failed on clone and compile easy_pbr

[ark1234]

Firstly, I want to think you so much for your good work!

Sorry to interrupt you from your busy time.

I met some problems on clone easy_pbr
Please make sure you have the correct access rights and the repository exists. fatal: clone of '[email protected]:aantron/better-enums.git' into submodule path '/workspace/easy_pbr/deps/better_enums' failed

And I tried to clone the deps by myself, it still didn't work.

I am not familiar with GitHub, if possible, could you push your compiled image into the docker hub?

[ark1234]

I tried to figure out the aforementioned problem, but when I run the script, it said:
RuntimeError: NVRTC error: NVRTC_ERROR_INVALID_OPTION

I use GeForce RTX 2080 Ti

Seems should support your environment.

Sorry again for interrupt you from your busy time

[RaduAlexandru]

Thank you for letting me know of the issue.
I made a small change to easy_pbr now. Can you try to clone it again?
git clone --recursive https://github.com/RaduAlexandru/easy_pbr

As for the NVRTC error, what script raised such error?
First, please make sure you have installed the Nvidia drivers on your host machine. Running "nvidia-smi" in a terminal should tell you which Driver Version you have or it will raise an error if they are not installed.

Please let me know if the error persists.

[ark1234]

Thank you so much for your quick response.

As I said, I figured out the git clone problem I mentioned previously, and now I can successfully compile and run the code on Tesla A100 GPU. However, I don't have too much access time to that GPU since it is on a shared server of my university. So, I tried to use the compiled image on our lab's server, which only has some GeForce RTX 2080 Ti and Quadro RTX 6000, which only support CUDA Version of 11.0. I saw your new Dockerfile the CUDA version is 11.1.1. And when I run python ln_train.py in the latticenet_py folder. It gave me:
Compiler options: -std=c++11 --use_fast_math -arch=compute_-251149912 Traceback (most recent call last): File "ln_train.py", line 212, in <module> main() # This is what you would have, but the following is useful: File "ln_train.py", line 207, in main run() File "ln_train.py", line 94, in run lattice=Lattice.create(config_path, "lattice") RuntimeError: NVRTC error: NVRTC_ERROR_INVALID_OPTION

By the way, when I noticed the CUDA version problem, I tried to modify your Dockerfile several times, sometimes, I can generate images successfully even compile easy_pbr and data_loaders. But I never successfully compile lattice_net with the modified Dockerfile generated image.
Moreover, I tried to use your old version of Dockerfile, the version before you change to support RTX 3000 GPU, it cannot generate the image either, it stopped with this:
Step 60/82 : RUN sudo apt-get update && sudo apt-get -y install python3-pip python3-tk python3-pyqt5 python3-crypto python3-gnupg python3-dbg && sh "./cleanup.sh" ---> Running in 85f55c656c43 Get:1 http://archive.ubuntu.com/ubuntu bionic InRelease [242 kB] Get:2 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB] Get:3 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [74.6 kB] Ign:4 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 InRelease Err:1 http://archive.ubuntu.com/ubuntu bionic InRelease At least one invalid signature was encountered. Get:5 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB] Err:2 http://archive.ubuntu.com/ubuntu bionic-updates InRelease At least one invalid signature was encountered. Err:3 http://archive.ubuntu.com/ubuntu bionic-backports InRelease At least one invalid signature was encountered. Ign:6 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 InRelease Get:7 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 Release [696 B] Get:8 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 Release [564 B] Err:5 http://security.ubuntu.com/ubuntu bionic-security InRelease At least one invalid signature was encountered. Get:9 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 Release.gpg [836 B] Get:10 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 Release.gpg [833 B] Ign:9 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 Release.gpg Ign:10 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 Release.gpg Reading package lists... W: GPG error: http://archive.ubuntu.com/ubuntu bionic InRelease: At least one invalid signature was encountered. E: The repository 'http://archive.ubuntu.com/ubuntu bionic InRelease' is not signed. W: GPG error: http://archive.ubuntu.com/ubuntu bionic-updates InRelease: At least one invalid signature was encountered. E: The repository 'http://archive.ubuntu.com/ubuntu bionic-updates InRelease' is not signed. W: GPG error: http://archive.ubuntu.com/ubuntu bionic-backports InRelease: At least one invalid signature was encountered. E: The repository 'http://archive.ubuntu.com/ubuntu bionic-backports InRelease' is not signed. W: GPG error: http://security.ubuntu.com/ubuntu bionic-security InRelease: At least one invalid signature was encountered. E: The repository 'http://security.ubuntu.com/ubuntu bionic-security InRelease' is not signed. W: GPG error: https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 Release: At least one invalid signature was encountered. E: The repository 'https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 Release' is not signed. W: GPG error: https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 Release: At least one invalid signature was encountered. E: The repository 'https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 Release' is not signed. The command '/bin/sh -c sudo apt-get update && sudo apt-get -y install python3-pip python3-tk python3-pyqt5 python3-crypto python3-gnupg python3-dbg && sh "./cleanup.sh"' returned a non-zero code: 100