Vijay Janapa Reddi 016ee95a1d Save current state before examples cleanup ...

Committing all remaining autograd and training improvements:
- Fixed autograd bias gradient aggregation
- Updated optimizers to preserve parameter shapes
- Enhanced loss functions with Variable support
- Added comprehensive gradient shape tests

This commit preserves the working state before cleaning up
the examples directory structure.

2025-09-21 15:45:23 -04:00

..

__init__.py

feat: Implement comprehensive student protection system for TinyTorch

2025-09-21 12:22:18 -04:00

_import_guard.py

feat: Implement comprehensive student protection system for TinyTorch

2025-09-21 12:22:18 -04:00

_validation.py

feat: Implement comprehensive student protection system for TinyTorch

2025-09-21 12:22:18 -04:00

activations.py

feat: Implement comprehensive student protection system for TinyTorch

2025-09-21 12:22:18 -04:00

attention.py

Update generated notebooks and package exports

2025-09-18 16:42:57 -04:00

autograd.py

Save current state before examples cleanup

2025-09-21 15:45:23 -04:00

benchmarking.py

Update generated notebooks and package exports

2025-09-18 16:42:57 -04:00

cnn.py

🔧 Complete module restructuring and integration fixes

2025-07-18 02:10:49 -04:00

compression.py

Update generated notebooks and package exports

2025-09-18 16:42:57 -04:00

dataloader.py

Complete north star validation and demo pipeline

2025-09-17 00:32:13 -04:00

dense.py

Complete auto-generated warning system and establish core file protection

2025-09-21 11:43:35 -04:00

kernels.py

Update generated notebooks and package exports

2025-09-18 16:42:57 -04:00

layers.py

feat: Implement comprehensive student protection system for TinyTorch

2025-09-21 12:22:18 -04:00

mlops.py

Update generated notebooks and package exports

2025-09-18 16:42:57 -04:00

networks.py

🔧 Complete module restructuring and integration fixes

2025-07-18 02:10:49 -04:00

optimizers.py

Save current state before examples cleanup

2025-09-21 15:45:23 -04:00

setup.py

Comprehensive TinyTorch framework evaluation and analysis

2025-09-16 22:41:07 -04:00

spatial.py

Update generated notebooks and package exports

2025-09-18 16:42:57 -04:00

tensor.py

Comprehensive TinyTorch framework evaluation and analysis

2025-09-16 22:41:07 -04:00

training.py

Save current state before examples cleanup

2025-09-21 15:45:23 -04:00