mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-06-03 14:18:14 -05:00
17439fdc5c
- Added standardized testing sections to modules 07_autograd and 08_optimizers - Updated module.yaml files to reference inline testing approach - Reorganized kernels module structure with proper testing placement - All 12 TinyTorch modules now have consistent testing framework - Fixed kernels module structure to match optimizers/training pattern
26 lines
698 B
YAML
26 lines
698 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 - Used by CLI for module ordering and prerequisites
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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 - What gets built into tinytorch package
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exports_to: "tinytorch.core.layers"
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# File Structure - What files exist in this module
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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 - What's implemented in this module
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components:
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- "Dense"
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- "Linear"
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- "matmul" |