#INSTALL THEANO FOR MAC INSTALL#

Using an optimized version can give up to 10x speedups in the BLAS functionsģ) Install the ATLAS library. Note that the default version of blas is not optimized. Then use the Theano flagsīlas.ldflags=-lblas. If you have root or sudo access inįedora you can do sudo yum install blas blas-devel. (against which Theano links) does not work. linking with BLASĢ) You can install the default (reference) version of BLAS if the NumPy version Theano code performs, this might slow some things down (vs. Depending on the kind of matrix operations your This, set the value of blas.ldflags as the empty string (ex: export THEANO_FLAGS=blas.ldflags=).

ATLAS is compiled by default only as aġ) Disable the usage of BLAS and fall back on NumPy for dot products. This does not work in the case NumPy wasĬompiled with a static library (e.g. Here are some different way to configure BLAS:Ġ) Do nothing and use the default config, which is to link against the sameīLAS against which NumPy was built. # other stuff can go here ldflags = -lf77blas -latlas -lgfortran #put your flags here # other stuff can go hereįor more information on the formatting of ~/.theanorc and theĬonfiguration options that you can put there, see config – Theano Configuration. The following libraries and software are optional:

#INSTALL THEANO FOR MAC MAC OS X#

Mac OS X comes with the Accelerateįramework built in, and various options exist for Windows (see A BLAS installation (with Level 3 functionality) Including the development headers ( -dev, -devel, depending on SciPy >=0.8 could work,īut earlier versions have known bugs with sparse matrices.

SciPy >= 0.11 Only currently required for sparse matrix and special functions More recent version recommended! NumPy >= 1.7.1 Earlier versions could work, but we don’t test it. G++ >= 4.2 (for openmp that is currently always used) Model, but a C compiler allows for vastly faster execution. Theano can fall back on a NumPy-based Python execution g++ (Linux and Windows), clang (macOS), python-dev (All platforms) Not technically required but highly recommended, in order to compile Python 3 is supported past the 3.3 release. Python 2.4 was supported up to and including the release 0.6.

On most Linux distributions) is recommended (see just below). Python 2 >= 2.6 or Python 3 >= 3.3 The development package ( python-dev or python-devel Linux, Mac OS X or Windows operating system We develop mainly on 64-bit Linux machines.

Install theano for mac