OS/Raspberry Pi
Raspberry Pi 4 : TensorFlow 2.2.0 (armv7l) 설치 (Python 3.7)
파란크리스마스
2020. 5. 8. 01:04
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출처
리눅스 정보 확인
CPU 정보 확인
$ cat /proc/cpuinfo processor : 0 model name : ARMv7 Processor rev 3 (v7l) BogoMIPS : 108.00 Features : half thumb fastmult vfp edsp neon vfpv3 tls vfpv4 idiva idivt vfpd32 lpae evtstrm crc32 CPU implementer : 0x41 CPU architecture: 7 CPU variant : 0x0 CPU part : 0xd08 CPU revision : 3 ... 생략 ... Hardware : BCM2835 Revision : b03112 Serial : 10000000xxxxxxxx Model : Raspberry Pi 4 Model B Rev 1.2
instruction set architecture (ISA)
$ uname -m armv7l
커널에 대한 정보
$ uname -a Linux raspberrypi 4.19.97-v7l+ #1294 SMP Thu Jan 30 13:21:14 GMT 2020 armv7l GNU/Linux
OS버전에 대한 정보
$ cat /etc/issue Raspbian GNU/Linux 10 \n \l
논리 코어 수 확인
$ grep -c processor /proc/cpuinfo 4
메모리, swap 사이즈 확인
$ free -h total used free shared buff/cache available Mem: 1.9Gi 145Mi 1.0Gi 42Mi 751Mi 1.6Gi Swap: 99Mi 0B 99Mi
관련 라이브러리 설치, pip3 설치 확인
$ sudo apt update $ sudo apt install gfortran libopenblas-dev liblapack-dev libhdf5-dev $ pip3 --version pip 18.1 from /usr/lib/python3/dist-packages/pip (python 3.7)
TensorFlow 2.2.0 패키지 설치
TensorFlow 2.2.0 패키지 다운로드
$ wget http://1.229.109.140:3562/tensorflow/tensorflow-2.2.0.armv7l/tensorflow-2.2.0-cp37-none-linux_armv7l.whl
tensorflow 2.2.0 파이썬 페키지 설치
$ pip3 install tensorflow-2.2.0-cp37-none-linux_armv7l.whl ... 생략 ... Successfully installed absl-py-0.9.0 astunparse-1.6.3 cachetools-4.1.0 gast-0.3.3 google-auth-1.14.2 google-auth-oauthlib-0.4.1 google-pasta-0.2.0 grpcio-1.28.1 h5py-2.10.0 keras-preprocessing-1.1.0 markdown-3.2.1 opt-einsum-3.2.1 protobuf-3.11.3 pyasn1-0.4.8 pyasn1-modules-0.2.8 rsa-4.0 scipy-1.4.1 setuptools-46.1.3 tensorboard-2.2.1 tensorboard-plugin-wit-1.6.0.post3 tensorflow-2.2.0 tensorflow-estimator-2.2.0 termcolor-1.1.0 wrapt-1.12.1
버전 확인
$ python3 Python 3.7.3 (default, Dec 20 2019, 18:57:59) [GCC 8.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow as tf >>> tf.__version__ '2.2.0'