mirror of
https://github.com/ggerganov/llama.cpp.git
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1b9ae5189c
* (wip) argparser v3 * migrated * add test * handle env * fix linux build * add export-docs example * fix build (2) * skip build test-arg-parser on windows * update server docs * bring back missing --alias * bring back --n-predict * clarify test-arg-parser * small correction * add comments * fix args with 2 values * refine example-specific args * no more lamba capture Co-authored-by: slaren@users.noreply.github.com * params.sparams * optimize more * export-docs --> gen-docs
44 lines
1.2 KiB
C++
44 lines
1.2 KiB
C++
#include "ggml.h"
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#include "llama.h"
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#include "common.h"
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#include "ngram-cache.h"
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#include <cstdint>
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#include <fstream>
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#include <iostream>
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#include <string>
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#include <unordered_map>
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#include <vector>
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int main(int argc, char ** argv){
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gpt_params params;
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auto options = gpt_params_parser_init(params, LLAMA_EXAMPLE_COMMON);
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if (!gpt_params_parse(argc, argv, params, options)) {
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return 1;
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}
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// init llama.cpp
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llama_backend_init();
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llama_numa_init(params.numa);
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// load the model
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llama_init_result llama_init = llama_init_from_gpt_params(params);
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llama_model * model = llama_init.model;
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llama_context * ctx = llama_init.context;
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GGML_ASSERT(model != nullptr);
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// tokenize the prompt
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std::vector<llama_token> inp;
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inp = ::llama_tokenize(ctx, params.prompt, true, true);
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fprintf(stderr, "%s: tokenization done\n", __func__);
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llama_ngram_cache ngram_cache;
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llama_ngram_cache_update(ngram_cache, LLAMA_NGRAM_STATIC, LLAMA_NGRAM_STATIC, inp, inp.size(), true);
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fprintf(stderr, "%s: hashing done, writing file to %s\n", __func__, params.lookup_cache_static.c_str());
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llama_ngram_cache_save(ngram_cache, params.lookup_cache_static);
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}
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