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gpu-ez.js
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gpu-ez.js
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const GpuEz = {};
GpuEz.gpuInit = function gpuInit(GPU) {
GpuEz.GPU = GPU;
GpuEz.gpu = new GPU();
};
GpuEz.returnTypes = {
1: 'Number',
2: 'Array(2)',
3: 'Array(3)',
4: 'Array(4)'
};
GpuEz.returnTypeDims = Object.assign({}, ...Object.entries(GpuEz.returnTypes).map(([k, v]) => ({[v]: +k})));
GpuEz.preKernelFuncs = {
1: function(arr) {return arr[this.thread.x];},
2: function(arr) {return arr[this.thread.y][this.thread.x];},
3: function(arr) {return arr[this.thread.z][this.thread.y][this.thread.x];}
};
GpuEz.preKernels = {get: {1: {}, 2: {}, 3: {}}, put: {1: {}, 2: {}, 3: {}}};
GpuEz.getArgType = function getArgType(vec, dim) {
if (!dim) return vec > 1 ? `Array(${vec})` : 'Float';
return vec > 1 ? `Array${dim}D(${vec})` : 'Array'
}
GpuEz.getPreKernel = function getPreKernel(put, dim, type) {
const pre = GpuEz.preKernels;
const nDim = dim | 0 || 1;
const byType = (put ? pre.put : pre.get)[nDim];
if (!byType) throw new Error(`Invalid number of dimensions: ${dim}`);
const vec = GpuEz.returnTypeDims[type];
if (!vec) throw new Error(`Invalid data type: ${type}`);
const kernel = byType[type];
if (kernel) return kernel;
const func = GpuEz.preKernelFuncs[nDim];
const opts = {
pipeline: !!put, dynamicOutput: true, dynamicArguments: true, tactic: 'precision',
returnType: type, argumentTypes: {arr: GpuEz.getArgType(vec, nDim)}
};
const newKernel = GpuEz.gpu.createKernel(func, opts);
byType[type] = newKernel;
return newKernel;
}
GpuEz.rxGlslDesc = /GLSL\W+(\w+)\s*(?:\[\s*([^\]]+)\s*\])?\s*\(([^\)]*)\)\s*(\{[^\}]*\})\s*\{([^\}]+)\}/;
GpuEz.rxArgItems = /(\w+)(?:\s*\[([^\]]+)\])?(?:\s*\{([^\}]*)\})?/g;
GpuEz.rxArgItem = new RegExp(GpuEz.rxArgItems.source);
GpuEz.argEntsMacroByDim = {
1: {a: 'x', c: '0,0,x'},
2: {a: 'y,x', c: '0,y,x'},
3: {a: 'z,y,x', c: 'z,y,x'}
};
GpuEz.argEntsMacro = function([, name, vec, dim]) {
if (!dim) return '';
if (!(dim in GpuEz.argEntsMacroByDim)) {
throw new Error(`Invalid number of dimensions {${dim}} for arg ${name}`);
}
const {a, c} = GpuEz.argEntsMacroByDim[dim];
const method = `get${ +vec > 1 ? 'Vec'+vec : 'Float'}FromSampler2D`;
const macro = `#define user_${name}(${a}) ` +
`${method}(user_${name}, user_${name}Size, user_${name}Dim, ${c})\n`;
return macro;
};
GpuEz.glslPadByDim = {
1: '0',
2: '[0,0]',
3: '[0,0,0]',
4: '[0,0,0,0]'
};
GpuEz.glsl = function gpuGlsl(content, debug) {
let [, name, vec, args, dim, iters] = content.match(GpuEz.rxGlslDesc) || [];
// Format: // GLSL functionName{vectorSize}(arg1, arg2) {x: dim1, y: dim2, z: dim3} {nLoopIterations}
// * {vectorSize} is optional
// Example: // GLSL matrixMultiply(mat1{2}, mat2{2}, size, mat1h, mat2w) {y: mat1h, x: mat2w} {size}
if (!name) throw new Error(`GLSL descriptor is not found in:\n ${content.substr(0, 80)}...`);
const argEnts = args.match(GpuEz.rxArgItems).map(arg => arg.match(GpuEz.rxArgItem)).filter(x => x);
const argNames = argEnts.map(arg => arg[1]);
const argVecs = argEnts.map(arg => arg[2] | 0);
const argDims = argEnts.map(arg => arg[3] | 0);
const argMacro = argEnts.map(GpuEz.argEntsMacro).join('');
const funcDesc = {name, source: `${argMacro}${content}`};
