mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-06-02 03:00:52 -05:00
de3b837bee
PROBLEM: - nbdev requires #| export directive on EACH cell to export when using # %% markers - Cell markers inside class definitions split classes across multiple cells - Only partial classes were being exported to tinytorch package - Missing matmul, arithmetic operations, and activation classes in exports SOLUTION: 1. Removed # %% cell markers INSIDE class definitions (kept classes as single units) 2. Added #| export to imports cell at top of each module 3. Added #| export before each exportable class definition in all 20 modules 4. Added __call__ method to Sigmoid for functional usage 5. Fixed numpy import (moved to module level from __init__) MODULES FIXED: - 01_tensor: Tensor class with all operations (matmul, arithmetic, shape ops) - 02_activations: Sigmoid, ReLU, Tanh, GELU, Softmax classes - 03_layers: Linear, Dropout classes - 04_losses: MSELoss, CrossEntropyLoss, BinaryCrossEntropyLoss classes - 05_autograd: Function, AddBackward, MulBackward, MatmulBackward, SumBackward - 06_optimizers: Optimizer, SGD, Adam, AdamW classes - 07_training: CosineSchedule, Trainer classes - 08_dataloader: Dataset, TensorDataset, DataLoader classes - 09_spatial: Conv2d, MaxPool2d, AvgPool2d, SimpleCNN classes - 10-20: All exportable classes in remaining modules TESTING: - Test functions use 'if __name__ == "__main__"' guards - Tests run in notebooks but NOT on import - Rosenblatt Perceptron milestone working perfectly RESULT: ✅ All 20 modules export correctly ✅ Perceptron (1957) milestone functional ✅ Clean separation: development (modules/source) vs package (tinytorch)
110 lines
12 KiB
Python
Generated
110 lines
12 KiB
Python
Generated
# ╔═══════════════════════════════════════════════════════════════════════════════╗
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# ║ 🚨 CRITICAL WARNING 🚨 ║
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# ║ AUTOGENERATED! DO NOT EDIT! ║
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# ║ ║
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# ║ This file is AUTOMATICALLY GENERATED from source modules. ║
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# ║ ANY CHANGES MADE HERE WILL BE LOST when modules are re-exported! ║
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# ║ ║
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# ║ ✅ TO EDIT: modules/source/[unknown]/[unknown]_dev.py ║
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# ║ ✅ TO EXPORT: Run 'tito module complete <module_name>' ║
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# ║ ║
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# ║ 🛡️ STUDENT PROTECTION: This file contains optimized implementations. ║
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# ║ Editing it directly may break module functionality and training. ║
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# ║ ║
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# ║ 🎓 LEARNING TIP: Work in modules/source/ - that's where real development ║
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# ║ happens! The tinytorch/ directory is just the compiled output. ║
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# ╚═══════════════════════════════════════════════════════════════════════════════╝
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# Autogenerated by nbdev
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d = { 'settings': { 'branch': 'main',
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'doc_baseurl': '/TinyTorch/',
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'tinytorch/core/activations.py'),
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'tinytorch/core/activations.py'),
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'tinytorch/core/activations.py'),
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.Sigmoid.backward': ( '02_activations/activations_dev.html#sigmoid.backward',
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'tinytorch/core/activations.py'),
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'tinytorch/core/activations.py'),
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'tinytorch/core/layers.py'),
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'tinytorch/core/layers.py')},
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'tinytorch.core.tensor.Tensor.__add__': ( '01_tensor/tensor_dev.html#tensor.__add__',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.sum': ( '01_tensor/tensor_dev.html#tensor.sum',
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'tinytorch.core.tensor.Tensor.transpose': ( '01_tensor/tensor_dev.html#tensor.transpose',
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'tinytorch.data.loader': {},
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'tinytorch.profiling.profiler': {}}}
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