rustorch 0.6.29

Production-ready PyTorch-compatible deep learning library in Rust with special mathematical functions (gamma, Bessel, error functions), statistical distributions, Fourier transforms (FFT/RFFT), matrix decomposition (SVD/QR/LU/eigenvalue), automatic differentiation, neural networks, computer vision transforms, complete GPU acceleration (CUDA/Metal/OpenCL), SIMD optimizations, parallel processing, WebAssembly browser support, comprehensive distributed learning support, and performance validation
Documentation
//! Unified CoreML module for Apple Neural Engine integration
//! Apple Neural Engine統合用統一CoreMLモジュール

/// CoreML feature detection and conditional compilation helpers
/// CoreML機能検出と条件付きコンパイルヘルパー
pub mod common;

/// Unified CoreML device management
/// 統一CoreMLデバイス管理
pub mod device;

/// CoreML operation implementations
/// CoreML演算実装
pub mod operations;

/// CoreML backend integration
/// CoreMLバックエンド統合
pub mod backend;

/// CoreML model management and caching
/// CoreMLモデル管理とキャッシュ
pub mod model_manager;

/// Hybrid execution integration with other GPU backends
/// 他のGPUバックエンドとのハイブリッド実行統合
pub mod integration;

// Re-export main interfaces
pub use backend::*;
pub use common::*;
pub use device::*;
pub use integration::*;
pub use model_manager::*;
pub use operations::*;