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Compatibility: OS X 10.10 or later 64bit
Homepage: https://gopanel.io
Warning
If you want to install the bleeding-edge or development version of Theanofrom GitHub, please make sure you are reading the latest version of thispage.
There are various ways to install Theano dependencies on a Mac. Herewe describe the process in detail with Anaconda, Homebrew or MacPortsbut if you did it differently and it worked, please let us know thedetails on the theano-users mailing-list, so that we can addalternative instructions here.
Requirements¶
Gopanel 1.0.3 For Macos Mac
Note
We only support the installation of the requirements through conda.
Gopanel 1.0.3 For Macos Windows 7
- Recommended: MKL, which is free through Conda with
mkl-service
package. - Alternatively, we suggest to install OpenBLAS, with the development headers (
-dev
,-devel
, depending on your Linux distribution).
Optional requirements
clang
(the system version)- Highly recommended. Theano can fall back on a NumPy-based Python execution model, but a C compiler allows for vastly faster execution.
- nose >= 1.3.0
- Recommended, to run Theano’s test-suite.
- Sphinx >= 0.5.1, pygments
- For building the documentation. LaTeX and dvipng are also necessary for math to show up as images.
- pydot-ng
- To handle large picture for gif/images.
- NVIDIA CUDA drivers and SDK
- Highly recommended Required for GPU code generation/execution on NVIDIA gpus. See instruction below.
- libgpuarray
- Required for GPU/CPU code generation on CUDA and OpenCL devices (see: GpuArray Backend).
- pycuda and skcuda
- Required for some extra operations on the GPU like fft andsolvers. We use them to wrap cufft and cusolver. Quick install
pipinstallpycudascikit-cuda
. For cuda 8, the devversion of skcuda (will be released as 0.5.2) is needed forcusolver:pipinstallpycuda;pipinstallgit+https://github.com/lebedov/scikit-cuda.git#egg=scikit-cuda
. - warp-ctc
- Required for Theano CTC implementation. It is faster then using anequivalent graph of Theano ops.
Requirements installation through Conda (recommended)¶
Install Miniconda¶
Follow this link to install Miniconda.
Note
If you want fast compiled code (recommended), make sure you have
Clang
installed.Install requirements and optional packages¶
- Arguments between <.> are optional.
Package
parameterized
is also optional but may be required for unit testing. It is available via pip
.![Gopanel 1.0.3 for macos windows 7 Gopanel 1.0.3 for macos windows 7](https://insmac.org/uploads/posts/2017-10/1507661421_gopanel_03.jpg)
Install and configure the GPU drivers (recommended)¶
- Install CUDA drivers
- Follow this linkto install the CUDA driver and the CUDA Toolkit.
- You must reboot the computer after the driver installation.
- Test that it was loaded correctly after the reboot, executing thecommand nvidia-smi from the command line.
NoteSanity check: The bin subfolder should contain an nvccprogram. This folder is called the cuda root directory. - Fix ‘lib’ path
- Add the CUDA ‘lib’ subdirectory (and/or ‘lib64’ subdirectory if you have a64-bit OS) to your
$LD_LIBRARY_PATH
environmentvariable. Example:/usr/local/cuda/lib64
- Add the CUDA ‘lib’ subdirectory (and/or ‘lib64’ subdirectory if you have a64-bit OS) to your
Attention
For MacOS you should be able to follow the above instructions tosetup CUDA, but be aware of the following caveats:
- If you want to compile the CUDA SDK code, you may need to temporarilyrevert back to Apple’s gcc (
sudoportselectgcc
) as their Makefilesare not compatible with MacPort’s gcc. - If CUDA seems unable to find a CUDA-capable GPU, you may need to manuallytoggle your GPU on, which can be done withgfxCardStatus.
Attention
Theano officially supports only clang on OS X. This can be installedby getting XCode from the App Store and running it once to install thecommand-line tools.
Installation¶
Stable Installation¶
With conda
¶
If you use conda, you can directly install both theano and pygpu. Libgpuarraywill be automatically installed as a dependency of pygpu.
Warning
Latest conda packages for theano (
>=0.9
) and pygpu (>=0.6*
) currently don’t supportPython 3.4 branch.With pip
¶
If you use pip, you have to install Theano and libgpuarray separately.
Gopanel 1.0.3 For Macos Download
theano¶
Install the latest stable version of Theano with:
- Any argument between <.> is optional.
- Use sudo for a root installation.
