* cleanup
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09562678d9
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1 changed files with 8 additions and 10 deletions
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@ -1290,15 +1290,11 @@ struct llama_server_context
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res.result_json["model"] = slot.oaicompat_model;
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}
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// if this task has a multitask associated with it, then we update the multitask
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// parent multitask, if any, needs to be updated
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if (slot.multitask_id != -1)
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{
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update_multi_task(slot.multitask_id, slot.task_id, res);
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}
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else // otherwise update the results queue
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{
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}
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queue_results.push_back(res);
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}
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@ -1349,7 +1345,7 @@ struct llama_server_context
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// when a completion task's prompt array is not a singleton, we split it into multiple requests
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if (task.data.at("prompt").size() > 1)
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{
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auto id = split_multiprompt_task_into_subtasks(task);
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auto id = request_multiprompt_task(task);
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return id;
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}
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@ -1473,21 +1469,23 @@ struct llama_server_context
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queue_tasks.push_back(task);
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}
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int split_multiprompt_task_into_subtasks(task_server& task)
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int split_multiprompt_task(task_server& multiprompt_task)
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{
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auto prompt_count = task.data.at("prompt").size();
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auto prompt_count = multiprompt_task.data.at("prompt").size();
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assert(prompt_count > 1);
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int multitask_id = id_gen++;
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std::vector<int> subtask_ids(prompt_count);
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for (int i = 0; i < prompt_count; i++)
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{
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json subtask_data = task.data;
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json subtask_data = multiprompt_task.data;
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subtask_data["prompt"] = subtask_data["prompt"][i];
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subtask_ids[i] = request_completion(subtask_data, task.infill_mode, task.embedding_mode, multitask_id);
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// subtasks inherit everything else (infill mode, embedding mode, etc.)
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subtask_ids[i] = request_completion(subtask_data, multiprompt_task.infill_mode, multiprompt_task.embedding_mode, multitask_id);
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}
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// queue up the multitask so we can track its subtask progression
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add_multi_task(multitask_id, subtask_ids);
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return multitask_id;
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}
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