在多阶段构建中，全局ARG变量发生了变化

Question

在FROM，RUN

之类的指令中使用Global Arg变量

例如，我想在FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}中使用${CUDA_VERSION} ARG变量，而libcudnn7=${CUDNN_VERSION}-1+cuda${CUDA_VERSION}在第二构建阶段

但是全局arg变量${CUDA_VERSION}在通过FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION} 9.0到9.0.176之后

在Ubuntu 18.04，Docker-CE 18.09.04

我被尝试了很多东西

1. 更改构建阶段中的ARG变量线位置
2. 从原始$ {cuda_version} variable复制其他arg变量
3. 在第一个构建阶段制作环境变量的profile。并在第二阶段复制.profile文件，并使用source命令
应用它
4. 使用ENV变量(但是进入其他构建阶段时，Env变量消失了(

示例dockerfile和构建dockerfile的结果如下

dockerfile

ARG handler_file=handler.py
ARG handler_name=Handler
ARG HANDLER_DIR=/handler
ARG HANDLER_FILE=${HANDLER_DIR}/${handler_file}
ARG HANDLER_NAME=${handler_name}
# Global arguments for Nvidia-docker
ARG CUDA_VERSION=9.0
ARG CUDNN_VERSION=7.4.1.5
ARG UBUNTU_VERSION=16.04
# == MutiStage Build ==
# 1-Stage
FROM python:3.7-alpine
ARG HANDLER_DIR
ARG HANDLER_FILE
ARG HANDLER_NAME
ARG handler_file
ARG handler_name
ARG CUDA_VERSION
RUN echo "${CUDA_VERSION}"
RUN mkdir -p ${HANDLER_DIR}
WORKDIR ${HANDLER_DIR}
COPY . .
RUN touch ${HANDLER_DIR}/__init__.py
# 2-Stage
FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
# For Nvidia-Docker
ARG CUDA_VERSION
ARG CUDNN_VERSION
RUN echo "${CUDA_VERSION}"
# Copy directory from 1-stage
ARG HANDLER_DIR
RUN mkdir -p ${HANDLER_DIR}
WORKDIR ${HANDLER_DIR}
COPY --from=0 ${HANDLER_DIR} .
RUN echo "/usr/local/cuda-${CUDA_VERSION}/extras/CUPTI/lib64" > /etc/ld.so.conf.d/cupti.conf
RUN apt-get update && apt-get install -y --no-install-recommends 
    build-essential 
    wget 
    tar 
    libgomp1 
    libcudnn7=${CUDNN_VERSION}-1+cuda${CUDA_VERSION} 
    python 
        python-dev 
        python-numpy 
        python-pip 
        python-setuptools 
        python3 
        python3-dev 
        python3-numpy 
    python3-pip 
        python3-setuptools 
        python3-tk 
        libgtk2.0-dev 
    ${ADDITIONAL_PACKAGE} 
    && rm -rf /var/lib/apt/lists/*
ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
RUN pip3 --no-cache-dir install --upgrade 
    pip setuptools
RUN pip3 install --upgrdae pip && 
    pip3 install -r requirements.txt

构建消息

...
Step 9/33 : FROM python:3.7-alpine
 ---> 2caaa0e9feab
...
Step 16/33 : RUN echo "${CUDA_VERSION}"
 ---> Running in d057b0fd57a7
9.0
...
Step 21/33 : FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
 ---> 2f9810b1b916
...
Step 24/33 : RUN echo "${CUDA_VERSION}"
 ---> Running in dc676c2a2992
9.0.176
...
Step 30/33 : RUN apt-get update && apt-get install -y --no-install-recommends   build-essential     wget    tar     libgomp1    libcudnn7=${CUDNN_VERSION}-1+cuda${CUDA_VERSION}    python         python-dev         python-numpy         python-pip         python-setuptools         python3         python3-dev         python3-numpy   python3-pip         python3-setuptools         python3-tk         libgtk2.0-dev     ${ADDITIONAL_PACKAGE}     && rm -rf /var/lib/apt/lists/*
 ---> Running in 8518fb8d755c
...
E: Version '7.4.1.5-1+cuda9.0.176' for 'libcudnn7' was not found
The command '/bin/sh -c apt-get update && apt-get install -y --no-install-recommends    build-essential     wget    tar     libgomp1    libcudnn7=${CUDNN_VERSION}-1+cuda${CUDA_VERSION}    python         python-dev         python-numpy         python-pip         python-setuptools         python3         python3-dev         python3-numpy   python3-pip         python3-setuptools         python3-tk         libgtk2.0-dev     ${ADDITIONAL_PACKAGE}     && rm -rf /var/lib/apt/lists/*' returned a non-zero code: 100

