There is a warning when I run the code, but it does not affect the normal operation of the program.
I execute the code using the following command. python demo/run.py configs/replica/room_0.yaml.
operation result:
initializing first_frame: 0
initializing the first frame ...
mapping process started!
insert keyframe
tracking process started! *
tracking frame: 52%|████████████████████ | 51/99 [00:51<01:02, 1.29s/it]insert keyframe
** current num kfs: 2 **
tracking frame: 100%|███████████████████████████████████████| 99/99 [01:41<00:00, 1.02s/it]
========== stop_mapping set ==========
* tracking process died *
** post-processing 0 steps **
* extracting final mesh *
[W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors]
** get color from network **
tensor(1457)
* mapping process died ***
[W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors]
I wonder if the warning can be eliminated and if it has something to do with having multiple GPUs on my computer
There is a warning when I run the code, but it does not affect the normal operation of the program. I execute the code using the following command. python demo/run.py configs/replica/room_0.yaml. operation result: initializing first_frame: 0 initializing the first frame ... mapping process started! insert keyframe tracking process started! * tracking frame: 52%|████████████████████ | 51/99 [00:51<01:02, 1.29s/it]insert keyframe ** current num kfs: 2 ** tracking frame: 100%|███████████████████████████████████████| 99/99 [01:41<00:00, 1.02s/it] ========== stop_mapping set ========== * tracking process died * ** post-processing 0 steps ** * extracting final mesh * [W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors] ** get color from network ** tensor(1457) * mapping process died *** [W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors] I wonder if the warning can be eliminated and if it has something to do with having multiple GPUs on my computer