mirror of
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73a007d312
- 06_spatial → 07_spatial - 07_dataloader → 09_dataloader - 08_autograd → 06_autograd - 09_optimizers → 08_optimizers - 10_training → 10_training (no change) Updated README files and module references for correct paths: - Development workflow paths updated in README files - Fixed tito export/test commands in module files - Updated notebook files with correct module numbers This completes the alignment between physical module directories and the logical tutorial progression plan.
31 lines
806 B
YAML
31 lines
806 B
YAML
# TinyTorch Module Metadata
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# Essential system information for CLI tools and build systems
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name: "optimizers"
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title: "Optimizers"
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description: "Gradient-based parameter optimization algorithms"
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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", "autograd"]
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enables: ["training", "compression", "mlops"]
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# Package Export - What gets built into tinytorch package
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exports_to: "tinytorch.core.optimizers"
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# File Structure - What files exist in this module
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files:
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dev_file: "optimizers_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: "6-8 hours"
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# Components - What's implemented in this module
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components:
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- "SGD"
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- "Adam"
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- "StepLR"
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- "gradient_descent_step" |