预期的结果是docker文件构建成功

但ARG变量更改会导致以下错误 E: Version '7.4.1.5-1+cuda9.0.176' for 'libcudnn7' was not found

Answer 1

我解决了我的问题，如

我发表了发行https://github.com/docker/for-linux/issues/713

# Global arguments for Nvidia-docker
ARG CUDA_VERSION=9.0
ARG CUDNN_VERSION=7.4.1.5
ARG UBUNTU_VERSION=16.04
ARG BACKUP=${CUDA_VERSION}
...
RUN echo "/usr/local/cuda-${BACKUP}/extras/CUPTI/lib64" > /etc/ld.so.conf.d/cupti.conf
RUN apt-get update && apt-get install -y --no-install-recommends 
    build-essential 
    wget 
    tar 
    libgomp1 
    libcudnn7=${CUDNN_VERSION}-1+cuda${BACKUP} 
    python 
        python-dev 
        python-numpy 
        python-pip 
        python-setuptools 
        python3 
        python3-dev 
        python3-numpy 
    python3-pip 
        python3-setuptools 
        python3-tk 
        libgtk2.0-dev 
    ${ADDITIONAL_PACKAGE} 
    && rm -rf /var/lib/apt/lists/*
...

dockerfile

# Arguments for Nvidia-Docker
# all combination set in CUDA, cuDNN, Ubuntu is not Incompatible please check REFERENCE OF NVIDIA-DOCKER
# REFERENCE OF NVIDIA-DOCKER 
# https://hub.docker.com/r/nvidia/cuda/
ARG handler_file=handler.py
ARG handler_name=Handler
ARG HANDLER_DIR=/handler
ARG HANDLER_FILE=${HANDLER_DIR}/${handler_file}
ARG HANDLER_NAME=${handler_name}
# Global arguments for Nvidia-docker
ARG CUDA_VERSION=9.0
ARG CUDNN_VERSION=7.4.1.5
ARG UBUNTU_VERSION=16.04
ARG BACKUP=${CUDA_VERSION}
# == MutiStage Build ==
# 1-Stage
# Get watcher - if watcher is uploaded on github, remove this line.
FROM python:3.7-alpine
ARG HANDLER_DIR
ARG HANDLER_FILE
ARG HANDLER_NAME
ARG handler_file
ARG handler_name
ARG BACKUP
ARG CUDA_VERSION
RUN echo "${CUDA_VERSION}"
RUN echo "${BACKUP}"
RUN mkdir -p ${HANDLER_DIR}
WORKDIR ${HANDLER_DIR}
COPY . .
RUN touch ${HANDLER_DIR}/__init__.py
# 2-Stage
FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
ARG BACKUP
# For Nvidia-Docker
ARG CUDA_VERSION
ARG CUDNN_VERSION
RUN echo "${CUDA_VERSION}"
RUN echo "${BACKUP}"
# Copy directory from 0-stage
ARG HANDLER_DIR
RUN mkdir -p ${HANDLER_DIR}
WORKDIR ${HANDLER_DIR}
COPY --from=0 ${HANDLER_DIR} .
RUN echo "/usr/local/cuda-${BACKUP}/extras/CUPTI/lib64" > /etc/ld.so.conf.d/cupti.conf
RUN apt-get update && apt-get install -y --no-install-recommends 
    build-essential 
    wget 
    tar 
    libgomp1 
    libcudnn7=${CUDNN_VERSION}-1+cuda${BACKUP} 
    python 
        python-dev 
        python-numpy 
        python-pip 
        python-setuptools 
        python3 
        python3-dev 
        python3-numpy 
    python3-pip 
        python3-setuptools 
        python3-tk 
        libgtk2.0-dev 
    ${ADDITIONAL_PACKAGE} 
    && rm -rf /var/lib/apt/lists/*
ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
RUN pip3 --no-cache-dir install --upgrade 
    pip setuptools
RUN pip3 install --upgrdae pip && 
    pip3 install -r requirements.txt