Dominik Thoennes authored 3 years ago and Christoph Schwarzmeier committed 3 years ago

instead of the custom walberla_add_module the `add_library` command is now used for all folders in `src` to create libraries which can then be used as cmake targets

Otherwise vectorization will fail

This reverts merge request !370

Added warning if no SIMD instruction could be determined, adapted field layouts in all tests and benchmarks

use cuda as a first level language in CMake with `enable_language(CUDA)`
enable tests where cuda and codegen are both activated
various minor fixes

for bulk modes, shear modes, even ghost modes, odd ghost modes

This new function does the actual generation using pystencils and creates a target library that can be used as a dependency as usual. One should not list the python script itself anymore in add_executable.
Convention: Use the AppName as a prefix for the generated lib!

Example Usage:

waLBerla_generate_target_from_python( NAME AppNameGeneratedLib FILE GenerateKernel.py OUT_FILES Kernel.h Kernel.cpp)

waLBerla_add_executable ( NAME AppNameGeneratedLibTest DEPENDS GeneratedLib)