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export llama_timings as struct and expose them in server

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Tobias Lütke 2023-07-04 21:52:04 -04:00
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commit efa86bf2a6
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7 changed files with 1170 additions and 1001 deletions
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examples/server/completion.js.hpp
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@ -7,187 +7,215 @@ unsigned char completion_js[] = {
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}; };
unsigned int completion_js_len = 2275; unsigned int completion_js_len = 2615;

1560
examples/server/index.html.hpp
View File

File diff suppressed because it is too large Load Diff

13
examples/server/public/completion.js
View File

@ -5,6 +5,8 @@ const paramDefaults = {
stop: ["</s>"] stop: ["</s>"]
}; };
let generation_settings = null;
/** /**
* This function completes the input text using a llama dictionary. * This function completes the input text using a llama dictionary.
* @param {object} params - The parameters for the completion request. * @param {object} params - The parameters for the completion request.
@ -66,6 +68,9 @@ export const llamaComplete = async (params, controller, callback) => {
// if we got a stop token from server, we will break here // if we got a stop token from server, we will break here
if (result.data.stop) { if (result.data.stop) {
if(result.data.generation_settings) {
generation_settings = result.data.generation_settings;
}
break; break;
} }
} }
@ -79,3 +84,11 @@ export const llamaComplete = async (params, controller, callback) => {
return content; return content;
} }
export const llamaModelInfo = async () => {
if (!generation_settings) {
generation_settings = await fetch("/model.json").then(r => r.json());
}
return generation_settings;
}

65
examples/server/public/index.html
View File

@ -6,7 +6,6 @@
<title>llama.cpp - chat</title> <title>llama.cpp - chat</title>
<style> <style>
body { body {
background-color: #fff; background-color: #fff;
color: #000; color: #000;
@ -22,10 +21,6 @@
height: 100%; height: 100%;
} }
header, footer {
text-align: center;
}
main { main {
margin: 3px; margin: 3px;
display: flex; display: flex;
@ -99,6 +94,15 @@
margin: 0.5em 0; margin: 0.5em 0;
display: block; display: block;
} }
header, footer {
text-align: center;
}
footer {
font-size: 80%;
color: #888;
}
</style> </style>
<script type="module"> <script type="module">
@ -109,7 +113,7 @@
import { llamaComplete } from '/completion.js'; import { llamaComplete } from '/completion.js';
const session = signal({ const session = signal({
prompt: "This is a conversation between user and llama, a friendly chatbot. respond in markdown.", prompt: "This is a conversation between user and llama, a friendly chatbot. respond in simple markdown.",
template: "{{prompt}}\n\n{{history}}\n{{char}}:", template: "{{prompt}}\n\n{{history}}\n{{char}}:",
historyTemplate: "{{name}}: {{message}}", historyTemplate: "{{name}}: {{message}}",
transcript: [], transcript: [],
@ -118,15 +122,6 @@
user: "User", user: "User",
}) })
const transcriptUpdate = (transcript) => {
session.value = {
...session.value,
transcript
}
}
const chatStarted = computed(() => session.value.transcript.length > 0)
const params = signal({ const params = signal({
n_predict: 400, n_predict: 400,
