paperspace && tensorbox recipe

gistfile1.txt

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
   $(lsb_release -cs) \
   stable"
   
apt-get update && apt-get remove docker docker-engine docker.io -y

apt-get install \
    linux-image-extra-$(uname -r) \
    linux-image-extra-virtual  -y
    apt-transport-https \
    ca-certificates \
    curl \
    software-properties-common \
    apt-get install nvidia-384 nvidia-modprobe && apt-get install docker-ce  -y

wget -P /tmp https://github.com/NVIDIA/nvidia-docker/releases/download/v1.0.1/nvidia-docker_1.0.1-1_amd64.deb
sudo dpkg -i /tmp/nvidia-docker*.deb

reboot...

# Does not start automatically :(

nvidia-docker-plugin &

# nvidia-docker run --rm nvidia/cuda nvidia-smi


git clone https://github.com/dgtlmoon/TensorBox.git /tmp/box
nvidia-docker run -dit -p 6006:6006 -p 8888:8888 -v /tmp/box/:/box tensorflow/tensorflow:latest-gpu

apt-get install wget parallel imagemagick -y

# get data
cd /tmp/box && ./download_data.sh


docker exec -it `docker ps --format '{{.Names}}'` bash
apt-get update && apt-get install wget python-opencv parallel imagemagick -y
cd /box
cd utils && make && cd ..
exit

screen docker exec -it `docker ps --format '{{.Names}}'` bash -c 'cd /box;  time python train.py --hypes hypes/tss_overfeat_rezoom.json --gpu 0 --logdir output'


# ctrl+a then d to detach
# screen -list
# screen -r


 #tensor board
 
# in docker, in a new terminal
docker exec -it `docker ps --format '{{.Names}}'` bash -c 'tensorboard --logdir /box/output'

ssh -L 6006:172.17.0.2:6006 paperspace@184.105.6.197