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llama : optimize memory buffers (#2325)
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@ -139,17 +139,14 @@ int main(int argc, char ** argv) {
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params.n_threads, std::thread::hardware_concurrency(), llama_print_system_info());
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}
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// determine the maximum memory usage needed to do inference for the given n_batch and n_predict parameters
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// determine the maximum memory usage needed to do inference for the given n_batch and n_ctx parameters
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// uncomment the "used_mem" line in llama.cpp to see the results
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if (params.mem_test) {
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{
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const std::vector<llama_token> tmp(params.n_batch, llama_token_bos());
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llama_eval(ctx, tmp.data(), tmp.size(), 0, params.n_threads);
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}
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fprintf(stderr, "%s: testing memory usage for n_batch = %d, n_ctx = %d\n", __func__, params.n_batch, params.n_ctx);
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{
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const std::vector<llama_token> tmp = { 0, };
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llama_eval(ctx, tmp.data(), tmp.size(), params.n_predict - 1, params.n_threads);
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const std::vector<llama_token> tmp(params.n_batch, llama_token_bos());
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llama_eval(ctx, tmp.data(), tmp.size(), params.n_ctx, params.n_threads);
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}
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llama_print_timings(ctx);
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