BPI-M4 : TensorFlow 2.1.0 (aarch64) - C, C++ 라이브러리 설치

출처

• 텐서플로우 C 예제 - HiSEON
• 대소니 :: Tensorflow version 확인
• libstdc++.so.6: version `GLIBCXX_3.4.22' not found · Issue #13 · lhelontra/tensorflow-on-arm

리눅스 정보 확인

CPU 정보 확인

$ cat /proc/cpuinfo
processor       : 0
BogoMIPS        : 54.00
Features        : fp asimd evtstrm aes pmull sha1 sha2 crc32
CPU implementer : 0x41
CPU architecture: 8
CPU variant     : 0x0
CPU part        : 0xd03
CPU revision    : 4
 
processor       : 1
BogoMIPS        : 54.00
Features        : fp asimd evtstrm aes pmull sha1 sha2 crc32
CPU implementer : 0x41
CPU architecture: 8
CPU variant     : 0x0
CPU part        : 0xd03
CPU revision    : 4
 
processor       : 2
BogoMIPS        : 54.00
Features        : fp asimd evtstrm aes pmull sha1 sha2 crc32
CPU implementer : 0x41
CPU architecture: 8
CPU variant     : 0x0
CPU part        : 0xd03
CPU revision    : 4
 
processor       : 3
BogoMIPS        : 54.00
Features        : fp asimd evtstrm aes pmull sha1 sha2 crc32
CPU implementer : 0x41
CPU architecture: 8
CPU variant     : 0x0
CPU part        : 0xd03
CPU revision    : 4

instruction set architecture (ISA)

$ uname -i
aarch64

커널에 대한 정보

$ uname -a
Linux bpi-iot-ros-ai 4.9.119-BPI-M4-Kernel #6 SMP PREEMPT Tue Jun 18 10:49:05 CST 2019 aarch64 aarch64 aarch64 GNU/Linux

OS버전에 대한 정보

$ cat /etc/issue
Ubuntu 16.04.5 LTS \n \l

논리 코어 수 확인

$ grep -c processor /proc/cpuinfo
4

TensorFlow C, C++ 라이브러리 설치

TensorFlow 라이브러리 다운로드

$ wget http://1.229.109.140:3562/tensorflow/tensorflow-2.1.0.aarch64/libtensorflow.tar.gz

TensorFlow 라이브러리 설치

$ sudo tar -C /usr/local -xzf libtensorflow.tar.gz

Linker 설정

$ sudo ldconfig

예제 hello.c

#include <stdio.h>
#include <tensorflow/c/c_api.h>

int main() {
  printf("TensorFlow C library version %s\n", TF_Version());
  return 0;
}

예제 컴파일

$ gcc hello.c -ltensorflow -o hello

예제 실행

$ ./hello
TensorFlow C library version 2.1.0