[canvaskit] Add test harness for running all gms and getting output
The JS starts a web server and then uses puppeteer to load the html page. The page will load the compiled JS+WASM to run the GMs, calculate the md5 hash of the pixels using the exact same algorithm as DM and then get those encoded as a PNG. The HTML then makes a post request with that image data (assuming it's not an image we have seen before) and keeps all the test results in a simple JSON array. The JSON array will be read in by a task driver in a followup CL. Bug: skia:10812 Change-Id: I90e8ed42bd96ae11fa75ce84ef2ee1a97ab93d5f Reviewed-on: https://skia-review.googlesource.com/c/skia/+/328378 Reviewed-by: Leandro Lovisolo <lovisolo@google.com>
This commit is contained in:
Kevin Lubick
parent
a25c0619b5
commit
cd74dfa477
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19
tools/run-wasm-gm-tests/package.json
Normal file
19
tools/run-wasm-gm-tests/package.json
Normal file
@ -0,0 +1,19 @@
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|
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118
tools/run-wasm-gm-tests/run-wasm-gm-tests.html
Normal file
118
tools/run-wasm-gm-tests/run-wasm-gm-tests.html
Normal file
@ -0,0 +1,118 @@
|
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<!-- This runs the GMs and unit tests which have been compiled to WASM. When this completes,
|
||||
either window._error will be set or window._testsDone will be true and window._results will be an
|
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array of the test names and what they drew.
|
||||
-->
|
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<!DOCTYPE html>
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<html>
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<head>
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<title>CanvasKit SKP Perf</title>
|
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<meta charset="utf-8" />
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<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<script src="/static/wasm_gm_tests.js" type="text/javascript" charset="utf-8"></script>
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<style type="text/css" media="screen">
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#status_text {
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min-width: 900px;
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min-height: 500px;
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</style>
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</head>
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<body>
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<main>
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<button id=start_tests>Start Tests</button>
|
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<br>
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<pre id=status_text></pre>
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<canvas id=gm_canvas></canvas>
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</main>
|
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<script type="text/javascript" charset="utf-8">
|
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const loadTestsPromise = InitWasmGMTests({
|
||||
locateFile: (file) => '/static/'+file,
|
||||
});
|
||||
|
||||
const loadKnownHashesPromise = fetch('/static/hashes.txt').then((resp) => resp.text());
|
||||
|
||||
let attemptedPOSTs = 0;
|
||||
let successfulPOSTs = 0;
|
||||
Promise.all([loadTestsPromise, loadKnownHashesPromise]).then(([GM, hashes]) => {
|
||||
LoadKnownHashes(GM, hashes);
|
||||
document.getElementById('start_tests').addEventListener('click', async () => {
|
||||
window._testsProgress = 0;
|
||||
await RunGMs(GM);
|
||||
if (attemptedPOSTs !== successfulPOSTs) {
|
||||
window._error = `Failed to POST all the PNG files (expected ${attemptedPOSTs}, finished ${successfulPOSTs})`;
|
||||
} else {
|
||||
window._testsDone = true;
|
||||
}
|
||||
});
|
||||
window._testsReady = true;
|
||||
});
|
||||
|
||||
const statusElement = document.getElementById('status_text');
|
||||
function logLineToPage(line) {
|
||||
statusElement.innerText += (line + '\n');
|
||||
}
|
||||
|
||||
// There's a global set of known hashes that we preload with the md5 hashes that are already
|
||||
// uploaded to Gold. This saves us some time to encode them and write them to disk.
