caffe-segnet
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How can I test SegNet architecture in new caffe version with Cuda 8?
Hi, I am new in DL. I tried to build SegNet caffe using CUDA 8 with GTX 1080 GPU card. But it seems not working, because of CUDA version mismatch. Even I can't use old CUDA version as GTX 1080 is only compatible with CUDA 8. I wonder, how can I test SegNet architecture in my existing caffe? Do you think, if I transfer all of your added files in another caffe, then it will work? Can you help please to figure out which files be needed to transfer? Thanks a lot!
I could compile caffe-segnet using CUDA 8. You need to build it without CUDNN.
Hello. Why not use cudnn? Why not add support cudnn in caffe-segnet?
@Maxfashko Do you know how to add cudnn support?
This is concerning for me, as well. I've built SegNet with CUDNN v3 instead of 5, and everything seems to work on the Quadro K4000 I have installed.
However, I'm now worried about upgrading my GPU to a GTX 1080. I'm not a CUDA expert; will I still be able to do this trick and compile SegNet with CUDNN v3?
@nathanin Hi, I have been trying to compile SegNet with CUDNN v3, but my caffe compilation fails.
identifier "cudnnActivationDescriptor_t" is undefined
I am not able to compile caffe-SegNet and BVLC-Caffe with any version of CUDNN( have tried v2,v3,v4,v5)
FYI I've added a note to the README.md
:
This version supports cudnn v2 acceleration. @TimoSaemann has a branch supporting a more recent version of Caffe (Dec 2016) with cudnn v5.1: https://github.com/TimoSaemann/caffe-segnet-cudnn5