You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi guys,
I am now trying to replicate the results on RTX 2080Ti. I added -gencode arch=compute_75,code=sm_75 to the nvcc command to make it work on RTX 2080Ti. I did the bash install and downloaded the models. It goes fine upto this step. Then when I run: bash ./scripts/figures.sh 0 car df, then I get the following error:
Hi ztzhang,
Thank you for the reply. The above method didn't work [yes exactly due to the difference in PyTorch and Cuda versions] and I tried with the given Docker image. I had to change it in multiple places to make it work and the installation goes perfectly. But once I run the bash ./scripts/figures.sh 0 car df, I get cudnn_status_execution_failed. I think the problem comes from the RTX 2080Ti graphics cards I have. I will run again with -gencode arch=compute_75, code=sm_75 [I think that's the correct way, please correct me if I am wrong] to compile for the RTX series. I also tried running it with a lower batch size but it didn't work. Thank you.
Hi guys,
I am now trying to replicate the results on RTX 2080Ti. I added -gencode arch=compute_75,code=sm_75 to the nvcc command to make it work on RTX 2080Ti. I did the bash install and downloaded the models. It goes fine upto this step. Then when I run: bash ./scripts/figures.sh 0 car df, then I get the following error:
ImportError: /home/user/Downloads/VON/render_module/vtn/vtn/_ext/vtn_lib/_vtn_lib.so: undefined symbol: __cudaRegisterFatBinaryEnd
I see that the _vtn_lib.so is created there. Could you please point me in the right direction? Thank you.
The text was updated successfully, but these errors were encountered: