Add docker file (#1)

* add docker file

* empty commit

* add clone dds to dockerfile

* git clone python-dds

* make libdds.so

docker/Dockerfile

@@ -0,0 +1,36 @@
+FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04
+
+WORKDIR /workspace
+RUN chmod -R a+w /workspace
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+         cmake \
+         curl \
+         build-essential \
+         less \
+         screen \
+         vim \
+         git \
+         htop \
+         wget \
+         jq \
+         tree \
+         libboost-all-dev
+
+RUN curl -o miniconda.sh -O  https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh  && \
+     chmod +x miniconda.sh && \
+     ./miniconda.sh -b -p /opt/conda && rm miniconda.sh && \
+     /opt/conda/bin/conda install -y numpy pyyaml scipy pandas ipython mkl mkl-include && \
+     /opt/conda/bin/conda install pytorch=1.2.0 torchvision cudatoolkit=10.0 -c pytorch && \
+     /opt/conda/bin/conda clean -ya
+ENV PATH /opt/conda/bin:$PATH
+
+RUN cd / && git clone https://github.com/dds-bridge/dds && cd /dds && git checkout 9c554cc
+RUN cd /dds/src && cp Makefiles/Makefile_linux_shared ./Makefile && make
+
+RUN cd / && git clone https://github.com/Afwas/python-dds && mv /python-dds /python_dds && cd /python_dds && git checkout 653dbd5
+RUN cp /dds/src/libdds.so /usr/lib/libdds.so
+
+RUN pip install kiwisolver matplotlib numpy tqdm
+
+

docker/build.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+USER_NAME=$1
+VERSION=0.0.1
+
+if [ -z ${USER_NAME} ]; then
+	echo "Please specify docker hub user name"
+    exit 1
+fi
+
+docker build -t ${USER_NAME}/bridge_bidding_env:v${VERSION} .