muskie82 / MonoGS

[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM
https://rmurai.co.uk/projects/GaussianSplattingSLAM/
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RuntimeError: CUDA error: invalid device context #127

Open ShreyaIAB opened 3 months ago

ShreyaIAB commented 3 months ago

Eval: Total FPS 0.4507488987879184 Process Process-3:

Traceback (most recent call last): File "/home/sinha/.conda/envs/MonoGS_v13_gg/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/sinha/.conda/envs/MonoGS_v13_gg/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, *self._kwargs) File "/home/sinha/Dokumente/HygDro/MonoGS_09.08/MonoGS/utils/slam_backend.py", line 481, in run self.frontend_queue.get() File "/home/sinha/.conda/envs/MonoGS_v13_gg/lib/python3.10/multiprocessing/queues.py", line 122, in get return _ForkingPickler.loads(res) File "/home/sinha/.conda/envs/MonoGS_v13_gg/lib/python3.10/site-packages/torch/multiprocessing/reductions.py", line 113, in rebuild_cuda_tensor storage = storage_cls._new_shared_cuda( File "/home/sinha/.conda/envs/MonoGS_v13_gg/lib/python3.10/site-packages/torch/storage.py", line 779, in _new_shared_cuda return torch._UntypedStorage._new_shared_cuda(args, kwargs) RuntimeError: CUDA error: invalid device context CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1.** [W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors] MonoGS: Backend stopped and joined the main thread

GUI: Received terminate signal GUI: Closing Visualization X Error of failed request: BadDrawable (invalid Pixmap or Window parameter) Major opcode of failed request: 72 (X_PutImage) Resource id in failed request: 0x300007 Serial number of failed request: 4729 Current serial number in output stream: 4759 MonoGS: GUI Stopped and joined the main thread MonoGS: Done.

ShreyaIAB commented 3 months ago

Has anyone else also faced this issue?