---
pid: 3187485
cwd: "/home/ubuntu/hpml_nyu"
command: "cd /home/ubuntu/hpml_nyu && source venv/bin/activate && PYTHONUNBUFFERED=1 python lab2.py --cuda --epochs 5 --task c3 2>&1"
started_at: 2026-03-05T09:31:02.605Z
running_for_seconds: 350   
---
Device: cuda
ResNet-18 params: 11,173,962

============================================================
 C3: I/O Optimization — Worker Sweep (5 epochs each)
============================================================
 Workers  AvgData(s)  AvgTrain(s)  AvgTotal(s)
       0      13.516       11.123       26.019
       4       0.684        9.761       11.665
       8       0.780        8.486       10.266
      12       0.838        5.787        7.079
      16       0.882        5.356        6.629
/home/ubuntu/.local/lib/python3.10/site-packages/torch/utils/data/dataloader.py:624: UserWarning: This DataLoader will create 20 worker processes in total. Our suggested max number of worker in current system is 16, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
  warnings.warn(
      20       0.966        5.343        6.710

C3.2 => Best num_workers = 4 (avg data time: 0.684s)
Plot saved -> c3_workers.png

=> Use --num_workers 4 for subsequent experiments

---
exit_code: 0
elapsed_ms: 351827
ended_at: 2026-03-05T09:36:54.432Z
---