ComPyle is itself pure Python but depends on numpy and requires either Cython
or PyOpenCL or PyCUDA along with the respective backends of a C/C++ compiler,
OpenCL and CUDA. If you are only going to execute code on a CPU then all you
need is Cython. The full list of requirements is shown in the
requirements.txt file on the repository.
You should be able to install ComPyle by doing:
$ pip install compyle
Note that when executing code on a CPU, you will need to have a C/C++ compiler that is compatible with your Python installation. In addition, if you need to use OpenMP you will need to make sure your compiler is compatible with that. Some additional information on this is included below.
Setting up on GNU/Linux¶
This is usually very simple, just installing the standard gcc/g++ packages ought to work. OpenMP is typically available but if it is not, it can be installed with (on apt-compatible systems):
$ sudo apt-get install libgomp1
Setting up on MacOS¶
Ensure that you have gcc or clang installed by installing XCode. See this if you installed XCode but can’t find clang or gcc.
OpenMP on MacOS¶
$ brew install gcc
Once this is done, you need to use this as your default compiler. The
formula on brew currently ships with gcc version 8. Therefore, you can
tell Python to use the GCC installed by brew by setting:
$ export CC=gcc-8 $ export CXX=g++-8
Note that you still do need to have the command-line-tools for XCode installed, otherwise the important header files are not available.
Setting up on Windows¶
Windows will work but you need to make sure you have the right compiler installed. See this page for the details of what you need installed.
OpenMP will work if you have this installed.