Commit Graph

6 Commits

Author SHA1 Message Date
Vijay Janapa Reddi
c8e0cf6b76 Add structural organization headers to 13_kernels module
- Added ## 🔧 DEVELOPMENT section before Step 1 where development begins
- Added ## 🤖 AUTO TESTING section before nbgrader block
- Updated to ## 🎯 MODULE SUMMARY: Hardware-Optimized Operations

Improves notebook organization without changing any code logic or content.
2025-07-20 10:09:46 -04:00
Vijay Janapa Reddi
4e28bbc6ff Fix 13_kernels: Move integration test BEFORE testing, clean structure
CORRECTED PATTERN NOW:
1.  Integration test (test_module_kernel_sequential_model) - BEFORE ## 🧪 Module Testing
2.  ## 🧪 Module Testing (markdown section)
3.  STANDARDIZED MODULE TESTING (nbgrader cell)
4.  if __name__ == '__main__' block with run_module_tests_auto
5.  ## 🎯 Module Summary (immediately after, no code between)

FIXES APPLIED:
 Moved integration test function from AFTER testing section to BEFORE it
 Removed duplicate integration test function and markdown section
 Added integration test to the if __name__ == '__main__' block
 Clean STANDARDIZED MODULE TESTING structure

Module 13_kernels now follows the exact pattern
2025-07-20 09:45:38 -04:00
Vijay Janapa Reddi
35bf079749 🧹 Remove backup files - Clean repository maintenance
- Delete 8 *_backup.py files from modules/source directories
- Remove tito/commands/test.py.backup file
- Eliminates obsolete backup files from version control
- Keeps repository clean and focused on current implementations
- Reduces repository size and improves maintainability

Removed files:
- modules/source/02_tensor/tensor_dev_backup.py
- modules/source/03_activations/activations_dev_backup.py
- modules/source/04_layers/layers_dev_backup.py
- modules/source/05_dense/dense_dev_backup.py
- modules/source/06_spatial/spatial_dev_backup.py
- modules/source/08_dataloader/dataloader_dev_backup.py
- modules/source/09_autograd/autograd_dev_backup.py
- modules/source/13_kernels/kernels_dev_backup.py
- tito/commands/test.py.backup
2025-07-20 08:42:59 -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
f77db43975 Production: Standardize test naming in optimization and deployment modules
- Compression: test_compression_metrics → test_unit_compression_metrics
- Compression: test_magnitude_pruning → test_unit_magnitude_pruning
- Compression: test_quantization → test_unit_quantization
- Compression: test_distillation → test_unit_distillation
- Compression: test_structured_pruning → test_unit_structured_pruning
- Compression: test_comprehensive_comparison → test_unit_comprehensive_comparison
- Kernels: All test_* → test_unit_* except test_kernel_integration_* → test_module_*
- Benchmarking: All test_* → test_unit_* except test_comprehensive_* → test_module_*
- MLOps: All test_* → test_unit_* except test_comprehensive_integration → test_module_*
- Finalizes test naming standardization across production-ready modules
2025-07-20 08:39:27 -04:00
Vijay Janapa Reddi
59d58718f9 refactor: Implement learner-focused module progression with better naming
 Renamed modules for clearer pedagogical flow:
- 05_networks → 05_dense (multi-layer dense/fully connected networks)
- 06_cnn → 06_spatial (convolutional networks for spatial patterns)
- 06_attention → 07_attention (attention mechanisms for sequences)

 Shifted remaining modules down by 1:
- 07_dataloader → 08_dataloader
- 08_autograd → 09_autograd
- 09_optimizers → 10_optimizers
- 10_training → 11_training
- 11_compression → 12_compression
- 12_kernels → 13_kernels
- 13_benchmarking → 14_benchmarking
- 14_mlops → 15_mlops
- 15_capstone → 16_capstone

 Updated module metadata (module.yaml files):
- Updated names, descriptions, dependencies
- Fixed prerequisite chains and enables relationships
- Updated export paths to match new names

New learner progression:
Foundation → Individual Layers → Dense Networks → Spatial Networks → Attention Networks → Training Pipeline

Perfect pedagogical flow: Build one layer → Stack dense layers → Add spatial patterns → Add attention mechanisms → Learn to train them all.
2025-07-18 00:12:50 -04:00