mirror of
https://github.com/MLSysBook/TinyTorch.git
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4f9c6e40bd
- Added educational metadata (difficulty, time_estimate) to all module.yaml files - Updated convert_readmes.py to read from YAML instead of hardcoded mappings - Standardized difficulty progression: ⭐ → ⭐⭐ → ⭐⭐⭐ → ⭐⭐⭐⭐ → ⭐⭐⭐⭐⭐🥷 - Fixed path resolution for YAML reading in book build process - Eliminated duplication: single source of truth for educational metadata - Capstone gets special ninja treatment (⭐⭐⭐⭐⭐🥷) as beyond-expert level
30 lines
779 B
YAML
30 lines
779 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", "networks", "validation"]
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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" |