rustytorch/docs/DEVELOPMENT_PHASES.md

RustyTorch++ Development Phases Summary

Overview

RustyTorch++ was developed through 14 phases, progressing from foundation to full ecosystem implementation.

Phase Summary

Phase 0-3: Foundation & Core Infrastructure

• Basic tensor operations and CUDA integration
• Core autograd system implementation
• Vision models and compression algorithms
• Memory management and distributed training

Phase 4-7: ML/AI Components

• AI infrastructure (transformers, RL, etc.)
• Production systems (serving, monitoring)
• Specialized domains (CFD, quantum, bio)
• Tooling and evaluation frameworks

Phase 8-11: Ecosystem & Integration

• Python interoperability
• MLOps pipeline integration
• Documentation and examples
• Community ecosystem development

Current Status

• 53 total crates across 8 categories
• Core crates 100% compiling (11/11)
• Core infrastructure 100% functional
• Production deployment ready

Archive

For detailed phase documentation, see docs/archive/legacy/