[500, 2000, 3000, 5000, 7000, 10000, 15000, 30000]
Optimizing output/llff/fern
Output folder: output/llff/fern [08/08 16:52:17]
Tensorboard not available: not logging progress [08/08 16:52:17]
args.source_path is data/nerf_llff_data/fern [08/08 16:52:17]
############ load llff ############ [08/08 16:52:17]
Reading camera 20/20 [08/08 16:52:17]
2.8834194898605348 cameras_extent [08/08 16:52:17]
Loading Training Cameras 1.0 [08/08 16:52:17]
3it [00:03, 1.24s/it]
Loading Test Cameras 1.0 [08/08 16:52:21]
3it [00:01, 2.77it/s]
Number of points at initialisation : 0 [08/08 16:52:27]
Traceback (most recent call last):
File "train.py", line 472, in
training(lp.extract(args), op.extract(args), pp.extract(args), args)
File "train.py", line 66, in training
scene = Scene(args, gaussians, shuffle=False)
File "/home/jy/demo/CoR-GS-main/scene/init.py", line 120, in init
self.gaussians.create_from_pcd(scene_info.point_cloud, self.cameras_extent)
File "/home/jy/demo/CoR-GS-main/scene/gaussian_model.py", line 144, in create_from_pcd
dist2 = torch.clamp_min(distCUDA2(fused_point_cloud)[0], 0.0000001)
RuntimeError: tabulate: failed to synchronize: cudaErrorInvalidConfiguration: invalid configuration argument
Hello, I have encountered a certain issue for which I am uncertain of the cause. Could you please provide guidance on how to resolve it? Your assistance would be greatly appreciated.
[500, 2000, 3000, 5000, 7000, 10000, 15000, 30000] Optimizing output/llff/fern Output folder: output/llff/fern [08/08 16:52:17] Tensorboard not available: not logging progress [08/08 16:52:17] args.source_path is data/nerf_llff_data/fern [08/08 16:52:17] ############ load llff ############ [08/08 16:52:17] Reading camera 20/20 [08/08 16:52:17] 2.8834194898605348 cameras_extent [08/08 16:52:17] Loading Training Cameras 1.0 [08/08 16:52:17] 3it [00:03, 1.24s/it] Loading Test Cameras 1.0 [08/08 16:52:21] 3it [00:01, 2.77it/s] Number of points at initialisation : 0 [08/08 16:52:27] Traceback (most recent call last): File "train.py", line 472, in
training(lp.extract(args), op.extract(args), pp.extract(args), args)
File "train.py", line 66, in training
scene = Scene(args, gaussians, shuffle=False)
File "/home/jy/demo/CoR-GS-main/scene/init.py", line 120, in init
self.gaussians.create_from_pcd(scene_info.point_cloud, self.cameras_extent)
File "/home/jy/demo/CoR-GS-main/scene/gaussian_model.py", line 144, in create_from_pcd
dist2 = torch.clamp_min(distCUDA2(fused_point_cloud)[0], 0.0000001)
RuntimeError: tabulate: failed to synchronize: cudaErrorInvalidConfiguration: invalid configuration argument
Hello, I have encountered a certain issue for which I am uncertain of the cause. Could you please provide guidance on how to resolve it? Your assistance would be greatly appreciated.