Hi all,
I'm trying to use ARM NN SDK with Cortex-A53 and NEON.
So referenced this link and did whole things(clone repo, build with aarch64 toolchain)
(https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/configuring-the-arm-nn-sdk-build-environment-for-tensorflow)
But I faced an build error when ARM NN SDK build.
This is my error log when did 'make' after cmake
[ 58%] Linking CXX shared library libarmnn.so /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /usr/bin/ld: /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a(TensorInfo.o): Relocations in generic ELF (EM: 183) /home/soongk/Workspace/common/ML/ComputeLibrary/build/libarm_compute_core-static.a: error adding symbols: File in wrong format collect2: error: ld returned 1 exit status CMakeFiles/armnn.dir/build.make:3248: recipe for target 'libarmnn.so' failed make[2]: *** [libarmnn.so] Error 1 CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/armnn.dir/all' failed make[1]: *** [CMakeFiles/armnn.dir/all] Error 2 Makefile:127: recipe for target 'all' failed make: *** [all] Error 2 soongk:fserver12 build $
This error comes from libarmnn.so file link time with libarm_compute_core-static.a from ARM ComputeLibrary.
I tried with pre-built ComputeLibrary(https://github.com/ARM-software/ComputeLibrary/releases/download/v18.05/arm_compute-v18.05-bin-linux.tar.gz)
but it brings same error too.
How could I build ARM NN SDK?
Hi,
I've completed compile ARM NN now. So this could be my question's self-answer.
I tried to use aarch64 linux kernel so I refered ARM_NN for tensorflow.(https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/configuring-the-arm-nn-sdk-build-environment-for-tensorflow)
But I confused which libs compile for aarch64 but solved after read build_howto_for_Android (https://github.com/ARM-software/armnn/blob/master/BuildGuideAndroidNDK.md) with some fixes; toolchain, build directory and etc.
It's better guide than prev one because it describes which one to be cross-compiled.
Now I solved my problem. Thank you :)
Good work, glad you got it figured out. The first guide definitely needs more information.