Run jupyter in nvidia-docker

cp xxx/Dockerfile work_dir/Dockerfile

docker build -t gntv:jptr .

# check port available
netstat -na | grep :888

#
nvidia-docker run -it -v ~/sg_user_data/azamat:/data -v /shdstorage/storage/mailru/:/shdstorage/mailru -p "8882:8882" azamat-tf:jptr

# deeppavlov (?)
nvidia-docker run -it --cpus=20 -v ~/sg_user_data/azamat/ner_deeppavlov:/data -v /mnt/ess_storage/DN_1/storage:/ess_storage -v /shdstorage/storage/automall/:/shdstorage/automall -p "8889:8889" azamat-dp:jptr

# vehicle orientation classifier
nvidia-docker run -it --cpus=20 -v ~/sg_user_data/gntv/tsCompression:/notebooks -v /mnt/ess_storage/DN_1/storage:/ess_storage -v /shdstorage/storage/automall/:/shdstorage/automall -p "8888:8888" azamat-dp:jptr

nvidia-docker run -it --cpus=20 -v /raid/sg_user_data/gntv/notebooks:/notebooks -v /mnt/ess_storage/DN_1/storage:/ess_storage -v /shdstorage/storage/automall/:/shdstorage/automall -p "8888:8888" gntv:jptr

nohup jupyter notebook --ip=0.0.0.0 --no-browser --allow-root --port=8888 &

Ctrl+P + Ctrl+Q

# print containers
docker ps -a

# run my conteiner
docker exec -it b2056b7e1b8b bash

nvidia-docker run -it \
        -v /raid/sg_user_data:/sg_user_data \
        -d \
         ubuntu:20.04 /bin/bash