const { assert, skip, test, module: describe, only } = require('qunit'); const { GPU } = require('../../../../../../src'); describe('feature: to-string single precision arguments Array2D(2)'); function testArgument(mode, context, canvas) { const gpu = new GPU({ mode }); const originalKernel = gpu.createKernel(function(a) { const array2 = a[this.thread.y][this.thread.x]; return [array2[0] + 1, array2[1] + 1]; }, { canvas, context, output: [2,2], precision: 'single', argumentTypes: { a: 'Array2D(2)' } }); const a = [ [ [1, 2], [3, 4], ], [ [5, 6], [7, 8], ] ]; const expected = [ [ new Float32Array([2, 3]), new Float32Array([4, 5]), ], [ new Float32Array([6, 7]), new Float32Array([8, 9]), ] ]; const originalResult = originalKernel(a); assert.deepEqual(originalResult, expected); const kernelString = originalKernel.toString(a); const newKernel = new Function('return ' + kernelString)()({ context }) const newResult = newKernel(a); assert.deepEqual(newResult, expected); const b = [ [ [1, 1], [1, 1], ], [ [1, 1], [1, 1], ] ]; const expected2 = [ [ new Float32Array([2, 2]), new Float32Array([2, 2]), ], [ new Float32Array([2, 2]), new Float32Array([2, 2]), ] ]; const newResult2 = newKernel(b); assert.deepEqual(newResult2, expected2); gpu.destroy(); } (GPU.isSinglePrecisionSupported && GPU.isWebGLSupported ? test : skip)('webgl', () => { const canvas = document.createElement('canvas'); const context = canvas.getContext('webgl'); testArgument('webgl', context, canvas); }); (GPU.isSinglePrecisionSupported && GPU.isWebGL2Supported ? test : skip)('webgl2', () => { const canvas = document.createElement('canvas'); const context = canvas.getContext('webgl2'); testArgument('webgl2', context, canvas); }); (GPU.isSinglePrecisionSupported && GPU.isHeadlessGLSupported ? test : skip)('headlessgl', () => { testArgument('headlessgl', require('gl')(1, 1), null); }); test('cpu', () => { testArgument('cpu'); });