docker.io/seldonio/mlserver:1.5.0 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/seldonio/mlserver:1.5.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/seldonio/mlserver:1.5.0  docker.io/seldonio/mlserver:1.5.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/seldonio/mlserver:1.5.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/seldonio/mlserver:1.5.0  docker.io/seldonio/mlserver:1.5.0

Shell快速替换命令

sed -i 's#seldonio/mlserver:1.5.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/seldonio/mlserver:1.5.0#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/seldonio/mlserver:1.5.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/seldonio/mlserver:1.5.0  docker.io/seldonio/mlserver:1.5.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/seldonio/mlserver:1.5.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/seldonio/mlserver:1.5.0  docker.io/seldonio/mlserver:1.5.0'

镜像构建历史

# 2024-03-05 22:05:12  0.00B 设置默认要执行的命令
CMD ["/bin/bash" "-c" ". $CONDA_PATH/etc/profile.d/conda.sh &&     source ./hack/activate-env.sh $MLSERVER_ENV_TARBALL &&     mlserver start $MLSERVER_MODELS_DIR"]
                        
# 2024-03-05 22:05:12  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2024-03-05 22:05:12  5.45KB 复制新文件或目录到容器中
COPY ./hack/build-env.sh ./hack/generate_dotenv.py ./hack/activate-env.sh ./hack/ # buildkit
                        
# 2024-03-05 22:05:12  1.76MB 复制新文件或目录到容器中
COPY ./licenses/license.txt /licenses/ # buildkit
                        
# 2024-03-05 22:05:12  1.76MB 复制新文件或目录到容器中
COPY ./licenses/license.txt . # buildkit
                        
# 2024-03-05 22:05:12  8.94GB 执行命令并创建新的镜像层
RUN |4 PYTHON_VERSION=3.10.12 CONDA_VERSION=23.11.0 MINIFORGE_VERSION=23.11.0-0 RUNTIMES=all /bin/bash -c . $CONDA_PATH/etc/profile.d/conda.sh &&     pip install --upgrade pip wheel setuptools &&     if [[ $RUNTIMES == "all" ]]; then         for _wheel in "./dist/mlserver_"*.whl; do             if [[ ! $_wheel == *"mllib"* ]]; then                 echo "--> Installing $_wheel...";                 pip install $_wheel --constraint ./dist/constraints.txt;             fi         done     else         for _runtime in $RUNTIMES; do             _wheelName=$(echo $_runtime | tr '-' '_');             _wheel="./dist/$_wheelName-"*.whl;             echo "--> Installing $_wheel...";             pip install $_wheel --constraint ./dist/constraints.txt;         done     fi &&     pip install $(ls "./dist/mlserver-"*.whl) --constraint ./dist/constraints.txt &&     rm -f /opt/conda/lib/python3.10/site-packages/spacy/tests/package/requirements.txt &&     rm -rf /root/.cache/pip # buildkit
                        
# 2024-03-05 21:55:59  399.38KB 复制新文件或目录到容器中
COPY /opt/mlserver/dist ./dist # buildkit
                        
# 2024-03-05 21:55:59  2.83KB 执行命令并创建新的镜像层
RUN |4 PYTHON_VERSION=3.10.12 CONDA_VERSION=23.11.0 MINIFORGE_VERSION=23.11.0-0 RUNTIMES=all /bin/bash -c useradd -u 1000 -s /bin/bash mlserver -d $MLSERVER_PATH &&     chown -R 1000:0 $MLSERVER_PATH &&     chmod -R 776 $MLSERVER_PATH # buildkit
                        
# 2024-03-05 21:55:59  0.00B 设置工作目录为/opt/mlserver
WORKDIR /opt/mlserver
                        
# 2024-03-05 21:55:59  0.00B 执行命令并创建新的镜像层
RUN |4 PYTHON_VERSION=3.10.12 CONDA_VERSION=23.11.0 MINIFORGE_VERSION=23.11.0-0 RUNTIMES=all /bin/bash -c mkdir $MLSERVER_PATH # buildkit
                        
# 2024-03-05 21:55:58  753.26MB 执行命令并创建新的镜像层
RUN |4 PYTHON_VERSION=3.10.12 CONDA_VERSION=23.11.0 MINIFORGE_VERSION=23.11.0-0 RUNTIMES=all /bin/bash -c microdnf install -y wget &&     wget "https://github.com/conda-forge/miniforge/releases/download/${MINIFORGE_VERSION}/Miniforge3-${MINIFORGE_VERSION}-Linux-x86_64.sh"         -O miniforge3.sh &&     bash "./miniforge3.sh" -b -p $CONDA_PATH &&     rm ./miniforge3.sh &&     echo $PATH &&     conda install --yes         conda=$CONDA_VERSION         python=$PYTHON_VERSION         ffmpeg &&     conda clean -tipy &&     microdnf remove -y wget &&     echo "conda activate base" >> "$CONDA_PATH/etc/profile.d/conda.sh" &&     ln -s "$CONDA_PATH/etc/profile.d/conda.sh" /etc/profile.d/conda.sh &&     echo ". $CONDA_PATH/etc/profile.d/conda.sh" >> ~/.bashrc # buildkit
                        
# 2024-03-05 21:55:13  96.19MB 执行命令并创建新的镜像层
RUN |4 PYTHON_VERSION=3.10.12 CONDA_VERSION=23.11.0 MINIFORGE_VERSION=23.11.0-0 RUNTIMES=all /bin/bash -c microdnf update -y &&     microdnf install -y         tar         gzip         libgomp         mesa-libGL         glib2-devel         shadow-utils # buildkit
                        
