.length(), check.c_str(), check.length());
|
|
return 2;
|
|
}
|
|
}
|
|
|
|
// unicode
|
|
{
|
|
const int nthread = std::thread::hardware_concurrency();
|
|
|
|
std::vector<std::thread> threads(nthread);
|
|
|
|
for (int i = 0; i < nthread; ++i) {
|
|
threads[i] = std::thread([i, nthread, ctx]() {
|
|
for (uint32_t cp = i; cp < 0x0010ffff; cp += nthread) {
|
|
if (cp >= 0xd800 && cp <= 0xdfff) {
|
|
continue;
|
|
}
|
|
|
|
std::string str = codepoint_to_utf8(cp);
|
|
std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
|
|
std::string check = llama_detokenize_spm(ctx, tokens);
|
|
if (cp != 9601 && str != check) {
|
|
fprintf(stderr, "error: codepoint %x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
|
|
cp, check.c_str(), check.length(), str.c_str(), str.length());
|
|
std::exit(3);
|
|
}
|
|
}
|
|
});
|
|
}
|
|
|
|
for (auto & t : threads) {
|
|
t.join();
|
|
}
|
|
}
|
|
|
|
llama_free_model(model);
|
|
llama_free(ctx);
|
|
|
|
llama_backend_free();
|
|
|
|
return 0;
|
|
}
|