mirror of
https://github.com/gpujs/gpu.js.git
synced 2025-12-08 20:35:56 +00:00
fix: Added tests for building kernels with "dev" mode feat: Added a `.toArray()` method on `Input`, for usage with "dev" mode fix: `Input.size` to reflect exactly what was sent in, rather than make up dimensions that aren't there fix: `KernelArgument.dimensions` to fill in missing dimensions from size fix: Only safe declarations when using a literal
337 lines
8.0 KiB
JavaScript
337 lines
8.0 KiB
JavaScript
const { assert, skip, test, module: describe, only } = require('qunit');
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const { GPU, input } = require('../../src');
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describe('input');
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function inputX(mode) {
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const gpu = new GPU({ mode });
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const kernel = gpu.createKernel(function(a) {
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return a[this.thread.x];
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})
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.setOutput([9]);
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const a = new Float32Array(9);
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a.set([1,2,3,4,5,6,7,8,9]);
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const result = kernel(input(a, [3, 3]));
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assert.deepEqual(Array.from(result), [1,2,3,4,5,6,7,8,9]);
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gpu.destroy();
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}
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test("inputX auto", () => {
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inputX();
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});
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test("inputX gpu", () => {
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inputX('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)("inputX webgl", () => {
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inputX('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)("inputX webgl2", () => {
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inputX('webgl2');
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});
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test("inputX cpu", () => {
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inputX('cpu');
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});
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function inputXY(mode) {
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const gpu = new GPU({ mode });
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const kernel = gpu.createKernel(function(a) {
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return a[this.thread.y][this.thread.x];
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})
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.setOutput([9]);
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const a = new Float32Array(9);
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a.set([1,2,3,4,5,6,7,8,9]);
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const b = new Float32Array(9);
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b.set([1,2,3,4,5,6,7,8,9]);
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const result = kernel(input(a, [3, 3]));
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assert.deepEqual(Array.from(result), [1,2,3,4,5,6,7,8,9]);
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gpu.destroy();
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}
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test("inputXY auto", () => {
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inputXY();
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});
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test("inputXY gpu", () => {
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inputXY('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)("inputXY webgl", () => {
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inputXY('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)("inputXY webgl2", () => {
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inputXY('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)("inputXY headlessgl", () => {
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inputXY('headlessgl');
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});
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test("inputXY cpu", () => {
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inputXY('cpu');
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});
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function inputYX(mode) {
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const gpu = new GPU({ mode });
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const kernel = gpu.createKernel(function(a) {
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return a[this.thread.y][this.thread.x];
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})
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.setOutput([3, 3]);
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const a = new Float32Array(9);
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a.set([1,2,3,4,5,6,7,8,9]);
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const result = kernel(input(a, [3, 3]));
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assert.deepEqual(result.map(function(v) { return Array.from(v); }), [[1,2,3],[4,5,6],[7,8,9]]);
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gpu.destroy();
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}
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test("inputYX auto", () => {
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inputYX();
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});
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test("inputYX gpu", () => {
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inputYX('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)("inputYX webgl", () => {
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inputYX('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)("inputYX webgl2", () => {
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inputYX('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)("inputYX headlessgl", () => {
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inputYX('headlessgl');
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});
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test("inputYX cpu", () => {
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inputYX('cpu');
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});
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function inputYXOffset(mode) {
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const gpu = new GPU({ mode });
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const kernel = gpu.createKernel(function(a) {
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return a[this.thread.x][this.thread.y];
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})
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.setOutput([8, 2]);
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const a = new Float32Array(16);
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a.set([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]);
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const result = kernel(input(a, [2, 8]));
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assert.deepEqual(result.map(function(v) { return Array.from(v); }), [[1,3,5,7,9,11,13,15],[2,4,6,8,10,12,14,16]]);
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gpu.destroy();
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}
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test("inputYXOffset auto", () => {
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inputYXOffset();
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});
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test("inputYXOffset gpu", () => {
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inputYXOffset('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)("inputYXOffset webgl", () => {
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inputYXOffset('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)("inputYXOffset webgl2", () => {
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inputYXOffset('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)("inputYXOffset headlessgl", () => {
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inputYXOffset('headlessgl');
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});
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test("inputYXOffset cpu", () => {
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inputYXOffset('cpu');
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});
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function inputYXOffsetPlus1(mode) {
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const gpu = new GPU({ mode });
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const kernel = gpu.createKernel(function(a) {
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return a[this.thread.x][this.thread.y];
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})
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.setOutput([2, 8]);
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const a = new Float32Array([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]);
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const result = kernel(input(a, [8, 2]));
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assert.deepEqual(result.map(function(v) { return Array.from(v); }), [[1,9],[2,10],[3,11],[4,12],[5,13],[6,14],[7,15],[8,16]]);
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gpu.destroy();
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}
