The rendering device is now set in User Preferences > System, where you can
choose between OpenCL/CUDA and devices. Per scene you can then still choose
to use CPU or GPU rendering.
Load balancing still needs to be improved, now it just splits the entire
render in two, that will be done in a separate commit.
- rename 'bcycles' --> '_cycles', since this is the python convention when a py module uses a C module internally.
- use macros for returning None
- make with_osl an attribute rather then a function.
- changes methods METH_VARARGS --> METH_O when single args are used.
* OpenCL now only uses GPU/Accelerator devices, it's only confusing if CPU
device is used, easy to enable in the code for debugging.
* OpenCL kernel binaries are now cached for faster startup after the first
time compiling.
* CUDA kernels can now be compiled and cached at runtime if the CUDA toolkit
is installed. This means that even if the build does not have CUDA enabled,
it's still possible to use it as long as you install the toolkit.
* add some (disabled) test code for using OpenImageIO in imbuf
* link cycles, openimageio and boost into blender instead of a shared library
* some cmakefile changes to simplify the code and follow conventions better
* this may solve running cycles problems on windows XP, or give a different
and hopefully more useful error message