Vijay Janapa Reddi
8789844409
Separate plot functions from test execution
2025-07-20 12:19:39 -04:00
Vijay Janapa Reddi
e491d5bfd3
🧪 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
c3a873fe5c
✨ 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
c543cfca01
⚡ 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
6c2b253751
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
