while running train.py file, I'm getting following error.
How can I resolve this , if anyone has any idea ?
(FSGS) user@user-Z590-D:~/gurutva/FSGS$ python train.py --source_path dataset/nerf_llff_data/horns --model_path output/horns --eval --n_views 3 --sample_pseudo_interval 1
Using cache found in /home/user/.cache/torch/hub/intel-isl_MiDaS_master
/home/user/miniconda3/envs/FSGS/lib/python3.8/site-packages/timm/models/_factory.py:117: UserWarning: Mapping deprecated model name vit_base_resnet50_384 to current vit_base_r50_s16_384.orig_in21k_ft_in1k.
model = create_fn(
Using cache found in /home/user/.cache/torch/hub/intel-isl_MiDaS_master
[1000, 2000, 3000, 5000, 10000]
Optimizing output/horns
Output folder: output/horns [07/08 22:07:47]
Tensorboard not available: not logging progress [07/08 22:07:47]
Reading camera 62/62 [07/08 22:07:47]
6.323975610733033 cameras_extent [07/08 22:07:47]
Loading Training Cameras [07/08 22:07:47]
3it [00:01, 1.87it/s]
Loading Test Cameras [07/08 22:07:48]
8it [00:00, 18.90it/s]
Number of points at initialisation : 0 [07/08 22:07:52]
Traceback (most recent call last):
File "train.py", line 279, in <module>
training(lp.extract(args), op.extract(args), pp.extract(args), args)
File "train.py", line 44, in training
scene = Scene(args, gaussians, shuffle=False)
File "/home/user/gurutva/FSGS/scene/__init__.py", line 103, in __init__
self.gaussians.create_from_pcd(scene_info.point_cloud, self.cameras_extent)
File "/home/user/gurutva/FSGS/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
Hi , thanks in advance.
I could successfully create the env.
while running train.py file, I'm getting following error. How can I resolve this , if anyone has any idea ?