I'm building my own audio plugin framework for Android (if you remember we once talked about ChowPhaser port a few years ago), and today I got BYOD working. Though the performance is horrible, as I have to patch xsimd in RTNeural to disable the optimized versions of exp and exp10 operations that do not compile.
But I figured that chowdsp_simd also uses xsimd and it just compiles. The only reason RTNeural does not compile is that it references somewhat older version of xsimd. I have updated xsimd to the latest locally, but that caused another build breakage due to removal of xsimd/stl/algorithms.hpp so I made some additional changes (just replaced xsimd::transform() and xsimd::reduce() to those in std:: namespace) and it seems to work, in much better performance.
I'll be forking RTNeural and sending a PR to fix the issue, but I think the change makes it depend on C++20 part of std::transform and std::reduce. If it is not acceptable, I'll keep using my own fork.
I'm building my own audio plugin framework for Android (if you remember we once talked about ChowPhaser port a few years ago), and today I got BYOD working. Though the performance is horrible, as I have to patch xsimd in RTNeural to disable the optimized versions of
expandexp10operations that do not compile.But I figured that
chowdsp_simdalso uses xsimd and it just compiles. The only reason RTNeural does not compile is that it references somewhat older version of xsimd. I have updated xsimd to the latest locally, but that caused another build breakage due to removal ofxsimd/stl/algorithms.hppso I made some additional changes (just replacedxsimd::transform()andxsimd::reduce()to those instd::namespace) and it seems to work, in much better performance.I'll be forking RTNeural and sending a PR to fix the issue, but I think the change makes it depend on C++20 part of
std::transformandstd::reduce. If it is not acceptable, I'll keep using my own fork.