Commit Graph

4 Commits

Author SHA1 Message Date
Vijay Janapa Reddi
bfadc82ce6 Update generated notebooks and package exports
- Regenerate all .ipynb files from fixed .py modules
- Update tinytorch package exports with corrected implementations
- Sync package module index with current 16-module structure

These generated files reflect all the module fixes and ensure consistent
.py ↔ .ipynb conversion with the updated module implementations.
2025-09-18 16:42:57 -04:00
Vijay Janapa Reddi
8a101cf52d Add tito grade command for simplified NBGrader interface
Implement comprehensive grading workflow wrapped behind tito CLI:
• tito grade setup - Initialize NBGrader course structure
• tito grade generate - Create instructor version with solutions
• tito grade release - Create student version without solutions
• tito grade collect - Collect student submissions
• tito grade autograde - Automatically grade submissions
• tito grade manual - Open manual grading interface
• tito grade feedback - Generate student feedback
• tito grade export - Export grades to CSV

This allows users to only learn tito commands without needing to
understand NBGrader's complex interface. All grading functionality
is accessible through simple, consistent tito commands.
2025-09-17 19:22:02 -04:00
Vijay Janapa Reddi
771ed98a80 🧹 Remove Jupyter notebooks from modules/source - Python-first workflow
- 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
2025-07-20 08:41:26 -04:00
Vijay Janapa Reddi
d4d6277604 🔧 Complete module restructuring and integration fixes
📦 Module File Organization:
- Renamed networks_dev.py → dense_dev.py in 05_dense module
- Renamed cnn_dev.py → spatial_dev.py in 06_spatial module
- Added new 07_attention module with attention_dev.py
- Updated module.yaml files to reference correct filenames
- Updated #| default_exp directives for proper package exports

🔄 Core Package Updates:
- Added tinytorch.core.dense (Sequential, MLP architectures)
- Added tinytorch.core.spatial (Conv2D, pooling operations)
- Added tinytorch.core.attention (self-attention mechanisms)
- Updated all core modules with latest implementations
- Fixed tensor assignment issues in compression module

🧪 Test Integration Fixes:
- Updated integration tests to use correct module imports
- Fixed tensor activation tests for new module structure
- Ensured compatibility with renamed components
- Maintained 100% individual module test success rate

Result: Complete 14-module TinyTorch framework with proper organization,
working integrations, and comprehensive test coverage ready for production use.
2025-07-18 02:10:49 -04:00