# Copyright (c) 2020 NVIDIA Corporation. All rights reserved. # To build the docker container, run: $ sudo docker build -t ai-science-cfd:latest --network=host . # To run: $ sudo docker run --rm -it --gpus=all -p 8888:8888 ai-science-cfd:latest # Finally, open http://127.0.0.1:8888/ # Select Base Image FROM nvcr.io/nvidia/tensorflow:21.05-tf2-py3 # Update the repo RUN apt-get update # Install required dependencies RUN apt-get install -y libsm6 libxext6 libxrender-dev git # Install required python packages RUN pip3 install opencv-python==4.1.2.30 pandas seaborn sklearn matplotlib scikit-fmm tqdm h5py gdown # TO COPY the data COPY English/ /workspace/ #COPY English/python/jupyter_notebook/CFD /workspace/CFD/ #COPY English/python/jupyter_notebook/Intro_to_DL /workspace/Intro_to_DL/ #COPY English/Start_Here.ipynb /workspace/ # Make a directory for Data RUN mkdir /workspace/python/jupyter_notebook/CFD/data # Copy the Python file for downloading dataset #COPY English/python/source_code/dataset.py /workspace/ # This Installs All the Dataset #RUN python3 /workspace/dataset.py RUN python3 /workspace/python/source_code/dataset.py ## Uncomment this line to run Jupyter notebook by default #CMD jupyter notebook --ip 0.0.0.0 --port 8888 --allow-root CMD jupyter notebook --no-browser --allow-root --ip=0.0.0.0 --port=8888 --NotebookApp.token="" --notebook-dir=/workspace/python/jupyter_notebook/