|
||||
function LoadKnownHashes(GM, hashes) {
|
||||
logLineToPage(`Loading ${hashes.length} hashes`);
|
||||
console.time('load_hashes');
|
||||
for (const hash of hashes.split('\n')) {
|
||||
if (hash.length < 5) { // be sure not to add empty lines
|
||||
continue;
|
||||
}
|
||||
GM.LoadKnownDigest(hash);
|
||||
}
|
||||
console.timeEnd('load_hashes');
|
||||
logLineToPage('hashes loaded');
|
||||
}
|
||||
|
||||
async function RunGMs(GM) {
|
||||
const canvas = document.getElementById('gm_canvas');
|
||||
const ctx = GM.GetWebGLContext(canvas, 2);
|
||||
const grcontext = GM.MakeGrContext(ctx);
|
||||
window._results = [];
|
||||
|
||||
const names = GM.ListGMs();
|
||||
names.sort();
|
||||
for (const name of names) {
|
||||
const pngAndMetadata = GM.RunGM(grcontext, name);
|
||||
if (!pngAndMetadata) {
|
||||
continue;
|
||||
}
|
||||
logLineToPage(`Test ${name} drew ${pngAndMetadata.hash}`);
|
||||
window._results.push({
|
||||
name: name,
|
||||
digest: pngAndMetadata.hash,
|
||||
});
|
||||
if (pngAndMetadata.png) {
|
||||
await postPNG(pngAndMetadata.hash, pngAndMetadata.png);
|
||||
}
|
||||
window._testsProgress++;
|
||||
}
|
||||
grcontext.delete();
|
||||
}
|
||||
|
||||
async function postPNG(hash, data) {
|
||||
attemptedPOSTs += 1;
|
||||
await fetch('/write_png', {
|
||||
method: 'POST',
|
||||
body: data,
|
||||
headers: {
|
||||
'Content-type': 'image/png',
|
||||
'X-MD5-Hash': hash, // this will be used server side to create the name of the png.
|
||||
}
|
||||
}).then((resp) => {
|
||||
if (resp.ok) {
|
||||
successfulPOSTs += 1;
|
||||
} else {
|
||||
console.error('not ok response', resp);
|
||||
}
|
||||
}).catch((e) => {
|
||||
console.error('Could not post PNG', e);
|
||||
});
|
||||
}
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
255
tools/run-wasm-gm-tests/run-wasm-gm-tests.js
Normal file
255
tools/run-wasm-gm-tests/run-wasm-gm-tests.js
Normal file
@ -0,0 +1,255 @@
|
||||
/**
|
||||
* Command line application to test GMS and unit tests with puppeteer.
|
||||
* node run-wasm-gm-tests --js_file ../../out/wasm_gm_tests/wasm_gm_tests.js --wasm_file ../../out/wasm_gm_tests/wasm_gm_tests.wasm --known_hashes /tmp/gold2/tests/hashes.txt --output /tmp/gold2/tests/ --use_gpu --timeout 180
|
||||
*/
|
||||
const puppeteer = require('puppeteer');
|
||||
const express = require('express');
|
||||
const path = require('path');
|
||||
const bodyParser = require('body-parser');
|
||||
const fs = require('fs');
|
||||
const commandLineArgs = require('command-line-args');
|
||||
const commandLineUsage = require('command-line-usage');
|
||||
|
||||
const opts = [
|
||||
{
|
||||
name: 'js_file',
|
||||
typeLabel: '{underline file}',
|
||||
description: '(required) The path to wasm_gm_tests.js.'
|
||||
},
|
||||
{
|
||||
name: 'wasm_file',
|
||||
typeLabel: '{underline file}',
|
||||
description: '(required) The path to wasm_gm_tests.wasm.'
|
||||
},
|
||||
{
|
||||
name: 'known_hashes',
|
||||
typeLabel: '{underline file}',
|
||||
description: '(required) A directory containing any assets needed by lottie' +
|
||||
' files or tests (e.g. images/fonts).'
|
||||
},
|
||||
{
|
||||
name: 'output',
|
||||
typeLabel: '{underline file}',
|
||||
description: '(required) The directory to write the output JSON and images to.',
|
||||
},
|
||||
{
|
||||
name: 'use_gpu',
|
||||
description: 'Whether we should run in non-headless mode with GPU.',
|
||||
type: Boolean,
|
||||
},
|
||||
{
|
||||
name: 'enable_simd',
|
||||
description: 'enable execution of wasm SIMD operations in chromium',
|
||||
type: Boolean
|
||||
},
|
||||
{
|
||||
name: 'port',
|
||||
description: 'The port number to use, defaults to 8081.',
|
||||
type: Number,
|
||||
},
|
||||
{
|
||||
name: 'help',
|
||||
alias: 'h',
|
||||
type: Boolean,
|
||||
description: 'Print this usage guide.'
