-
Notifications
You must be signed in to change notification settings - Fork 224
Open
Description
when I "python train.py -s data/ggbond -m output/ggbond --data_device cpu", the trouble is turn up.
data/ggbond is only 160 MB.
my cuda is 11.8.
torch is :
python
Python 3.7.1 (default, Oct 28 2018, 08:39:03) [MSC v.1912 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> print(torch.cuda.is_available())
True
>>> print(torch.cuda.device_count())
1
>>> print(torch.version.cuda)
11.1
trouble:
python train.py -s data/ggbond -m output/ggbond --data_device cpu
Optimizing output/ggbond
Output folder: output/ggbond [20/01 11:39:18]
Tensorboard not available: not logging progress [20/01 11:39:18]
Reading camera 92/92 [20/01 11:39:18]
Loading Training Cameras [20/01 11:39:18]
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1 [20/01 11:39:18]
Traceback (most recent call last):
File "train.py", line 277, in <module>
training(lp.extract(args), op.extract(args), pp.extract(args), args.test_iterations, args.save_iterations, args.checkpoint_iterations, args.start_checkpoint)
File "train.py", line 35, in training
scene = Scene(dataset, gaussians)
File "E:\workspace\2d-gaussian-splatting\scene\__init__.py", line 73, in __init__
self.train_cameras[resolution_scale] = cameraList_from_camInfos(scene_info.train_cameras, resolution_scale, args)
File "E:\workspace\2d-gaussian-splatting\utils\camera_utils.py", line 60, in cameraList_from_camInfos
camera_list.append(loadCam(args, id, c, resolution_scale))
File "E:\workspace\2d-gaussian-splatting\utils\camera_utils.py", line 54, in loadCam
image_name=cam_info.image_name, uid=id, data_device=args.data_device)
File "E:\workspace\2d-gaussian-splatting\scene\cameras.py", line 59, in __init__
self.camera_center = self.world_view_transform.inverse()[3, :3]
RuntimeError: cusolver error: 7, when calling `cusolverDnCreate(handle)`
Metadata
Metadata
Assignees
Labels
No labels