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rhett-chen / graspness_implementation

My implementation of Graspnet Graspness.
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training issue #34

Open wangweifan77777 opened 3 months ago

wangweifan77777 commented 3 months ago

/home//anaconda3/envs/densefusion/lib/python3.6/site-packages/MinkowskiEngine-0.5.4-py3.6-linux-x86_64.egg/MinkowskiEngine/init.py:42: UserWarning: The environment variable OMP_NUM_THREADS not set. MinkowskiEngine will automatically set OMP_NUM_THREADS=16. If you want to set OMP_NUM_THREADS manually, please export it on the command line before running a python script. e.g. export OMP_NUM_THREADS=12; python your_program.py. It is recommended to set it below 24. "It is recommended to set it below 24.", Loading grasping labels...: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 88/88 [00:08<00:00, 10.36it/s] Loading data path and collision labels...: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:15<00:00, 6.43it/s] train dataset length: 25600 train dataloader length: 6400 EPOCH 000 Current learning rate: 0.001000 2024-05-15 20:33:17.772664 Killed

rhett-chen commented 3 months ago

Sorry, your question is not clear. It seems fine from the beginning, but I don't know why it was killed.

bujiebuhuo commented 1 month ago

/home//anaconda3/envs/densefusion/lib/python3.6/site-packages/MinkowskiEngine-0.5.4-py3.6-linux-x86_64.egg/MinkowskiEngine/init.py:42: UserWarning: The environment variable OMP_NUM_THREADS not set. MinkowskiEngine will automatically set OMP_NUM_THREADS=16. If you want to set OMP_NUM_THREADS manually, please export it on the command line before running a python script. e.g. export OMP_NUM_THREADS=12; python your_program.py. It is recommended to set it below 24. "It is recommended to set it below 24.", Loading grasping labels...: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 88/88 [00:08<00:00, 10.36it/s] Loading data path and collision labels...: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:15<00:00, 6.43it/s] train dataset length: 25600 train dataloader length: 6400 EPOCH 000 Current learning rate: 0.001000 2024-05-15 20:33:17.772664 Killed

I encountered a similar situation. I am running out of memory on my computer (Ubuntu 20.04). I have added swap memory. Then we can start training.