|
||||
},
|
||||
{
|
||||
name: 'timeout',
|
||||
description: 'Number of seconds to allow test to run.',
|
||||
type: Number,
|
||||
},
|
||||
];
|
||||
|
||||
const usage = [
|
||||
{
|
||||
header: 'Measruing correctness of Skia WASM code',
|
||||
content: 'Command line application to capture images drawn from tests',
|
||||
},
|
||||
{
|
||||
header: 'Options',
|
||||
optionList: opts,
|
||||
},
|
||||
];
|
||||
|
||||
// Parse and validate flags.
|
||||
const options = commandLineArgs(opts);
|
||||
|
||||
if (!options.port) {
|
||||
options.port = 8081;
|
||||
}
|
||||
if (!options.timeout) {
|
||||
options.timeout = 60;
|
||||
}
|
||||
|
||||
if (options.help) {
|
||||
console.log(commandLineUsage(usage));
|
||||
process.exit(0);
|
||||
}
|
||||
|
||||
if (!options.output) {
|
||||
console.error('You must supply an output directory.');
|
||||
console.log(commandLineUsage(usage));
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
if (!options.js_file) {
|
||||
console.error('You must supply path to wasm_gm_tests.js.');
|
||||
console.log(commandLineUsage(usage));
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
if (!options.wasm_file) {
|
||||
console.error('You must supply path to wasm_gm_tests.wasm.');
|
||||
console.log(commandLineUsage(usage));
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
if (!options.known_hashes) {
|
||||
console.error('You must supply path to known_hashes.txt');
|
||||
console.log(commandLineUsage(usage));
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const driverHTML = fs.readFileSync('run-wasm-gm-tests.html', 'utf8');
|
||||
const testJS = fs.readFileSync(options.js_file, 'utf8');
|
||||
const testWASM = fs.readFileSync(options.wasm_file, 'binary');
|
||||
const knownHashes = fs.readFileSync(options.known_hashes, 'utf8');
|
||||
|
||||
// This express webserver will serve the HTML file running the benchmark and any additional assets
|
||||
// needed to run the tests.
|
||||
const app = express();
|
||||
app.get('/', (req, res) => res.send(driverHTML));
|
||||
|
||||
// This allows the server to receive POST requests of up to 10MB for image/png and read the body
|
||||
// as raw bytes, housed in a buffer.
|
||||
app.use(bodyParser.raw({ type: 'image/png', limit: '10mb' }));
|
||||
|
||||
app.get('/static/hashes.txt', (req, res) => res.send(knownHashes));
|
||||
app.get('/static/wasm_gm_tests.js', (req, res) => res.send(testJS));
|
||||
app.get('/static/wasm_gm_tests.wasm', function(req, res) {
|
||||
// Set the MIME type so it can be streamed efficiently.
|
||||
res.type('application/wasm');
|
||||
res.send(new Buffer(testWASM, 'binary'));
|
||||
});
|
||||
app.post('/write_png', (req, res) => {
|
||||
const md5 = req.header('X-MD5-Hash');
|
||||
if (!md5) {
|
||||
res.sendStatus(400);
|
||||
return;
|
||||
}
|
||||
const data = req.body;
|
||||
const newFile = path.join(options.output, md5 + '.png');
|
||||
fs.writeFileSync(newFile, data, {
|
||||
encoding: 'binary',
|
||||
})
|
||||
res.sendStatus(200);
|
||||
});
|
||||
|
||||
const server = app.listen(options.port, () => console.log('- Local web server started.'));
|
||||
|
||||
const hash = options.use_gpu? '#gpu': '#cpu';
|
||||
const targetURL = `http://localhost:${options.port}/${hash}`;
|
||||
const viewPort = {width: 1000, height: 1000};
|
||||
|
||||
// Drive chrome to load the web page from the server we have running.
