Introduce C-style API (#370)
* Major refactoring - introduce C-style API * Clean up * Add <cassert> * Add <iterator> * Add <algorithm> .... * Fix timing reporting and accumulation * Measure eval time only for single-token calls * Change llama_tokenize return meaning
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14 changed files with 1954 additions and 1752 deletions
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@ -1,10 +1,11 @@
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#include "utils.h"
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#include "llama.h"
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#include <cstdio>
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#include <string>
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#include <map>
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static const std::map<std::string, std::vector<llama_vocab::id>> k_tests = {
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static const std::map<std::string, std::vector<llama_token>> k_tests = {
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{ "Hello World", { 1, 10994, 2787, }, },
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{ " Hello World", { 1, 15043, 2787, }, },
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{ " Hello World!", { 1, 15043, 2787, 29991, }, },
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@ -23,14 +24,23 @@ int main(int argc, char **argv) {
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fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());
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llama_vocab vocab;
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llama_context * ctx;
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if (!llama_vocab_load(fname, vocab)) {
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fprintf(stderr, "%s : failed to load vocab from: '%s'\n", __func__, fname.c_str());
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return 1;
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// load the vocab
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{
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auto lparams = llama_context_default_params();
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lparams.vocab_only = true;
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ctx = llama_init_from_file(fname.c_str(), lparams);
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if (ctx == NULL) {
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fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
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return 1;
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}
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}
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const int n_vocab = vocab.id_to_token.size();
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const int n_vocab = llama_n_vocab(ctx);
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if (n_vocab != 32000) {
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fprintf(stderr, "%s : expected 32000 tokens, got %d\n", __func__, n_vocab);
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@ -38,7 +48,7 @@ int main(int argc, char **argv) {
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}
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for (const auto & test_kv : k_tests) {
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const auto res = llama_tokenize(vocab, test_kv.first, true);
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const auto res = ::llama_tokenize(ctx, test_kv.first, true);
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bool correct = res.size() == test_kv.second.size();
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