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graphdeco-inria / hierarchy-rasterizer

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Cannot transform tensor to CUDA after "from diff_gaussian_rasterization import GaussianRasterizationSettings, GaussianRasterizer" #1

Open RyanPham19092002 opened 3 weeks ago

RyanPham19092002 commented 3 weeks ago

Hi! Thanks for your great work! But I have some issues with this pacakage. I try to import torch and transform tensor to CUDA after I install package, but it error like the image below image

(hierarchical_3d_gaussians) vinai@gausian-splatting:/data/Phat/hierarchical-3d-gaussians$ nvidia-smi Sun Aug 18 08:29:35 2024
+-----------------------------------------------------------------------------+ | NVIDIA-SMI 460.80 Driver Version: 460.80 CUDA Version: 11.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 GeForce RTX 208... Off | 00000000:17:00.0 Off | N/A | | 44% 44C P0 56W / 260W | 0MiB / 11019MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ (hierarchical_3d_gaussians) vinai@gausian-splatting:/data/Phat/hierarchical-3d-gaussians$ nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Sep_21_10:33:58_PDT_2022 Cuda compilation tools, release 11.8, V11.8.89 Build cuda_11.8.r11.8/compiler.31833905_0 P/s : g++ and gcc have version 11.2 Can you help me for this issues ? Thanks for your help

ameuleman commented 3 weeks ago

Hi, Would it be possible to update the NVIDIA driver?

RyanPham19092002 commented 3 weeks ago

Thanks for your reply. I'm sorry but I cannot do that, I don't have permission for updating NVIDIA driver on this server. Do you have any solutions for this problem but I don't need to update NVIDIA driver ?

ameuleman commented 3 weeks ago

There seems to be a mismatch between the CUDA compiler and the NVIDIA driver. If updating the driver is not an option, downgrading NVCC to 11.1 and installing a pytorch version compiled with cuda 11.1 should solve the issue. Note that we have not tested our codebase with these versions.

RyanPham19092002 commented 3 weeks ago

Thanks for your suggestion. But I based on repo hierarchical-3d-gaussians , and I follow the guide and it need to install torch CUDA version 11.8 ? Downgrading NVCC to 11.1 is suitable ?

ameuleman commented 3 weeks ago

Given your constraints, this is the best solution that comes to mind and it is likely to work. Again, we have not tested with CUDA 11.1 or pytorch 1.x.

RyanPham19092002 commented 3 weeks ago

Thanks for your help, I will try this P/s : my pytorch version is 2.0.0+cu118

ameuleman commented 3 weeks ago

To ensure pytorch is also compatible with your driver, I would install an older pytorch version. After uninstalling pytorch 2.0.0+cu118, run:

 conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=11.1 -c pytorch -c conda-forge
RyanPham19092002 commented 3 weeks ago

Hi, I try to install but it cannot install image Do you have another solutions ? Thanks for your help

ameuleman commented 3 weeks ago

This version of pytorch requires an older python version:

 conda install python==3.9
 pip install torch==1.10.1+cu111 torchvision==0.11.2 torchaudio==0.10.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html
 pip install -r requirements.txt
RyanPham19092002 commented 3 weeks ago

Hi Thanks for your help, it's work. Thank you so much