gpu.js/test/features/input.js

254 lines
6.4 KiB
JavaScript

(function() {
function inputX(mode) {
const gpu = new GPU({ mode: mode });
const input = GPU.input;
const kernel = gpu.createKernel(function(a) {
return a[this.thread.x];
})
.setOutput([9]);
const a = new Float32Array(9);
a.set([1,2,3,4,5,6,7,8,9]);
const result = kernel(input(a, [3, 3]));
QUnit.assert.deepEqual(QUnit.extend([], result), [1,2,3,4,5,6,7,8,9]);
}
QUnit.test( "inputX (auto)", function() {
inputX();
});
QUnit.test( "inputX (gpu)", function() {
inputX('gpu');
});
QUnit.test( "inputX (webgl)", function() {
inputX('webgl');
});
QUnit.test( "inputX (webgl2)", function() {
inputX('webgl2');
});
QUnit.test( "inputX (cpu)", function() {
inputX('cpu');
});
function inputXY(mode) {
const gpu = new GPU({ mode: mode });
const input = GPU.input;
const kernel = gpu.createKernel(function(a) {
return a[this.thread.y][this.thread.x];
})
.setOutput([9]);
const a = new Float32Array(9);
a.set([1,2,3,4,5,6,7,8,9]);
const b = new Float32Array(9);
b.set([1,2,3,4,5,6,7,8,9]);
const result = kernel(input(a, [3, 3]));
QUnit.assert.deepEqual(QUnit.extend([], result), [1,2,3,4,5,6,7,8,9]);
}
QUnit.test( "inputXY (auto)", function() {
inputXY();
});
QUnit.test( "inputXY (gpu)", function() {
inputXY('gpu');
});
QUnit.test( "inputXY (webgl)", function() {
inputXY('webgl');
});
QUnit.test( "inputXY (webgl2)", function() {
inputXY('webgl2');
});
QUnit.test( "inputXY (cpu)", function() {
inputXY('cpu');
});
function inputYX(mode) {
const gpu = new GPU({ mode: mode });
const input = GPU.input;
const kernel = gpu.createKernel(function(a) {
return a[this.thread.y][this.thread.x];
})
.setOutput([3, 3]);
const a = new Float32Array(9);
a.set([1,2,3,4,5,6,7,8,9]);
const result = kernel(input(a, [3, 3]));
QUnit.assert.deepEqual(QUnit.extend([], result), [[1,2,3],[4,5,6],[7,8,9]]);
}
QUnit.test( "inputYX (auto)", function() {
inputYX();
});
QUnit.test( "inputYX (gpu)", function() {
inputYX('gpu');
});
QUnit.test( "inputYX (webgl)", function() {
inputYX('webgl');
});
QUnit.test( "inputYX (webgl2)", function() {
inputYX('webgl2');
});
QUnit.test( "inputYX (cpu)", function() {
inputYX('cpu');
});
function inputYXOffset(mode) {
const gpu = new GPU({ mode: mode });
const input = GPU.input;
const kernel = gpu.createKernel(function(a) {
return a[this.thread.x][this.thread.y];
})
.setOutput([8, 2]);
const a = new Float32Array(16);
a.set([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]);
const result = kernel(input(a, [2, 8]));
QUnit.assert.deepEqual(QUnit.extend([], result), [[1,3,5,7,9,11,13,15],[2,4,6,8,10,12,14,16]]);
}
QUnit.test( "inputYXOffset (auto)", function() {
inputYXOffset();
});
QUnit.test( "inputYXOffset (gpu)", function() {
inputYXOffset('gpu');
});
QUnit.test( "inputYXOffset (webgl)", function() {
inputYXOffset('webgl');
});
QUnit.test( "inputYXOffset (webgl2)", function() {
inputYXOffset('webgl2');
});
QUnit.test( "inputYXOffset (cpu)", function() {
inputYXOffset('cpu');
});
function inputYXOffsetPlus1(mode) {
const gpu = new GPU({ mode: mode });
const input = GPU.input;
const kernel = gpu.createKernel(function(a) {
return a[this.thread.x][this.thread.y];
})
.setOutput([2, 8]);
const a = new Float32Array(16);
a.set([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]);
const result = kernel(input(a, [8, 2]));
QUnit.assert.deepEqual(QUnit.extend([], result), [[1,9],[2,10],[3,11],[4,12],[5,13],[6,14],[7,15],[8,16]]);
}
QUnit.test( "inputYXOffsetPlus1 (auto)", function() {
inputYXOffsetPlus1();
});
QUnit.test( "inputYXOffsetPlus1 (gpu)", function() {
inputYXOffsetPlus1('gpu');
});
QUnit.test( "inputYXOffsetPlus1 (webgl)", function() {
inputYXOffsetPlus1('webgl');
});
QUnit.test( "inputYXOffsetPlus1 (webgl2)", function() {
inputYXOffsetPlus1('webgl2');
});
QUnit.test( "inputYXOffsetPlus1 (cpu)", function() {
inputYXOffsetPlus1('cpu');
});
function inputZYX(mode) {
const gpu = new GPU({ mode: mode });
const input = GPU.input;
const kernel = gpu.createKernel(function(a) {
return a[this.thread.z][this.thread.y][this.thread.x];
})
.setOutput([2, 4, 4]);
const a = new Float32Array(64);
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]);
const result = kernel(input(a, [2, 4, 4]));
QUnit.assert.deepEqual(QUnit.extend([], result), [[[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]]]);
}
QUnit.test( "inputZYX (auto)", function() {
inputZYX();
});
QUnit.test( "inputZYX (gpu)", function() {
inputZYX('gpu');
});
QUnit.test( "inputZYX (webgl)", function() {
inputZYX('webgl');
});
QUnit.test( "inputZYX (webgl2)", function() {
inputZYX('webgl2');
});
QUnit.test( "inputZYX (cpu)", function() {
inputZYX('cpu');
});
function inputZYXVariables(mode) {
const gpu = new GPU({ mode: mode });
const input = GPU.input;
const kernel = gpu.createKernel(function(a, x, y, z) {
return a[z][y][x];
})
.setDebug(true)
.setOutput([1]);
const a = new Float32Array(64);
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]);
const aInput = input(a, [2, 4, 4]);
QUnit.assert.deepEqual(QUnit.extend([], kernel(aInput, 1, 2, 3)), [30]);
QUnit.assert.deepEqual(QUnit.extend([], kernel(aInput, 0, 2, 3)), [29]);
QUnit.assert.deepEqual(QUnit.extend([], kernel(aInput, 0, 2, 1)), [13]);
QUnit.assert.deepEqual(QUnit.extend([], kernel(aInput, 1, 2, 2)), [22]);
QUnit.assert.deepEqual(QUnit.extend([], kernel(aInput, 0, 2, 2)), [21]);
}
QUnit.test( "inputZYXVariables (auto)", function() {
inputZYXVariables();
});
QUnit.test( "inputZYXVariables (gpu)", function() {
inputZYXVariables('gpu');
});
QUnit.test( "inputZYXVariables (webgl)", function() {
inputZYXVariables('webgl');
});
QUnit.test( "inputZYXVariables (webgl2)", function() {
inputZYXVariables('webgl2');
});
QUnit.test( "inputZYXVariables (cpu)", function() {
inputZYXVariables('cpu');
});
})();