Open aThinkingNeal opened 7 months ago
hi, we provided the dockerfile, you can change the cuda version that's compatible with your GPU and then use that one to build.
Thanks! I will try a newer cuda version and then update here.
Currently I am facing the issue while using the dockerfile provided. #74
@aThinkingNeal I am very sorry to bother you, I am also trying to run se3-tracknet right now, but I am not able to build the docker image successfully. the GPU I am using right now is 4090, if you build the docker image successfully, can you please share the dockerfile? I will be grateful. As I am new to docker and not very familiar with this, I keep getting errors while building.
@ZisongXu Hi SongXu, I am still working on getting a workable dockerfile, will let you know if it works : )
Meanwhile, it seems folks in this issue #74 already got a working dockerfile, maybe you could consider asking them as well :)
@aThinkingNeal Thank you so much! I am also trying to make it work, if I succeed, I will also share it to you.
Best Regards Zisong Xu
@aThinkingNeal Hi Dear aThinkingNeal:
I think I managed to create a singularity container that can run at 3080, I can share it if you need it.
Best Regards Zisong Xu
@ZisongXu
Sure :) You can send the dockerfile to my email athinkingneal@gmail.com or create a pull request to this repo I guess :)
Thanks in advance : )
I am running on a NVIDIA RTX 4070 Ti GPU, using the docker image provided in the repo, the error message is as following:
It seems the only solution here is to update the CUDA version from the one used in the docker image, which is CUDA 10.1 to a higher version which is compatible with the hardware?
Thanks in advance for your help :)