mirror of
https://github.com/gpujs/gpu.js.git
synced 2026-01-25 16:08:02 +00:00
121 lines
2.8 KiB
JavaScript
121 lines
2.8 KiB
JavaScript
const { assert, skip, test, module: describe, only } = require('qunit');
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const { GPU, WebGLFunctionNode, WebGL2FunctionNode } = require('../../src');
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describe('internal: loop max');
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test('loop max output webgl', () => {
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const functionNode = new WebGLFunctionNode((function(a, b) {
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let sum = 0;
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for (let i = 0; i < a; i++) {
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sum += b[this.thread.x][i];
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}
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return sum;
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}).toString(), {
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isRootKernel: true,
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name: 'kernel',
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output: [1],
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argumentTypes: ['Number', 'Array']
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});
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assert.equal(
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functionNode.toString(),
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'void kernel() {' +
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'\nfloat user_sum=0.0;' +
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'\nfor (int user_i=0;user_i<LOOP_MAX;user_i++){' +
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'\nif (user_i<int(user_a)) {' +
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'\nuser_sum+=get(user_b, user_bSize, user_bDim, user_bBitRatio, 0, threadId.x, user_i);' +
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'\n} else {' +
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'\nbreak;' +
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'\n}' +
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'\n}' +
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'\n' +
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'\nkernelResult = user_sum;return;' +
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'\n}');
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});
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test('loop max output webgl2', () => {
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const functionNode = new WebGL2FunctionNode((function(a, b) {
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let sum = 0;
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for (let i = 0; i < a; i++) {
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sum += b[this.thread.x][i];
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}
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return sum;
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}).toString(), {
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isRootKernel: true,
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name: 'kernel',
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output: [1],
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argumentTypes: ['Number', 'Array'],
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});
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assert.equal(
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functionNode.toString(),
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'void kernel() {' +
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'\nfloat user_sum=0.0;' +
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'\nfor (int user_i=0;user_i<LOOP_MAX;user_i++){' +
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'\nif (user_i<int(user_a)) {' +
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'\nuser_sum+=get(user_b, user_bSize, user_bDim, user_bBitRatio, 0, threadId.x, user_i);' +
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'\n} else {' +
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'\nbreak;' +
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'\n}' +
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'\n}' +
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'\n' +
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'\nkernelResult = user_sum;return;' +
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'\n}');
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});
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(GPU.isWebGLSupported ? test : skip)('loop max webgl', () => {
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const gpu = new GPU({mode: 'webgl'});
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const add = gpu.createKernel(function(a, b) {
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let sum = 0;
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for (let i = 0; i < a; i++) {
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sum += b[this.thread.x][i];
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}
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return sum;
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}).setOutput([1]);
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const output = add(1, [[1]]);
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assert.equal(
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output[0],
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1
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);
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gpu.destroy();
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});
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(GPU.isWebGL2Supported ? test : skip)('loop max webgl2', () => {
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const gpu = new GPU({mode: 'webgl2'});
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const add = gpu.createKernel(function(a, b) {
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let sum = 0;
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for (let i = 0; i < a; i++) {
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sum += b[this.thread.x][i];
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}
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return sum;
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}).setOutput([1]);
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const output = add(1, [[1]]);
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assert.equal(
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output[0],
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1
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);
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gpu.destroy();
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});
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(GPU.isHeadlessGLSupported ? test : skip)('loop max headlessgl', () => {
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const gpu = new GPU({mode: 'headlessgl'});
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const add = gpu.createKernel(function(a, b) {
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let sum = 0;
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for (let i = 0; i < a; i++) {
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sum += b[this.thread.x][i];
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}
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return sum;
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})
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.setOutput([1]);
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const output = add(1, [[1]]);
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assert.equal(
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output[0],
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1
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);
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gpu.destroy();
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});
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