Replicating the docker environment

[limhoyeon]

Replicating the docker environment

[limhoyeon]

It is my dockerfile that I wrote for challenge docker environment. So, It maybe different from current codes and files in this git repository. Im sorry but plz modify this docker file for your use case. Thanks.

FROM pytorch/pytorch:1.7.1-cuda11.0-cudnn8-devel
#RUN apt-get update && apt-get install wget
#RUN wget https://developer.download.nvidia.com/compute/cuda/repos/$distro/$arch/cuda-#keyring_1.0-1_all.deb

#RUN dpkg -i cuda-keyring_1.0-1_all.deb

#RUN rm /etc/apt/sources.list.d/cuda.list && rm /etc/apt/sources.list.d/nvidia-ml.list && \
RUN mv /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/cuda.list.temp && mv /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/nvidia-ml.list.temp
RUN apt-get update && apt-get install ffmpeg libsm6 libxext6  -y
RUN mv /etc/apt/sources.list.d/cuda.list.temp /etc/apt/sources.list.d/cuda.list && mv /etc/apt/sources.list.d/nvidia-ml.list.temp /etc/apt/sources.list.d/nvidia-ml.list

RUN groupadd -r algorithm && useradd -m --no-log-init -r -g algorithm algorithm

RUN mkdir -p /opt/algorithm /input /output \
    && chown algorithm:algorithm /opt/algorithm /input /output

#USER algorithm

WORKDIR /opt/algorithm

ENV PATH="/home/algorithm/.local/bin:${PATH}"

#RUN python -m pip install --user -U pip


RUN pip install wandb && \
pip install trimesh==3.10.2 && \
pip install --ignore-installed PyYAML && \
pip install open3d && \
pip install multimethod && \
pip install termcolor

#COPY --chown=algorithm:algorithm tsegnet/* /opt/algorithm/
ADD tsegnet /opt/algorithm
RUN TORCH_CUDA_ARCH_LIST=All
RUN cd testmodel/lib/pointops && python setup.py install && cd ../../..
RUN cd openpoints/cpp/chamfer_dist && python setup.py install && cd ../emd && python setup.py install && cd ../pointnet2_batch && python setup.py install && cd ../subsampling && python setup.py install && cd ../../..
#RUN python -m pip install --user -rrequirements.txt
RUN pip install easydict
USER algorithm

ENTRYPOINT python -m process $0 $@
#ENTRYPOINT python -m eval_test $0 $@

[M-Alsouqi]

Thank you for sharing.

I managed to modify it for my use case!