If you don’t use -fPIC, later on when installing glog, it will complain with For example, # CMAKE_CXX_FLAGS:STRING='-Os -w -pipe -march=core2 ' # becomes # CMAKE_CXX_FLAGS:STRING='-Os -w -pipe -march=core2 -fPIC' $ cmake. # Now use you favorite editor to make the following change by appending -fPIC # option to CMAKE_CXX_FLAGS:STRING in the CMakeCache.txt file. # create CMakeCache.txt $ cmake -DCMAKE_INSTALL_PREFIX:PATH =~/.linuxbrew/Cellar/gflags/2.1.2. Mkdir -p ~/.linuxbrew/Cellar/gflags/2.1.2 # In the interactive mode, this is what I did # pwd would be something like $ pwd # In the interactive mode, a sandbox is created by linuxbrew with relevant # environment variables setup. Glog because gflags is a dependency of glog,Īnd its installation needs some tweaking in interactive mode. This is an easy one, and I didn’t encounter any issue with it.
#Caffe anaconda distribution install#
Next protobuf, $ brew install -dv protobuf The result command is $ brew install -dv opencv -without-eigen -without-openexr -without-numpy
Itself, so I disable all the recommended (using –without-something) and Since here what we care is mainly to install caffe, not OpenCV Tried the same process on different hosts, sometimes the recommended packagesĪlso cause headaches because they require further dependencies which may or may Optional: gstreamer ✘, jasper ✘, libdc1394 ✘, openni ✘, qt ✘, tbb ✘, ffmpeg ✘īased on info, you could see OpenCV has quite a number of dependencies. Recommended: eigen ✘, openexr ✘, homebrew/python/numpy ✘ home/zyxue/.linuxbrew_parallel/Cellar/opencv/2.4.11_1 (223 files, 33M ) *īuilt from source with: -without-numpy, -without-eigen, -without-openexr # This is the info after I have installed OpenCV, yours is probably DIFFERENT. Here I assumed the one with -mt, which means multiple-threading by the way,Īnd the one without it are the same, partially based on # you need to relink boost, and you should see the two additional files linked # from the output of linuxbrew $ brew unlink boost & brew link boost $ ln -s libboost_thread-mt.so libboost_thread.so $ ln -s libboost_thread-mt.a libboost_thread.a Libboost-thread-mt.so available, and caffe will complain later. Installed by linuxbrew only have libboost-thread-mt.a and Here is a tricky one, compiling caffe needs -lboost-thread, but the boost Piece of speed-critical software, I think it would be worth looking into it. Optimization problem would affect caffe’s performance, but since caffe is a Seek for a openblas already installed by system admin. Optimization problem, you may want to look closer to see why it complains or If the above command complains about gfortran OpenBLAS is available in linuxbrew, so try # -dv means debug mode and verbose $ brew install -dv openblas Then we start installing the first package, BLAS. Here on, I assume you’ve successfully installed linuxbrew and anaconda.įirst, let’s get linuxbrew up-to-date. Let’s begin to follow the instructions on the But if you have never installed packages and managed dependencies Try to avoid installing packages mannually, it’s not fun and costs a lot of.So there won’t be mention on matlab related packages To be installed already since it needs root permission, but that’s the only
Simple variation from the steps described below. The CPU mode is easier, and should be easily accomplished with Here, I’d like to share my experience of installing the popular deep learning
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