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RusTorch v0.6.23 - Metal GPU Convolution with Hardware Acceleration

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@JunSuzukiJapan JunSuzukiJapan released this 28 Sep 04:14
· 22 commits to main since this release
v0.6.23
5455153

🚀 RusTorch v0.6.23 - Metal GPU Convolution with Hardware Acceleration

This release introduces high-performance Metal GPU convolution implementation with complete hardware acceleration support.

🎯 Key Features

⚡ Metal GPU Convolution Implementation

  • Hardware-accelerated convolution operations using im2col + GEMM approach
  • Intelligent device selection with mac-hybrid feature for optimal performance
  • Metal kernel integration with f32/f64 precision support for maximum compatibility

🌐 Enhanced Platform Compatibility

  • WebAssembly compatibility with conditional compilation for browser deployment
  • Automatic fallback for WebAssembly targets ensuring cross-platform support
  • Complete license compliance with CC0-1.0 support added

🏗️ Improved Project Organization

  • Consolidated benchmarks in dedicated benchmarks/ workspace
  • Enhanced benchmark organization with dedicated workspace structure
  • Streamlined development workflow for performance testing

📊 Validation & Quality Assurance

  • 1139+ tests passing across all platforms (Windows, macOS, Ubuntu, beta, nightly)
  • Full WASM compatibility verified and tested
  • License compliance validated with comprehensive dependency checking
  • Performance benchmarks integrated and passing

🔧 Technical Implementation

Metal GPU Acceleration

  • im2col + GEMM convolution algorithm for optimal GPU utilization
  • Hardware-accelerated computation with intelligent device selection
  • Full compatibility with existing tensor operations

Cross-Platform Support

  • Conditional compilation ensures WASM compatibility
  • Automatic device selection for optimal performance
  • Graceful fallback for unsupported platforms

Enhanced Development Experience

  • Consolidated benchmark workspace for better organization
  • Improved CI/CD pipeline with comprehensive validation
  • Complete license compliance for enterprise deployment

📈 Performance Improvements

  • Metal GPU acceleration for convolution operations
  • Optimized memory management for large tensor operations
  • Enhanced benchmark suite for performance validation

🛠️ Installation

[dependencies]
rustorch = "0.6.23"

# Optional features
metal = ["rustorch/metal"]           # Metal GPU acceleration
mac-hybrid = ["rustorch/mac-hybrid"] # Intelligent Metal/CoreML selection
wasm = ["rustorch/wasm"]             # WebAssembly browser support

📚 Documentation

🔗 Links

🤖 Generated with Claude Code

Co-Authored-By: Claude noreply@anthropic.com

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