Commit Graph

11 Commits

Author SHA1 Message Date
Vijay Janapa Reddi
99b32d2719 Removes development headers from notebooks
Removes redundant "DEVELOPMENT" headers from several notebook files.

These headers are no longer necessary and declutter the notebook content, improving readability and focus on the core content and testing sections.
2025-07-20 12:39:21 -04:00
Vijay Janapa Reddi
09cd3f3eb6 Standardize section headers for 12_compression module 2025-07-20 12:31:12 -04:00
Vijay Janapa Reddi
fb1f8feab3 Replace manual test calls with automatic discovery 2025-07-20 12:19:49 -04:00
Vijay Janapa Reddi
9a658a53aa docs: Add comprehensive test documentation across all modules
 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.
2025-07-20 10:58:08 -04:00
Vijay Janapa Reddi
cc3ca453ad 🧪 Add missing test function calls and fix name mismatches in 12_compression module
- Added test_unit_compression_metrics() call and fixed name mismatch
- Added test_unit_magnitude_pruning() call and fixed name mismatch
- Added test_unit_quantization() call and fixed name mismatch
- Added test_unit_distillation() call and fixed name mismatch
- Added test_unit_structured_pruning() call and fixed name mismatch
- Added test_unit_comprehensive_comparison() call and fixed name mismatch

Ensures all test functions are executed when cells run, providing immediate feedback to students.
2025-07-20 10:38:22 -04:00
Vijay Janapa Reddi
0c3584f41c Add structural organization headers to 12_compression module
- Added ## 🔧 DEVELOPMENT section before Step 1 where development begins
- Added ## 🤖 AUTO TESTING section before nbgrader block
- Updated to ## 🎯 MODULE SUMMARY: Model Compression

Improves notebook organization without changing any code logic or content.
2025-07-20 10:08:42 -04:00
Vijay Janapa Reddi
2e2131540c Fix 12_compression: Move integration tests BEFORE testing, clean structure
CORRECTED PATTERN NOW:
1.  Integration tests (test_compression_integration, test_comprehensive_compression_integration) - 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 both integration test functions from AFTER testing section to BEFORE it
 Removed duplicate integration test functions and markdown sections
 Cleaned up multiple run_module_tests_auto calls - now only one clean call
 Proper STANDARDIZED MODULE TESTING structure

Module 12_compression now follows the exact pattern
2025-07-20 09:42:47 -04:00
Vijay Janapa Reddi
0ebd3f5051 Fix 12_compression: Add missing Module Summary section
Module 12_compression now follows the complete standardized pattern:
1. ## 🧪 Module Testing (explanation)
2. Standardized testing cell with run_module_tests_auto
3. Integration test functions
4. ## 🎯 Module Summary (educational wrap-up) ← ADDED

 Added comprehensive Module Summary covering:
- Model compression techniques (pruning, quantization)
- Production deployment skills
- Mathematical foundations
- Real-world applications and industry connections
- Professional development outcomes

All 16 modules now follow the complete standardized testing pattern
2025-07-20 09:09:47 -04:00
Vijay Janapa Reddi
1046bb4ee7 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
6bd628174d Fix module file naming and tensor assignment issues
- Updated module.yaml files for 05_dense and 06_spatial to reference correct dev file names
- Fixed #| default_exp directives in dense_dev.py and spatial_dev.py to export to correct module names
- Fixed tensor assignment issues in 12_compression module by creating new Tensor objects instead of trying to assign to .data property
- Removed missing function imports from autograd integration test
- All individual module tests now pass (01_setup through 14_benchmarking)
- Generated correct module files: dense.py, spatial.py, attention.py
2025-07-18 01:56:07 -04:00
Vijay Janapa Reddi
9d637e80ef 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