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
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//! Organized tensor operations module
//! 整理されたテンソル操作モジュール
//!
//! This module provides a clean, organized interface to tensor operations,
//! grouped by functionality and abstracted through traits for better code organization.

pub mod zero_copy;

// Re-export important traits and types
pub use zero_copy::{TensorIterOps, ZeroCopyOps};