通過Docker構建TensorFlow Serving


最近在用Docker搭建TensorFlow Serving, 在查閱了官方資料后,發現其文檔內有不少冗余的步驟,便一步步排查,終於找到了更簡單的Docker鏡像構建方法。這里有兩種方式:

版本一:

FROM ubuntu:18.04

# Install general packages
RUN apt-get update && apt-get install -y wget && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*
    
# New installation of tensorflow-model-server    
RUN TEMP_DEB="$(mktemp)" \
    && wget -O "$TEMP_DEB" 'http://storage.googleapis.com/tensorflow-serving-apt/pool/tensorflow-model-server-1.8.0/t/tensorflow-model-server/tensorflow-model-server_1.8.0_all.deb' \ 
    && dpkg -i "$TEMP_DEB" \ 
    && rm -f "$TEMP_DEB" \ 
    && mkdir /tmp/model-export    
    
EXPOSE 9000

# Serve the model when the container starts
ENTRYPOINT ["tensorflow_model_server"]
CMD ["--port=9000", "--model_name=model", "--model_base_path=/tmp/model-export"]

版本二

FROM ubuntu:18.04

# Install general packages
RUN apt-get update && apt-get install -y curl gnupg

# New installation of tensorflow-model-server    
RUN echo "deb [arch=amd64] http://storage.googleapis.com/tensorflow-serving-apt stable tensorflow-model-server tensorflow-model-server-universal" | tee /etc/apt/sources.list.d/tensorflow-serving.list \ 
    && curl https://storage.googleapis.com/tensorflow-serving-apt/tensorflow-serving.release.pub.gpg | apt-key add - \ 
    && apt-get update && apt-get install tensorflow-model-server \ 
    && apt-get clean \ 
    && rm -rf /var/lib/apt/lists/*  \
    && mkdir /tmp/model-export 

EXPOSE 9000

# Serve the model when the container starts
ENTRYPOINT ["tensorflow_model_server"]
CMD ["--port=9000", "--model_name=model", "--model_base_path=/tmp/model-export"]

版本一生成的Docker鏡像更小些,所以比較推薦第一種方法。至於為何會有第二個版本,因為是從官方的文檔上找到的,而第一個來源自別人所提出問題的解答

將上述代碼保存為dockerfile文件,再執行docker build命令:

docker build -t tensorflow-serving -f dockerfile .

之后,再通過docker run啟動容器即可:

docker run -p 9000:9000 tensorflow-serving


免責聲明!

本站轉載的文章為個人學習借鑒使用,本站對版權不負任何法律責任。如果侵犯了您的隱私權益,請聯系本站郵箱yoyou2525@163.com刪除。



 
粵ICP備18138465號   © 2018-2025 CODEPRJ.COM