blob: fa4ee17fe7f36daf04248ebd8555e7ab7b67d49a [file] [log] [blame]
/*
* Copyright (C) 2017 Apple Inc. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY APPLE INC. ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL APPLE INC. OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
"use strict";
const MLBenchmarkCode = String.raw`
<script src="ml/index.js"></script>
<script src="ml/benchmark.js"></script>
<script>
var results = [];
var benchmark = new MLBenchmark();
var numIterations = 60;
for (var i = 0; i < numIterations; ++i) {
var before = currentTime();
benchmark.runIteration();
var after = currentTime();
results.push(after - before);
}
reportResult(results);
</script>`;
let runMLBenchmark = null;
if (!isInBrowser) {
let sources = [
"ml/index.js"
, "ml/benchmark.js"
];
runMLBenchmark = makeBenchmarkRunner(sources, "MLBenchmark", 60);
}
const MLBenchmarkRunner = {
name: "ML",
code: MLBenchmarkCode,
run: runMLBenchmark,
cells: {}
};
if (isInBrowser) {
MLBenchmarkRunner.cells = {
firstIteration: document.getElementById("MLFirstIteration"),
averageWorstCase: document.getElementById("MLAverageWorstCase"),
steadyState: document.getElementById("MLSteadyState"),
message: document.getElementById("MLMessage")
};
}