const argumentTypes = {};
for (let i = 0; i < argEnts.length; i++) {
const vec = argVecs[i];
const nDim = argDims[i];
argumentTypes[argNames[i]] = GpuEz.getArgType(vec, nDim);
}
const kernelSettings = [
Function(
argNames,
`${debug || ''};
let pad = ${GpuEz.glslPadByDim[vec] || GpuEz.glslPadByDim[1]};
pad = ${name}();
return pad;`
),
{
nativeFunctions: [funcDesc],
pipeline: true,
dynamicOutput: true,
dynamicArguments: true,
tactic: 'precision',
returnType: GpuEz.returnTypes[vec] || GpuEz.returnTypes[1],
argumentTypes,
debug: !!debug
}
];
const kernel = GpuEz.gpu.createKernel(...kernelSettings);
const gpuJs = {kernel};
const {arrayOut} = GpuEz;
const invoke = eval(`(function ${name}(...args) {
const temps = [];
for (let i = 0; i < args.length; i++) if (args[i] instanceof Array || args[i] instanceof Float32Array) {
temps.push(args[i] = GpuEz.arrayToTex(args[i],
GpuEz.returnTypes[argVecs[i]] || GpuEz.returnTypes[1]));
}
const [${argNames}] = args;
kernel.loopMaxIterations = parseInt(${iters});
kernel.setOutput(GpuEz.fixDimObj(${dim}));
const res = kernel(...args);
for (const tex of temps) if (tex.delete) tex.delete();
return res;
})`);
Object.assign(invoke, {gpuJs, arrayOut});
return invoke;
};
GpuEz.arrayOut = function(...args) {
const {kernel} = this.gpuJs;
kernel.pipeline = false;
try {
return GpuEz.getArray(this(...args));
} finally {
kernel.pipeline = true;
}
};
/////
GpuEz.fixDimObj = function(dim) {
for (const k in dim) {
dim[k] = parseInt(dim[k]);
}
return dim;
};
GpuEz.texToArray = function texToArray(tex) {
if (!tex.output) return tex;
const kernel = GpuEz.getPreKernel(false, tex.output.length, tex.kernel.returnType);
if (!kernel) return null;
kernel.setOutput(tex.output);
const result = kernel(tex);
return result;
};
GpuEz.getArrayDim = function(arr, vec) {
const dim = [];
let sub = arr;
for (let i = 0; i < 4; i++) {
if (!sub || !sub.length) break;
dim.unshift(sub.length);
sub = sub[0];
}
if (vec) while (--vec) dim.shift();
return dim;
};
GpuEz.arrayToTex = function arrayToTex(arr, type) {
const vecType = GpuEz.returnTypes[type] || type || GpuEz.returnTypes[1];
const vec = GpuEz.returnTypeDims[vecType] || 1;
const dim = GpuEz.getArrayDim(arr, vec);
if (!dim.length) return arr;
const kernel = GpuEz.getPreKernel(true, dim.length, vecType);
if (!kernel) return null;
kernel.setOutput(dim);
const result = kernel(arr);
return result;
};
GpuEz.getDimArray = function getDimArray(arr, dim) {
const nDim = dim | 0;
if (dim <= 0) return arr;
if (dim === 1) return Array.from(arr);
return arr.map(item => GpuEz.getDimArray(item, dim - 1));
}
GpuEz.getDataArray = function getArray(tex) {
const arr = 0 in tex ? tex : GpuEz.texToArray(tex);
const dim = GpuEz.getArrayDim(arr);
const res = GpuEz.getDimArray(arr, dim.length);
return res;
};
GpuEz.loadData = GpuEz.arrayToTex;
GpuEz.putData = GpuEz.arrayToTex;
GpuEz.getData = GpuEz.texToArray;
GpuEz.getArray = GpuEz.getDataArray;
GpuEz.gpuFree = function gpuFree() {
const {gpu} = GpuEz;
for (let i = 0; i < gpu.kernels.length; i++) {
gpu.kernels[i].destroy(true);
}
gpu.kernels[0].kernel.constructor.destroyContext(gpu.context);
};
if (typeof GPU === 'function') GpuEz.gpuInit(GPU);
if (typeof module === 'object' && typeof module.exports === 'object') {
module.exports = GpuEz;
}