Dockerfile

# 使用PyTorch为基础镜像以支持Hugging Face
FROM pytorch/pytorch:1.12.0-cuda11.3-cudnn8-runtime

# 避免交互式提示
ENV DEBIAN_FRONTEND=noninteractive

# 设置环境变量
ENV ANDROID_HOME=/opt/android-sdk
ENV ANDROID_SDK_ROOT=$ANDROID_HOME
ENV PATH=$PATH:$ANDROID_HOME/platform-tools:$ANDROID_HOME/cmdline-tools/latest/bin
ENV PYTHONUNBUFFERED=1

# 安装系统依赖
RUN apt-get update && apt-get install -y \
    wget \
    unzip \
    git \
    curl \
    openjdk-11-jdk \
    python3-pip \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# 安装Hugging Face transformers和相关依赖
RUN pip3 install --no-cache-dir \
    transformers \
    datasets \
    scikit-learn \
    pandas \
    numpy \
    torch \
    accelerate \
    sentencepiece \
    tensorboard

# 创建Android SDK目录
RUN mkdir -p ${ANDROID_HOME}/cmdline-tools

# 下载Android命令行工具
RUN wget -q https://dl.google.com/android/repository/commandlinetools-linux-8512546_latest.zip -O cmdline-tools.zip \
    && unzip cmdline-tools.zip -d ${ANDROID_HOME}/cmdline-tools \
    && mv ${ANDROID_HOME}/cmdline-tools/cmdline-tools ${ANDROID_HOME}/cmdline-tools/latest \
    && rm cmdline-tools.zip

# 接受许可
RUN yes | sdkmanager --licenses

# 安装Android SDK组件
RUN sdkmanager \
    "platform-tools" \
    "platforms;android-30" \
    "build-tools;30.0.3" \
    "extras;android;m2repository" \
    "extras;google;m2repository"

# 设置工作目录
WORKDIR /workspace

# 安装额外的Python包用于模型转换和优化
RUN pip3 install --no-cache-dir \
    onnx \
    onnxruntime \
    tensorflow \
    tensorflow-hub \
    android-auto-bundle

# 配置Git
RUN git config --global credential.helper store

# 创建必要的目录
RUN mkdir -p /workspace/models /workspace/android-project

# 复制启动脚本
COPY start.sh /workspace/
RUN chmod +x /workspace/start.sh

# 设置启动命令
ENTRYPOINT ["/workspace/start.sh"]
CMD ["/bin/bash"]