temperature: 0.7, temperature: 0.7,
@ -136,8 +131,18 @@
top_p: 0.5, top_p: 0.5,
}) })
const llamaStats = signal(null)
const controller = signal(null) const controller = signal(null)
const generating = computed(() => controller.value == null ) const generating = computed(() => controller.value == null )
const chatStarted = computed(() => session.value.transcript.length > 0)
const transcriptUpdate = (transcript) => {
session.value = {
...session.value,
transcript
}
}
// simple template replace // simple template replace
const template = (str, extraSettings) => { const template = (str, extraSettings) => {
@ -181,7 +186,11 @@
transcriptUpdate([...history, ["{{char}}", currentMessage]]) transcriptUpdate([...history, ["{{char}}", currentMessage]])
if (data.stop) { if (data.stop) {
console.log("-->", data, ' response was:', currentMessage, 'transcript state:', session.value.transcript); console.log("Completion finished: '", currentMessage, "', summary: ", data);
}
if (data.timings) {
llamaStats.value = data.timings;
} }
}) })
@ -220,7 +229,6 @@
<form onsubmit=${submit}> <form onsubmit=${submit}>
<div> <div>
<textarea type="text" rows=2 onkeypress=${enterSubmits} value="${message}" oninput=${(e) => message.value = e.target.value} placeholder="Say something..."/> <textarea type="text" rows=2 onkeypress=${enterSubmits} value="${message}" oninput=${(e) => message.value = e.target.value} placeholder="Say something..."/>
</div> </div>
<div class="right"> <div class="right">
<button type="submit" disabled=${!generating.value} >Send</button> <button type="submit" disabled=${!generating.value} >Send</button>
@ -243,7 +251,7 @@
}, [messages]) }, [messages])
const chatLine = ([user, msg]) => { const chatLine = ([user, msg]) => {
return html`<p key=${msg}><strong>${template(user)}:</strong> <${Markdown} text=${template(msg)} /></p>` return html`<p key=${msg}><strong>${template(user)}:</strong> <${Markdownish} text=${template(msg)} /></p>`
}; };
return html` return html`
@ -313,7 +321,8 @@
</form> </form>
` `
} }
const Markdown = (params) => { // poor mans markdown replacement
const Markdownish = (params) => {
const md = params.text const md = params.text
.replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>') .replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
.replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>') .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
@ -326,6 +335,17 @@ const Markdown = (params) => {
return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`; return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
}; };
const ModelGenerationInfo = (params) => {
if (!llamaStats.value) {
return html`<span/>`
}
return html`
<span>
${llamaStats.value.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.predicted_per_second.toFixed(2)} tokens per second
</span>
`
}
function App(props) { function App(props) {
return html` return html`
@ -338,12 +358,13 @@ const Markdown = (params) => {
<${chatStarted.value ? ChatLog : ConfigForm} /> <${chatStarted.value ? ChatLog : ConfigForm} />
</main> </main>
<footer id="write"> <section id="write">
<${MessageInput} /> <${MessageInput} />
</footer> </section>
<footer> <footer>
<p>Powered by <a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a></p> <p><${ModelGenerationInfo} /></p>
<p>Powered by <a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a>.</p>
</footer> </footer>
</div> </div>
`; `;

