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| -rw-r--r-- | README.md | 40 | ||||
| -rw-r--r-- | README.txt | 40 |
2 files changed, 63 insertions, 17 deletions
@@ -19,33 +19,55 @@ See the MATLAB and Python code samples in samples/ and on http://sf.net/projects ### Windows, binary -Add the mex and tools subdirectories to your MATLAB path and the Python module to your Python path.. +Add the mex and tools subdirectories to your MATLAB path, or copy +the Python astra module to your Python site-packages directory. ### Linux, from source -Requirements: g++, boost, CUDA (driver+toolkit), Matlab and/or Python (2.7 or 3.x) +#### For Matlab + +Requirements: g++, boost, CUDA (5.5 or higher), Matlab (R2012a or higher) ``` cd build/linux ./autogen.sh # when building a git version ./configure --with-cuda=/usr/local/cuda \ --with-matlab=/usr/local/MATLAB/R2012a \ - --with-python \ - --prefix=/usr/local/astra + --prefix=$HOME/astra \ + --with-install-type=module make make install ``` -Add /usr/local/astra/lib to your LD_LIBRARY_PATH. -Add /usr/local/astra/matlab and its subdirectories (tools, mex) - to your matlab path. -Add /usr/local/astra/python to your PYTHONPATH. +Add $HOME/astra/matlab and its subdirectories (tools, mex) to your matlab path. + +If you want to build the Octave interface instead of the Matlab interface, +specify --enable-octave instead of --with-matlab=... . The Octave files +will be installed into $HOME/astra/octave . NB: Each matlab version only supports a specific range of g++ versions. Despite this, if you have a newer g++ and if you get errors related to missing GLIBCXX_3.4.xx symbols, it is often possible to work around this requirement by deleting the version of libstdc++ supplied by matlab in -MATLAB_PATH/bin/glnx86 or MATLAB_PATH/bin/glnxa64 (at your own risk). +MATLAB_PATH/bin/glnx86 or MATLAB_PATH/bin/glnxa64 (at your own risk), +or setting LD_PRELOAD=/usr/lib64/libstdc++.so.6 (or similar) when starting +matlab. + +#### For Python + +Requirements: g++, boost, CUDA (5.5 or higher), Python (2.7 or 3.x) + +``` +cd build/linux +./autogen.sh # when building a git version +./configure --with-cuda=/usr/local/cuda \ + --with-python \ + --with-install-type=module +make +make install +``` + +This will install Astra into your current Python environment. ### Windows, from source using Visual Studio 2008 @@ -50,27 +50,51 @@ to your Python path. Linux, from source: -------------------- -Requirements: g++, boost, CUDA (driver+toolkit), Matlab and/or Python (2.7 or 3.x) +For Matlab: + +Requirements: g++, boost, CUDA (5.5 or higher), Matlab (R2012a or higher) cd build/linux ./autogen.sh # when building a git version ./configure --with-cuda=/usr/local/cuda \ --with-matlab=/usr/local/MATLAB/R2012a \ - --with-python \ - --prefix=/usr/local/astra + --prefix=$HOME/astra \ + --with-install-type=module make make install -Add /usr/local/astra/lib to your LD_LIBRARY_PATH. -Add /usr/local/astra/matlab and its subdirectories (tools, mex) - to your matlab path. -Add /usr/local/astra/python to your PYTHONPATH. + +Add $HOME/astra/matlab and its subdirectories (tools, mex) to your matlab path. + +If you want to build the Octave interface instead of the Matlab interface, +specify --enable-octave instead of --with-matlab=... . The Octave files +will be installed into $HOME/astra/octave . NB: Each matlab version only supports a specific range of g++ versions. Despite this, if you have a newer g++ and if you get errors related to missing GLIBCXX_3.4.xx symbols, it is often possible to work around this requirement by deleting the version of libstdc++ supplied by matlab in -MATLAB_PATH/bin/glnx86 or MATLAB_PATH/bin/glnxa64 (at your own risk). +MATLAB_PATH/bin/glnx86 or MATLAB_PATH/bin/glnxa64 (at your own risk), +or setting LD_PRELOAD=/usr/lib64/libstdc++.so.6 (or similar) when starting +matlab. + + +For Python: + +Requirements: g++, boost, CUDA (5.5 or higher), Python (2.7 or 3.x) + +cd build/linux +./autogen.sh # when building a git version +./configure --with-cuda=/usr/local/cuda \ + --with-python \ + --with-install-type=module +make +make install + +This will install Astra into your current Python environment. + + + Windows, from source using Visual Studio 2008: |