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SetupDockerEnvs.md

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Setting up docker based Development environtments

Ubutnu-base

docker run -it -v <devel-dir>:/home/ankdesh  ankdesh-custom

Cuda with Display set

nvidia-docker run --rm --name tf-gpu -it -e DISPLAY=$DISPLAY  -v /tmp/.X11-unix:/tmp/.X11-unix -v /root/.Xauthority:/root/.Xauthority:rw -v /home/ankdesh/explore/:/home/ankdesh/explore  -v /home/ankdesh/virtualenvs:/home/ankdesh/virtualenvs -v /home/ankdesh/.ssh:/home/ankdesh/.ssh -p 8888:8888  ankdesh/tf-devel-gpu:latest

Tensorflow

nvidia-docker run --rm --name tf-gpu -it -v /home/ankdesh/explore/LearnTry:/notebooks  -p 8888:8888 -p 6006:6006 tf-latest-gpu-py3.4

Cuda-jupyter

nvidia-docker run --rm --name cuda8.gpu -it -v /home/ankdesh/explore/LearnTry:/notebooks  -v /home/ankdesh/installed/virtualenvs:/virtualenvs -p 8888:8888 cuda8.jupyter

Cuda bash with python-2.7 and python-3.4

nvidia-docker run --rm --name cuda8.bash -it -v /home/ankdesh/explore/kaggle-cdiscount/:/home/ankdesh/code  -v /home/ankdesh/installed/virtualenvs:/home/ankdesh/virtualenvs -v /media/ssd/datasets/cdiscount/:/home/ankdesh/dataset -p 8888:8888 ankdesh/cuda8.bash:latest