When test other cad model in lm dataset, such as obj_000015.ply, not obj_000005.ply, it will arise CUDA out of memory problem.
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 19.10 GiB (GPU 0; 44.53 GiB total capacity; 34.78 GiB already allocated; 7.57 GiB free; 36.44 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Elapsed time: 126 seconds
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
+---------------------------------------------------------------------------------------+
When test other cad model in lm dataset, such as obj_000015.ply, not obj_000005.ply, it will arise CUDA out of memory problem.
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 19.10 GiB (GPU 0; 44.53 GiB total capacity; 34.78 GiB already allocated; 7.57 GiB free; 36.44 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF Elapsed time: 126 seconds
This is my GPU Sat Oct 12 02:15:11 2024
+---------------------------------------------------------------------------------------+ | NVIDIA-SMI 545.23.08 Driver Version: 545.23.08 CUDA Version: 12.3 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 NVIDIA L40S On | 00000000:00:0A.0 Off | 0 | | N/A 40C P0 83W / 350W | 13211MiB / 46068MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 1 NVIDIA L40S On | 00000000:FD:04.0 Off | 0 | | N/A 41C P0 84W / 350W | 1723MiB / 46068MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 2 NVIDIA L40S On | 00000000:FD:05.0 Off | 0 | | N/A 31C P8 32W / 350W | 6MiB / 46068MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 3 NVIDIA L40S On | 00000000:FD:06.0 Off | 0 | | N/A 32C P8 33W / 350W | 6MiB / 46068MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 4 NVIDIA L40S On | 00000000:FD:07.0 Off | 0 | | N/A 31C P8 31W / 350W | 6MiB / 46068MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 5 NVIDIA L40S On | 00000000:FF:00.0 Off | 0 | | N/A 34C P8 33W / 350W | 6MiB / 46068MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 6 NVIDIA L40S On | 00000000:FF:02.0 Off | 0 | | N/A 31C P8 33W / 350W | 6MiB / 46068MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 7 NVIDIA L40S On | 00000000:FF:03.0 Off | 0 | | N/A 38C P0 79W / 350W | 435MiB / 46068MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| +---------------------------------------------------------------------------------------+