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 
1
2
3
4
5
6

//! Advanced memory pooling strategies for tensor allocation
//! テンソル割り当てのための高度なメモリプーリング戦略

// Re-export from the main memory module for now
// We can move the actual implementation here later
pub use crate::memory::*;