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Save lukeyeager/ba948f1d56e4ab407874 to your computer and use it in GitHub Desktop.
# nvidia-docker run -ti nvidia/cuda:7.0-devel-centos7 | |
yum update | |
yum install epel-release | |
yum install gcc gcc-c++ git vim python-devel python-pip make cmake \ | |
blas-devel lapack-devel openblas-devel \ | |
protobuf-devel leveldb-devel snappy-devel opencv-devel boost-devel hdf5-devel gflags-devel glog-devel lmdb-devel libjpeg-devel libpng-devel | |
# Too old: | |
# yum install Cython scipy python-matplotlib | |
yum install numpy python-pandas python-imaging protobuf-python h5py | |
yum-builddep python-matplotlib | |
cd ~ | |
git clone https://github.com/NVIDIA/caffe.git | |
cd caffe | |
cat python/requirements.txt | xargs -n1 pip install | |
mkdir build | |
cd build | |
cmake .. -DBLAS=Open | |
make -j12 | |
# DIGITS | |
yum install python-gevent python-flask python-flask-wtf | |
cd ~ | |
git clone https://github.com/NVIDIA/digits.git | |
cd digits | |
cat requirements.txt | xargs -n1 pip install | |
export CAFFE_HOME=~/caffe | |
./digits-devserver |
darn i lost my hacks. for sure the declaration issues are in these files:
find /root/caffe -type f -exec grep -l UINT8_MAX {} ; | & tee found_unit.log
/root/caffe/include/caffe/layers/detectnet_transform_layer.hpp
/root/caffe/src/caffe/layers/detectnet_transform_layer.cpp
/root/caffe/src/caffe/layers/detectnet_transform_layer.cu
I'll try to redo them.... if you can get it before i do please let me know.
thanks
Elliot
Luke, here are my proposed changes to the Centos 7 installation. Please be so kind as to review and advise. If you agree, I would like to see these fixes or whatever you think is better into the mainstream code.
still trying to figure out how the pull request mechanism works, so here is the link in the meantime:
https://github.com/elliotekoch/Fixes-for-Digits-installation-on-Centos-7
Thanks,
Elliot
Found a couple of errors when I installed this. With some minor intermediate edits installation does go okay. here are the errors i get...
incorrect declarations:
[ 31%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/euclidean_loss_layer.cpp.o
In file included from /root/caffe/src/caffe/layers/detectnet_transform_layer.cpp:3:0:
/root/caffe/include/caffe/layers/detectnet_transform_layer.hpp: In member function 'bool caffe::AugmentSelection::doDesaturation() const':
/root/caffe/include/caffe/layers/detectnet_transform_layer.hpp:38:64: error: 'UINT8_MAX' was not declared in this scope
bool doDesaturation() const { return saturation < (1.0 - 1.0/UINT8_MAX); }
^
[ 33%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/exp_layer.cpp.o
/root/caffe/src/caffe/layers/detectnet_transform_layer.cpp: In member function 'void caffe::DetectNetTransformationLayer::retrieveMeanImage(cv::Size)':
/root/caffe/src/caffe/layers/detectnet_transform_layer.cpp:86:23: error: 'UINT8_MAX' was not declared in this scope
data_mean_ /= Dtype(UINT8_MAX);
^
/root/caffe/src/caffe/layers/detectnet_transform_layer.cpp: In member function 'void caffe::DetectNetTransformationLayer::retrieveMeanChannels()':
/root/caffe/src/caffe/layers/detectnet_transform_layer.cpp:94:56: error: 'UINT8_MAX' was not declared in this scope
mean_values_.fill(t_param_.mean_value(0) / Dtype(UINT8_MAX));
^
/root/caffe/src/caffe/layers/detectnet_transform_layer.cpp: In member function 'caffe::DetectNetTransformationLayer::Mat3v caffe::DetectNetTransformationLayer::transform_image_cpu(const Mat3v&, const caffe::AugmentSelection&)':
/root/caffe/src/caffe/layers/detectnet_transform_layer.cpp:420:33: error: 'UINT8_MAX' was not declared in this scope
Mat3v img = src_img.clone() / UINT8_MAX;
^
[ 33%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/filter_layer.cpp.o
Fails for existing directories during clone process:
The procedure cannot do the cloning if /root/caffe and /root/digits already exist. My hack was to remove those directories before the cloning steps. But i need to comment out the cloning in order to do the hacks to fix the step 1 above....