Dockerfile

# Base container that includes all dependencies but not the actual repo
# Updated from templates in the [softlearning (SAC) library](https://github.com/rail-berkeley/softlearning)

FROM nvidia/cudagl:11.4.2-base-ubuntu20.04 as base
# FROM nvidia/cuda:11.6.2-runtime-ubuntu20.04 as base
# ARCH and CUDA are specified again because the FROM directive resets ARGs
# (but their default value is retained if set previously)

SHELL ["/bin/bash", "-c"]


ENV DEBIAN_FRONTEND="noninteractive"
# See http://bugs.python.org/issue19846
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
ENV PATH /opt/conda/bin:$PATH

# install anaconda
RUN apt-get update --fix-missing && apt-get install -y wget bzip2 ca-certificates \
    libglib2.0-0 libxext6 libsm6 libxrender1 \
    git mercurial subversion
    

RUN apt-get install -y wget bzip2 ca-certificates git vim
RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
		build-essential \
		cmake \
        vim \
        ffmpeg \
        unzip swig libfreetype6-dev \
        libosmesa6-dev patchelf ffmpeg \
        freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev libglew1.6-dev mesa-utils

# Not sure what this is fixing
# COPY ./files/Xdummy /usr/local/bin/Xdummy
# RUN chmod +x /usr/local/bin/Xdummy
        
ENV PATH /opt/conda/bin:$PATH
RUN wget --quiet https://repo.anaconda.com/archive/Anaconda2-2019.10-Linux-x86_64.sh -O /tmp/miniconda.sh && \
    /bin/bash /tmp/miniconda.sh -b -p /opt/conda && \
    rm /tmp/miniconda.sh && \
    ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
    echo ". /opt/conda/etc/profile.d/conda.sh" >> /etc/bash.bashrc

RUN conda update -y --name base conda && conda clean --all -y

RUN conda create --name roble python=3.8 pip
RUN echo "source activate roble" >> ~/.bashrc
## Make it so you can install things to the correct version of pip
ENV PATH /opt/conda/envs/roble/bin:$PATH
RUN source activate roble

# make sure your domain is accepted and can be pulled from in the container
# RUN touch /root/.ssh/known_hosts
RUN mkdir /root/.ssh
RUN ssh-keyscan github.com >> /root/.ssh/known_hosts

## You can change this to a folder you prefer.
RUN mkdir /root/playground

RUN ls
## Install the requirements for your learning code.
COPY requirements.txt requirements.txt
RUN pip install -r requirements.txt

## Install pytorch and cuda
RUN pip install torch==1.10.1+cu111 torchvision==0.11.2+cu111 torchaudio==0.10.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html

# Check that the sime loads and pre-build mujoco in the docker image. Better to catch these errors here.
RUN python -c "import gym; env = gym.make('Ant-v2'); print(env)"
# COPY you code to the docker image here.
# e.g.
ADD conf conf
ADD hw1 hw1
ADD hw2 hw2
ADD hw3 hw3
ADD hw4 hw4
ADD hw5 hw5
ADD hw6 hw6
ADD tools tools
COPY run_hw1_bc.py run_hw1_bc.py
COPY run_hw2_mb.py run_hw2_mb.py
COPY run_hw3_ql.py run_hw3_ql.py
COPY run_hw4_gc.py run_hw4_gc.py
COPY run_hw5_expl.py run_hw5_expl.py
COPY run_hw6_sim2real.py run_hw6_sim2real.py

## Check the file were copied
RUN ls