Loading docker-compose.yml 0 → 100644 +24 −0 Original line number Diff line number Diff line # https://pallawi-ds.medium.com/tensorflow-gpu-jupyterlab-docker-container-how-to-access-files-using-jupyter-lab-on-localhost-ba4ff281e4a4 # https://kyumdoctor.co.kr/18 version: '3.3' services: jupyter-gpu: container_name: jupyter-gpu ports: - '29999:9999' volumes: - '${PWD}/tf:/tf' - '${PWD}/home:/home' image: 'tensorflow/tensorflow:latest-gpu' # user: 1000:1000 command: tail -f /dev/null restart: always # command: jupyterhub --ip 0.0.0.0 --port 9999 # runtime: nvidia deploy: resources: reservations: devices: - driver: nvidia count: all capabilities: [gpu] Loading
docker-compose.yml 0 → 100644 +24 −0 Original line number Diff line number Diff line # https://pallawi-ds.medium.com/tensorflow-gpu-jupyterlab-docker-container-how-to-access-files-using-jupyter-lab-on-localhost-ba4ff281e4a4 # https://kyumdoctor.co.kr/18 version: '3.3' services: jupyter-gpu: container_name: jupyter-gpu ports: - '29999:9999' volumes: - '${PWD}/tf:/tf' - '${PWD}/home:/home' image: 'tensorflow/tensorflow:latest-gpu' # user: 1000:1000 command: tail -f /dev/null restart: always # command: jupyterhub --ip 0.0.0.0 --port 9999 # runtime: nvidia deploy: resources: reservations: devices: - driver: nvidia count: all capabilities: [gpu]