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Merge branch 'master' into compilade/refactor-kv-cache
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@@ -757,7 +757,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
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params.cache_type_v = argv[++i];
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return true;
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}
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if (arg == "--multiline-input") {
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if (arg == "-mli" || arg == "--multiline-input") {
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params.multiline_input = true;
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return true;
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}
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@@ -2070,7 +2070,24 @@ std::tuple<struct llama_model *, struct llama_context *> llama_init_from_gpt_par
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if (params.warmup) {
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LOG("warming up the model with an empty run\n");
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std::vector<llama_token> tmp = { llama_token_bos(model), llama_token_eos(model), };
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std::vector<llama_token> tmp;
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llama_token bos = llama_token_bos(model);
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llama_token eos = llama_token_eos(model);
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// some models (e.g. T5) don't have a BOS token
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if (bos != -1) {
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tmp.push_back(bos);
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}
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tmp.push_back(eos);
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if (llama_model_has_encoder(model)) {
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llama_encode(lctx, llama_batch_get_one(tmp.data(), tmp.size(), 0, 0));
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llama_token decoder_start_token_id = llama_model_decoder_start_token(model);
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if (decoder_start_token_id == -1) {
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decoder_start_token_id = bos;
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}
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tmp.clear();
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tmp.push_back(decoder_start_token_id);
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}
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llama_decode(lctx, llama_batch_get_one(tmp.data(), std::min(tmp.size(), (size_t) params.n_batch), 0, 0));
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llama_past_clear(lctx);
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llama_synchronize(lctx);
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