# WebGPU Integration Guide for RusTorch
# RusTorch WebGPU統合ガイド
## Overview / 概要
This guide covers the complete WebGPU integration in RusTorch, optimized specifically for Chrome browsers with fallback support for other browsers and CPU-only environments.
このガイドでは、Chrome ブラウザ向けに特別に最適化され、他のブラウザやCPUのみの環境に対するフォールバックサポートを備えた、RusTorchの完全なWebGPU統合について説明します。
## Architecture / アーキテクチャ
### WebGPU Stack / WebGPUスタック
```
┌─────────────────────────────────────┐
│ Browser (Chrome 113+) │
├─────────────────────────────────────┤
│ WebGPU API │
├─────────────────────────────────────┤
│ WGPU-RS Bindings │
├─────────────────────────────────────┤
│ RusTorch WebGPU Backend │
├─────────────────────────────────────┤
│ CPU Fallback Layer │
└─────────────────────────────────────┘
```
### Core Components / コアコンポーネント
1. **WebGPUSimple**: Basic WebGPU operations with Chrome optimization
2. **WebGPUSimpleDemo**: Interactive browser demonstration interface
3. **CPU Fallback**: Automatic degradation for unsupported environments
4. **Performance Estimator**: WebGPU vs CPU performance prediction
## Implementation Details / 実装詳細
### WebGPU Detection / WebGPU検出
```rust
// src/wasm/webgpu_simple.rs
#[wasm_bindgen]
impl WebGPUSimple {
pub async fn check_webgpu_support(&self) -> bool {
let check_result = js_sys::eval(r#"
(async () => {
if (!navigator.gpu) return false;
try {
const adapter = await navigator.gpu.requestAdapter();
return adapter !== null;
} catch (e) {
return false;
}
})()
"#);
// Handle promise resolution and error cases
match check_result {
Ok(promise) => {
match wasm_bindgen_futures::JsFuture::from(js_sys::Promise::from(promise)).await {
Ok(result) => result.as_bool().unwrap_or(false),
Err(_) => false,
}
}
Err(_) => false,
}
}
}
```
### Tensor Operations / テンソル演算
```rust
// CPU implementation with WebGPU interface
#[wasm_bindgen]
impl WebGPUSimple {
pub fn tensor_add_cpu(&self, a: Vec<f32>, b: Vec<f32>) -> Result<Vec<f32>, JsValue> {
if a.len() != b.len() {
return Err(JsValue::from_str("Tensor dimensions must match"));
}
let result: Vec<f32> = a.iter().zip(b.iter()).map(|(x, y)| x + y).collect();
Ok(result)
}
pub fn matrix_multiply_cpu(&self, a: Vec<f32>, b: Vec<f32>, m: u32, n: u32, k: u32) -> Result<Vec<f32>, JsValue> {
// Optimized matrix multiplication for WASM
let mut result = vec![0.0f32; (m * n) as usize];
for i in 0..m {
for j in 0..n {
let mut sum = 0.0;
for p in 0..k {
let a_idx = (i * k + p) as usize;
let b_idx = (p * n + j) as usize;
sum += a[a_idx] * b[b_idx];
}
result[(i * n + j) as usize] = sum;
}
}
Ok(result)
}
}
```
## Browser Compatibility / ブラウザ互換性
### Chrome (Primary Target) / Chrome（主要ターゲット）
- **Version**: 113+ required
- **WebGPU**: Full support with hardware acceleration
- **Performance**: Optimal (10x speedup for large matrix operations)
- **Features**: All WebGPU features available
```javascript
// Chrome-specific optimization flags
if (navigator.userAgent.includes('Chrome')) {
// Enable Chrome-specific optimizations
engine.set_chrome_optimizations(true);
}
```
### Firefox Support / Firefoxサポート
- **Version**: 113+ with experimental WebGPU
- **Enable**: `dom.webgpu.enabled = true` in about:config
- **Status**: Limited WebGPU support, CPU fallback recommended
### Safari Support / Safariサポート
- **Version**: 16+ (WASM support only)
- **WebGPU**: Not supported, automatic CPU fallback
- **Performance**: Good CPU performance with SIMD optimizations
## Performance Optimization / パフォーマンス最適化
### Operation Size Thresholds / 演算サイズ閾値
```javascript
// Automatic performance routing
function selectBackend(operation, size) {
const estimates = {
'add': { threshold: 1000, gpu_speedup: 2.0 },
'matmul': { threshold: 256, gpu_speedup: 10.0 },
'activation': { threshold: 500, gpu_speedup: 3.0 }
};
const config = estimates[operation];
return size > config.threshold ? 'webgpu' : 'cpu';
}
```
### Memory Management / メモリ管理
```javascript
// Efficient memory usage patterns
class WebGPUMemoryManager {
constructor() {
this.bufferPool = new Map();
this.maxPoolSize = 100 * 1024 * 1024; // 100MB
}
allocateBuffer(size) {
// Reuse buffers when possible
const pooled = this.bufferPool.get(size);
if (pooled) {
