huggingface/text-generation-inference
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Updating the benchmarks so everyone uses openai compat layer.

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This commit is contained in:
Nicolas Patry 2024-04-23 21:07:36 +00:00
parent ed72e92126
commit ba33c66b5b
3 changed files with 29 additions and 51 deletions
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42
load_tests/common.js
View File

@ -5,32 +5,35 @@ import { randomItem } from 'https://jslib.k6.io/k6-utils/1.2.0/index.js';
const seed = 0;
const host = __ENV.HOST || '127.0.0.1:8000';
const host = __ENV.HOST;
const model_id = __ENV.MODEL_ID;
const timePerToken = new Trend('time_per_token', true);
const tokens = new Counter('tokens');
const new_tokens = new Counter('new_tokens');
const input_tokens = new Counter('input_tokens');
const max_new_tokens = 50;
const reference_latency_ms = 32;
randomSeed(seed);
// const shareGPT = JSON.parse(open("ShareGPT_V3_unfiltered_cleaned_split.json"))
const shareGPT = JSON.parse(open("small.json"))
export function get_options(reference_latency_ms){
export function get_options() {
return {
thresholds: {
http_req_failed: ['rate==0'],
time_per_token: [{
threshold: `p(50)<${5 * reference_latency_ms}`,
abortOnFail: true,
delayAbortEval: '10s'
}],
// time_per_token: [{
// threshold: `p(50)<${5 * reference_latency_ms}`,
// abortOnFail: true,
// delayAbortEval: '10s'
// }],
},
scenarios: {
load_test: {
executor: 'constant-arrival-rate',
duration: '60s',
preAllocatedVUs: 10,
preAllocatedVUs: 1000,
rate: 10,
timeUnit: '1s',
},
@ -38,12 +41,16 @@ export function get_options(reference_latency_ms){
};
}
function generate_payload(gpt, max_new_tokens) {
const input = gpt["conversations"][0]["value"];
return { "messages": [{ "role": "user", "content": input }], "temperature": 0.5, "ignore_eos": true, "model": `${model_id}`, "max_tokens": max_new_tokens }
}
export function run(host, generate_payload, max_new_tokens) {
export function run() {
const headers = { 'Content-Type': 'application/json' };
const query = randomItem(shareGPT);
const payload = JSON.stringify(generate_payload(query));
const res = http.post(`http://${host}/generate`, payload, {
const payload = JSON.stringify(generate_payload(query, max_new_tokens));
const res = http.post(`http://${host}/v1/chat/completions`, payload, {
headers,
});
if (res.status >= 400 && res.status < 500) {
@ -58,14 +65,19 @@ export function run(host, generate_payload, max_new_tokens) {
if (res.status === 200) {
const body = res.json();
const n_tokens = body.details.tokens.length;
const n_tokens = body.usage.completion_tokens;
const latency_ms_per_token = duration / n_tokens;
timePerToken.add(latency_ms_per_token);
const latency_in_s = latency_ms_per_token / 1000;
const individual_throughput = 1 / latency_in_s;
const _input_tokens = body.details.prefill.length;
const _input_tokens = body.usage.prompt_tokens;
tokens.add(n_tokens + _input_tokens);
input_tokens.add(_input_tokens);
new_tokens.add(n_tokens);
tokens.add(n_tokens + _input_tokens);
}
}
export const options = get_options();
export default function() {
run();
}

17
load_tests/tgi.js
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@ -1,17 +0,0 @@
import { get_options, run } from "./common.js";
const reference_latency_ms = 70;
const host = __ENV.HOST || '127.0.0.1:8000';
const max_new_tokens = 50;
function generate_payload(gpt){
const input = gpt["conversations"][0]["value"];
return {"inputs": input, "parameters": {"max_new_tokens": max_new_tokens, "decoder_input_details": true}}
}
export const options = get_options(reference_latency_ms);
export default function(){
run(host, generate_payload, max_new_tokens);
}

17
load_tests/vllm.js
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@ -1,17 +0,0 @@
import { get_options, run } from "./common.js";
const reference_latency_ms = 22;
const host = __ENV.HOST || '127.0.0.1:8000';
const max_new_tokens = 50;
function generate_payload(gpt){
const input = gpt["conversations"][0]["value"];
return {"prompt": input, "temperature": 0.5, "ignore_eos": true}
}
export const options = get_options(reference_latency_ms);
export default function(){
run(host, generate_payload, max_new_tokens);
}