Hi I successfully setup Mink Docker GPU (on my linux machine with CUDA 11.6) and installed jupyter lab which I port forwarded to my local windows machine. When I run the training.py code it works and I can see the loss decrease but the GPU is not used even though torch.cuda.is_available = True
Expected behavior
A clear and concise description of what you expected to happen.
when I run nvidia-smi in a seperate shell while training I expect it to be using some GPU memory.
Desktop (please complete the following information):
==========System==========
Linux-5.14.0-1054-oem-x86_64-with-debian-buster-sid
3.7.13 (default, Mar 29 2022, 02:18:16)
[GCC 7.5.0]
==========Pytorch==========
1.12.0
torch.cuda.is_available(): True
==========NVIDIA-SMI==========
Driver Version 510.108.03
CUDA Version 11.6
VBIOS Version 94.02.42.00.2F
Image Version G001.0000.03.03
GSP Firmware Version N/A
==========NVCC==========
==========CC==========
==========MinkowskiEngine==========
0.5.4
MinkowskiEngine compiled with CUDA Support: True
NVCC version MinkowskiEngine is compiled: 11030
CUDART version MinkowskiEngine is compiled: 11030
Additional context
Add any other context about the problem here.
Describe the bug
Hi I successfully setup Mink Docker GPU (on my linux machine with CUDA 11.6) and installed jupyter lab which I port forwarded to my local windows machine. When I run the training.py code it works and I can see the loss decrease but the GPU is not used even though torch.cuda.is_available = True
To Reproduce
docker run --gpus=all -it -p 8045:8888 --shm-size 20G --rm -v
pwd:/workspace/MinkowskiEngine/mounted_dir minkowski_engine
torch.version, torch.cuda.is_available()Expected behavior A clear and concise description of what you expected to happen. when I run nvidia-smi in a seperate shell while training I expect it to be using some GPU memory.
Desktop (please complete the following information):
==========System========== Linux-5.14.0-1054-oem-x86_64-with-debian-buster-sid 3.7.13 (default, Mar 29 2022, 02:18:16) [GCC 7.5.0] ==========Pytorch========== 1.12.0 torch.cuda.is_available(): True ==========NVIDIA-SMI========== Driver Version 510.108.03 CUDA Version 11.6 VBIOS Version 94.02.42.00.2F Image Version G001.0000.03.03 GSP Firmware Version N/A ==========NVCC========== ==========CC========== ==========MinkowskiEngine========== 0.5.4 MinkowskiEngine compiled with CUDA Support: True NVCC version MinkowskiEngine is compiled: 11030 CUDART version MinkowskiEngine is compiled: 11030
Additional context Add any other context about the problem here.