https://github.com/deeppavlov/stand_docker_base

https://github.com/deeppavlov/stand_docker_base

Last synced: 5 months ago
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• Host: GitHub
• URL: https://github.com/deeppavlov/stand_docker_base
• Owner: deeppavlov
• Created: 2018-05-03T17:38:02.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2019-03-04T11:46:37.000Z (over 7 years ago)
• Last Synced: 2025-07-05T19:39:04.760Z (about 1 year ago)
• Language: Dockerfile
• Size: 15.6 KB
• Stars: 1
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Base Dockerfile for the GPU based stand models

## Installation and build

1. Install Docker according the instructions:

   

   https://docs.docker.com/install/linux/docker-ce/ubuntu/

   

2. Install nVIDIA Docker according the instructions:

   https://github.com/NVIDIA/nvidia-docker

   

3. Clone the repo and `cd` to project root:

    ```

    git clone https://github.com/deepmipt/stand_docker_base.git

    cd stand_docker_base

    ```

4. Build base stand Docker images for each CUDA versions:

    ```

    sudo docker build -t stand/docker_cuda:8.0 cuda/cuda_8.0/

    sudo docker build -t stand/docker_deeppavlov:cuda-8.0 deeppavlov/cuda_8.0/

    sudo docker build -t stand/docker_cuda:9.0 cuda/cuda_9.0/

    sudo docker build -t stand/docker_deeppavlov:cuda-9.0 deeppavlov/cuda_9.0/

    ```

5. Build DeepPavlov Jupyter server Docker images:

    ```

    sudo docker build -t stand/docker_cuda:9.0 cuda/cuda_9.0/

    sudo docker build -t stand/docker_deeppavlov:cuda-9.0 deeppavlov/cuda_9.0/

    sudo docker build -t stand/docker_deeppavlov_jupyter:cuda-9.0 deeppavlov/cuda_9.0_jupyter/

    ```

    Run DeepPavlov Jupyter server:

    ```

    sudo docker run -p 8888:8888 stand/docker_deeppavlov_jupyter:cuda-9.0

    ```

# License

Apache 2.0 - licensed.