|
||||
async function driveBrowser() {
|
||||
console.log('- Launching chrome for ' + options.input);
|
||||
const browser_args = [
|
||||
'--no-sandbox',
|
||||
'--disable-setuid-sandbox',
|
||||
'--window-size=' + viewPort.width + ',' + viewPort.height,
|
||||
// The following two params allow Chrome to run at an unlimited fps. Note, if there is
|
||||
// already a chrome instance running, these arguments will have NO EFFECT, as the existing
|
||||
// Chrome instance will be used instead of puppeteer spinning up a new one.
|
||||
'--disable-frame-rate-limit',
|
||||
'--disable-gpu-vsync',
|
||||
];
|
||||
if (options.enable_simd) {
|
||||
browser_args.push('--enable-features=WebAssemblySimd');
|
||||
}
|
||||
if (options.use_gpu) {
|
||||
browser_args.push('--ignore-gpu-blacklist');
|
||||
browser_args.push('--ignore-gpu-blocklist');
|
||||
browser_args.push('--enable-gpu-rasterization');
|
||||
}
|
||||
const headless = !options.use_gpu;
|
||||
console.log("Running with headless: " + headless + " args: " + browser_args);
|
||||
let browser;
|
||||
let page;
|
||||
try {
|
||||
browser = await puppeteer.launch({
|
||||
headless: headless,
|
||||
args: browser_args,
|
||||
executablePath: options.chromium_executable_path
|
||||
});
|
||||
page = await browser.newPage();
|
||||
await page.setViewport(viewPort);
|
||||
} catch (e) {
|
||||
console.log('Could not open the browser.', e);
|
||||
process.exit(1);
|
||||
}
|
||||
console.log("Loading " + targetURL);
|
||||
try {
|
||||
await page.goto(targetURL, {
|
||||
timeout: 60000,
|
||||
waitUntil: 'networkidle0'
|
||||
});
|
||||
|
||||
// Page is mostly loaded, wait for benchmark page to report itself ready.
|
||||
console.log('Waiting 15s for benchmark to be ready');
|
||||
await page.waitForFunction(`(window._testsReady === true) || window._error`, {
|
||||
timeout: 15000,
|
||||
});
|
||||
|
||||
const err = await page.evaluate('window._error');
|
||||
if (err) {
|
||||
console.log(`ERROR: ${err}`);
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
// There is a button with id #start_tests to click (this also makes manual debugging easier).
|
||||
await page.click('#start_tests');
|
||||
|
||||
const batchSize = 50;
|
||||
let batch = batchSize;
|
||||
while (true) {
|
||||
console.log(`Waiting ${options.timeout}s for ${batchSize} tests to complete`);
|
||||
await page.waitForFunction(`(window._testsProgress >= ${batch}) || (window._testsDone === true) || window._error`, {
|
||||
timeout: options.timeout*1000,
|
||||
});
|
||||
const progress = await page.evaluate(() => {
|
||||
return {
|
||||
err: window._error,
|
||||
done: window._testsDone,
|
||||
count: window._testsProgress,
|
||||
};
|
||||
});
|
||||
if (progress.err) {
|
||||
console.log(`ERROR: ${progress.err}`);
|
||||
process.exit(1);
|
||||
}
|
||||
if (progress.done) {
|
||||
console.log(`Completed ${progress.count} tests. Finished.`);
|
||||
break;
|
||||
}
|
||||
console.log(`In Progress; completed ${progress.count} tests.`)
|
||||
batch = progress.count + batchSize;
|
||||
}
|
||||
|
||||
const goldResults = await page.evaluate('window._results');
|
||||
console.debug(goldResults);
|
||||
|
||||
const jsonFile = path.join(options.output, 'gold_results.json');
|
||||
fs.writeFileSync(jsonFile, JSON.stringify(goldResults));
|
||||
} catch(e) {
|
||||
console.log('Timed out while loading, drawing, or writing to disk.', e);
|
||||
await browser.close();
|
||||
await new Promise((resolve) => server.close(resolve));
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
await browser.close();
|
||||
await new Promise((resolve) => server.close(resolve));
|
||||
}
|
||||
|
||||
driveBrowser();
|
||||
Loading…
Reference in New Issue
Block a user