42
examples/server/server.cpp
View File

@ -726,6 +726,8 @@ static json format_generation_settings(llama_server_context & llama) {
eos_bias->second < 0.0f && std::isinf(eos_bias->second); eos_bias->second < 0.0f && std::isinf(eos_bias->second);
return json { return json {
{ "n_ctx", llama.params.n_ctx },
{ "model", llama.params.model_alias },
{ "seed", llama.params.seed }, { "seed", llama.params.seed },
{ "temp", llama.params.temp }, { "temp", llama.params.temp },
{ "top_k", llama.params.top_k }, { "top_k", llama.params.top_k },
@ -756,13 +758,29 @@ static json format_embedding_response(llama_server_context & llama) {
}; };
} }
static json format_timings(llama_server_context & llama) {
const auto timings = llama_get_timings(llama.ctx);
assert(timings.n_eval == llama.num_tokens_predicted);
return json {
{ "prompt_n", timings.n_eval },
{ "prompt_ms", timings.prompt_eval_time_ms },
{ "prompt_per_token_ms", timings.prompt_eval_time_ms / timings.n_p_eval },
{ "prompt_per_second", 1e3 / timings.prompt_eval_time_ms * timings.n_p_eval },
{ "predicted_n", timings.n_eval },
{ "predicted_ms", timings.eval_time_ms },
{ "predicted_per_token_ms", timings.eval_time_ms / timings.n_eval },
{ "predicted_per_second", 1e3 / timings.eval_time_ms * timings.n_eval },
};
}
static json format_final_response(llama_server_context & llama, const std::string & content, const std::vector<completion_token_output> & probs) { static json format_final_response(llama_server_context & llama, const std::string & content, const std::vector<completion_token_output> & probs) {
json res = json { json res = json {
{ "content", content }, { "content", content },
{ "stop", true }, { "stop", true },
{ "model", llama.params.model_alias },
{ "tokens_predicted", llama.num_tokens_predicted },
{ "generation_settings", format_generation_settings(llama) }, { "generation_settings", format_generation_settings(llama) },
{ "prompt", llama.params.prompt }, { "prompt", llama.params.prompt },
{ "truncated", llama.truncated }, { "truncated", llama.truncated },
@ -770,6 +788,9 @@ static json format_final_response(llama_server_context & llama, const std::strin
{ "stopped_word", llama.stopped_word }, { "stopped_word", llama.stopped_word },
{ "stopped_limit", llama.stopped_limit }, { "stopped_limit", llama.stopped_limit },
{ "stopping_word", llama.stopping_word }, { "stopping_word", llama.stopping_word },
{ "tokens_cached", llama.n_past },
{ "tokens_predicted", llama.num_tokens_predicted },
{ "timings", format_timings(llama) },
}; };
if (llama.params.n_probs > 0) { if (llama.params.n_probs > 0) {
@ -913,18 +934,18 @@ int main(int argc, char ** argv) {
{ "Access-Control-Allow-Headers", "content-type" } { "Access-Control-Allow-Headers", "content-type" }
}); });
// this is only called if no index.js is found in the public --path
svr.Get("/index.js", [](const Request &, Response & res) {
res.set_content(reinterpret_cast<const char *>(&index_js), index_js_len, "text/javascript");
return false;
});
// this is only called if no index.html is found in the public --path // this is only called if no index.html is found in the public --path
svr.Get("/", [](const Request &, Response & res) { svr.Get("/", [](const Request &, Response & res) {
res.set_content(reinterpret_cast<const char*>(&index_html), index_html_len, "text/html"); res.set_content(reinterpret_cast<const char*>(&index_html), index_html_len, "text/html");
return false; return false;
}); });
// this is only called if no index.js is found in the public --path
svr.Get("/index.js", [](const Request &, Response & res) {
res.set_content(reinterpret_cast<const char *>(&index_js), index_js_len, "text/javascript");
return false;
});
// this is only called if no index.html is found in the public --path // this is only called if no index.html is found in the public --path
svr.Get("/completion.js", [](const Request &, Response & res) { svr.Get("/completion.js", [](const Request &, Response & res) {
res.set_content(reinterpret_cast<const char*>(&completion_js), completion_js_len, "application/javascript"); res.set_content(reinterpret_cast<const char*>(&completion_js), completion_js_len, "application/javascript");
@ -1039,6 +1060,11 @@ int main(int argc, char ** argv) {
} }
}); });
svr.Get("/model.json", [&llama](const Request &, Response & res) {
const json data = format_generation_settings(llama);
return res.set_content(data.dump(), "application/json");
});
svr.Options(R"(/.*)", [](const Request &, Response & res) { svr.Options(R"(/.*)", [](const Request &, Response & res) {
return res.set_content("", "application/json"); return res.set_content("", "application/json");
}); });

