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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//! Tensor Visualization (Legacy)
//! テンソル可視化（レガシー）
//!
//! This module re-exports the new modular tensor visualization system for backward compatibility.
//! 後方互換性のために新しいモジュラーテンソル可視化システムを再エクスポート。

// Re-export new tensor module components
pub use crate::visualization::tensor::*;