mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-04-27 09:54:25 -05:00
f1d47330b3
- Remove unnecessary module_paths.txt file for cleaner architecture - Update export command to discover modules dynamically from modules/source/ - Simplify nbdev command to support --all and module-specific exports - Use single source of truth: nbdev settings.ini for module paths - Clean up import structure in setup module for proper nbdev export - Maintain clean separation between module discovery and export logic This implements a proper software engineering approach with: - Single source of truth (settings.ini) - Dynamic discovery (no hardcoded paths) - Clean CLI interface (tito package nbdev --export [--all|module]) - Robust error handling with helpful feedback
26 lines
544 B
YAML
26 lines
544 B
YAML
# TinyTorch Module Metadata
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# Essential system information for CLI tools and build systems
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name: "layers"
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title: "Layers"
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description: "Neural network layers (Linear, activation layers)"
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# Dependencies
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dependencies:
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prerequisites: ["setup", "tensor", "activations"]
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enables: ["networks", "training"]
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# Package Export
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exports_to: "tinytorch.core.layers"
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# File Structure
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files:
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dev_file: "layers_dev.py"
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test_file: "tests/test_layers.py"
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readme: "README.md"
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# Components
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components:
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- "Linear"
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- "Activation"
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- "Sequential" |