mirror of
https://github.com/gpujs/gpu.js.git
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165 lines
3.4 KiB
JavaScript
165 lines
3.4 KiB
JavaScript
const { assert, skip, test, module: describe, only } = require('qunit');
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const { GPU } = require('../../src');
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describe('features: add custom function');
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function addAB(mode) {
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const gpu = new GPU({mode, functions: [customAdder] });
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function customAdder(a, b) {
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return a + b;
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}
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const kernel = gpu.createKernel(function (a, b) {
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return customAdder(a[this.thread.x], b[this.thread.x]);
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}, {
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output: [6]
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});
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assert.ok(kernel !== null, 'function generated test');
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const a = [1, 2, 3, 5, 6, 7];
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const b = [4, 5, 6, 1, 2, 3];
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const result = kernel(a, b);
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const expected = [5, 7, 9, 6, 8, 10];
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assert.deepEqual(Array.from(result), expected);
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gpu.destroy();
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}
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test('addAB auto', () => {
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addAB(null);
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});
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test('addAB gpu', () => {
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addAB('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)('addAB webgl', () => {
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addAB('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)('addAB webgl2', () => {
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addAB('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)('addAB headlessgl', () => {
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addAB('headlessgl');
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});
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test('addAB cpu', () => {
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addAB('cpu');
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});
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describe('features: add custom function with `this.constants.width` in loop');
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function sumAB(mode) {
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const gpu = new GPU({mode});
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function customAdder(a, b) {
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let sum = 0;
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for (let i = 0; i < this.constants.width; i++) {
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sum += a[this.thread.x] + b[this.thread.x];
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}
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return sum;
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}
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gpu.addFunction(customAdder);
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const kernel = gpu.createKernel(function (a, b) {
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return customAdder(a, b);
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}, {
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output: [6],
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constants: {width: 6}
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});
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assert.ok(kernel !== null, 'function generated test');
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const a = [1, 2, 3, 5, 6, 7];
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const b = [1, 1, 1, 1, 1, 1];
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const result = kernel(a , b);
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const expected = [12, 18, 24, 36, 42, 48];
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assert.deepEqual(Array.from(result), expected);
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gpu.destroy();
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}
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test('sumAB auto', () => {
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sumAB(null);
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});
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test('sumAB gpu', () => {
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sumAB('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)('sumAB webgl', () => {
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sumAB('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)('sumAB webgl2', () => {
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sumAB('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)('sumAB headlessgl', () => {
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sumAB('headlessgl');
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});
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test('sumAB cpu', () => {
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sumAB('cpu');
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});
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describe('features: add custom function with `this.output.x` in loop');
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function sumABThisOutputX(mode) {
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const gpu = new GPU({ mode, functions: [customAdder] });
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function customAdder(a, b) {
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let sum = 0;
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for (let i = 0; i < this.output.x; i++) {
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sum += a[this.thread.x] + b[this.thread.x];
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}
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return sum;
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}
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const kernel = gpu.createKernel(function(a, b) {
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return customAdder(a, b);
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}, {
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output : [6]
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});
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assert.ok(kernel !== null, 'function generated test');
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const a = [1, 2, 3, 5, 6, 7];
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const b = [1, 1, 1, 1, 1, 1];
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const result = kernel(a,b);
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const expected = [12, 18, 24, 36, 42, 48];
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assert.deepEqual(Array.from(result), expected);
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gpu.destroy();
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}
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test('sumABThisOutputX auto', () => {
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sumABThisOutputX(null);
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});
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test('sumABThisOutputX gpu', () => {
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sumABThisOutputX('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)('sumABThisOutputX webgl', () => {
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sumABThisOutputX('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)('sumABThisOutputX webgl2', () => {
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sumABThisOutputX('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)('sumABThisOutputX headlessgl', () => {
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sumABThisOutputX('headlessgl');
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});
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test('sumABThisOutputX cpu', () => {
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sumABThisOutputX('cpu');
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});
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