Fix docker build for users inside (#227)
* fix the related questions of Connection failed [IP: 91.189.88.152 80] or [IP: 91.189.88.142 80] in Dockerfile * add an ARG to control whether to change the download source for GPU and CPU Dockerfile, and update corresponding changes to the documents * add an ARG to control whether to change the download source for GPU and CPU Dockerfile, and update corresponding changes to the documents * update documentation * update documentation * fix lint error Co-authored-by: zhangwenjun <zhangwenjun@clustar.ai>pull/257/head
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ea54f3b2fd
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51e003bec5
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@ -6,6 +6,18 @@ ARG ONNXRUNTIME_VERSION=1.8.1
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ARG MMCV_VERSION=1.4.0
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ARG CMAKE_VERSION=3.20.0
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USER root
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### change the system source for installing libs
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ARG USE_SRC_INSIDE=false
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RUN if [ ${USE_SRC_INSIDE} == true ] ; \
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then \
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sed -i s/archive.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list ; \
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sed -i s/security.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list ; \
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echo "Use aliyun source for installing libs" ; \
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else \
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echo "Keep the download source unchanged" ; \
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fi
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ca-certificates \
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libopencv-dev libspdlog-dev \
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@ -12,6 +12,17 @@ ENV FORCE_CUDA="1"
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ENV DEBIAN_FRONTEND=noninteractive
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### change the system source for installing libs
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ARG USE_SRC_INSIDE=false
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RUN if [ ${USE_SRC_INSIDE} == true ] ; \
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then \
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sed -i s/archive.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list ; \
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sed -i s/security.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list ; \
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echo "Use aliyun source for installing libs" ; \
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else \
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echo "Keep the download source unchanged" ; \
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fi
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### update apt and install libs
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RUN apt-get update &&\
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apt-get install -y vim libsm6 libxext6 libxrender-dev libgl1-mesa-glx git wget libssl-dev libopencv-dev libspdlog-dev --no-install-recommends &&\
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@ -21,6 +21,17 @@ cd mmdeploy
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docker build docker/GPU/ -t mmdeploy:0.1.0 --build-arg VERSION=0.1.0
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```
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For installing libs with the aliyun source, we can append `--build-arg USE_SRC_INSIDE=${USE_SRC_INSIDE}` to build command.
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```
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# GPU for example
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cd mmdeploy
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docker build docker/GPU/ -t mmdeploy:inside --build-arg USE_SRC_INSIDE=true
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# CPU for example
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cd mmdeploy
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docker build docker/CPU/ -t mmdeploy:inside --build-arg USE_SRC_INSIDE=true
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```
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### Run docker container
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After building the docker image succeed, we can use `docker run` to launch the docker service. GPU docker image for example:
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@ -21,6 +21,17 @@ cd mmdeploy
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docker build docker/GPU/ -t mmdeploy:0.1.0 --build-arg VERSION=0.1.0
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```
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要切换成阿里源安装依赖,我们可以将 `--build-arg USE_SRC_INSIDE=${USE_SRC_INSIDE}` 附加到构建命令中。
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```
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# 以 GPU 为例
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cd mmdeploy
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docker build docker/GPU/ -t mmdeploy:inside --build-arg USE_SRC_INSIDE=true
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# 以 CPU 为例
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cd mmdeploy
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docker build docker/CPU/ -t mmdeploy:inside --build-arg USE_SRC_INSIDE=true
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```
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### 运行 docker 容器
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构建 docker 镜像成功后,我们可以使用 `docker run` 启动 docker 服务。 GPU 镜像为例:
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