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tarek@CPP-Tarek:~/NeRF-SLAM$ python3 ./examples/slam_demo.py --dataset_dir=./replica_sample/office0 --dataset_name=nerf --buffer=100 --slam --parallel_run --img_stride=2 --fusion='nerf'
Running with GPUs: 0
Running pipeline in parallel mode.
I1015 14:35:50.232981 907612 pipeline_module.py:85] Module: VioSLAM - Spinning.
/home/tarek/.local/lib/python3.8/site-packages/torch/amp/autocast_mode.py:198: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
warnings.warn('User provided device_type of 'cuda', but CUDA is not available. Disabling')
Traceback (most recent call last):
File "./examples/slam_demo.py", line 200, in
run(args)
File "./examples/slam_demo.py", line 143, in run
slam_module.spin() # visualizer should be the main spin, but pytorch has a memory bug/leak if threaded...
File "/home/tarek/NeRF-SLAM/./examples/../pipeline/pipeline_module.py", line 88, in spin
self.initialize_module()
File "/home/tarek/NeRF-SLAM/./examples/../slam/slam_module.py", line 19, in initialize_module
self.slam = VioSLAM(self.name, self.args, self.device)
File "/home/tarek/NeRF-SLAM/./examples/../slam/vio_slam.py", line 97, in init
self.visual_frontend = RaftVisualFrontend(world_T_imu_t0, imu_T_cam0, args, device=device)
File "/home/tarek/NeRF-SLAM/./examples/../slam/visual_frontends/visual_frontend.py", line 101, in init
self.body_t0_T_world = gtsam_pose_to_torch(self.world_T_body_t0.inverse(), self.device, torch.float)
File "/home/tarek/NeRF-SLAM/./examples/../slam/visual_frontends/visual_frontend.py", line 49, in gtsam_pose_to_torch
return torch.tensor([t[0], t[1], t[2], q[1], q[2], q[3], q[0]], device=device, dtype=dtype)
File "/home/tarek/.local/lib/python3.8/site-packages/torch/cuda/init.py", line 217, in _lazy_init
torch._C._cuda_init()
RuntimeError: No CUDA GPUs are available
Traceback (most recent call last):
File "", line 1, in
File "/usr/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/usr/lib/python3.8/multiprocessing/spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
File "/usr/lib/python3.8/multiprocessing/synchronize.py", line 110, in setstate
self._semlock = _multiprocessing.SemLock._rebuild(*state)
FileNotFoundError: [Errno 2] No such file or directory
Traceback (most recent call last):
File "", line 1, in
File "/usr/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/usr/lib/python3.8/multiprocessing/spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
File "/usr/lib/python3.8/multiprocessing/synchronize.py", line 110, in setstate
self._semlock = _multiprocessing.SemLock._rebuild(*state)
FileNotFoundError: [Errno 2] No such file or directory
Calling frontend dtor...
The text was updated successfully, but these errors were encountered:
tarek@CPP-Tarek:~/NeRF-SLAM$ python3 ./examples/slam_demo.py --dataset_dir=./replica_sample/office0 --dataset_name=nerf --buffer=100 --slam --parallel_run --img_stride=2 --fusion='nerf'
Running with GPUs: 0
Running pipeline in parallel mode.
I1015 14:35:50.232981 907612 pipeline_module.py:85] Module: VioSLAM - Spinning.
/home/tarek/.local/lib/python3.8/site-packages/torch/amp/autocast_mode.py:198: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
warnings.warn('User provided device_type of 'cuda', but CUDA is not available. Disabling')
Traceback (most recent call last):
File "./examples/slam_demo.py", line 200, in
run(args)
File "./examples/slam_demo.py", line 143, in run
slam_module.spin() # visualizer should be the main spin, but pytorch has a memory bug/leak if threaded...
File "/home/tarek/NeRF-SLAM/./examples/../pipeline/pipeline_module.py", line 88, in spin
self.initialize_module()
File "/home/tarek/NeRF-SLAM/./examples/../slam/slam_module.py", line 19, in initialize_module
self.slam = VioSLAM(self.name, self.args, self.device)
File "/home/tarek/NeRF-SLAM/./examples/../slam/vio_slam.py", line 97, in init
self.visual_frontend = RaftVisualFrontend(world_T_imu_t0, imu_T_cam0, args, device=device)
File "/home/tarek/NeRF-SLAM/./examples/../slam/visual_frontends/visual_frontend.py", line 101, in init
self.body_t0_T_world = gtsam_pose_to_torch(self.world_T_body_t0.inverse(), self.device, torch.float)
File "/home/tarek/NeRF-SLAM/./examples/../slam/visual_frontends/visual_frontend.py", line 49, in gtsam_pose_to_torch
return torch.tensor([t[0], t[1], t[2], q[1], q[2], q[3], q[0]], device=device, dtype=dtype)
File "/home/tarek/.local/lib/python3.8/site-packages/torch/cuda/init.py", line 217, in _lazy_init
torch._C._cuda_init()
RuntimeError: No CUDA GPUs are available
Traceback (most recent call last):
File "", line 1, in
File "/usr/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/usr/lib/python3.8/multiprocessing/spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
File "/usr/lib/python3.8/multiprocessing/synchronize.py", line 110, in setstate
self._semlock = _multiprocessing.SemLock._rebuild(*state)
FileNotFoundError: [Errno 2] No such file or directory
Traceback (most recent call last):
File "", line 1, in
File "/usr/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/usr/lib/python3.8/multiprocessing/spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
File "/usr/lib/python3.8/multiprocessing/synchronize.py", line 110, in setstate
self._semlock = _multiprocessing.SemLock._rebuild(*state)
FileNotFoundError: [Errno 2] No such file or directory
Calling frontend dtor...
The text was updated successfully, but these errors were encountered: