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https://github.com/huggingface/text-generation-inference.git
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test throughput
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@ -1,4 +1,4 @@
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import { check } from 'k6';
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import { check, sleep } from 'k6';
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import { scenario } from 'k6/execution';
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import http from 'k6/http';
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import { Trend, Counter } from 'k6/metrics';
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@ -33,13 +33,13 @@ export function get_options() {
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// rate: 20,
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// timeUnit: '1s',
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// },
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load_test: {
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executor: 'constant-arrival-rate',
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duration: '60s',
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preAllocatedVUs: 10, // not enough RAM for 100 VUs
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rate: 1,
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timeUnit: '1s',
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},
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// load_test: {
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// executor: 'constant-arrival-rate',
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// duration: '60s',
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// preAllocatedVUs: 10, // not enough RAM for 100 VUs
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// rate: 1,
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// timeUnit: '1s',
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// },
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// breakpoint: {
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// executor: 'ramping-arrival-rate', //Assure load increase if the system slows
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// preAllocatedVUs: 300,
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@ -47,19 +47,21 @@ export function get_options() {
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// { duration: '60s', target: 100 }, // just slowly ramp-up to a HUGE load
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// ],
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// },
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// throughput: {
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// executor: 'shared-iterations',
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// vus: 100,
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// iterations: 200,
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// maxDuration: '40s',
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// },
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throughput: {
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executor: 'shared-iterations',
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vus: 100,
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iterations: 500,
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maxDuration: '400s',
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},
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},
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};
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}
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function generate_payload(gpt, max_new_tokens) {
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const input = gpt["conversations"][0]["value"];
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return { "messages": [{ "role": "user", "content": input }], "temperature": 0, "model": `${model_id}`, "max_tokens": max_new_tokens }
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return { "messages": [
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{ "role": "user", "content": input.substring(0, 5000) }
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], "temperature": 0, "model": `${model_id}`, "max_tokens": max_new_tokens }
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}
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export const options = get_options();
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@ -71,12 +73,14 @@ export default function run() {
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const res = http.post(`https://${host}/v1/chat/completions`, payload, {
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headers,
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});
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if (res.status >= 400 && res.status < 500) {
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return;
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}
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// if (res.status >= 400 && res.status < 500) {
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// return;
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// }
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if (res.status !== 200) {
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console.error(res.body);
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console.error('status: ' + res.status);
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return;
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}
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check(res, {
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@ -94,4 +98,6 @@ export default function run() {
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new_tokens.add(completion_tokens);
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tokens.add(completion_tokens + prompt_tokens);
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}
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sleep(1);
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}
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