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- Part I: Foundations (Modules 1-5) - Build MLPs, solve XOR - Part II: Computer Vision (Modules 6-11) - Build CNNs, classify CIFAR-10 - Part III: Language Models (Modules 12-17) - Build transformers, generate text Key changes: - Renamed 05_dense to 05_networks for clarity - Moved 08_dataloader to 07_dataloader (swap with attention) - Moved 07_attention to 13_attention (Part III) - Renamed 12_compression to 16_regularization - Created placeholder dirs for new language modules (12,14,15,17) - Moved old modules 13-16 to temp_holding for content migration - Updated README with three-part structure - Added comprehensive documentation in docs/three-part-structure.md This structure gives students three natural exit points with concrete achievements at each level.
30 lines
786 B
YAML
30 lines
786 B
YAML
# TinyTorch Module Metadata
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# Essential system information for CLI tools and build systems
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name: "dataloader"
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title: "DataLoader"
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description: "Dataset interfaces and data loading pipelines"
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# Dependencies - Used by CLI for module ordering and prerequisites
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dependencies:
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prerequisites: ["setup", "tensor"]
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enables: ["training", "dense", "spatial", "attention"]
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# Package Export - What gets built into tinytorch package
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exports_to: "tinytorch.core.dataloader"
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# File Structure - What files exist in this module
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files:
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dev_file: "dataloader_dev.py"
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readme: "README.md"
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tests: "inline"
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# Educational Metadata
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difficulty: "⭐⭐⭐"
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time_estimate: "5-6 hours"
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# Components - What's implemented in this module
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components:
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- "Dataset"
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- "DataLoader"
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- "SimpleDataset" |