3080Ti could not build cuda engine #264

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opened 2021-09-10 09:03:08 +02:00 by lswgh · 4 comments
lswgh commented 2021-09-10 09:03:08 +02:00 (Migrated from github.com)

Hi,I build the demo with cuda10.2, cudnn7.6.5 and TensorRT-7.0.0.11 in nvidia 3080Ti,when i convert the yolov3 weights to rt , the error appear as follow:
budl
so i convert the weights in my 1080Ti ,it work well ,but when i copy the rt weight to 3080Ti, and run ./demo yolo3_fp16.rt ../demo/yolo_test.mp4 y
run

Hi,I build the demo with cuda10.2, cudnn7.6.5 and TensorRT-7.0.0.11 in nvidia 3080Ti,when i convert the yolov3 weights to rt , the error appear as follow: ![budl](https://user-images.githubusercontent.com/58289826/132812422-9c3996fc-11fe-45f7-9207-ab7bbf8c480f.jpg) so i convert the weights in my 1080Ti ,it work well ,but when i copy the rt weight to 3080Ti, and run ./demo yolo3_fp16.rt ../demo/yolo_test.mp4 y ![run](https://user-images.githubusercontent.com/58289826/132813530-023a0dcf-5081-41c8-a2b5-400a3d7f1133.jpg)
perseusdg commented 2021-09-10 09:06:15 +02:00 (Migrated from github.com)

I doubt a 3080ti supports cuda 10.2,you might want to try cuda 11.1 +
https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/

I doubt a 3080ti supports cuda 10.2,you might want to try cuda 11.1 + https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/
lswgh commented 2021-09-10 10:11:23 +02:00 (Migrated from github.com)

I doubt a 3080ti supports cuda 10.2,you might want to try cuda 11.1 +
https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/

thanks for you concern ,
i try to build the demo with tensort7.2 cuda11.2 cudnn8.1 and tensort8.0 cuda11.2 cudnn8.1 ,but failed ,

tensort8-cuda11

I doubt that TKDNN is not support cuda11.1 + .

> I doubt a 3080ti supports cuda 10.2,you might want to try cuda 11.1 + > https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/ thanks for you concern , i try to build the demo with tensort7.2 cuda11.2 cudnn8.1 and tensort8.0 cuda11.2 cudnn8.1 ,but failed , ![tensort8-cuda11](https://user-images.githubusercontent.com/58289826/132821537-565889d3-f3bd-465a-83fa-61e2c0c555f2.jpg) I doubt that TKDNN is not support cuda11.1 + .
perseusdg commented 2021-09-10 10:15:45 +02:00 (Migrated from github.com)

tkdnn doesnt support tensorrt 8+,i have used tkDNN tensorrt7.2+cuda11.1+ cudnn8.1.1 (if you want to use tensorrt 7.2 with cuda 11.2 you still need cuda 11.1 because nvrtc from cuda 11.1 is still a reuqirement of tensorrt 7.2) https://docs.nvidia.com/deeplearning/tensorrt/release-notes/tensorrt-7.html#rel_7-2-3

tkdnn doesnt support tensorrt 8+,i have used tkDNN tensorrt7.2+cuda11.1+ cudnn8.1.1 (if you want to use tensorrt 7.2 with cuda 11.2 you still need cuda 11.1 because nvrtc from cuda 11.1 is still a reuqirement of tensorrt 7.2) https://docs.nvidia.com/deeplearning/tensorrt/release-notes/tensorrt-7.html#rel_7-2-3
lswgh commented 2021-09-10 11:14:44 +02:00 (Migrated from github.com)

.2+
Thanks , when i build with tensorrt7.2 cuda11.1 cudnn8.1 , it works , but compare to the 1080Ti(900M for FP32) , the memory run on 3080Ti used more (about 2.9G for FP32 and 2.5G for FP16),

> .2+ Thanks , when i build with tensorrt7.2 cuda11.1 cudnn8.1 , it works , but compare to the 1080Ti(900M for FP32) , the memory run on 3080Ti used more (about 2.9G for FP32 and 2.5G for FP16),
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Reference: mmr/tkDNN#264