castorgmc/mg-dl-env repository overview

⁠MG DeepLearning GPU Image

• CUDA 10.2 with CUDNN included
• Python 3.8.3
• Numpy
• Tensorflow 2.0
• Pytorch
• Jupyter Book

⁠Repository Details

⁠Run command

docker run --gpus all --shm-size 64G -v /<YOUR_SRC_DATA_FOLDER>/:/<DEST_FOLDER> -e JUPYTER_DIR='/DEST_FOLDER' -dt --name 'mg-dl' -p 2000:8888 -p 6006:6006 castorgmc/mg-dl-env

⁠Jupyter Token

By default, token is test

⁠Useful Commands

docker system prune -f
docker exec -it fuseki /bin/bash
docker build -t test .
az acr repository list --name mgdockerhub --output table