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llama : do a warm-up eval at start for better timings (#1824)
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@ -331,6 +331,13 @@ int main(int argc, char ** argv) {
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std::vector<llama_token> embd;
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std::vector<llama_token> embd;
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// do one empty run to warm up the model
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{
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const std::vector<llama_token> tmp = { llama_token_bos(), };
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llama_eval(ctx, tmp.data(), tmp.size(), 0, params.n_threads);
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llama_reset_timings(ctx);
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}
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while ((n_remain != 0 && !is_antiprompt) || params.interactive) {
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while ((n_remain != 0 && !is_antiprompt) || params.interactive) {
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// predict
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// predict
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if (embd.size() > 0) {
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if (embd.size() > 0) {
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