mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-03-12 19:23:36 -05:00
442e860d5f
- Updated module.yaml files for 05_dense and 06_spatial to reference correct dev file names - Fixed #| default_exp directives in dense_dev.py and spatial_dev.py to export to correct module names - Fixed tensor assignment issues in 12_compression module by creating new Tensor objects instead of trying to assign to .data property - Removed missing function imports from autograd integration test - All individual module tests now pass (01_setup through 14_benchmarking) - Generated correct module files: dense.py, spatial.py, attention.py
30 lines
841 B
YAML
30 lines
841 B
YAML
# TinyTorch Module Metadata
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# Essential system information for CLI tools and build systems
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name: "spatial"
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title: "Spatial Networks"
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description: "Convolutional networks for spatial pattern recognition and image processing"
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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", "layers", "dense"]
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enables: ["attention", "training", "computer_vision"]
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# Package Export - What gets built into tinytorch package
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exports_to: "tinytorch.core.spatial"
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# File Structure - What files exist in this module
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files:
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dev_file: "spatial_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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- "conv2d_naive"
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- "Conv2D"
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- "flatten" |