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- Created comprehensive capstone module focused on framework engineering - 5 optimization tracks: performance, algorithms, systems, analysis, developer tools - Detailed example project: matrix operation optimization with 70x speedup - Project structure: 4 phases with concrete deliverables and success criteria - Updated table of contents and course navigation to include capstone - README reflects complete 15-module course structure - Realistic framework-focused projects instead of disconnected applications
35 lines
1.0 KiB
YAML
35 lines
1.0 KiB
YAML
# TinyTorch Module Metadata
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# Essential system information for CLI tools and build systems
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name: "capstone"
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title: "Capstone: Framework Optimization"
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description: "Optimize and extend your complete TinyTorch framework through systems engineering"
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# Dependencies - Used by CLI for module ordering and prerequisites
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dependencies:
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prerequisites: [
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"setup", "tensor", "activations", "layers", "networks", "cnn",
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"dataloader", "autograd", "optimizers", "training", "compression",
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"kernels", "benchmarking", "mlops"
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]
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enables: []
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# Package Export - What gets built into tinytorch package
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exports_to: "tinytorch.capstone"
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# File Structure - What files exist in this module
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files:
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dev_file: "capstone_guide.md"
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readme: "README.md"
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tests: "project_based"
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# Components - What's implemented in this module
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components:
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- "PerformanceProfiler"
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- "MemoryOptimizer"
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- "BatchNormalization"
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- "TransformerBlock"
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- "MultiGPUTraining"
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- "AdvancedOptimizer"
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- "FrameworkBenchmark"
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- "DeveloperTools" |