Loading PyTorch model using BinaryData

[reuk]

Thanks for trying out JUCE 6 and the new CMake support!

@nintoracaudio

After adding this line and running cmake -B build/ -GUnix\ Makefiles -DCMAKE_PREFIX_PATH=libtorch suddenly takes over 10G of memory to complete, where as previously it was much less than that. Is that normal?

That sounds unusual, but it’s difficult to say where the issue may lie. Is there a particular line of output before the memory spike?

@nintoracaudio

Attempting to load the binary using auto* tmp = BinaryData::NeuralDX7_jit; results in the compilation error /usr/bin/ld: libNeuralDX7Model.a(BinaryData1.cpp.o): relocation R_X86_64_PC32 against symbol '_ZN10BinaryData13NeuralDX7_jitE' can not be used when making a shared object; recompile with -fPIC . I tried cmake --build build -j7 -- -fPIC but it didn’t work.

CMake binary data targets don’t have PIC enabled by default. If you know you’ll be using a particular binary data target in a plugin, add the following to your cmakelists after adding the binary data target:

set_target_properties(my_binary_data PROPERTIES # replace target name
    POSITION_INDEPENDENT_CODE TRUE)