李大仁博客

for /f "tokens=1,2,3,4,5 delims=," %a in (users.csv) do dsadd user "cn=%c,ou=cosmos.com,dc=cosmos,dc=com" -samid %d -upn %d@cosmos.com -fn %b -ln %a -pwd %e -disabled no

SET curr_time=%TIME:~0,-5%
SET curr_time_str=%curr_time::=%

@echo off
ECHO "Time Schedule Bootstrap"
SET curr_time=%TIME:~0,-5%
SET curr_time_str=%curr_time::=%
IF %curr_time_str% leq 0900 (GOTO time_cancel) ELSE (
IF %curr_time_str% leq 1500 (GOTO time_exec) ELSE (
GOTO time_cancel
)
)
exit 0
 
:time_exec
ECHO "Call CMD.exe"
CMD.exe 
exit 0
 
:time_cancel
ECHO "Canceled"
exit 10

Dism /Online /Enable-Feature /FeatureName:netfx3 /Source:E:\sources\sxs

Dism /Online /Cleanup-Image /ScanHealth

Dism /Online /Cleanup-Image /RestoreHealth

Dism /Online /Cleanup-Image /RestoreHealth /Source:c:\test\mount\windows /LimitAccess

Dism /Apply-Image /ImageFile:X:sourcesinstall.wim /Index:1 /ApplyDir:C:

/opt/conda/

__conda_setup="$('/opt/conda/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"
if [ $? -eq 0 ]; then
    eval "$__conda_setup"
else
    if [ -f "/opt/conda/etc/profile.d/conda.sh" ]; then
        . "/opt/conda/etc/profile.d/conda.sh"
    else
        export PATH="/opt/conda/bin:$PATH"
    fi
fi
unset __conda_setup

Ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh
echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc      #
echo "conda activate base" >> ~/.bashrc 
export PATH="/opt/conda/bin:$PATH"

echo "conda activate base" >> ~/.bashrc

FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu18.04
MAINTAINER Limc <limc@limc.com.cn>
 
#close frontend
ENV DEBIAN_FRONTEND noninteractive
 
# add cuda user
# --disabled-password = Don't assign a password
# using root group for OpenShift compatibility
ENV CUDA_USER_NAME=cuda10
ENV CUDA_USER_GROUP=root
 
# add user
RUN adduser --system --group --disabled-password --no-create-home --disabled-login $CUDA_USER_NAME
RUN adduser $CUDA_USER_NAME $CUDA_USER_GROUP
 
# Install basic dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
        build-essential \
        cmake \
        git \
        wget \
        libopencv-dev \
        libsnappy-dev \
        python-dev \
        python-pip \
        #tzdata \
        vim
 
# Install conda for python
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py37_4.8.2-Linux-x86_64.sh -O ~/miniconda.sh && \
    /bin/bash ~/miniconda.sh -b -p /opt/conda && \
    rm ~/miniconda.sh
 
# Set locale
ENV LANG C.UTF-8 LC_ALL=C.UTF-8
 
ENV PATH /opt/conda/bin:$PATH
 
RUN ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh  && \
    echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
    echo "conda activate base" >> ~/.bashrc && \
    find /opt/conda/ -follow -type f -name '*.a' -delete && \
    find /opt/conda/ -follow -type f -name '*.js.map' -delete && \
    /opt/conda/bin/conda clean -afy
 
 
# copy entrypoint.sh
#COPY ./entrypoint.sh /entrypoint.sh
# install 
#ENTRYPOINT ["/entrypoint.sh"]
 
# Initialize workspace
COPY ./app /app
# make workdir
WORKDIR /app
 
# update pip if nesseary
#RUN pip install --upgrade --no-cache-dir pip
# install gunicorn
# RUN pip install --no-cache-dir -r ./requirements.txt
 
# install use conda
#RUN conda install --yes --file ./requirements.txt
RUN while read requirement; do conda install --yes $requirement; done < requirements.txt
 
 
# copy entrypoint.sh
COPY ./entrypoint.sh /entrypoint.sh
# install 
ENTRYPOINT ["/entrypoint.sh"]
 
# switch to non-root user
USER $CUDA_USER_NAME

 
IMG:=`cat Name`
GPU_OPT:=all
MOUNT_ETC:=
MOUNT_LOG:=
MOUNT_APP:=-v `pwd`/work/app:/app
MOUNT:=$(MOUNT_ETC) $(MOUNT_LOG) $(MOUNT_APP)
EXT_VOL:=
PORT_MAP:=
LINK_MAP:=
RESTART:=no
CONTAINER_NAME:=docker-cuda10-py36-hello
 
echo:
    echo $(IMG)
 
run:
    docker rm $(CONTAINER_NAME) || echo
    docker run -d --gpus $(GPU_OPT) --name $(CONTAINER_NAME) $(LINK_MAP) $(PORT_MAP) --restart=$(RESTART) \
                         $(EXT_VOL) $(MOUNT) $(IMG)
 
run_i:
    docker rm $(CONTAINER_NAME) || echo
    docker run -i -t --gpus $(GPU_OPT) --name $(CONTAINER_NAME) $(LINK_MAP) $(PORT_MAP) \
                         $(EXT_VOL) $(MOUNT) $(IMG) /bin/bash 
 
exec_i:
    docker exec -i -t --name $(CONTAINER_NAME)  /bin/bash 
 
stop:
    docker stop $(CONTAINER_NAME)
 
rm: stop
    docker rm $(CONTAINER_NAME)

set -e
 
# Add python as command if needed
if [ "${1:0:1}" = '-' ]; then
    set -- python "$@"
fi
 
# Drop root privileges if we are running gunicorn
# allow the container to be started with `--user`
if [ "$1" = 'python' -a "$(id -u)" = '0' ]; then
    # Change the ownership of user-mutable directories to gunicorn
    for path in \
        /app \
        /usr/local/cuda/ \
    ; do
        chown -R cuda10:root "$path"
    done
 
    set -- su-exec python "$@"
    #exec su-exec elasticsearch "$BASH_SOURCE" "$@"
fi
 
# As argument is not related to gunicorn,
# then assume that user wants to run his own process,
# for example a `bash` shell to explore this image
exec "$@"

curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
  sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
  sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update

sudo apt-get install -y nvidia-container-toolkit
#restart docker
sudo systemctl restart docker

#使用nvidia-container-toolkit
docker run --gpus "device=1,2"

#使用nvidia-docker2,已deprecated，但是还能继续用
docker run --runtime=nvidia

#使用nvidia-docker
nvidia-docker run