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
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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
c5d337995b
Standardize section headers for 14_benchmarking module
2025-07-20 12:32:14 -04:00
Vijay Janapa Reddi
6fef27be01
Separate plot functions from test execution
2025-07-20 12:19:39 -04:00
Vijay Janapa Reddi
3b191eb89d
🧪 Add missing test function calls and fix name mismatches in 14_benchmarking module
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- Added test_unit_benchmark_scenarios() call after function definition
- Fixed test_statistical_validation() → test_unit_statistical_validation()
- Added test_unit_tinytorch_perf() call after function definition
- Fixed test_performance_reporter() → test_unit_performance_reporter()
- Fixed test_comprehensive_benchmarking() → test_module_comprehensive_benchmarking()
Ensures all test functions are executed when cells run, providing immediate feedback to students.
2025-07-20 10:42:38 -04:00
Vijay Janapa Reddi
ccda578317
✨ Add structural organization headers to 14_benchmarking 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: Performance Benchmarking
Improves notebook organization without changing any code logic or content.
2025-07-20 10:10:44 -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
