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
98a7228bf5
Removes development headers from notebooks
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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
bd852ef015
Standardize section headers for 13_kernels module
2025-07-20 12:31:42 -04:00
Vijay Janapa Reddi
6a483d713c
Replace manual test calls with automatic discovery
2025-07-20 12:19:49 -04:00
Vijay Janapa Reddi
f2713f0fef
🧪 Fix test function name mismatches in 13_kernels module
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- Fixed test_matmul_baseline() → test_unit_matmul_baseline()
- Fixed test_vectorized_operations() → test_unit_vectorized_operations()
- Fixed test_cache_friendly_matmul() → test_unit_cache_friendly_matmul()
- Fixed test_parallel_processing() → test_unit_parallel_processing()
- Fixed test_simple_kernel_timing() → test_unit_simple_kernel_timing()
- Fixed test_compressed_kernels() → test_unit_compressed_kernels()
Ensures correct function names are called to match their definitions.
2025-07-20 10:40:21 -04:00
Vijay Janapa Reddi
c8e0cf6b76
✨ Add structural organization headers to 13_kernels module
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- 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
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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
f77db43975
⚡ Production: Standardize test naming in optimization and deployment modules
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- 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
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✅ 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
