Merge pull request #551 from gpujs/550-expose-typings

feat: Provide overloading methods with types

README.md

@@ -77,6 +77,7 @@ const c = multiplyMatrix(a, b) as number[][];
 
 NOTE: documentation is slightly out of date for the upcoming release of v2. We will fix it! In the mean time, if you'd like to assist (PLEASE) let us know.
 
+* [Demos](#demos)
 * [Installation](#installation)
 * [`GPU` Settings](#gpu-settings)
 * [`gpu.createKernel` Settings](#gpucreatekernel-settings)
@@ -112,6 +113,31 @@ NOTE: documentation is slightly out of date for the upcoming release of v2. We
 * [Terms Explained](#terms-explained)
 * [License](#license)
 
+## Demos
+GPU.js in the wild, all around the net. Add yours here!
+* [Temperature interpolation using GPU.js](https://observablehq.com/@rveciana/temperature-interpolation-using-gpu-js)
+* [Julia Set Fractal using GPU.js](https://observablehq.com/@ukabuer/julia-set-fractal-using-gpu-js)
+* [Hello, gpu.js v2](https://observablehq.com/@fil/hello-gpu-js-v2)
+* [Basic gpu.js canvas example](https://observablehq.com/@rveciana/basic-gpu-js-canvas-example)
+* [Raster projection with GPU.js](https://observablehq.com/@fil/raster-projection-with-gpu-js)
+* [GPU.js Example: Slow Fade](https://observablehq.com/@robertleeplummerjr/gpu-js-example-slow-fade)
+* [GPU.JS CA Proof of Concept](https://observablehq.com/@alexlamb/gpu-js-ca-proof-of-concept)
+* [Image Convolution using GPU.js](https://observablehq.com/@ukabuer/image-convolution-using-gpu-js)
+* [Leaflet + gpu.js canvas](https://observablehq.com/@rveciana/leaflet-gpu-js-canvas)
+* [Image to GPU.js](https://observablehq.com/@fil/image-to-gpu)
+* [GPU Accelerated Heatmap using gpu.js](https://observablehq.com/@tracyhenry/gpu-accelerated-heatmap-using-gpu-js)
+* [Dijkstra’s algorithm in gpu.js](https://observablehq.com/@fil/dijkstras-algorithm-in-gpu-js)
+* [Voronoi with gpu.js](https://observablehq.com/@fil/voronoi-with-gpu-js)
+* [The gpu.js loop](https://observablehq.com/@fil/the-gpu-js-loop)
+* [GPU.js Example: Mandelbrot Set](https://observablehq.com/@robertleeplummerjr/gpu-js-example-mandelbrot-set)
+* [GPU.js Example: Mandelbulb](https://observablehq.com/@robertleeplummerjr/gpu-js-example-mandelbulb)
+* [Inverse of the distance with gpu.js](https://observablehq.com/@rveciana/inverse-of-the-distance-with-gpu-js)
+* [gpu.js laser detection v2](https://observablehq.com/@robertleeplummerjr/gpu-js-laser-detection-v2)
+* [GPU.js Canvas](https://observablehq.com/@hubgit/gpu-js-canvas)
+* [Video Convolution using GPU.js](https://observablehq.com/@robertleeplummerjr/video-convolution-using-gpu-js)
+* [GPU Rock Paper Scissors](https://observablehq.com/@alexlamb/gpu-rock-paper-scissors)
+* [Shaded relief with gpujs and d3js](https://observablehq.com/@rveciana/shaded-relief-with-gpujs-and-d3js/2)
+
 ## Installation
 On Linux, ensure you have the correct header files installed: `sudo apt install mesa-common-dev libxi-dev` (adjust for your distribution)
 
@@ -957,6 +983,75 @@ To assist with mostly unit tests, but perhaps in scenarios outside of GPU.js, th
 
 ## Typescript Typings
 Typescript is supported! Typings can be found [here](src/index.d.ts)!
+For strongly typed kernels:
+```ts
+import { GPU, IKernelFunctionThis } from './src';
+const gpu = new GPU();
+
+function kernelFunction(this: IKernelFunctionThis): number {
+ return 1 + this.thread.x;
+}
+
+const kernelMap = gpu.createKernel<typeof kernelFunction>(kernelFunction)
+ .setOutput([3,3,3]);
+
+const result = kernelMap();
+
+console.log(result as number[][][]);
+```
+
+For strongly typed mapped kernels:
+```ts
+import { GPU, Texture, IKernelFunctionThis } from './src';
+const gpu = new GPU();
+
+function kernelFunction(this: IKernelFunctionThis): [number, number] {
+ return [1, 1];
+}
+
+function subKernel(): [number, number] {
+ return [1, 1];
+}
+
+const kernelMap = gpu.createKernelMap<typeof kernelFunction>({
+ test: subKernel,
+}, kernelFunction)
+ .setOutput([1])
+ .setPipeline(true);
+
+const result = kernelMap();
+
+console.log((result.test as Texture).toArray() as [number, number][]);
+```
+
+For extending constants:
+```ts
+import { GPU, IKernelFunctionThis } from './src';
+const gpu = new GPU();
+
+interface IConstants {
+ screen: [number, number];
+}
+
+type This = {
+ constants: IConstants
+} & IKernelFunctionThis;
+
+function kernelFunction(this: This): number {
+ const { screen } = this.constants;
+ return 1 + screen[0];
+}
+
+const kernelMap = gpu.createKernel<typeof kernelFunction>(kernelFunction)
+ .setOutput([3,3,3])
+ .setConstants<IConstants>({
+ screen: [1, 1]
+ });
+
+const result = kernelMap();
+
+console.log(result as number[][][]);
+```
 
 ## Destructured Assignments **New in V2!**
 Destructured Objects and Arrays work in GPU.js.

dist/gpu-browser-core.js

@@ -4,8 +4,8 @@
  *
  * GPU Accelerated JavaScript
  *
- * @version 2.3.0
- * @date Tue Nov 26 2019 09:51:10 GMT-0500 (Eastern Standard Time)
+ * @version 2.3.1
+ * @date Tue Dec 17 2019 09:39:34 GMT-0500 (Eastern Standard Time)
  *
  * @license MIT
  * The MIT License
@@ -13389,7 +13389,7 @@ const utils = {
 
  getVariableType(value, strictIntegers) {
  if (utils.isArray(value)) {
- if (value[0].nodeName === 'IMG') {
+ if (value.length > 0 && value[0].nodeName === 'IMG') {
  return 'HTMLImageArray';
  }
  return 'Array';

dist/gpu-browser.js

@@ -4,8 +4,8 @@
  *
  * GPU Accelerated JavaScript
  *
- * @version 2.3.0
- * @date Tue Nov 26 2019 09:51:10 GMT-0500 (Eastern Standard Time)
+ * @version 2.3.1
+ * @date Tue Dec 17 2019 09:39:34 GMT-0500 (Eastern Standard Time)
  *
  * @license MIT
  * The MIT License
@@ -17823,7 +17823,7 @@ const utils = {
 
  getVariableType(value, strictIntegers) {
  if (utils.isArray(value)) {
- if (value[0].nodeName === 'IMG') {
+ if (value.length > 0 && value[0].nodeName === 'IMG') {
  return 'HTMLImageArray';
  }
  return 'Array';

package.json

@@ -1,6 +1,6 @@
 {
  "name": "gpu.js",
- "version": "2.3.0",
+ "version": "2.3.1",
  "description": "GPU Accelerated JavaScript",
  "engines": {
  "node": ">=8.0.0"