- Use user for a user installation without admin rights. It will install Theano in your local site-packages.
- [test] will install the requirements for testing.
- [doc] will install the requirements in order to generate the documentation.
If you encountered any trouble, head to the Troubleshooting page.
The latest stable version of Theano is
1.0.1
(tagged with rel-1.0.1
).libgpuarray¶
Download it with:
and then follow the Step-by-step instructions.
Bleeding-Edge Installation (recommended)¶
Install the latest, bleeding-edge, development version of Theano with:
- Any argument between <.> is optional.
- Use sudo for a root installation.
- Use user for a user installation without admin rights. It will install Theano in your local site-packages.
- Use no-deps when you don’t want the dependencies of Theano to be installed through pip. This is important when they have already been installed as system packages.
If you encountered any trouble, head to the Troubleshooting page.
libgpuarray¶
Install the latest, development version of libgpuarray following theStep-by-step instructions.
Note
Currently, you need
libgpuarray
version 0.7.X
that is not in conda default channel.But you can install it with our own channel mila-udem
(that only supports Python 2.7, 3.5 and 3.6):Developer Installation¶
Winrar 64 bits crack. Igo8 software. Install the developer version of Theano with:
- Any argument between <.> is optional.
- Use sudo for a root installation.
- Use user for a user installation without admin rights. It will install Theano in your local site-packages.
- Use no-deps when you don’t want the dependencies of Theano to be installed through pip. This is important when they have already been installed as system packages.
- -e makes your installation editable, i.e., it links it to yoursource directory.
If you encountered any trouble, head to the Troubleshooting page.
libgpuarray¶
See instructions for bleeding-edge installation about
libgpuarray
.Requirements through Homebrew (not recommended)¶
Install python with homebrew:
This will install pip. Then use pip to install numpy, scipy:
If you want to use openblas instead of Accelerate, you have to installnumpy and scipy with hombrew:
Requirements through MacPorts (not recommended)¶
Using MacPorts to install all requiredTheano dependencies is easy, but be aware that it will take a long time(a few hours) to build and install everything.
- MacPorts requires installing XCode first (which can be found in theMac App Store), if you do not have it already.If you can’t install it from the App Store, look in your MacOS X installationDVD for an old version. Then update your Mac to update XCode.
- Download and install MacPorts, thenensure its package list is up-to-date with
sudoportselfupdate
. - Then, in order to install one or more of the required libraries, use
portinstall
, e.g. as follows:This will install all the required Theano dependencies. 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 aboutperformance. - You might have some different versions of gcc, SciPy, NumPy, Python installedon your system, perhaps via Xcode. It is a good idea to use either theMacPorts version of everything or some other set of compatible versions(e.g. provided by Xcode or Fink). The advantages of MacPorts are thetransparency with which everything can be installed and the fact thatpackages are updated quite frequently. The following steps describe how tomake sure you are using the MacPorts version of these packages.
- In order to use the MacPorts version of Python, you will probablyneed to explicitly select it with
sudoportselectpythonpython27
. Thereason this is necessary is because you may have an Apple-provided Python(via, for example, an Xcode installation). After performing this step, youshould check that the symbolic link provided bywhichpython
points tothe MacPorts python. For instance, on MacOS X Lion with MacPorts 2.0.3,the output ofwhichpython
is/opt/local/bin/python
and this symboliclink points to/opt/local/bin/python2.7
. When executingsudoportselectpythonpython27-apple
(which you should not do), the linkpoints to/usr/bin/python2.7
. - Similarly, make sure that you are using the MacPorts-provided gcc:use
sudoportselectgcc
to see which gcc installs you have on thesystem. Then execute for instancesudoportselectgccmp-gcc44
to create a symlink that points to the correct (MacPorts) gcc (version 4.4in this case). - At 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 changesare properly taken into account.
- Afterwards, please check that the
scipy
module that is imported inPython is the right one (and is a recent one). For instance,importscipy
followed byprintscipy.__version__
andprintscipy.__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). If thisis not the case, then you might have some old installation ofscipy
in yourPYTHONPATH
so you should editPYTHONPATH
accordingly. - Please follow the same procedure with
numpy
. - This is covered in the MacPorts installation process, but make sure thatyour
PATH
environment variable contains/opt/local/bin
and/opt/local/sbin
before any other paths (to ensure that the Python andgcc binaries that you installed with MacPorts are visible first). - MacPorts does not create automatically
nosetests
andpip
symlinkspointing to the MacPorts version, so you can add them yourself with