Samsung NNTrainer Contributions
Memory-efficient training features and optimizer support contributed to an open-source training framework.
I contributed a set of training-efficiency improvements to Samsung NNTrainer as an open-source project.
Highlights
- Implemented gradient checkpointing, reducing training memory usage by up to 46%.
- Added the Sophia and Lion optimizers to broaden the lightweight optimizer stack.
- Focused on improvements that are useful under practical compute and memory constraints.