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gpuweb

v0.0.4

Published

A simplified WebGPU library for easier usage

Downloads

23

Readme

# WebGPU 简化库

一个简化 WebGPU API 使用的库,让开发者更容易上手和使用 WebGPU。

## 特性

- 简化 Adapter 和 Device 的初始化流程
- 封装常用的 GPU 资源创建方法
- 提供 Buffer 管理工具
- 易于集成到现有项目中

## 安装

```bash
npm install gpuweb

快速开始

import { initWebGPU, isWebGPUSupported } from 'gpuweb';

// 检查浏览器是否支持 WebGPU
if (!isWebGPUSupported()) {
  console.error('WebGPU is not supported in this browser');
}

// 初始化 WebGPU
const canvas = document.getElementById('webgpu-canvas') as HTMLCanvasElement;
const { adapter, device, context, format } = await initWebGPU(canvas);

// 现在你可以使用 WebGPU API 进行渲染

核心类

WebGPUAdapter

用于请求 GPU 适配器和设备。

const adapterInstance = new WebGPUAdapter();
await adapterInstance.requestAdapter();
const device = await adapterInstance.requestDevice();

WebGPUDevice

封装了 GPUDevice,提供更便捷的资源创建方法。

const webgpuDevice = new WebGPUDevice(device);

// 创建各种 GPU 资源
const buffer = webgpuDevice.createBuffer(descriptor);
const shader = webgpuDevice.createShaderModule(descriptor);
const pipeline = webgpuDevice.createRenderPipeline(descriptor);

BufferManager

简化缓冲区的创建和数据传输。

const bufferManager = new BufferManager(webgpuDevice);

// 创建缓冲区
const buffer = bufferManager.createBuffer(size, usage);

// 写入数据到缓冲区
await bufferManager.writeBuffer(buffer, data);

// 从缓冲区读取数据
const data = await bufferManager.readBuffer(buffer, size);

构建

npm run build

开发

npm run dev

许可证

MIT