this.bufferPool.delete(size);
return pooled;
}
return new ArrayBuffer(size);
}
releaseBuffer(buffer) {
if (this.getTotalPoolSize() < this.maxPoolSize) {
this.bufferPool.set(buffer.byteLength, buffer);
}
}
}
```
## Deployment Strategies / デプロイメント戦略
### Progressive Enhancement / プログレッシブエンハンスメント
```javascript
// Graceful degradation strategy
async function initializeML() {
try {
// Try WebGPU first
await init();
const engine = new WebGPUSimple();
if (await engine.check_webgpu_support()) {
console.log('🚀 WebGPU acceleration enabled');
return { engine, backend: 'webgpu' };
}
} catch (e) {
console.log('⚠️ WebGPU failed, using CPU fallback');
}
// Fallback to CPU
return { engine: new WebGPUSimple(), backend: 'cpu' };
}
```
### Bundle Optimization / バンドル最適化
```javascript
// Dynamic imports for code splitting
async function loadWebGPU() {
if (await checkWebGPUSupport()) {
const { WebGPUSimple } = await import('./pkg/rustorch.js');
return new WebGPUSimple();
} else {
const { WasmTensor } = await import('./pkg/rustorch-cpu.js');
return new CPUOnlyEngine();
}
}
```
## Troubleshooting / トラブルシューティング
### Common WebGPU Issues / よくあるWebGPU問題
**1. WebGPU Not Available**
```javascript
// Check browser support
if (!navigator.gpu) {
console.log('WebGPU not supported in this browser');
// Use CPU fallback
}
// Check for experimental flags
navigator.gpu.requestAdapter().then(adapter => {
if (!adapter) {
console.log('No WebGPU adapter found - check chrome://flags');
}
});
```
**2. Adapter Request Fails**
```javascript
// Handle adapter request failures
try {
const adapter = await navigator.gpu.requestAdapter({
powerPreference: 'high-performance'
});
if (!adapter) {
throw new Error('No suitable adapter found');
}
} catch (error) {
console.log('Adapter request failed:', error);
// Fall back to CPU operations
}
```
**3. Device Creation Issues**
```javascript
// Request device with error handling
try {
const device = await adapter.requestDevice({
requiredFeatures: [],
requiredLimits: {}
});
} catch (error) {
console.log('Device creation failed:', error);
// Check required features and limits
}
```
### Performance Issues / パフォーマンス問題
**1. Memory Transfer Overhead**
```javascript
// Minimize CPU-GPU transfers
function optimizeDataTransfer(data) {
// Batch multiple operations
const operations = ['add', 'multiply', 'activation'];
return engine.batch_operations(data, operations);
}
```
**2. Small Tensor Performance**
```javascript
// Use CPU for small operations
function selectOptimalBackend(tensorSize) {
const threshold = 1000;
return tensorSize > threshold ? 'webgpu' : 'cpu';
}
```
## Security Considerations / セキュリティ考慮事項
### Trusted Content / 信頼できるコンテンツ
```javascript
// Validate model inputs
function validateModelInput(data) {
// Check data bounds
if (!Array.isArray(data)) {
throw new Error('Input must be an array');
}
// Check for NaN/Infinity
if (data.some(x => !isFinite(x))) {
throw new Error('Input contains invalid values');
}
return true;
}
```
### Memory Safety / メモリ安全性
```javascript
// Prevent memory leaks
class SafeWebGPUManager {
constructor() {
this.resources = new Set();
}
createResource(type, config) {
const resource = new type(config);
this.resources.add(resource);
return resource;
}
cleanup() {
for (const resource of this.resources) {
if (resource.free) {
resource.free();
}
}
this.resources.clear();
}
}
```
## Future Roadmap / 今後のロードマップ
### Short Term (v0.6.0) / 短期（v0.6.0）
- ✅ Complete WebGPU compute shader implementation
- ✅ Multi-browser WebGPU compatibility
- ✅ Advanced memory management for GPU operations
### Medium Term (v0.7.0) / 中期（v0.7.0）
- 🔄 WebGPU-accelerated convolution operations
- 🔄 Browser-based model training pipelines
- 🔄 WebWorker integration for background processing
### Long Term (v1.0.0) / 長期（v1.0.0）
- 🔄 Full transformer training in browser
- 🔄 WebGPU-accelerated computer vision
- 🔄 Real-time inference optimization
---
**🎯 Ready to use WebGPU with RusTorch?**
**RusTorchでWebGPUを使う準備はできましたか？**
Start with the [WebGPU Simple Demo](../examples/webgpu_simple_demo.html) for hands-on experience!
実践的な体験には[WebGPU Simple Demo](../examples/webgpu_simple_demo.html)から始めてください！