# 2024-03-05 21:55:13  0.00B 设置环境变量 MLSERVER_MODELS_DIR MLSERVER_ENV_TARBALL MLSERVER_PATH CONDA_PATH PATH LD_LIBRARY_PATH HF_HOME NUMBA_CACHE_DIR
ENV MLSERVER_MODELS_DIR=/mnt/models MLSERVER_ENV_TARBALL=/mnt/models/environment.tar.gz MLSERVER_PATH=/opt/mlserver CONDA_PATH=/opt/conda PATH=/opt/mlserver/.local/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/opt/conda/lib/python3.10/site-packages/nvidia/cuda_runtime/lib: HF_HOME=/opt/mlserver/.cache NUMBA_CACHE_DIR=/opt/mlserver/.cache
                        
# 2024-03-05 21:55:13  0.00B 定义构建参数
ARG RUNTIMES=all
                        
# 2024-03-05 21:55:13  0.00B 定义构建参数
ARG MINIFORGE_VERSION=23.11.0-0
                        
# 2024-03-05 21:55:13  0.00B 定义构建参数
ARG CONDA_VERSION=23.11.0
                        
# 2024-03-05 21:55:13  0.00B 定义构建参数
ARG PYTHON_VERSION=3.10.12
                        
# 2024-03-05 21:55:13  0.00B 
SHELL [/bin/bash -c]
                        
# 2024-01-18 03:18:31  95.64MB 
/bin/sh -c mv -fZ /tmp/ubi.repo /etc/yum.repos.d/ubi.repo || :
                        
# 2024-01-18 03:18:29  0.00B 
/bin/sh -c rm -f /tmp/tls-ca-bundle.pem
                        
# 2024-01-18 03:18:29  0.00B 
/bin/sh -c rm -f '/etc/yum.repos.d/repo-cbf3a.repo' '/etc/yum.repos.d/repo-a4968.repo'
                        
# 2024-01-18 03:18:28  0.00B 
/bin/sh -c #(nop) LABEL "distribution-scope"="public" "vendor"="Red Hat, Inc." "build-date"="2024-01-17T19:05:39" "architecture"="x86_64" "vcs-type"="git" "vcs-ref"="e8510c65a9be4b0635372fd09bee126ce7e08bc7" "io.k8s.description"="The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly." "url"="https://access.redhat.com/containers/#/registry.access.redhat.com/ubi9-minimal/images/9.3-1552"
                        
# 2024-01-18 03:18:28  0.00B 
/bin/sh -c #(nop) ADD file:75532600b86e8dbdc355d76b86fe28e825754c0d0a529f9282427ca23ab066ef in /root/buildinfo/Dockerfile-ubi9-minimal-9.3-1552 
                        
# 2024-01-18 03:18:28  0.00B 
/bin/sh -c #(nop) ADD file:ef91ccf9344b424c8ead898c7856a891de97edf7461478fa846b6deffe2e8379 in /root/buildinfo/content_manifests/ubi9-minimal-container-9.3-1552.json 
                        
# 2024-01-18 03:18:28  0.00B 
/bin/sh -c #(nop) LABEL release=1552
                        
# 2024-01-18 03:18:28  0.00B 
/bin/sh -c rm -rf /var/log/*
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) CMD ["/bin/bash"]
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) ENV PATH /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) ENV container oci
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) LABEL io.openshift.tags="minimal rhel9"
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) LABEL io.openshift.expose-services=""
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) LABEL io.k8s.display-name="Red Hat Universal Base Image 9 Minimal"
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) LABEL description="The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly."
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) LABEL summary="Provides the latest release of the minimal Red Hat Universal Base Image 9."
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) LABEL com.redhat.license_terms="https://www.redhat.com/en/about/red-hat-end-user-license-agreements#UBI"
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) LABEL com.redhat.component="ubi9-minimal-container"       name="ubi9-minimal"       version="9.3"
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) LABEL maintainer="Red Hat, Inc."
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) ADD multi:655128808f9801300e5f5790b55c073636035214aee6c75e0582afd288da8973 in /etc/yum.repos.d/ 
                        
# 2024-01-18 03:18:27  0.00B 
/bin/sh -c #(nop) ADD file:ecc29a1455ca1b7c82018555e16e2e802135974523df6748e431f8707e759ddd in /tmp/tls-ca-bundle.pem 
                        
# 2024-01-18 03:18:26  0.00B 
/bin/sh -c mv -f /etc/yum.repos.d/ubi.repo /tmp || :
                        
# 2024-01-18 03:18:25  0.00B 
/bin/sh -c #(nop) ADD file:f74dfa5d345e76f1f4d9df6077b0cdeaa5b5171f6b548ed1cac475f14515a809 in / 
                        
                    

镜像信息

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    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-03-05T14:05:12.260067173Z",
    "Container": "",
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    "DockerVersion": "",
    "Author": "",
    "Config": {
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        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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            "container=oci",
            "MLSERVER_MODELS_DIR=/mnt/models",
            "MLSERVER_ENV_TARBALL=/mnt/models/environment.tar.gz",
            "MLSERVER_PATH=/opt/mlserver",
            "CONDA_PATH=/opt/conda",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/opt/conda/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:",
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            "io.k8s.display-name": "Red Hat Universal Base Image 9 Minimal",
            "io.openshift.expose-services": "",
            "io.openshift.tags": "minimal rhel9",
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