init_drlnd

[NamWoo]

• DRLND - python 3.6
  • requirements.txt
• OpenAI gym - Python 3.7, 3.8, 3.9

docker pull nvcr.io/nvidia/tensorflow:20.11-tf1-py3

--gpus all

[NamWoo]

docker run \
--name my_drlnd \
-e GRANT_SUDO=yes \
-e JUPYTER_ENABLE_LAB=yes \
--user root \
--gpus all \
-p 8800:8888 \
-v ~/mydata:/data \
-d \
-it \
--rm \
nvcr.io/nvidia/tensorflow:20.11-tf1-py3

• https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/user-guide.html
• https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893
• https://github.com/NVIDIA/nvidia-docker
• https://wooono.tistory.com/320
• https://www.daleseo.com/docker-volumes-bind-mounts/
• https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/running.html#running
• https://github.com/jupyter/docker-stacks

[NamWoo]

• https://docs.microsoft.com/ko-kr/azure/machine-learning/how-to-extend-prebuilt-docker-image-inference

[NamWoo]

https://biology-statistics-programming.tistory.com/115

docker run \
--name my_drlnd \
-e GRANT_SUDO=yes \
-e JUPYTER_ENABLE_LAB=yes \
--user root \
--gpus all \
-p 8800:8888 \
-p 6006:6006 \
-v ~/mydata:/data \
-d \
-it \
--ip 0.0.0.0 \
--rm \
nvcr.io/nvidia/tensorflow:20.11-tf1-py3 \
jupyter notebook --allow-root --no-browser --NotebookApp.token=''

docker0: http://172.17.0.1:8800/

[NamWoo]

#https://github.com/ShangtongZhang/reinforcement-learning-an-introduction

jupyter notebook --allow-root --no-browser --ip=0.0.0.0 --port=8880 --NotebookApp.token=''