MetaR-CNN icon indicating copy to clipboard operation
MetaR-CNN copied to clipboard

RuntimeError: CUDNN_STATUS_EXECUTION_FAILED

Open NHW2017 opened this issue 4 years ago • 5 comments

Maybe you should update the version. The torch and CUDA used in this version are too old, and there are many problems in the implementation.

NHW2017 avatar Sep 16 '20 13:09 NHW2017

Maybe you should update the version. The torch and CUDA used in this version are too old, and there are many problems in the implementation.

have you solved this problem?

renqiqi avatar Oct 09 '20 06:10 renqiqi

Maybe you should update the version. The torch and CUDA used in this version are too old, and there are many problems in the implementation.

have you solved this problem?

No, I haven't solved this problem yet, if you run this program successfully, I hope you can give me a little help

NHW2017 avatar Oct 18 '20 13:10 NHW2017

Maybe you should update the version. The torch and CUDA used in this version are too old, and there are many problems in the implementation.

have you solved this problem?

This week, I finally ran the code successfully. My previous environment was Ubuntu 16.04/18.04 rtx2080ti cuda8.0 / 9.0 / 9.2. Yes, I almost tried it, but failed. I didn't list too many problems. This week, I ran the code easily under Ubuntu 18.04 gtx1070 cuda9.0, and then I tried ubuntu18.04 1050ti / 1080ti cuda9.0 / 9.2, all of which were successful. However, the previous problems still exist in 2080ti and 2070s

NHW2017 avatar Oct 22 '20 02:10 NHW2017

Maybe you should update the version. The torch and CUDA used in this version are too old, and there are many problems in the implementation.

have you solved this problem?

This week, I finally ran the code successfully. My previous environment was Ubuntu 16.04/18.04 rtx2080ti cuda8.0 / 9.0 / 9.2. Yes, I almost tried it, but failed. I didn't list too many problems. This week, I ran the code easily under Ubuntu 18.04 gtx1070 cuda9.0, and then I tried ubuntu18.04 1050ti / 1080ti cuda9.0 / 9.2, all of which were successful. However, the previous problems still exist in 2080ti and 2070s

thank you! After that, I did not continue the experiment.I will try it according to your tips.

renqiqi avatar Oct 22 '20 03:10 renqiqi

Maybe you should update the version. The torch and CUDA used in this version are too old, and there are many problems in the implementation.

have you solved this problem?

This week, I finally ran the code successfully. My previous environment was Ubuntu 16.04/18.04 rtx2080ti cuda8.0 / 9.0 / 9.2. Yes, I almost tried it, but failed. I didn't list too many problems. This week, I ran the code easily under Ubuntu 18.04 gtx1070 cuda9.0, and then I tried ubuntu18.04 1050ti / 1080ti cuda9.0 / 9.2, all of which were successful. However, the previous problems still exist in 2080ti and 2070s

Hi @NHW2017, Did you following the other experiment requirements as the author suggested, except the cuda version? Thank you!

pengyinxw avatar Jun 05 '21 19:06 pengyinxw