unitchains/tensorflow repository overview

⁠README

If you use linux and nvidia-card and installed nvidia-driver, you can run tensorflow-gpu

another case i don't know.. Sorry

tensorflow-gpu==1.14.0 / CUDA == 10.0 / pycharm / vim

⁠First. download docker and nvidia-docker

if anyone want to easily create this container, please refer to this code =>

nvidia-docker create -it -v [host_shared_directory]:[docker-container_shared_directory] -v /run/user/1000:/run/user/1000 -v /dev:/dev -v /tmp/.X11-unix:/tmp/.X11-unix:ro --privileged --ipc=host --shm-size=256m --network=host -e DISPLAY=$DISPLAY -e XDG_RUNTIME_DIR=/run/user/1000 --name [ContainerNAME] [imageID] /bin/bash

⁠Second. put this code in terminal

if anyone want to use pycharm put this code. =>

$ xhost +local:

This code can share host gui at docker

⁠Third. pycharm

If anyone want to use pycharm, put this code

$ cd /

$ ./pycharm.sh