7839a2599f
Change-Id: Iedd98c03ba9d56b64390ffea23a50c945be9aff3 Reviewed-on: https://skia-review.googlesource.com/c/skia/+/305557 Commit-Queue: Nathaniel Nifong <nifong@google.com> Reviewed-by: Elliot Evans <elliotevans@google.com> Reviewed-by: Kevin Lubick <kjlubick@google.com>
98 lines
3.4 KiB
HTML
98 lines
3.4 KiB
HTML
<!-- This benchmark aims to accurately measure the time it takes for CanvasKit to render
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an SKP from our test corpus. It is very careful to measure the time between frames. This form
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of measurement makes sure we are capturing the GPU draw time. CanvasKit.flush() returns after
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it has sent all the instructions to the GPU, but we don't know the GPU is done until the next
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frame is requested. Thus, we need to keep track of the time between frames in order to
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accurately calculate draw time. Keeping track of the drawPicture and drawPicture+flush is still
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useful for telling us how much time we are spending in WASM land and if our drawing is CPU
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bound or GPU bound. If total_frame_ms is close to with_flush_ms, we are CPU bound; if
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total_frame_ms >> with_flush_ms, we are GPU bound.
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-->
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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/canvaskit.js" type="text/javascript" charset="utf-8"></script>
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<script src="/static/benchmark.js" type="text/javascript" charset="utf-8"></script>
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<style type="text/css" media="screen">
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body {
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margin: 0;
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padding: 0;
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}
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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_bench">Start Benchmark</button>
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<br>
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<canvas id=anim width=1000 height=1000 style="height: 1000px; width: 1000px;"></canvas>
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</main>
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<script type="text/javascript" charset="utf-8">
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const WIDTH = 1000;
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const HEIGHT = 1000;
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const WARM_UP_FRAMES = 10;
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const MAX_FRAMES = 201; // This should be sufficient to have low noise.
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const SKP_PATH = '/static/test.skp';
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(function() {
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const loadKit = CanvasKitInit({
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locateFile: (file) => '/static/' + file,
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});
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const loadSKP = fetch(SKP_PATH).then((resp) => {
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return resp.arrayBuffer();
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});
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Promise.all([loadKit, loadSKP]).then((values) => {
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const [CanvasKit, skpBytes] = values;
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const loadStart = performance.now();
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const skp = CanvasKit.MakeSkPicture(skpBytes);
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const loadTime = performance.now() - loadStart;
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window._perfData = {
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skp_load_ms: loadTime,
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};
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console.log('loaded skp', skp, loadTime);
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if (!skp) {
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window._error = 'could not read skp';
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return;
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}
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const urlSearchParams = new URLSearchParams(window.location.search);
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let glversion = 2;
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if (urlSearchParams.has('webgl1')) {
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glversion = 1;
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}
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const surface = getSurface(CanvasKit, glversion);
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if (!surface) {
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console.error('Could not make surface', window._error);
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return;
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}
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const canvas = surface.getCanvas();
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document.getElementById('start_bench').addEventListener('click', async () => {
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const clearColor = CanvasKit.WHITE;
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function draw() {
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canvas.clear(clearColor);
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canvas.drawPicture(skp);
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}
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const results = await startTimingFrames(draw, surface, WARM_UP_FRAMES, MAX_FRAMES);
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Object.assign(window._perfData, results);
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window._perfDone = true;
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});
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console.log('Perf is ready');
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window._perfReady = true;
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});
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}
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)();
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</script>
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</body>
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</html>
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