| [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/XNNPACK.dir/src/qs8-gavgpool/gen/7p7x-minmax-neon-c8-acc2.c.o /home/pi/work/tflite_build/xnnpack/src/qs8-gavgpool/gen/7x-minmax-neon-c16-acc2.c: In function ‘xnn_qs8_gavgpool_minmax_ukernel_7x__neon_c16_acc2’: /home/pi/work/tflite_build/xnnpack/src/qs8-gavgpool/gen/7x-minmax-neon-c16-acc2.c:174:5: note: use -flax-vector-conversions to permit conversions between vectors with differing element types or numbers of subparts int8x16_t vout0123456789ABCDEF = vcombine_s16(vqmovn_s16(vacc01234567), vqmovn_s16(vacc89ABCDEF)); ^~~~~~~~~ /home/pi/work/tflite_build/xnnpack/src/qs8-gavgpool/gen/7x-minmax-neon-c16-acc2.c:174:51: error: incompatible type for argument 1 of ‘vcombine_s16’ int8x16_t vout0123456789ABCDEF = vcombine_s16(vqmovn_s16(vacc01234567), vqmovn_s16(vacc89ABCDEF)); |
[링크 : https://www.gitmemory.com/issue/tensorflow/tensorflow/47536/809003416]
DNN을 빼고 해보면 된다는데
| $ cmake ../tensorflow/tensorflow/lite -DTFLITE_ENABLE_GPU=ON -DTFLITE_ENABLE_XNNPACK=OFF |
안되잖아!?!
| [ 41%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/api.cc.o In file included from /home/pi/work/tensorflow/tensorflow/lite/delegates/gpu/common/util.h:19, from /home/pi/work/tensorflow/tensorflow/lite/delegates/gpu/api.h:45, from /home/pi/work/tensorflow/tensorflow/lite/delegates/gpu/api.cc:16: /home/pi/work/tensorflow/tensorflow/lite/delegates/gpu/common/types.h:23:10: fatal error: fp16.h: No such file or directory #include <fp16.h> ^~~~~~~~ compilation terminated. make[2]: *** [CMakeFiles/tensorflow-lite.dir/build.make:188: CMakeFiles/tensorflow-lite.dir/delegates/gpu/api.cc.o] Error 1 make[2]: *** Waiting for unfinished jobs.... make[1]: *** [CMakeFiles/Makefile2:1751: CMakeFiles/tensorflow-lite.dir/all] Error 2 make: *** [Makefile:156: all] Error 2 |
+
| ARMCC_FLAGS="-march=armv7-a -mfpu=neon-vfpv4 -funsafe-math-optimizations" cmake -DCMAKE_C_COMPILER=${ARMCC_PREFIX}gcc \ -DCMAKE_CXX_COMPILER=${ARMCC_PREFIX}g++ \ -DCMAKE_C_FLAGS="${ARMCC_FLAGS}" \ -DCMAKE_CXX_FLAGS="${ARMCC_FLAGS}" \ -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON \ -DCMAKE_SYSTEM_NAME=Linux \ -DCMAKE_SYSTEM_PROCESSOR=armv7 \ -DTFLITE_ENABLE_GPU=ON -DTFLITE_ENABLE_XNNPACK=OFF \ ../tensorflow/tensorflow/lite |
아래는 크로스컴파일 하는 예
| $ curl -LO https://storage.googleapis.com/mirror.tensorflow.org/developer.arm.com/media/Files/downloads/gnu-a/8.3-2019.03/binrel/gcc-arm-8.3-2019.03-x86_64-arm-linux-gnueabihf.tar.xz $ mkdir -p ${HOME}/toolchains $ tar xvf gcc-arm-8.3-2019.03-x86_64-arm-linux-gnueabihf.tar.xz -C ${HOME}/toolchains $ ARMCC_FLAGS="-march=armv7-a -mfpu=neon-vfpv4 -funsafe-math-optimizations" ARMCC_PREFIX=${HOME}/toolchains/gcc-arm-8.3-2019.03-x86_64-arm-linux-gnueabihf/bin/arm-linux-gnueabihf- cmake -DCMAKE_C_COMPILER=${ARMCC_PREFIX}gcc \ -DCMAKE_CXX_COMPILER=${ARMCC_PREFIX}g++ \ -DCMAKE_C_FLAGS="${ARMCC_FLAGS}" \ -DCMAKE_CXX_FLAGS="${ARMCC_FLAGS}" \ -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON \ -DCMAKE_SYSTEM_NAME=Linux \ -DCMAKE_SYSTEM_PROCESSOR=armv7 \ ../tensorflow/lite/ |
[링크 : https://www.tensorflow.org/lite/guide/build_cmake_arm]
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