mirror of
https://github.com/gpujs/gpu.js.git
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fix: Float handling feat: added `optimizeFloatMemory` to better exemplify what it does and replace `floatTextures` and its voodoo in webgl2 feat: end to end strong type detection Note: added a bunch of TODO's this is just a good resting point.
279 lines
6.4 KiB
JavaScript
279 lines
6.4 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 native');
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const glslDivide = `float divide(float a, float b) {
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return a / b;
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}`;
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const jsDivide = `function divide(a, b) {
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return a / b;
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}`;
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function nativeDivide(mode, fn) {
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const gpu = new GPU({ mode });
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gpu.addNativeFunction('divide', fn, { returnType: 'Number' });
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const f = gpu.createKernel(function(a, b) {
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return divide(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(f !== null, 'function generated test');
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const a = [1, 4, 3, 5, 6, 3];
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const b = [4, 2, 6, 1, 2, 3];
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const res = f(a,b);
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const exp = [0.25, 2, 0.5, 5, 3, 1];
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for(let i = 0; i < exp.length; ++i) {
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assert.equal(res[i], exp[i], 'Result arr idx: '+i);
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}
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gpu.destroy();
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}
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test('nativeDivide auto', () => {
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nativeDivide(null, glslDivide);
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});
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test('nativeDivide gpu', () => {
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nativeDivide('gpu', glslDivide);
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});
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(GPU.isWebGLSupported ? test : skip)('nativeDivide webgl', () => {
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nativeDivide('webgl', glslDivide);
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});
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(GPU.isWebGL2Supported ? test : skip)('nativeDivide webgl2', () => {
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nativeDivide('webgl2', glslDivide);
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});
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(GPU.isHeadlessGLSupported ? test : skip)('nativeDivide headlessgl', () => {
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nativeDivide('headlessgl', glslDivide);
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});
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test('nativeDivide cpu', () => {
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nativeDivide('cpu', jsDivide);
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});
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describe('features: instantiate native and override');
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function divideOverride(mode) {
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const gpu = new GPU({
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mode,
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functions: [divide],
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nativeFunctions: {
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// deliberately add, rather than divide, to ensure native functions are treated as more important than regular ones
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divide: `float divide(float a, float b) {
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return a + b;
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}`
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}
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});
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function divide(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 divide(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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const a = [1, 4, 3, 5, 6, 3];
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const b = [4, 2, 6, 1, 2, 3];
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const res = kernel(a,b);
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const exp = [5, 6, 9, 6, 8, 6];
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assert.deepEqual(Array.from(res), exp);
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gpu.destroy();
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}
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test('divideOverride (GPU only) auto', () => {
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divideOverride(null);
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});
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test('divideOverride (GPU only) gpu', () => {
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divideOverride('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)('divideOverride (GPU only) webgl', () => {
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divideOverride('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)('divideOverride (GPU only) webgl2', () => {
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divideOverride('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)('divideOverride (GPU only) headlessgl', () => {
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divideOverride('headlessgl');
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});
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describe('features: argument casting');
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function argumentCasting(mode) {
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const gpu = new GPU({
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mode,
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functions: [divide],
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nativeFunctions: {
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// deliberately add, rather than divide, to ensure native functions are treated as more important than regular ones
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divide: `float divide(int a, int b) {
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return float(a + b);
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}`
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}
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});
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function divide(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 divide(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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const a = [1, 4, 3, 5, 6, 3];
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const b = [4, 2, 6, 1, 2, 3];
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const res = kernel(a,b);
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const exp = [5, 6, 9, 6, 8, 6];
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assert.deepEqual(Array.from(res), exp);
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gpu.destroy();
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}
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test('argumentCasting (GPU only) auto', () => {
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argumentCasting(null);
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});
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test('argumentCasting (GPU only) gpu', () => {
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argumentCasting('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)('argumentCasting (GPU only) webgl', () => {
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argumentCasting('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)('argumentCasting (GPU only) webgl2', () => {
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argumentCasting('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)('argumentCasting (GPU only) headlessgl', () => {
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argumentCasting('headlessgl');
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});
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describe('features: mixed argument casting');
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function mixedArgumentCasting(mode) {
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const gpu = new GPU({
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mode,
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functions: [divide],
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nativeFunctions: {
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// deliberately add, rather than divide, to ensure native functions are treated as more important than regular ones
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divide: `float divide(int a, float b) {
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return float(a + int(b));
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}`
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}
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});
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function divide(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 divide(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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const a = [1, 4, 3, 5, 6, 3];
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const b = [4, 2, 6, 1, 2, 3];
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const res = kernel(a,b);
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const exp = [5, 6, 9, 6, 8, 6];
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assert.deepEqual(Array.from(res), exp);
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gpu.destroy();
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}
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test('mixedArgumentCasting (GPU only) auto', () => {
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mixedArgumentCasting(null);
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});
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test('mixedArgumentCasting (GPU only) gpu', () => {
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mixedArgumentCasting('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)('mixedArgumentCasting (GPU only) webgl', () => {
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mixedArgumentCasting('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)('mixedArgumentCasting (GPU only) webgl2', () => {
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mixedArgumentCasting('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)('mixedArgumentCasting (GPU only) headlessgl', () => {
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mixedArgumentCasting('headlessgl');
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});
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describe('features: return type casting');
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function returnTypeCasting(mode) {
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const gpu = new GPU({
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mode,
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functions: [divide],
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nativeFunctions: {
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// deliberately add, rather than divide, to ensure native functions are treated as more important than regular ones
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divide: `int divide(float a, float b) {
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return int(a + b);
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}`
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}
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});
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function divide(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 divide(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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const a = [1, 4, 3, 5, 6, 3];
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const b = [4, 2, 6, 1, 2, 3];
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const res = kernel(a,b);
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const exp = [5, 6, 9, 6, 8, 6];
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assert.deepEqual(Array.from(res), exp);
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gpu.destroy();
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}
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test('returnTypeCasting (GPU only) auto', () => {
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returnTypeCasting(null);
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});
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test('returnTypeCasting (GPU only) gpu', () => {
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returnTypeCasting('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)('returnTypeCasting (GPU only) webgl', () => {
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returnTypeCasting('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)('returnTypeCasting (GPU only) webgl2', () => {
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returnTypeCasting('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)('returnTypeCasting (GPU only) headlessgl', () => {
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returnTypeCasting('headlessgl');
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});
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