使用特定的非python基础图像在docker文件中设置特定的python版本

Question

我想用python3.5在一个特定的基础镜像上创建一个docker镜像，这个镜像是nvidia/cuda (9.0基础镜像)，后者没有python环境。

我需要特定版本的原因是为了支持运行cuda10.0python3.5和一个gcc version<7，以便在同一个机器上一起编译驱动程序

当我尝试构建docker环境(见下文)时，我总是得到加载python3.6的系统更新文件

我运行的第一个版本(下面)运行了一个系统更新依赖项，它安装了python3.6。我尝试了许多变体来避免这种情况，但在最终的映像中总是以3.6结束。

欢迎任何关于使用python3.5运行此应用程序的建议

谢谢

FROM nvidia/cuda

RUN apt-get update && apt-get install -y libsm6 libxext6 libxrender-dev python3.5 python3-pip 

COPY . /app
WORKDIR /app

RUN pip3 install -r requirements.txt
ENTRYPOINT [ "python3" ]
CMD [ "app.py" ]

我尝试过的另一个变体(下面)是使用virtualenv，在这里我似乎不能强制使用python 3.5环境

FROM nvidia/cuda

RUN apt-get update && apt-get install -y --no-install-recommends libsm6 libxext6 libxrender-dev python3.5 python3-pip python3-virtualenv

ENV VIRTUAL_ENV=/opt/venv
RUN python3 -m virtualenv --python=/usr/bin/python3 $VIRTUAL_ENV
ENV PATH="$VIRTUAL_ENV/bin:$PATH"

COPY . /app
WORKDIR /app

RUN pip3 install -r requirements.txt
ENTRYPOINT [ "python3" ]
CMD [ "app.py" ]

Answer 1

您可以从PPA安装并照常使用：

FROM nvidia/cuda

RUN apt-get update && apt-get install -y --no-install-recommends software-properties-common \
    libsm6 libxext6 libxrender-dev curl \
    && rm -rf /var/lib/apt/lists/*

RUN echo "**** Installing Python ****" && \
    add-apt-repository ppa:deadsnakes/ppa &&  \
    apt-get install -y build-essential python3.5 python3.5-dev python3-pip && \
    curl -O https://bootstrap.pypa.io/get-pip.py && \
    python3.5 get-pip.py && \
    rm -rf /var/lib/apt/lists/*

COPY requirements.txt requirements.txt

RUN pip3.5 install -r requirements.txt

CMD ["python3.5", "app.py"]

Answer 2

您可以尝试使用conda。我使用了几个阶段来最小化最终容器，并加速/缓存本地构建。

# first stage
FROM nvidia/cuda:11.1-base-ubuntu18.04 as builder
RUN apt-get update && apt-get install -y curl wget gcc build-essential

# install conda
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.12-Linux-x86_64.sh -O ~/miniconda.sh && \
     /bin/bash ~/miniconda.sh -b -p /opt/conda

# create env with python 3.5
RUN /opt/conda/bin/conda create -y -n myenv python=3.5
    
# install requirements
WORKDIR /app
COPY requirements.txt /app
ENV PATH=/opt/conda/envs/myenv/bin:$PATH    
RUN pip install -r requirements.txt
RUN pip uninstall -y pip


####################
# second stage (note: FROM container must be the same as builder)
FROM nvidia/cuda:11.1-base-ubuntu18.04 as runner

# copy environment data including python
COPY --from=builder /opt/conda/envs/myenv/bin /opt/conda/envs/myenv/bin
COPY --from=builder /opt/conda/envs/myenv/lib /opt/conda/envs/myenv/lib
# do some env settings
ENV PATH=/opt/conda/envs/myenv/bin:$PATH
ENV LC_ALL=C.UTF-8
ENV LANG=C.UTF-8


####################
# final image
from runner
WORKDIR /app    
COPY ./run.py /app
CMD [ "python", "run.py"]