Add all generation parameters to server.cpp and allow resetting context
sever.cpp left out a few generation parameters and also seems built to assume un-editable chatting with no regens or swipes. I added a simple "reload_ctx" flag that can be passed on generation that will cause the prompt to be reloaded.
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1 changed files with 83 additions and 0 deletions
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@ -13,6 +13,8 @@ struct llama_server_context
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{
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bool as_loop = false;
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bool has_next_token = false;
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std::string generated_text = "";
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int32_t num_tokens_predicted = 0;
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@ -32,12 +34,33 @@ struct llama_server_context
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llama_context *ctx;
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gpt_params params;
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bool reload_ctx = false;
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void rewind() {
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as_loop = false;
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params.antiprompt.clear();
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no_show_words.clear();
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num_tokens_predicted = 0;
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generated_text = "";
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if(reload_ctx)
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{
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if(processed_tokens.size() != 0)
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{
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processed_tokens.erase(processed_tokens.begin() + 1, processed_tokens.end());
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}
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if(embd_inp.size() != 0)
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{
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embd_inp.erase(embd_inp.begin() + 1, embd_inp.end());
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}
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n_remain = 0;
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n_past = 0;
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n_consumed = 0;
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reload_ctx = false;
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}
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}
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bool loadModel(gpt_params params_)
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@ -58,6 +81,21 @@ struct llama_server_context
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bool loadPrompt() {
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params.prompt.insert(0, 1, ' '); // always add a first space
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if(processed_tokens.size() != 0)
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{
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processed_tokens.erase(processed_tokens.begin() + 1, processed_tokens.end());
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}
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if(embd_inp.size() != 0)
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{
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embd_inp.erase(embd_inp.begin() + 1, embd_inp.end());
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}
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n_remain = 0;
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n_past = 0;
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n_consumed = 0;
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std::vector<llama_token> prompt_tokens = ::llama_tokenize(ctx, params.prompt, true);
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// compare the evaluated prompt with the new prompt
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int new_prompt_len = 0;
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@ -112,6 +150,7 @@ struct llama_server_context
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// Reset context
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const int n_left = n_past - params.n_keep;
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n_past = std::max(1, params.n_keep);
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last_n_tokens.erase(last_n_tokens.begin() + n_past, last_n_tokens.end());
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processed_tokens.erase(processed_tokens.begin() + n_past, processed_tokens.end());
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embd.insert(embd.begin(), last_n_tokens.begin() + params.n_ctx - n_left / 2 - embd.size(), last_n_tokens.end() - embd.size());
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}
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@ -518,10 +557,50 @@ bool parse_options_completion(json body, llama_server_context& llama, Response &
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{
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llama.params.top_p = body["top_p"].get<float>();
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}
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if (!body["tfs_z"].is_null())
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{
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llama.params.tfs_z = body["tfs_z"].get<float>();
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}
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if (!body["typical_p"].is_null())
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{
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llama.params.typical_p = body["typical_p"].get<float>();
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}
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if (!body["repeat_last_n"].is_null())
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{
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llama.params.repeat_last_n = body["repeat_last_n"].get<float>();
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}
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if (!body["temperature"].is_null())
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{
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llama.params.temp = body["temperature"].get<float>();
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}
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if (!body["repeat_penalty"].is_null())
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{
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llama.params.repeat_penalty = body["repeat_penalty"].get<float>();
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}
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if (!body["presence_penalty"].is_null())
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{
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llama.params.presence_penalty = body["presence_penalty"].get<float>();
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}
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if (!body["frequency_penalty"].is_null())
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{
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llama.params.frequency_penalty = body["frequency_penalty"].get<float>();
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}
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if (!body["mirostat"].is_null())
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{
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llama.params.mirostat = body["mirostat"].get<float>();
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}
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if (!body["mirostat_tau"].is_null())
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{
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llama.params.mirostat_tau = body["mirostat_tau"].get<float>();
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}
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if (!body["mirostat_eta"].is_null())
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{
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llama.params.mirostat_eta = body["mirostat_eta"].get<float>();
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}
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if (!body["penalize_nl"].is_null())
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{
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llama.params.penalize_nl = body["penalize_nl"].get<float>();
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}
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if (!body["batch_size"].is_null())
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{
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llama.params.n_batch = body["batch_size"].get<int>();
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@ -538,6 +617,10 @@ bool parse_options_completion(json body, llama_server_context& llama, Response &
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{
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llama.params.interactive = body["interactive"].get<bool>();
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}
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if (!body["reload_ctx"].is_null())
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{
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llama.reload_ctx = body["reload_ctx"].get<int>();
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}
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if (!body["prompt"].is_null())
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{
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llama.params.prompt = body["prompt"].get<std::string>();
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