3 Commits

Author	SHA1	Message	Date
Vijay Janapa Reddi	8be87d0add	Fix nbdev export system across all 20 modules ... 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)	2025-09-30 11:21:04 -04:00
Vijay Janapa Reddi	9cfc7673cf	feat: update advanced modules (09-20) with latest improvements ... - Update spatial, tokenization, embeddings, attention modules - Update transformers, kv-caching, profiling modules - Update acceleration, quantization, compression modules - Update benchmarking and capstone modules - Align with current TinyTorch standards and patterns	2025-09-30 09:45:00 -04:00
Vijay Janapa Reddi	e1a9541c4b	Clean up module imports: convert tinytorch.core to sys.path style ... - Remove circular imports where modules imported from themselves - Convert tinytorch.core imports to sys.path relative imports - Only import dependencies that are actually used in each module - Preserve documentation imports in markdown cells - Use consistent relative path pattern across all modules - Remove hardcoded absolute paths in favor of relative imports Affected modules: 02_activations, 03_layers, 04_losses, 06_optimizers, 07_training, 09_spatial, 12_attention, 17_quantization	2025-09-30 08:58:58 -04:00