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llama : minor fixes for up llama load model speed (#11448)
* impl::load change map bpe_ranks to onordered map for reduce time of impl::load on 30% * llama_model_loader::init_mapping - replace new llama_mmap to std::make_unique<llama_mmap> for clean code & reduce (/2) time of running init_mappings * Update src/llama-vocab.cpp --------- Co-authored-by: lexasub <empty@empty.ru> Co-authored-by: Diego Devesa <slarengh@gmail.com>
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@ -819,7 +819,7 @@ void llama_model_loader::init_mappings(bool prefetch, llama_mlocks * mlock_mmaps
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for (const auto & file : files) {
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auto * reg = ggml_backend_dev_backend_reg(ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU));
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auto * is_numa_fn = (decltype(ggml_is_numa) *) ggml_backend_reg_get_proc_address(reg, "ggml_backend_cpu_is_numa");
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std::unique_ptr<llama_mmap> mapping(new llama_mmap(file.get(), prefetch ? -1 : 0, is_numa_fn()));
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std::unique_ptr<llama_mmap> mapping = std::make_unique<llama_mmap>(file.get(), prefetch ? -1 : 0, is_numa_fn());
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mmaps_used.emplace_back(mapping->size(), 0);
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if (mlock_mmaps) {
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std::unique_ptr<llama_mlock> mlock_mmap(new llama_mlock());
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@ -1245,8 +1245,13 @@ struct llama_vocab::impl {
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std::vector<llama_token> cache_special_tokens;
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std::vector<std::string> cache_token_to_piece; // llama_token_to_piece(special = true);
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std::map<std::pair<std::string, std::string>, int> bpe_ranks;
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struct pair_hash {
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size_t operator()(const std::pair<std::string, std::string> & p) const {
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return std::hash<std::string>{}(p.first) ^ //create some hash for pair
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(std::hash<std::string>{}(p.second) << 1);
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}
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};
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std::unordered_map<std::pair<std::string, std::string>, int, pair_hash> bpe_ranks;
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// set of all tokens that cause "end of generation"
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std::set<llama_token> special_eog_ids;
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