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83 lines
1.7 KiB
JavaScript
83 lines
1.7 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: inject native');
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function gpuAddAB(mode) {
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const gpu = new GPU({mode});
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gpu
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.injectNative(`
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int customAdder(int a, int b) {
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return a + b;
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}
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`)
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.addNativeFunction('customAdderLink', `int customAdderLink(int a, int b) {
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return customAdder(a, b);
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}`);
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const kernel = gpu.createKernel(function (a, b) {
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return customAdderLink(a[this.thread.x], b[this.thread.x]);
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}, {
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output: [6],
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returnType: 'Integer'
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});
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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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gpuAddAB(null);
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});
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test('addAB gpu', () => {
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gpuAddAB('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)('addAB webgl', () => {
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gpuAddAB('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)('addAB webgl2', () => {
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gpuAddAB('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)('addAB headlessgl', () => {
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gpuAddAB('headlessgl');
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});
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function cpuAddAB(mode) {
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function customAdder(a, b) {
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return a + b;
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}
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const gpu = new GPU({mode});
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gpu
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.injectNative(customAdder.toString());
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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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returnType: 'Integer'
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});
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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 cpu', () => {
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cpuAddAB('cpu');
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});
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