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server: Add "tokens per second" information in the backend (#10548)
* add cmake rvv support * add timings * remove space * update readme * fix * fix code * remove empty line * add test --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
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@ -133,6 +133,7 @@ struct common_params_sampling {
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bool penalize_nl = false; // consider newlines as a repeatable token
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bool ignore_eos = false;
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bool no_perf = false; // disable performance metrics
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bool timing_per_token = false;
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std::vector<std::string> dry_sequence_breakers = {"\n", ":", "\"", "*"}; // default sequence breakers for DRY
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@ -416,6 +416,8 @@ node index.js
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`samplers`: The order the samplers should be applied in. An array of strings representing sampler type names. If a sampler is not set, it will not be used. If a sampler is specified more than once, it will be applied multiple times. Default: `["dry", "top_k", "typ_p", "top_p", "min_p", "xtc", "temperature"]` - these are all the available values.
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`timings_per_token`: Include prompt processing and text generation speed information in each response. Default: `false`
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**Response format**
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- Note: When using streaming mode (`stream`), only `content` and `stop` will be returned until end of completion.
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@ -177,6 +177,8 @@ struct server_slot {
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bool stopped_word = false;
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bool stopped_limit = false;
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bool timings_per_token = false;
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bool oaicompat = false;
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std::string oaicompat_model;
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@ -882,6 +884,8 @@ struct server_context {
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slot.oaicompat_model = "";
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}
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slot.timings_per_token = json_value(data, "timings_per_token", false);
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slot.params.stream = json_value(data, "stream", false);
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slot.params.cache_prompt = json_value(data, "cache_prompt", true);
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slot.params.n_predict = json_value(data, "n_predict", json_value(data, "max_tokens", defaults.n_predict));
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@ -1279,6 +1283,7 @@ struct server_context {
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{"speculative.n_max", slot.params.speculative.n_max},
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{"speculative.n_min", slot.params.speculative.n_min},
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{"speculative.p_min", slot.params.speculative.p_min},
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{"timings_per_token", slot.timings_per_token},
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};
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}
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@ -1336,6 +1341,10 @@ struct server_context {
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res.data["model"] = slot.oaicompat_model;
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}
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if (slot.timings_per_token) {
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res.data["timings"] = slot.get_formated_timings();
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}
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queue_results.send(res);
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}
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@ -2274,12 +2283,17 @@ struct server_context {
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common_sampler_accept(slot.smpl, id, true);
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slot.n_decoded += 1;
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const int64_t t_current = ggml_time_us();
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if (slot.n_decoded == 1) {
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slot.t_start_generation = ggml_time_us();
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slot.t_start_generation = t_current;
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slot.t_prompt_processing = (slot.t_start_generation - slot.t_start_process_prompt) / 1e3;
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metrics.on_prompt_eval(slot);
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}
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slot.t_token_generation = (t_current - slot.t_start_generation) / 1e3;
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completion_token_output result;
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result.tok = id;
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@ -146,3 +146,20 @@ def test_invalid_chat_completion_req(messages):
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})
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assert res.status_code == 400 or res.status_code == 500
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assert "error" in res.body
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def test_chat_completion_with_timings_per_token():
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global server
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server.start()
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res = server.make_stream_request("POST", "/chat/completions", data={
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"max_tokens": 10,
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"messages": [{"role": "user", "content": "test"}],
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"stream": True,
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"timings_per_token": True,
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})
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for data in res:
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assert "timings" in data
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assert "prompt_per_second" in data["timings"]
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assert "predicted_per_second" in data["timings"]
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assert "predicted_n" in data["timings"]
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assert data["timings"]["predicted_n"] <= 10
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@ -650,6 +650,10 @@ static json format_final_response_oaicompat(const json & request, const json & r
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res["completion_probabilities"] = json_value(result, "completion_probabilities", json::array());
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}
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if (result.contains("timings")) {
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res.push_back({"timings", json_value(result, "timings", json::object())});
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}
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return res;
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}
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@ -740,6 +744,11 @@ static std::vector<json> format_partial_response_oaicompat(const json & result,
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{"model", modelname},
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{"object", "chat.completion.chunk"}
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};
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if (result.contains("timings")) {
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ret.push_back({"timings", json_value(result, "timings", json::object())});
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}
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if (!finish_reason.empty()) {
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int num_tokens_predicted = json_value(result, "tokens_predicted", 0);
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int num_prompt_tokens = json_value(result, "tokens_evaluated", 0);
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