Open kaishijeng opened 7 years ago
This repo is intended for minimal dependency, enabling GPU is somehow against this goal. If you would like to use GPU, use python version instead please. If mxnet release building with cuda in amalgamation in the future, I will re-consider this problem again.
how fast mxnet-ssd.cpp detection object in image(eg.VOC2007) without GPU? thanks for your work very much!
Depending on the model/cpu/compilation mode, the run time significantly varies.
VGG16 model + 2.5GHz single thread with OPENMP disabled = 6s / image
I just wonder have you built this with GPU enabled? The demo instruction has the flag --gpu=INT. But when I run this, I got a error "D:\Dev\Projects\mxnet\dmlc-core\include\dmlc/logging.h:235: [19:14:50] D:\Dev\Projects\mxnet\src\storage\storage.cc:50: Please compile with CUDA enabled"
But I didn't see any place to enable compiling with CUDA enabled.
I have installed CUDA8.0 with cudnn v5.1 on Win10. NVIDIA Samples run well.
@feiyang-nottingham the author alreally said: the repo don't support gpu
I don't see a flag to enable GPU in the install.sh. Do you know how to enable it?
Thanks,