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RuntimeError: There were no tensor arguments to this function #38
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The error shows that grouping doesnot return any valid proposal. Can you set semantic_only to |
Thanks for the quick reply! I was trying to run as you said, however I ran into another error
It seems like the checkpoint does not match the model.. |
The checkpoint mismatch is expected because we truncate the instance segmentation components. Which pytorch version are you using? Could you try to replace |
Replacing I'm sorry, I found out the cause of the error "RuntimeError: There were no tensor arguments to this function". Sorry again, nice work! |
Hello, I downloaded pretrained model for ScanNetV2 from https://drive.google.com/file/d/1XUNRfred9QAEUY__VdmSgZxGQ7peG5ms/view?usp=sharing in README and ran inference.
However, I got the following error.
My GPU is A100, and using torch 1.8.1.
Also, I modified dist_test.sh line 7 to
OMP_NUM_THREADS=1 python -m torch.distributed.launch --use_env --nproc_per_node=$GPUS --master_port=$PORT $(dirname "$0")/test.py $CONFIG $CHECK_POINT --dist ${@:4}
since torchrun is supported from torch 1.11.0.The text was updated successfully, but these errors were encountered: