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llama : add llama_init_backend() API (close #1527)
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@ -1,6 +1,7 @@
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#include <locale.h>
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#include "ggml.h"
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#include "build-info.h"
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#include <locale.h>
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#include <assert.h>
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#include <math.h>
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#include <cstring>
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@ -31,6 +31,8 @@ int main(int argc, char ** argv) {
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params.prompt = gpt_random_prompt(rng);
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}
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llama_init_backend();
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llama_context * ctx;
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// load the model
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@ -96,8 +96,7 @@ int main(int argc, char ** argv) {
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params.prompt = gpt_random_prompt(rng);
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}
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// params.prompt = R"(// this function checks if the number n is prime
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//bool is_prime(int n) {)";
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llama_init_backend();
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llama_context * ctx;
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g_ctx = &ctx;
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@ -143,6 +143,8 @@ int main(int argc, char ** argv) {
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params.prompt = gpt_random_prompt(rng);
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}
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llama_init_backend();
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llama_context * ctx;
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// load the model and apply lora adapter, if any
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@ -1,7 +1,7 @@
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#include "ggml.h"
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#include "llama.h"
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#include "build-info.h"
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#include "llama.h"
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#include <cstdio>
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#include <map>
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#include <string>
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@ -42,8 +42,6 @@ bool try_parse_ftype(const std::string & ftype_str, llama_ftype & ftype, std::st
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// ./quantize models/llama/ggml-model.bin [models/llama/ggml-model-quant.bin] type [nthreads]
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//
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int main(int argc, char ** argv) {
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ggml_time_init();
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if (argc < 3) {
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fprintf(stderr, "usage: %s model-f32.bin [model-quant.bin] type [nthreads]\n", argv[0]);
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for (auto it = LLAMA_FTYPE_MAP.begin(); it != LLAMA_FTYPE_MAP.end(); it++) {
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@ -52,12 +50,7 @@ int main(int argc, char ** argv) {
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return 1;
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}
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// needed to initialize f16 tables
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{
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struct ggml_init_params params = { 0, NULL, false };
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struct ggml_context * ctx = ggml_init(params);
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ggml_free(ctx);
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}
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llama_init_backend();
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// parse command line arguments
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const std::string fname_inp = argv[1];
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@ -116,25 +109,25 @@ int main(int argc, char ** argv) {
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}
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fprintf(stderr, "\n");
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const int64_t t_main_start_us = ggml_time_us();
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const int64_t t_main_start_us = llama_time_us();
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int64_t t_quantize_us = 0;
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// load the model
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{
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const int64_t t_start_us = ggml_time_us();
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const int64_t t_start_us = llama_time_us();
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if (llama_model_quantize(fname_inp.c_str(), fname_out.c_str(), ftype, nthread)) {
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fprintf(stderr, "%s: failed to quantize model from '%s'\n", __func__, fname_inp.c_str());
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return 1;
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}
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t_quantize_us = ggml_time_us() - t_start_us;
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t_quantize_us = llama_time_us() - t_start_us;
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}
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// report timing
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{
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const int64_t t_main_end_us = ggml_time_us();
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const int64_t t_main_end_us = llama_time_us();
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printf("\n");
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printf("%s: quantize time = %8.2f ms\n", __func__, t_quantize_us/1000.0);
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15
llama.cpp
15
llama.cpp
@ -839,6 +839,21 @@ bool llama_mlock_supported() {
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return llama_mlock::SUPPORTED;
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}
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void llama_init_backend() {
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ggml_time_init();
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// needed to initialize f16 tables
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{
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struct ggml_init_params params = { 0, NULL, false };
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struct ggml_context * ctx = ggml_init(params);
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ggml_free(ctx);
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}
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}
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int64_t llama_time_us() {
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return ggml_time_us();
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}
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//
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// model loading
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//
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9
llama.h
9
llama.h
@ -79,7 +79,7 @@ extern "C" {
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LLAMA_FTYPE_MOSTLY_Q4_1 = 3, // except 1d tensors
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LLAMA_FTYPE_MOSTLY_Q4_1_SOME_F16 = 4, // tok_embeddings.weight and output.weight are F16
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// LLAMA_FTYPE_MOSTLY_Q4_2 = 5, // support has been removed
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// LLAMA_FTYPE_MOSTLY_Q4_3 (6) support has been removed
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// LLAMA_FTYPE_MOSTLY_Q4_3 = 6, // support has been removed
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LLAMA_FTYPE_MOSTLY_Q8_0 = 7, // except 1d tensors
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LLAMA_FTYPE_MOSTLY_Q5_0 = 8, // except 1d tensors
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LLAMA_FTYPE_MOSTLY_Q5_1 = 9, // except 1d tensors
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@ -90,6 +90,13 @@ extern "C" {
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LLAMA_API bool llama_mmap_supported();
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LLAMA_API bool llama_mlock_supported();
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// TODO: not great API - very likely to change
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// Initialize the llama + ggml backend
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// Call once at the start of the program
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LLAMA_API void llama_init_backend();
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LLAMA_API int64_t llama_time_us();
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// Various functions for loading a ggml llama model.
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// Allocate (almost) all memory needed for the model.
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// Return NULL on failure
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