Files
TinyTorch/modules/source/16_capstone/module.yaml
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

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YAML

# TinyTorch Module Metadata
# Essential system information for CLI tools and build systems
name: "capstone"
title: "Capstone Project"
description: "Optimize and extend your complete TinyTorch framework through systems engineering"
# Dependencies - Used by CLI for module ordering and prerequisites
dependencies:
prerequisites: [
"setup", "tensor", "activations", "layers", "networks", "cnn",
"dataloader", "autograd", "optimizers", "training", "compression",
"kernels", "benchmarking", "mlops"
]
enables: []
# Package Export - What gets built into tinytorch package
exports_to: "tinytorch.capstone"
# File Structure - What files exist in this module
files:
dev_file: "capstone_dev.py"
readme: "README.md"
tests: "inline"
# Educational Metadata
difficulty: "⭐⭐⭐⭐⭐ 🥷"
time_estimate: "Capstone Project"
# Components - What's implemented in this module
components:
- "PerformanceProfiler"
- "MemoryOptimizer"
- "BatchNormalization"
- "TransformerBlock"
- "MultiGPUTraining"
- "AdvancedOptimizer"
- "FrameworkBenchmark"
- "DeveloperTools"