Dockerfile 1.0 KB

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  1. # Copyright (c) 2020 NVIDIA Corporation. All rights reserved.
  2. # To build the docker container, run: $ sudo docker build -t ai-science-climate:latest --network=host .
  3. # To run: $ sudo docker run --rm -it --gpus=all --network=host -p 8888:8888 ai-science-climate:latest
  4. # Finally, open http://127.0.0.1:8888/
  5. # Select Base Image
  6. FROM nvcr.io/nvidia/tensorflow:20.01-tf2-py3
  7. # Update the repo
  8. RUN apt-get update -y
  9. # Install required dependencies
  10. RUN apt-get install -y libsm6 libxext6 libxrender-dev git nvidia-modprobe
  11. # Install required python packages
  12. RUN pip3 install opencv-python==4.1.2.30 pandas seaborn sklearn matplotlib scikit-fmm tqdm h5py gdown
  13. ##### TODO - From the Final Repo Changing this
  14. # TO COPY the data
  15. COPY English/ /workspace/
  16. # This Installs All the Dataset
  17. RUN python3 /workspace/python/source_code/dataset.py
  18. ## Uncomment this line to run Jupyter notebook by default
  19. CMD jupyter notebook --no-browser --allow-root --ip=0.0.0.0 --port=8888 --NotebookApp.token="" --notebook-dir=/workspace/python/jupyter_notebook/