Training freezes during PSO hyperparameter search
📰 Reddit r/learnprogramming
Troubleshoot training freezes during PSO hyperparameter search in PyTorch by checking GPU utilization, batch size, and PSO parameters
Action Steps
- Check GPU utilization using nvidia-smi to ensure it's not overloaded
- Reduce batch size to prevent out-of-memory errors
- Verify PSO parameters such as swarm size, iterations, and bounds to ensure they are reasonable
- Add print statements or use a debugger to monitor the training loop and identify where it freezes
- Test the training pipeline without PSO to isolate the issue
Who Needs to Know This
Data scientists and machine learning engineers working with PyTorch and hyperparameter tuning can benefit from this troubleshooting guide to resolve training freezes
Key Insight
💡 Training freezes can be caused by a combination of factors, including GPU utilization, batch size, and PSO parameters
Share This
🚨 Troubleshoot training freezes in PyTorch with these 5 steps! 🚨
Key Takeaways
Troubleshoot training freezes during PSO hyperparameter search in PyTorch by checking GPU utilization, batch size, and PSO parameters
Full Article
Hi everyone, I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code: https://www.kaggle.com/code/doffymingo/not
DeepCamp AI