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output.js
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396 lines (354 loc) · 8.03 KB
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const { assert, test, module: describe, only, skip } = require('qunit');
const { GPU } = require('../../src');
describe('features: output');
function outputArray(mode) {
const gpu = new GPU({ mode });
const input = [1,2,3,4,5];
const kernel = gpu.createKernel(function(input) {
return input[this.thread.x];
}, { output: [5] });
const result = kernel(input);
assert.deepEqual(Array.from(result), input);
gpu.destroy();
}
test('output array auto', () => {
outputArray();
});
test('output array gpu', () => {
outputArray('gpu');
});
(GPU.isWebGLSupported ? test : skip)('output array webgl', () => {
outputArray('webgl');
});
(GPU.isWebGL2Supported ? test : skip)('output array webgl2', () => {
outputArray('webgl2');
});
(GPU.isHeadlessGLSupported ? test : skip)('output array headlessgl', () => {
outputArray('headlessgl');
});
test('output array cpu', () => {
outputArray('cpu');
});
function outputMatrix(mode) {
const gpu = new GPU({ mode });
const input = [
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
];
const kernel = gpu.createKernel(function(input) {
return input[this.thread.y][this.thread.x];
}, { output: [5, 5] });
const result = kernel(input);
assert.deepEqual(result.map(array => Array.from(array)), input);
gpu.destroy();
}
test('output matrix auto', () => {
outputMatrix();
});
test('output matrix gpu', () => {
outputMatrix('gpu');
});
(GPU.isWebGLSupported ? test : skip)('output matrix webgl', () => {
outputMatrix('webgl');
});
(GPU.isWebGL2Supported ? test : skip)('output matrix webgl2', () => {
outputMatrix('webgl2');
});
(GPU.isHeadlessGLSupported ? test : skip)('output matrix headlessgl', () => {
outputMatrix('headlessgl');
});
test('output matrix cpu', () => {
outputMatrix('cpu');
});
function outputCube(mode) {
const gpu = new GPU({ mode });
const input = [
[
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
],
[
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
],
[
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
],
[
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
],
[
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
[1,2,3,4,5],
]
];
const kernel = gpu.createKernel(function(input) {
return input[this.thread.z][this.thread.y][this.thread.x];
}, { output: [5, 5, 5] });
const result = kernel(input);
assert.deepEqual(result.map(matrix => matrix.map(array => Array.from(array))), input);
gpu.destroy();
}
test('output cube auto', () => {
outputCube();
});
test('output cube gpu', () => {
outputCube('gpu');
});
(GPU.isWebGLSupported ? test : skip)('output cube webgl', () => {
outputCube('webgl');
});
(GPU.isWebGL2Supported ? test : skip)('output cube webgl2', () => {
outputCube('webgl2');
});
(GPU.isHeadlessGLSupported ? test : skip)('output cube headlessgl', () => {
outputCube('headlessgl');
});
test('output cube cpu', () => {
outputCube('cpu');
});
function outputGraphicalArray(mode) {
const gpu = new GPU({ mode });
const mockContext = {
getExtension: () => {}
};
const mockCanvas = {
getContext: () => mockContext,
};
assert.throws(() => {
const kernel = gpu.createKernel(function(input) {
return input[this.thread.x];
}, {
canvas: mockCanvas,
output: [5],
graphical: true
});
kernel([1]);
}, new Error('Output must have 2 dimensions on graphical mode'));
gpu.destroy();
}
test('graphical output array auto', () => {
outputGraphicalArray();
});
test('graphical output array gpu', () => {
outputGraphicalArray('gpu');
});
(GPU.isWebGLSupported ? test : skip)('graphical output array webgl', () => {
