Linux, Mac OS X or Windows operating system We develop mainly on 64-bit Linux machines. 32-bit architectures are not well-tested. >= 2.4 The development package ( python-dev or python-devel on most Linux distributions) is recommended (see just below).

I was trying to install the bleeding edge version of theano in my mac. The OS is Yosemite. I was able to do the installation till 'cd Theano' step. But the next step 'python setup.py develop' did not work. I was not able to understand the step and the others that followed and would be really grateful if you could guide me soon. The official home of the Python Programming Language. While Javascript is not essential for this website, your interaction with the content will be limited.

G++, python-dev Not technically required but highly recommended, in order to compile generated C code. Theano can fall back on a NumPy-based Python execution model, but a C compiler allows for vastly faster execution. G++ >= 4.2 (for openmp that is currently always used) more recent version recommended! >= 1.5.0 Earlier versions could work, but we don’t test it. Only currently required for sparse matrix and special functions support, but highly recommended. We recommend SciPy >=0.8 if you are using sparse matrices, because scipy.sparse is buggy in 0.6 (the scipy.csc_matrix version of dot() has a bug with singleton dimensions, there may be more bugs) and we do not run tests with 0.7.

A installation (with Level 3 functionality) Including the development headers ( -dev, -devel, depending on your Linux distribution). Mac OS X comes with the built in, and various options exist for Windows (see below). The following libraries and software are optional. Pip install Theano --install-option = '--prefix=~/.local' e.g. Using --install-option='--prefix=~/.local' on Python 2.4 would install Theano into.local/lib/python2.4/site-packages inside your home directory on Mac OS X or Unix/Linux (this site-packages directory must be listed in your PYTHONPATH environment variable; for Python 2.6 and later, ~/.local is automatically searched and does not need to be explicitly included in PYTHONPATH, see for instructions). You can change ~/.local, but you need to change your PYTHONPATH as said above.

Alternatively you can use to create an isolated site-packages directory; see the for details. Sudo pip install --upgrade theano If you installed NumPy/SciPy with yum/apt-get, updating NumPy/SciPy with pip/easy_install is not always a good idea. This can make Theano crash due to problems with BLAS (but see below).

The versions of NumPy/SciPy in the distribution are sometimes linked against faster versions of BLAS. Installing NumPy/SciPy with yum/apt-get/pip/easy_install won’t install the development package needed to recompile it with the fast version. This mean that if you don’t install the development packages manually, when you recompile the updated NumPy/SciPy, it will compile with the slower version. This results in a slower Theano as well. To fix the crash, you can clear the Theano cache like this.

Cd Theano python setup.py develop This will install a.pth file in your site-packages directory that tells Python where to look for your Theano installation (i.e. In the directory your just checked out of Github). Using develop mode is preferable to install as any modifications you make in the checkout directory (or changes you pull with Git) will be automatically reflected in the “installed” version without re-running python setup.py install. If you do not have permission to modify your site-packages directory you can specify an alternative installation prefix using.

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Python setup.py develop --prefix =~/.local A common choice is ~/.local which is automatically searched for Python >= 2.6; for earlier Python versions and other installation prefixes, the prefix specified must contain lib/pythonA.B/site-packages, where A.B is e.g. 2.5, and this site-packages directory must be listed in PYTHONPATH.