6 Commits

Author	SHA1	Message	Date
Vijay Janapa Reddi	f48b0cebe4	Add Module 14-15 connection section to profiling documentation ... Explains how profiling enables optimization discovery and connects to KV caching workflow	2025-11-06 15:31:48 -05:00
Vijay Janapa Reddi	9a5b7ad05b	Module 15: Export ProfilerComplete and create KV cache profiling demo ... - Added ProfilerComplete class to profiling_dev.py with all measurement methods - Exported ProfilerComplete to tinytorch/profiling/profiler.py - Created profile_kv_cache.py milestone demonstrating scientific performance measurement - Demo shows 19x speedup from KV caching with detailed profiling metrics - Validates Module 14 KV cache optimization impact quantitatively	2025-11-06 14:21:22 -05:00
Vijay Janapa Reddi	0e997e4a10	refactor: Standardize imports across modules 10-17 to match 01-09 ... Enforce consistent import pattern across all modules: - Direct imports from tinytorch.core.* (no fallbacks) - Remove all sys.path.append manipulations - Remove try/except import fallbacks - Remove mock/dummy class fallbacks Fixed modules: - Module 10 (tokenization): Removed try/except fallback - Module 12 (attention): Removed sys.path.append for tensor/layers - Module 15 (profiling): Removed sys.path + mock Tensor/Linear/Conv2d - Module 16 (acceleration): Removed hardcoded path + importlib + mock Tensor - Module 17 (quantization): Removed sys.path + disabled fallback block All modules now follow the same pattern as modules 01-09: from tinytorch.core.tensor import Tensor from tinytorch.core.layers import Linear # etc. No development fallbacks - assume tinytorch package is installed.	2025-10-24 17:51:10 -04:00
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