Other architectures areFollowing the MacOS instructions on the wiki, I installed with conda. Unless you have already performed that step when installing Theano, you would have to add the script installation directory to the PATH environment variable.Linux, Mac OS X or Windows operating system We develop mainly on 64-bit Linux machines. If you install Fuel for the current user only (using -user), command-line utilities (for instance fuel-download and fuel-convert) will not be accessible from a terminal directly.If you are building on a Mac, make sure XCode and the XCode command line tools are installed. Theano is the deep-learning library PyMC3 uses to construct. PyMC3s variational API supports a number of cutting edge algorithms, as well as minibatch for scaling to large datasets. Variational inference saves computational cost by turning a problem of integration into one of optimization.
![]() Theano Mac OS X OrNote that the default version of blas is not optimized.Using an optimized version can give up to 10x speedups in the BLAS functions3) Install the ATLAS library. Then use the Theano flagsBlas.ldflags=-lblas. Under Ubuntu/DebianSudo apt-get install libblas-dev. If you have root or sudo access inFedora you can do sudo yum install blas blas-devel. Linking with BLAS2) You can install the default (reference) version of BLAS if the NumPy version(against which Theano links) does not work. You are on your own to install it.See the doc of that software and set the Theano flags blas.ldflagsCorrectly (for example, for MKL this might be -lmkl -lguide -lpthread or-lmkl_intel_lp64 -lmkl_intel_thread -lmkl_core -lguide -liomp5 -lmkl_mc -lpthread).The first thing you’ll need for Theano to use your GPU is Nvidia’sGPU-programming toolchain. Note that4) Use a faster version like MKL, GOTO. Then set theTheano flags blas.ldflags to -lf77blas -latlas -lgfortran. Under Ubuntu,Sudo apt-get install libatlas-base-dev libatlas-base orLibatlas3gf-sse2 if your CPU supports SSE2 instructions. On Fedora, sudo yum install atlas-devel. You can install a precompiled version on most OSes, but if you’re willingTo invest the time, you can compile it to have a faster version (we have seenSpeed-ups of up to 3x, especially on more recent computers, against thePrecompiled one). ![]() The advantages of MacPorts are theTransparency with which everything can be installed and the fact thatPackages are updated quite frequently. Provided by Xcode or Fink). It is a good idea to use either theMacPorts version of everything or some other set of compatible versions(e.g. Gcc willBe automatically installed (since it is a SciPy dependency), but beAware that it takes a long time to compile (hours)!Having NumPy and SciPy linked with ATLAS (an optimized BLASImplementation) is not mandatory, but recommended if you care aboutYou might have some different versions of gcc, SciPy, NumPy, Python installedOn your system, perhaps via Xcode. Free android emulator macFor instance, import scipy followed by print(scipy._version_) and print(scipy._path_)Should result in a version number of at least 0.7.0 and a path that startsWith /opt/local (the path where MacPorts installs its packages). Then execute for instance sudo port select gcc mp-gcc44To create a symlink that points to the correct (MacPorts) gcc (version 4.4At this point, if you have not done so already, it may be a good idea toClose and restart your terminal, to make sure all configuration changesAfterwards, please check that the scipy module that is imported inPython is the right one (and is a recent one). When executing sudo port select python python27-apple (which you should not do), the linkSimilarly, make sure that you are using the MacPorts-provided gcc:Use sudo port select gcc to see which gcc installs you have on theSystem. For instance, on MacOS X Lion with MacPorts 2.0.3,The output of which python is /opt/local/bin/python and this symbolicLink points to /opt/local/bin/python2.7. After performing this step, youShould check that the symbolic link provided by which python points toThe MacPorts python. TheReason this is necessary is because you may have an Apple-provided Python(via, for example, an Xcode installation).
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