32
llama.cpp
View File

@ -3473,23 +3473,35 @@ llama_token llama_token_nl() {
return 13; return 13;
} }
llama_timings llama_get_timings(struct llama_context * ctx) {
llama_timings timings;
timings.t_end_ms = ggml_time_ms();
timings.t_start_ms = 1e-3 * ctx->t_start_us;
timings.load_time_ms = 1e-3 * ctx->t_load_us;
timings.sample_time_ms = 1e-3 * ctx->t_sample_us;
timings.prompt_eval_time_ms = 1e-3 * ctx->t_p_eval_us;
timings.eval_time_ms = 1e-3 * ctx->t_eval_us;
timings.n_sample = std::max(1, ctx->n_sample);
timings.n_p_eval = std::max(1, ctx->n_p_eval);
timings.n_eval = std::max(1, ctx->n_eval);
return timings;
}
void llama_print_timings(struct llama_context * ctx) { void llama_print_timings(struct llama_context * ctx) {
const int64_t t_end_us = ggml_time_us(); llama_timings timings = llama_get_timings(ctx);
const int32_t n_sample = std::max(1, ctx->n_sample);
const int32_t n_eval = std::max(1, ctx->n_eval);
const int32_t n_p_eval = std::max(1, ctx->n_p_eval);
fprintf(stderr, "\n"); fprintf(stderr, "\n");
fprintf(stderr, "%s: load time = %8.2f ms\n", __func__, ctx->t_load_us / 1000.0); fprintf(stderr, "%s: load time = %8.2f ms\n", __func__, timings.load_time_ms);
fprintf(stderr, "%s: sample time = %8.2f ms / %5d runs (%8.2f ms per token, %8.2f tokens per second)\n", fprintf(stderr, "%s: sample time = %8.2f ms / %5d runs (%8.2f ms per token, %8.2f tokens per second)\n",
__func__, 1e-3 * ctx->t_sample_us, n_sample, 1e-3 * ctx->t_sample_us / n_sample, 1e6 / ctx->t_sample_us * n_sample); __func__, timings.sample_time_ms, timings.n_sample, timings.sample_time_ms / timings.n_sample, 1e3 / timings.sample_time_ms * timings.n_sample);
fprintf(stderr, "%s: prompt eval time = %8.2f ms / %5d tokens (%8.2f ms per token, %8.2f tokens per second)\n", fprintf(stderr, "%s: prompt eval time = %8.2f ms / %5d tokens (%8.2f ms per token, %8.2f tokens per second)\n",
__func__, 1e-3 * ctx->t_p_eval_us, n_p_eval, 1e-3 * ctx->t_p_eval_us / n_p_eval, 1e6 / ctx->t_p_eval_us * n_p_eval); __func__, timings.prompt_eval_time_ms, timings.n_p_eval, timings.prompt_eval_time_ms / timings.n_p_eval, 1e3 / timings.prompt_eval_time_ms * timings.n_p_eval);
fprintf(stderr, "%s: eval time = %8.2f ms / %5d runs (%8.2f ms per token, %8.2f tokens per second)\n", fprintf(stderr, "%s: eval time = %8.2f ms / %5d runs (%8.2f ms per token, %8.2f tokens per second)\n",
__func__, 1e-3 * ctx->t_eval_us, n_eval, 1e-3 * ctx->t_eval_us / n_eval, 1e6 / ctx->t_eval_us * n_eval); __func__, timings.eval_time_ms, timings.n_eval, timings.eval_time_ms / timings.n_eval, 1e3 / timings.eval_time_ms * timings.n_eval);
fprintf(stderr, "%s: total time = %8.2f ms\n", __func__, (t_end_us - ctx->t_start_us)/1000.0); fprintf(stderr, "%s: total time = %8.2f ms\n", __func__, (timings.t_end_ms - timings.t_start_ms));
} }
void llama_reset_timings(struct llama_context * ctx) { void llama_reset_timings(struct llama_context * ctx) {

15
llama.h
View File

@ -134,6 +134,20 @@ extern "C" {
bool quantize_output_tensor; // quantize output.weight bool quantize_output_tensor; // quantize output.weight
} llama_model_quantize_params; } llama_model_quantize_params;
// performance timing information
struct llama_timings {
double t_start_ms;
double t_end_ms;
double load_time_ms;
double sample_time_ms;
double prompt_eval_time_ms;
double eval_time_ms;
int32_t n_sample;
int32_t n_p_eval;
int32_t n_eval;
};
LLAMA_API struct llama_context_params llama_context_default_params(); LLAMA_API struct llama_context_params llama_context_default_params();
LLAMA_API struct llama_model_quantize_params llama_model_quantize_default_params(); LLAMA_API struct llama_model_quantize_params llama_model_quantize_default_params();
@ -331,6 +345,7 @@ extern "C" {
LLAMA_API llama_token llama_sample_token(struct llama_context * ctx, llama_token_data_array * candidates); LLAMA_API llama_token llama_sample_token(struct llama_context * ctx, llama_token_data_array * candidates);
// Performance information // Performance information
LLAMA_API llama_timings llama_get_timings(struct llama_context * ctx);
LLAMA_API void llama_print_timings(struct llama_context * ctx); LLAMA_API void llama_print_timings(struct llama_context * ctx);
LLAMA_API void llama_reset_timings(struct llama_context * ctx); LLAMA_API void llama_reset_timings(struct llama_context * ctx);