Working Theano configs

Here are the Theano configurations that I have tested and worked.
These were tested on Windows 10 64-Bit, and Windows 7 64-Bit.
(I will update when I test on other OS's and setups)

With GPU support, on CUDA and cuDNN

In order to allow Theano to use the GPU, you need to be on a machine with a supported Nvidia GPU, and have the CUDA toolkit and cuDNN setup. I will cover how to setup CUDA on a different post.

 [global]  
 floatX = float32  
 device = gpu  
   
 [nvcc]  
 flags=-LC:\Users\Thimira\Anaconda3  
 compiler_bindir=C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\bin  
   
 [dnn]  
 enabled = True  
   
 [lib]  
 cnmem=0.75  
   
 [blas]   
 ldflags=-LC:\Dev_Tools\openblas\bin -lopenblas  

device = gpu tells Theano to use the GPU instead of the CPU.
flags=-LC:\Users\Thimira\Anaconda3 point this to your Python installation (I'm using Anaconda Python)
compiler_bindir=C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\bin point this to the bin dir of your Visual Studio installation (Note: CUDA only worked with Visual Studio 2013 for me)
[dnn] enabled = True this enables cuDNN
cnmem=0.75 set the memory limit Theano can use of the GPU. Here it's set to 75% of the GPU memory
ldflags=-LC:\Dev_Tools\openblas\bin -lopenblas point to your OpenBLAS installation. Refer to my earlier post Getting Theano working with OpenBLAS on Windows

With only CPU support

Since not everyone have a compatible Nvidia GPU to have CUDA.

 [global]  
 floatX = float32  
 device = cpu  
   
 [blas]  
 ldflags=-LC:\Dev_Tools\openblas\bin -lopenblas  

device = cpu tells Theano to use the CPU.
ldflags=-LC:\Dev_Tools\openblas\bin -lopenblas point to your OpenBLAS installation. Refer to my earlier post Getting Theano working with OpenBLAS on Windows

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Getting Theano working with OpenBLAS on Windows

I wanted to try out Machine Learning with Python, so my first choice was Keras with Theano.

Got Theano installed from Git (to get the latest development version):

 pip install --upgrade --no-deps git+git://github.com/Theano/Theano.git  

Then, I needed to setup Theano with OpenBLAS (otherwise, training Keras models was painfully slow).
Since I was on Windows, I had to look around for instructions on how to setup OpenBLAS properly.

Luckily, OpenBLAS provides binaries for Windows - both 32Bit and 64Bit - although, they may not be for the latest version of OpenBLAS.

Head over to https://sourceforge.net/projects/openblas/files/ and see which release has the binaries already built for Windows. We need both OpenBLAS and MinGW binaries.

At the time of this writing the latest version of OpenBLAS was v0.2.19, which unfortunately doesn't have the Windows binaries released.

But, going back a few releases, we find that the release v0.2.15 includes the binaries - OpenBLAS-v0.2.15-Win64-int32.zip and mingw64_dll.zip.

Download both of the Zip files, and first extract the OpenBLAS Zip to a globally accessible location on your hard disk. (I would suggest a location such as C:\Dev_Tools\openblas\).
Then, extract the mingw Zip, and copy it's contents to the bin directory of your extracted OpenBLAS directory. e.g. If you extracted OpenBLAS to C:\Dev_Tools\openblas\, then copy the contents (3 DLL files) of mingw to C:\Dev_Tools\openblas\bin\.
i.e.: The extracted openblas\bin will have the libopenblas.dll in it. When you extract mingw, it will have 3 more DLLs - libgcc_s_seh-1.dll, libgfortran-3.dll, libquadmath-0.dll. Copy those to openblas\bin also.

Then, add the openblas\bin directory to your system path.

Finally, edit (or create) your .theanorc file with the following settings: (assuming you extracted OpenBLAS to C:\Dev_Tools\openblas\)
Note: If you don't already have a .theanorc file, create a file named .theanorc in the home directory of your user account, e.g. C:\Users\<your user>\.theanorc

 [global]  
 floatX = float32  
 device = cpu  
   
 [blas]  
 ldflags=-LC:\Dev_Tools\openblas\bin -lopenblas  

Now, run your Keras/Theano program and see whether Theano picks up OpenBLAS.


Related Links:
http://www.openblas.net/

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