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 
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//! Gated Recurrent Unit (GRU) layers implementation
//! Gated Recurrent Unit（GRU）レイヤーの実装

// Re-export from parent module for backward compatibility
pub use crate::nn::gru_cell::GRUCell;
pub use crate::nn::gru_layer::GRU;