eix128
eix128
hmm , what about Qemu VM to test ?
Sorry this seems like fast TANH function
This seems fast sigmoid sigmoid = x / (2 * ((x < 0.0) * -x + (x >= 0.0) * x) + 2) + 0.5
Okay , but android runs on expensive cards. You can run microej on ESP32 microcontroller You can check out: https://developer.microej.com/create-your-first-application/get-started-app-development-on-espressif-esp32-wroverkit-v41/ You may try it without ESP32 chip on QEMU https://github.com/Ebiroll/qemu-xtensa-esp32
Maybe you can make Deeplearning4j lightweight version that is compatible with microej ? It would be good if you add something like that. So Java's WORA action will be success...
Maybe pure java ND4J solution may work. So DL4J size will decrease much ?
I fixed the issue with this URL steps: https://developercommunity.visualstudio.com/t/MSBuild-with-ClangCl-fails-to-compile-in/1390367
This time these errors appeared: Building BC object D:/repo/mcsema/remill/build/build64/lib/Arch/AArch32/Runtime/aarch32_BasicBlock.cpp.bc In file included from D:/repo/mcsema/remill/lib/Arch/AArch32/Runtime/BasicBlock.cpp:21: In file included from D:/repo/mcsema/remill/include\remill/Arch/AArch32/Runtime/State.h:23: D:/repo/mcsema/remill/include\remill/Arch/Runtime/Types.h(83,1): error GF0AE95B4: static_assert failed due to requirement '10
Need GPUUtils with the help of AMD Aparapi. Future is GPU its better to use AMD Aparapi for that. JavaCPP is very powerful and most promising JNI API its far...
Windows needs DirectShow for that i have some source code i can share with you