Closed ninglixu closed 1 year ago
This seems to be a problem related to nerfacc or PyTorch cpp extension. May you share your nerfacc version and installation scripts? Currently, nerfstudio depends on nerfacc==0.2.1, while the latest version is 0.3.1. I didn't encounter any issue using nerfacc==0.3.1 on linux. I think you may give it a try. 😊
I meet the same question,if you fix it?
There are now additional ways that nerfacc can be installed. You can try installing the wheel to see if that solves your issue https://github.com/KAIR-BAIR/nerfacc#installation
Describe the bug Hi there: thanks for the amazing work. I successfully install the nerfstudio according to the guide and train the vanilla-nerf and nerfactco. But when i run the instant-ngp, there is an error import nerfacc_cuda module.
To Reproduce My computer: Windows 10, python 3.8.15, torch 1.12.0+cuda113, tinycudann 1.6
Expected behavior
Screenshots
Additional context ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── [18:28:59] Saving config to: outputs\data\blender\chair\instant-ngp\2022-11-22_182859\config.yml base_config.py:274 [18:28:59] Saving checkpoints to: trainer.py:90 outputs\data\blender\chair\instant-ngp\2022-11-22_182859\nerfstudio_models Using ZMQ port: 54705
======================================================================================================================== [Public] Open the viewer at https://viewer.nerf.studio/versions/22-11-10-0/?websocket_url=ws://localhost:7007
Sending ping to the viewer Bridge Server... Successfully connected. Sending ping to the viewer Bridge Server... Successfully connected. [WARNING] Not running eval iterations since only viewer is enabled. Use
entrypoint()
File "scripts\train.py", line 248, in entrypoint
main(
File "scripts\train.py", line 234, in main
launch(
File "scripts\train.py", line 173, in launch
main_func(local_rank=0, world_size=world_size, config=config)
File "scripts\train.py", line 88, in train_loop
trainer.train()
File "\naotvs1socc.coeit.osu.edu\GDA\xuningli\3DDataRegistration\Nerf\nerfstudio\nerfstudio\engine\trainer.py", line 146, in train
callback.run_callback_at_location(
File "\naotvs1socc.coeit.osu.edu\GDA\xuningli\3DDataRegistration\Nerf\nerfstudio\nerfstudio\engine\callbacks.py", line 106, in run_callback_at_location
self.run_callback(step=step)
File "\naotvs1socc.coeit.osu.edu\GDA\xuningli\3DDataRegistration\Nerf\nerfstudio\nerfstudio\engine\callbacks.py", line 93, in run_callback
self.func(*self.args, self.kwargs, step=step)
File "\naotvs1socc.coeit.osu.edu\GDA\xuningli\3DDataRegistration\Nerf\nerfstudio\nerfstudio\models\instant_ngp.py", line 144, in update_occupancy_grid
self.occupancy_grid.every_n_step(
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, *kwargs)
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\nerfacc\grid.py", line 271, in every_n_step
self._update(
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(args, kwargs)
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\nerfacc\grid.py", line 224, in _update
x = contract_inv(
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\nerfacc\contraction.py", line 101, in contract_inv
ctype = type.to_cpp_version()
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\nerfacc\contraction.py", line 62, in to_cpp_version
return _C.ContractionTypeGetter(self.value)
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\nerfacc\cuda__init__.py", line 11, in call_cuda
from ._backend import _C
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\nerfacc\cuda_backend.py", line 82, in
_C = load(
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\torch\utils\cpp_extension.py", line 1202, in load
return _jit_compile(
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\torch\utils\cpp_extension.py", line 1450, in _jit_compile
return _import_module_from_library(name, build_directory, is_python_module)
File "C:\Users\xu.3961\Anaconda3\envs\nerfstudio\lib\site-packages\torch\utils\cpp_extension.py", line 1844, in _import_module_from_library
module = importlib.util.module_from_spec(spec)
ImportError: DLL load failed while importing nerfacc_cuda: The specified module could not be found.
--vis wandb
or--vis tensorboard
to run with eval instead. disabled tensorboard/wandb event writers Setting up training dataset... Caching all 100 images. Loading data batch ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00 Setting up evaluation dataset... Caching all 100 images. Loading data batch ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00 None No checkpoints to load, training from scratch Printing profiling stats, from longest to shortest duration in seconds Traceback (most recent call last): File "scripts\train.py", line 257, in