mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-03-12 04:34:36 -05:00
The checkpoint command tracked 21 technical capability checkpoints, but this overlapped significantly with the milestones system which provides a more engaging, narrative-driven progress tracking experience. Changes: - Removed checkpoint command and test files - Updated milestone.py to remove checkpoint dependencies - Removed checkpoint integration from export.py, src.py, leaderboard.py - Updated CLI help text to reference milestones instead - Updated test suite (49/49 tests passing) - Archived checkpoint.py for reference Rationale: - Milestones is more engaging (historical ML achievements) - Module status already shows granular progress - Reduces duplication and confusion - Single clear progress tracking system 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
TinyTorch Documentation
This directory contains essential documentation for TinyTorch development and usage.
📚 User Documentation
STUDENT_QUICKSTART.md- Getting started guide for studentsINSTRUCTOR_GUIDE.md- Setup and grading guide for instructorscifar10-training-guide.md- Complete guide to achieving the north star goal (75% CIFAR-10 accuracy)
🔧 Development Documentation
tinytorch-assumptions.md- CRITICAL: TinyTorch complexity framework and implementation guidelines
Development Standards
development/module-rules.md- Module development standards and patterns
NBGrader Integration
nbgrader/NBGrader_Quick_Reference.md- Daily use commands and workflownbgrader/NBGRADER_STYLE_GUIDE.md- Style guide for NBGrader cellsnbgrader/NBGrader_Text_Response_Technical_Implementation.md- Technical implementation details
Start here:
- Students: Read
STUDENT_QUICKSTART.md - Instructors: Read
INSTRUCTOR_GUIDE.md - Developers: Read
tinytorch-assumptions.mdFIRST, thendevelopment/module-rules.md