slurm-kmeans-gpu.out

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# PyTorch k-Means Clustering #
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Running on GPU...
Loading dataset from /pfs/work7/workspace/scratch/ku4408-VL-ScalableAI/data/cityscapes_300.h5[cityscapes_data]...
Open h5 file...
Torch tensor created.
Start fitting the data...
Iteration 0...
Iteration 1...
Iteration 2...
Iteration 3...
Iteration 4...
Iteration 5...
Iteration 6...
Iteration 7...
Iteration 8...
Iteration 9...
Iteration 10...
Iteration 11...
Iteration 12...
Iteration 13...
Iteration 14...
Iteration 15...
Iteration 16...
Iteration 17...
Iteration 18...
Iteration 19...
DONE.
Run time: 	12.904788984917104 s

============================= JOB FEEDBACK =============================

NodeName=uc2n513
Job ID: 24553850
Cluster: uc2
User/Group: ku4408/scc
State: COMPLETED (exit code 0)
Nodes: 1
Cores per node: 10
CPU Utilized: 00:00:16
CPU Efficiency: 1.39% of 00:19:10 core-walltime
Job Wall-clock time: 00:01:55
Memory Utilized: 4.37 GB
Memory Efficiency: 4.76% of 91.80 GB