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Updating the benchmarks so everyone uses openai compat layer. (#1800) 

# What does this PR do?

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This commit is contained in:
Nicolas Patry 2024-04-25 15:42:17 +02:00 committed by GitHub
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commit fccf5edf45
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3 changed files with 53 additions and 64 deletions
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83
load_tests/common.js
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@ -1,71 +1,94 @@
import { check, randomSeed } from 'k6'; import { check } from 'k6';
import { scenario } from 'k6/execution';
import http from 'k6/http'; import http from 'k6/http';
import { Trend, Counter } from 'k6/metrics'; import { Trend, Counter } from 'k6/metrics';
import { randomItem } from 'https://jslib.k6.io/k6-utils/1.2.0/index.js';
const seed = 0; const host = __ENV.HOST;
const model_id = __ENV.MODEL_ID;
const host = __ENV.HOST || '127.0.0.1:8000';
const timePerToken = new Trend('time_per_token', true); const timePerToken = new Trend('time_per_token', true);
const tokens = new Counter('tokens'); const tokens = new Counter('tokens');
const new_tokens = new Counter('new_tokens'); const new_tokens = new Counter('new_tokens');
const input_tokens = new Counter('input_tokens'); const input_tokens = new Counter('input_tokens');
const max_new_tokens = 50;
randomSeed(seed);
// const shareGPT = JSON.parse(open("ShareGPT_V3_unfiltered_cleaned_split.json")) // const shareGPT = JSON.parse(open("ShareGPT_V3_unfiltered_cleaned_split.json"))
const shareGPT = JSON.parse(open("small.json")) const shareGPT = JSON.parse(open("small.json"))
export function get_options(reference_latency_ms){ export function get_options() {
return { return {
thresholds: { thresholds: {
http_req_failed: ['rate==0'], http_req_failed: ['rate==0'],
time_per_token: [{ // time_per_token: [{
threshold: `p(50)<${5 * reference_latency_ms}`, // threshold: `p(50)<${5 * reference_latency_ms}`,
abortOnFail: true, // abortOnFail: true,
delayAbortEval: '10s' // delayAbortEval: '10s'
}], // }],
}, },
scenarios: { scenarios: {
load_test: { single_user: {
executor: 'constant-arrival-rate', executor: 'constant-arrival-rate',
duration: '60s', duration: '60s',
preAllocatedVUs: 10, preAllocatedVUs: 1,
rate: 10, rate: 1,
timeUnit: '1s', timeUnit: '1s',
}, },
// load_test: {
// executor: 'constant-arrival-rate',
// duration: '60s',
// preAllocatedVUs: 100,
// rate: 1,
// timeUnit: '1s',
// },
// breakpoint: {
// executor: 'ramping-arrival-rate', //Assure load increase if the system slows
// preAllocatedVUs: 1000,
// stages: [
// { duration: '60s', target: 100 }, // just slowly ramp-up to a HUGE load
// ],
// },
// throughput: {
// executor: 'shared-iterations',
// vus: 100,
// iterations: 200,
// maxDuration: '40s',
// },
}, },
}; };
} }
function generate_payload(gpt, max_new_tokens) {
const input = gpt["conversations"][0]["value"];
return { "messages": [{ "role": "user", "content": input }], "temperature": 0, "model": `${model_id}`, "max_tokens": max_new_tokens }
}
export function run(host, generate_payload, max_new_tokens) { export const options = get_options();
const headers = {'Content-Type': 'application/json'};
const query = randomItem(shareGPT); export default function run() {
const payload = JSON.stringify(generate_payload(query)); const headers = { 'Content-Type': 'application/json' };
const res = http.post(`http://${host}/generate`, payload, { const query = shareGPT[scenario.iterationInTest % shareGPT.length];
const payload = JSON.stringify(generate_payload(query, max_new_tokens));
const res = http.post(`http://${host}/v1/chat/completions`, payload, {
headers, headers,
}); });
if(res.status >= 400 && res.status < 500){ if (res.status >= 400 && res.status < 500) {
return; return;
} }
check(res, { check(res, {
'Post status is 200': (r) => res.status === 200, 'Post status is 200': (res) => res.status === 200,
}); });
const duration = res.timings.duration; const duration = res.timings.duration;
if (res.status === 200) { if (res.status === 200) {
const body = res.json(); const body = res.json();
const n_tokens = body.details.tokens.length; const completion_tokens = body.usage.completion_tokens;
const latency_ms_per_token = duration / n_tokens; const latency_ms_per_token = duration / completion_tokens;
timePerToken.add(latency_ms_per_token); timePerToken.add(latency_ms_per_token);
const latency_in_s = latency_ms_per_token / 1000; const prompt_tokens = body.usage.prompt_tokens;
const individual_throughput = 1 / latency_in_s; input_tokens.add(prompt_tokens);
const _input_tokens = body.details.prefill.length; new_tokens.add(completion_tokens);
tokens.add(n_tokens + _input_tokens); tokens.add(completion_tokens + prompt_tokens);
input_tokens.add(_input_tokens);
new_tokens.add(n_tokens);
} }
} }

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);
}