Commit Graph

9 Commits

Author SHA1 Message Date
Vijay Janapa Reddi
cc9cdee97d Deprecate AUTO TESTING: Remove run_module_tests_auto from all _dev.py modules. Standardize on full-module test execution for reliable, context-aware testing. 2025-07-20 13:28:10 -04:00
Vijay Janapa Reddi
ede665e2dc Simplify plot handling - remove _should_show_plots functions and plot guards 2025-07-20 12:47:14 -04:00
Vijay Janapa Reddi
98a7228bf5 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
3cc86bb3d6 Standardize section headers for 15_mlops module 2025-07-20 12:32:47 -04:00
Vijay Janapa Reddi
b64a34feb5 🧪 Fix test function name mismatches in 15_mlops module
- Fixed test_model_monitor() → test_unit_model_monitor()
- Fixed test_drift_detector() → test_unit_drift_detector()
- Fixed test_retraining_trigger() → test_unit_retraining_trigger()
- Fixed test_mlops_pipeline() → test_unit_mlops_pipeline()
- Fixed test_comprehensive_integration() → test_module_comprehensive_mlops()

Ensures correct function names are called to match their definitions.
2025-07-20 10:45:27 -04:00
Vijay Janapa Reddi
fc28c4cab2 Add structural organization headers to 15_mlops module
- Added ## 🔧 DEVELOPMENT section before Step 1 where development begins
- Added ## 🤖 AUTO TESTING section before nbgrader block
- Updated to ## 🎯 MODULE SUMMARY: MLOps Production Systems

Improves notebook organization without changing any code logic or content.
2025-07-20 10:11:44 -04:00
Vijay Janapa Reddi
48f7b2dea7 🧪 Add standardized module testing to all modules
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.
2025-07-20 09:00:17 -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