✅ Standardized test explanations with consistent format
📝 Added markdown cells before all test functions
🎯 Improved educational clarity for student understanding
Changes:
- 01_setup: Added 2 test explanations (personal_info, system_info)
- 02_tensor: Added 3 test explanations (creation, properties, arithmetic)
- 12_compression: Added 8 test explanations (metrics, pruning, quantization, distillation, etc.)
All 15 modules now follow standardized test documentation pattern:
### 🧪 Unit Test: [Component Name]
[Brief explanation of validation purpose]
Ensures every test has clear educational context for students.
- Added test_unit_tensor_creation() call after function definition
- Added test_unit_tensor_properties() call after function definition
- Added test_unit_tensor_arithmetic() call after function definition
Ensures test functions are actually executed when cells run, providing immediate feedback to students.
- Added ## 🔧 DEVELOPMENT section before Step 1 where development begins
- Added ## 🤖 AUTO TESTING section before nbgrader block
- Updated to ## 🎯 MODULE SUMMARY: Tensor Foundation
Improves notebook organization without changing any code logic or content.
Module 02_tensor now follows the correct pattern learned from layers_dev:
1. ## 🧪 Module Testing (explanation)
2. Standardized testing cell with run_module_tests_auto
3. Actual test functions (test_unit_tensor_creation, test_unit_tensor_properties, test_unit_tensor_arithmetic)
4. ## 🎯 Module Summary
✅ Moved test functions from end of file to proper location after standardized testing
✅ Removed duplicate test functions
✅ Students now see actual test implementations before the summary
✅ run_module_tests_auto will auto-discover and run all tests
Ensures consistent testing framework across all TinyTorch modules with:
✅ Added standardized testing sections to modules that were missing them:
- 01_setup: Added complete testing section + module summary
- 02_tensor: Added testing section + comprehensive module summary
- 15_mlops: Standardized existing testing section to match convention
✅ All modules now follow the consistent pattern:
1. ## 🧪 Module Testing (markdown explanation)
2. Locked nbgrader cell with standardized-testing ID
3. run_module_tests_auto call to discover and run all tests
4. ## 🎯 Module Summary (educational wrap-up)
✅ Benefits:
- Consistent testing experience across all 16 modules
- Automatic test discovery and execution before module completion
- Standardized educational flow: learn → implement → test → reflect
- Professional testing practices with locked testing framework
✅ Verification: All 16 modules now have both:
- '## 🧪 Module Testing' section ✓
- 'run_module_tests_auto' call ✓
This ensures students always verify their implementations work correctly
before moving to the next module, following TinyTorch's educational philosophy.
- Delete all 15 .ipynb files from modules/source directories
- Align with TinyTorch's Python-first development philosophy
- .py files are the source of truth, .ipynb files are temporary outputs
- Prevents version control conflicts with notebook metadata
- Students work directly with .py files using Jupytext format
- Notebooks can be regenerated when needed via 'tito nbdev generate'
Removed files:
- All *_dev.ipynb files across modules 01-15
- Keeps repository clean and focused on source code
- Added educational metadata (difficulty, time_estimate) to all module.yaml files
- Updated convert_readmes.py to read from YAML instead of hardcoded mappings
- Standardized difficulty progression: ⭐ → ⭐⭐ → ⭐⭐⭐ → ⭐⭐⭐⭐ → ⭐⭐⭐⭐⭐🥷
- Fixed path resolution for YAML reading in book build process
- Eliminated duplication: single source of truth for educational metadata
- Capstone gets special ninja treatment (⭐⭐⭐⭐⭐🥷) as beyond-expert level
- Added bold formatting to match other modules' style
- Enhanced clarity with more specific descriptors
- Added 'efficiently' and 'with proper broadcasting' for precision
- Now consistent with activations and other modules formatting
- Improves visual hierarchy and readability in built book
✅ Rename all module directories: 00_setup → 01_setup, etc.
✅ Update convert_modules.py mappings for new directory names
✅ Update _toc.yml file paths and titles (1-14 instead of 0-13)
✅ Regenerate all overview pages with new numbering
✅ Fix all broken references in usage-paths and intro
✅ Update chapter references to use natural numbering
Benefits:
- More intuitive course progression starting from 1
- Matches academic course numbering conventions
- Eliminates confusion about 'Module 0' concept
- Cleaner mental model for students and instructors
- All references and links properly updated
Complete transformation: 14 modules now numbered 01-14
