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About running time #47

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wenyuema-cs opened this issue Nov 25, 2020 · 2 comments
Closed

About running time #47

wenyuema-cs opened this issue Nov 25, 2020 · 2 comments

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@wenyuema-cs
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Hi muhan,

Thanks for sharing the code, I've run it by both python Main.py --data--name USAir --hop 'auto' --batch-size 1 and python Main.py --data--name USAir --hop 1 --batch-size 1, the sampling of subgraph run smoothly, but it seems to suck after print Initializing DGCNN.
The previous command has run over 2 days still without output file auc_results.txt. And now the second command has run over 4 hours without printing a log or file.
I thought it was because the subgraph is very large due to 'auto -hop', but still suck after changing hop arg to 1 hop
does it correct, did u spend time on training and get auc results?

@muhanzhang
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image

Hi, this is my log output after running python Main.py --data-name USAir --hop 'auto' --batch-size 1 (--data-name instead of --data--name). Can you check your CPU usage or GPU usage while stucked to see whether it is training or not? Also, can you check whether your pytorch_DGCNN is successfully installed and compiled following its instruction?

@wenyuema-cs
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Thanks a lot, I've solved this issue by applying this code to another server.
Thought it was because the previous server's resource limit

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