adding mrgpu dockers files

mrgpu_scripts/Dockerfile.conda

+FROM continuumio/anaconda
+RUN conda create -n env python=3.6
+RUN echo "source activate env" > ~/.bashrc
+ENV PATH /opt/conda/envs/env/bin:$PATH

mrgpu_scripts/Dockerfile.pome

+FROM continuumio/anaconda3
+
+RUN pip install sklearn
+
+RUN pip install pandas
+
+RUN pip install nibabel
+
+RUN /opt/conda/bin/conda install ipython -y
+
+RUN pip install jupyter
+
+RUN pip install h5py
+
+RUN pip install graphviz
+
+RUN pip install pydot
+
+RUN pip install keras
+
+RUN pip install matplotlib
+
+RUN pip install seaborn
+
+RUN opt/conda/bin/conda install pomegranate -y
+
+RUN opt/conda/bin/conda install -c anaconda pygraphviz -y
+
+RUN apt-get install xdg-utils --fix-missing -y
+
+RUN useradd m145916 -u 7111

mrgpu_scripts/Dockerfile.yoga.mrgpu

+FROM  nvidia/cuda:9.0-cudnn7-runtime-ubuntu16.04
+
+RUN apt update && apt -y upgrade && apt upgrade && apt install -y sudo vim curl bzip2
+
+RUN curl -O https://repo.continuum.io/archive/Anaconda3-5.2.0-Linux-x86_64.sh 
+
+RUN bash ./Anaconda3-5.2.0-Linux-x86_64.sh  -bp /opt/conda
+
+RUN touch ~/.bashrc && echo "export PATH=${PATH}:/opt/conda/bin" >> ~/.bashrc
+
+RUN rm ./Anaconda3-5.2.0-Linux-x86_64.sh 
+
+RUN /bin/bash -c "source ~/.bashrc"
+
+RUN /opt/conda/bin/conda install pomegranate -y
+
+RUN /opt/conda/bin/conda create -n tensorflow -y python=3.6
+
+RUN [ "/bin/bash", "-c", "source /opt/conda/bin/activate tensorflow"]
+
+RUN /opt/conda/bin/conda install -c conda-forge nibabel -y
+
+RUN apt update
+
+RUN apt install -y python3-pip
+
+RUN echo "source activate tensorflow" >> ~/.bashrc
+ENV PATH /opt/conda/envs/tensorflow/bin:$PATH
+
+RUN pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.12.0-cp36-cp36m-linux_x86_64.whl
+
+RUN pip install sklearn
+
+RUN pip install pandas
+
+RUN pip install nibabel
+
+RUN apt install -y git-core
+
+RUN apt install -y protobuf-compiler
+
+RUN /opt/conda/bin/conda install ipython -y
+
+RUN pip install jupyter
+
+RUN pip install h5py
+
+RUN pip install graphviz
+
+RUN pip install pydot
+
+RUN pip install keras
+
+RUN pip install matplotlib
+
+RUN pip install seaborn
+
+RUN useradd m145916 -u 7111
+# USER 7111
+# WORKDIR /home/m14591/TF
+
+RUN echo "export PYTHONPATH=/home/m145916/TF/tf_slim_models/research/slim/" >> ~/.bashrc
+
+# COPY ./docker-entrypoint.sh /
+# ENTRYPOINT ["/docker-entrypoint.sh"]
+

mrgpu_scripts/DockerfileMatlab.yoga.mrgpu

+FROM  continuumio/anaconda
+
+RUN conda create -n jmatlab -y python=3.6 jupyter
+
+RUN apt update
+
+RUN apt install -y python3-pip --fix-missing
+
+RUN echo "source activate jmatlab" >> ~/.bashrc
+ENV PATH /opt/conda/envs/jmatlab/bin:$PATH
+
+RUN pip install matlab_kernel
+
+# CMD ["python -m", "matlab_kernel", "install"]
+
+# WORKDIR /app
+
+# COPY /usr/local/MATLAB/R2018a/ /app
+
+# WORKDIR /app/R2018a/extern/engines/python/
+
+# CMD ["python", "setup.py", 'install"]
+
+RUN useradd m145916 -u 7111
+

mrgpu_scripts/compile.sh

+#!/bin/bash
+
+docker build -t theesan16/tf:mrgpu_yoga -f Dockerfile.yoga.mrgpu .
+docker push theesan16/tf:mrgpu_yoga
+

mrgpu_scripts/compile_jmatlab.sh

+#!/bin/bash
+
+docker build -t theesan16/matlab:mrnx02_yoga -f DockerfileMatlab.yoga.mrgpu .
+docker push theesan16/matlab:mrnx02_yoga
+

mrgpu_scripts/compile_pome.sh

+#!/bin/bash
+
+docker build -t theesan16/gen:pome_yoga -f Dockerfile.pome .
+docker push theesan16/gen:pome_yoga
+

mrgpu_scripts/docker-entrypoint.sh

+#!/bin/bash
+
+echo "export PATH=${PATH}:/opt/conda/bin" >> ~/.bashrc
+
+echo "export PYTHONPATH=/home/m145916/TF/tf_slim_models/research/slim/" >> ~/.bashrc
+
+exec "$@"

mrgpu_scripts/launch_docker.sh

+#!/bin/bash
+
+nvidia-docker run --runtime=nvidia -v /home/m145916:/home/m145916 -v /nvme/m145916:/nvme/m145916 -u 7111 -w /home/m145916/ -p 7777:7777 -p 6006:6006 -p 6007:6007 -p 6008:6008 -p 6009:6009 -it theesan16/tf:mrgpu_yoga

mrgpu_scripts/launch_matlab_docker.sh

+#!/bin/bash
+
+docker run -v /home/m145916:/home/m145916 -v /usr/local:/usr/local -v /nvme/m145916:/nvme/m145916 -u 7111 -w /home/m145916/ -p 7888:8888 -it theesan16/matlab:mrnx02_yoga
+
+# docker run -v /usr/local:/usr/local -p 7888:8888 -it theesan16/matlab:mrnx02_yoga

mrgpu_scripts/launch_pome_docker.sh

+#!/bin/bash
+
+docker run -v /home/m145916:/home/m145916 -v /nvme/m145916:/nvme/m145916 -v /mnt/j2/m145916:/mnt/j2/m145916 -u 7111 -w /mnt/j2/m145916/ -p 8888:8888 -it theesan16/gen:pome_yoga

mrgpu_scripts/login_docker.sh

+#!/bin/bash
+
+cid=`docker ps | grep tf:mrgpu_yoga| awk '{print $1}'`
+
+docker exec -ti $cid /bin/bash
+