The Offical Installation Guide has not mentioned any instruction about how to install MXNet on Fedora/RedHat/CentOS.
This is because some dependencies library names are different compared to Ubuntu/Debian.
I installed MXNet successfully on Fedora 23 and wrote the guide to help me remember the installation steps.
dnf install opencv-devel atlas-devel # make sure /usr/bin/ld can find these library cp /usr/lib64/atlas/* /lib64/
You may also need to install gcc, git and other build tools
2.change the compilation command
If you follow the Official Guide, you may get an error when doing ‘make’ files.
/usr/bin/ld: cannot find -lcblas
This is because names and content of atlas libraries have changed.
Names and content of atlas libraries have changed recently. Try
-L/usr/lib64/atlas -lsatlas or -L/usr/lib64/atlas -ltatlas
instead of -lcblas.
So, We need change the complication command from
mshadow/make/mshadow.mk, line 57
For me, I use
MSHADOW_LDFLAGS += -lsatlas
Then you can make files successfully.
4.Try Python version with CPU
I try using example/neural-style/run.py to draw a picture.
First, run download.sh to download the model and input files.
The script need import kitimage package.
pip install scikit-image
Install Python package as the guide mentioned.
I always install package system-widely, which requires root permission.
cd python; sudo python setup.py install export PYTHONPATH=~/mxnet/python
Finally, run command
python run.py --content-image input/1.jpg --style-image input/starry_night.jpg --gpu -1 ##using CPU
You can get a neural style image. I post the SDTOUT INFO at gist.