outputGraphicalArray('webgl');
});
(GPU.isWebGL2Supported ? test : skip)('graphical output array webgl2', () => {
outputGraphicalArray('webgl2');
});
(GPU.isHeadlessGLSupported ? test : skip)('graphical output array headlessgl', () => {
outputGraphicalArray('headlessgl');
});
test('graphical output array cpu', () => {
outputGraphicalArray('cpu');
});
function outputGraphicalMatrix(mode, canvas, context) {
const gpu = new GPU({ mode });
const input = [
[0.25,.50],
[.75,1],
];
const kernel = gpu.createKernel(function(input) {
const color = input[this.thread.y][this.thread.x];
this.color(color, color, color, color);
}, {
context,
canvas,
output: [2, 2],
graphical: true
});
const result = kernel(input);
assert.equal(result, undefined);
const pixels = Array.from(kernel.getPixels());
gpu.destroy();
return pixels;
}
(GPU.isWebGLSupported ? test : skip)('graphical output matrix webgl', () => {
const canvas = document.createElement('canvas');
const context = canvas.getContext('webgl', { premultipliedAlpha: false });
const pixels = outputGraphicalMatrix('webgl', canvas, context);
assert.deepEqual(pixels, [
191,
191,
191,
191,
255,
255,
255,
255,
64,
64,
64,
64,
128,
128,
128,
128
]);
});
(GPU.isWebGL2Supported ? test : skip)('graphical output matrix webgl2', () => {
const canvas = document.createElement('canvas');
const context = canvas.getContext('webgl2', { premultipliedAlpha: false });
const pixels = outputGraphicalMatrix('webgl2', canvas, context);
assert.deepEqual(pixels, [
191,
191,
191,
191,
255,
255,
255,
255,
64,
64,
64,
64,
128,
128,
128,
128
]);
});
(GPU.isHeadlessGLSupported ? test : skip)('graphical output matrix headlessgl', () => {
const pixels = outputGraphicalMatrix('headlessgl');
assert.deepEqual(pixels, [
191,
191,
191,
191,
255,
255,
255,
255,
64,
64,
64,
64,
128,
128,
128,
128
]);
});
(GPU.isCanvasSupported ? test : skip)('graphical output matrix cpu with real canvas', () => {
const pixels = outputGraphicalMatrix('cpu');
assert.deepEqual(pixels, [
191,
191,
191,
191,
255,
255,
255,
255,
63,
63,
63,
63,
127,
127,
127,
127
]);
});
test('graphical output matrix cpu with mocked canvas', () => {
// allow tests on node or browser
let outputImageData = null;
const mockContext = {
createImageData: () => {
return { data: new Uint8ClampedArray(2 * 2 * 4) };
},
putImageData: (_outputImageData) => {
outputImageData = _outputImageData;
},
getImageData: () => {
return outputImageData;
},
getExtension: () => {
return null;
}
};
const mockCanvas = {
getContext: () => mockContext,
};
const pixels = outputGraphicalMatrix('cpu', mockCanvas, mockContext);
assert.deepEqual(pixels, [
191,
191,
191,
191,
255,
255,
255,
255,
63,
63,
63,
63,
127,
127,
127,
127
]);
});
function outputGraphicalCube(mode) {
const gpu = new GPU({ mode });
const mockContext = {
getExtension: () => {}
};
const mockCanvas = {
getContext: () => mockContext
};
assert.throws(() => {
const kernel = gpu.createKernel(function(input) {
return input[this.thread.x];
}, {
canvas: mockCanvas,
output: [5,5,5],
graphical: true
});
kernel([1]);
}, new Error('Output must have 2 dimensions on graphical mode'));
gpu.destroy();
}
test('graphical output array auto', () => {
outputGraphicalCube();
});
test('graphical output array gpu', () => {
outputGraphicalCube('gpu');
});
(GPU.isWebGLSupported ? test : skip)('graphical output array webgl', () => {
outputGraphicalCube('webgl');
});
(GPU.isWebGL2Supported ? test : skip)('graphical output array webgl2', () => {
outputGraphicalCube('webgl2');
});
(GPU.isHeadlessGLSupported ? test : skip)('graphical output array headlessgl', () => {
outputGraphicalCube('headlessgl');
});
test('graphical output array cpu', () => {
outputGraphicalCube('cpu');
});