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test("inputYXOffsetPlus1 auto", () => {
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inputYXOffsetPlus1();
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});
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test("inputYXOffsetPlus1 gpu", () => {
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inputYXOffsetPlus1('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)("inputYXOffsetPlus1 webgl", () => {
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inputYXOffsetPlus1('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)("inputYXOffsetPlus1 webgl2", () => {
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inputYXOffsetPlus1('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)("inputYXOffsetPlus1 headlessgl", () => {
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inputYXOffsetPlus1('headlessgl');
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});
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test("inputYXOffsetPlus1 cpu", () => {
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inputYXOffsetPlus1('cpu');
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});
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function inputZYX(mode) {
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const gpu = new GPU({ mode });
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const kernel = gpu.createKernel(function(a) {
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return a[this.thread.z][this.thread.y][this.thread.x];
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})
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.setOutput([2, 4, 4]);
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const a = new Float32Array(32);
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a.set([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]);
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const result = kernel(input(a, [2, 4, 4]));
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assert.deepEqual(result.map(function(v) { return v.map(function(v) { return Array.from(v); }); }), [[[1,2],[3,4],[5,6],[7,8]],[[9,10],[11,12],[13,14],[15,16]],[[17,18],[19,20],[21,22],[23,24]],[[25,26],[27,28],[29,30],[31,32]]]);
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gpu.destroy();
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}
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test("inputZYX auto", () => {
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inputZYX();
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});
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test("inputZYX gpu", () => {
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inputZYX('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)("inputZYX webgl", () => {
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inputZYX('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)("inputZYX webgl2", () => {
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inputZYX('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)("inputZYX headlessgl", () => {
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inputZYX('headlessgl');
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});
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test("inputZYX cpu", () => {
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inputZYX('cpu');
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});
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function inputZYXVariables(mode) {
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const gpu = new GPU({ mode });
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const kernel = gpu.createKernel(function(a, x, y, z) {
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return a[z][y][x];
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})
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.setOutput([1]);
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const a = new Float32Array(32);
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a.set([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]);
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const aInput = input(a, [2, 4, 4]);
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assert.deepEqual(Array.from(kernel(aInput, 1, 2, 3)), [30]);
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assert.deepEqual(Array.from(kernel(aInput, 0, 2, 3)), [29]);
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assert.deepEqual(Array.from(kernel(aInput, 0, 2, 1)), [13]);
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assert.deepEqual(Array.from(kernel(aInput, 1, 2, 2)), [22]);
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assert.deepEqual(Array.from(kernel(aInput, 0, 2, 2)), [21]);
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gpu.destroy();
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}
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test("inputZYXVariables auto", () => {
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inputZYXVariables();
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});
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test("inputZYXVariables gpu", () => {
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inputZYXVariables('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)("inputZYXVariables webgl", () => {
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inputZYXVariables('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)("inputZYXVariables webgl2", () => {
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inputZYXVariables('webgl2');
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});
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(GPU.isHeadlessGLSupported ? test : skip)("inputZYXVariables headlessgl", () => {
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inputZYXVariables('headlessgl');
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});
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test("inputZYXVariables cpu", () => {
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inputZYXVariables('cpu');
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});
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function inputInt32ArrayX(mode) {
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const gpu = new GPU({ mode });
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const kernel = gpu.createKernel(function(a) {
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return a[this.thread.x];
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})
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.setPrecision('unsigned')
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.setOutput([9]);
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const a = new Int32Array([1,2,3,4,5,6,7,8,9]);
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const result = kernel(input(a, [3, 3]));
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assert.deepEqual(result, new Float32Array([1,2,3,4,5,6,7,8,9]));
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gpu.destroy();
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}
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test("inputInt32ArrayX auto", () => {
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inputInt32ArrayX();
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});
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test("inputInt32ArrayX gpu", () => {
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inputInt32ArrayX('gpu');
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});
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(GPU.isWebGLSupported ? test : skip)("inputInt32ArrayX webgl", () => {
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inputInt32ArrayX('webgl');
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});
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(GPU.isWebGL2Supported ? test : skip)("inputInt32ArrayX webgl2", () => {
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inputInt32ArrayX('webgl2');
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});
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test("inputInt32ArrayX cpu", () => {
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inputInt32ArrayX('cpu');
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});
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test('.toArray() with array', () => {
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assert.deepEqual(input([1,2,3,4], [4]).toArray(), [1,2,3,4]);
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});
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test('.toArray() with matrix', () => {
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assert.deepEqual(input([1,2,3,4,5,6,7,8], [4,2]).toArray(), [new Float32Array([1,2,3,4]), new Float32Array([5,6,7,8])]);
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});
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test('.toArray() with grid', () => {
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assert.deepEqual(
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input([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16], [4,2,2]).toArray(),
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[
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[
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new Float32Array([1,2,3,4]),
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new Float32Array([5,6,7,8]),
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],
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[
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new Float32Array([9,10,11,12]),
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new Float32Array([13,14,15,16])
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]
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]
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);
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});
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