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AIcrowd
Challenges
CityLearn Challenge
citylearn-2023-starter-kit
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818a9f9a
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818a9f9a
authored
1 year ago
by
Dipam Chakraborty
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Add example Dockerfile
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818a9f9a
## This is an example Dokerfile you can change to make submissions on aicrowd
## To use it, place it in the base of the repo, and remove the underscore (_) from the filename
FROM nvidia/cuda:11.7.0-cudnn8-runtime-ubuntu18.04
ENV DEBIAN_FRONTEND=noninteractive
COPY apt.txt /tmp/apt.txt
RUN apt -qq update && apt -qq install -y --no-install-recommends `cat /tmp/apt.txt` \
&& rm -rf /var/cache/*
RUN apt install -y locales wget
# Unicode support:
RUN locale-gen en_US.UTF-8
ENV LANG en_US.UTF-8
ENV LANGUAGE en_US:en
ENV LC_ALL en_US.UTF-8
# Create user home directory - This is needed for aicrowd submissions
ENV USER_NAME aicrowd
ENV HOME_DIR /home/$USER_NAME
# Replace HOST_UID/HOST_GUID with your user / group id
ENV HOST_UID 1001
ENV HOST_GID 1001
# Use bash as default shell, rather than sh
ENV SHELL /bin/bash
# Set up user
RUN adduser --disabled-password \
--gecos "Default user" \
--uid ${HOST_UID} \
${USER_NAME}
USER ${USER_NAME}
WORKDIR ${HOME_DIR}
ENV CONDA_DIR ${HOME_DIR}/.conda
RUN wget -nv -O miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-py38_22.11.1-1-Linux-x86_64.sh \
&& bash miniconda.sh -b -p ${CONDA_DIR} \
&& . ${CONDA_DIR}/etc/profile.d/conda.sh \
&& conda clean -y -a \
&& rm -rf miniconda.sh
ENV PATH ${CONDA_DIR}/bin:${PATH}
RUN conda install cmake -y && conda clean -y -a
COPY --chown=1001:1001 requirements.txt ${HOME_DIR}/requirements.txt
RUN pip install -r requirements.txt --no-cache-dir
COPY --chown=1001:1001 . ${HOME_DIR}
## Add your custom commands below
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