How to build TensorFlow GPU from Source Code

Environment Date: 2018.11.28 OS: Ubuntu 18.04 Graphic Card: NVIDIA Geforce 2080ti Python: 3.6.7 NVIDIA Drive & Cuda 10.0 rm /etc/apt/sources.list.d/cuda*; apt remove nvidia-cuda-toolkit; apt remove nvidia-*; apt update; apt-key adv –fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub; bash -c ‘echo “deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /” > /etc/apt/sources.list.d/cuda.list’; apt update; apt install nvidia-driver-410; apt install cuda-10-0; [.bashrc] export PATH=/usr/local/cuda/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH nvcc -V; …

우분투(Ununtu)에서 텐서플로우(TensorFlow) GPU 설치(install) 방법

Environment Date: 2018.06.15 OS: Ubuntu 18.04 Graphic Card: NVIDIA Geforce 1070 TensorFlow version: 1.80 Graphics Driver # add-apt-repository ppa:graphics-drivers/ppa # apt update # apt install nvidia-390 # nvidia-smi CUDA 9.0 # dpkg -i cuda-repo-ubuntu1704-9-0-local_9.0.176-1_amd64.deb # apt-key add /var/cuda-repo-9-0-local/7fa2af80.pub # apt-get install cuda CUDA 9.0 Patch 1. Click the “Download” button. 2. Open with “Software Install …