docker.io/xprobe/xinference:v2.2.0-cpu linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v2.2.0-cpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v2.2.0-cpu  docker.io/xprobe/xinference:v2.2.0-cpu

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v2.2.0-cpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v2.2.0-cpu  docker.io/xprobe/xinference:v2.2.0-cpu

Shell快速替换命令

sed -i 's#xprobe/xinference:v2.2.0-cpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v2.2.0-cpu#' 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/xprobe/xinference:v2.2.0-cpu && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v2.2.0-cpu  docker.io/xprobe/xinference:v2.2.0-cpu'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v2.2.0-cpu && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v2.2.0-cpu  docker.io/xprobe/xinference:v2.2.0-cpu'

镜像构建历史

# 2026-02-28 21:45:43  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-02-28 21:45:43  0.00B 
/bin/sh -c #(nop)  ENTRYPOINT []
                        
# 2026-02-28 21:45:40  487.70MB 
|1 PIP_INDEX=https://pypi.org/simple /bin/sh -c /opt/conda/bin/conda create -n ffmpeg-env -c conda-forge 'ffmpeg<7' -y &&     ln -s /opt/conda/envs/ffmpeg-env/bin/ffmpeg /usr/local/bin/ffmpeg &&     ln -s /opt/conda/envs/ffmpeg-env/bin/ffprobe /usr/local/bin/ffprobe &&     /opt/conda/bin/conda clean --all -y
                        
# 2026-02-28 21:44:00  7.65GB 
|1 PIP_INDEX=https://pypi.org/simple /bin/sh -c python -m pip install --upgrade -i "$PIP_INDEX" pip "setuptools<82" wheel "packaging>=24.2" &&     pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu &&     pip install -i "$PIP_INDEX" --upgrade-strategy only-if-needed -r /opt/inference/xinference/deploy/docker/requirements_cpu/requirements_cpu-base.txt &&     pip install --no-cache-dir -i "$PIP_INDEX" --no-build-isolation gptqmodel &&     pip install -i "$PIP_INDEX" --upgrade-strategy only-if-needed -r /opt/inference/xinference/deploy/docker/requirements_cpu/requirements_cpu-ml.txt &&     pip install -i "$PIP_INDEX" --upgrade-strategy  only-if-needed -r /opt/inference/xinference/deploy/docker/requirements_cpu/requirements_cpu-models.txt &&     cd /opt/inference &&     python setup.py build_web &&     git restore . &&     pip install -i "$PIP_INDEX" --no-deps "." &&     pip install -i "$PIP_INDEX" "xllamacpp>=0.2.0" &&     pip cache purge
                        
# 2026-02-28 21:31:42  0.00B 
/bin/sh -c #(nop)  ARG PIP_INDEX=https://pypi.org/simple
                        
# 2026-02-28 21:31:42  0.00B 
/bin/sh -c #(nop)  ENV PATH=/usr/local/nvm/versions/node/v14.21.1/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-02-28 21:31:38  569.40MB 
/bin/sh -c apt-get -y update   && apt install -y build-essential curl procps git libgl1   && mkdir -p $NVM_DIR   && curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash   && . $NVM_DIR/nvm.sh   && nvm install $NODE_VERSION   && nvm alias default $NODE_VERSION   && nvm use default   && apt-get -yq clean
                        
# 2026-02-28 21:31:00  0.00B 
/bin/sh -c #(nop)  ENV NODE_VERSION=14.21.1
                        
# 2026-02-28 21:31:00  0.00B 
/bin/sh -c #(nop)  ENV NVM_DIR=/usr/local/nvm
                        
# 2026-02-28 21:30:52  265.83MB 
/bin/sh -c #(nop) COPY dir:4e7599060bf58b296db9ed464c63a5e6b641545aa71ea98b8bfe8770207d881d in /opt/inference 
                        
# 2023-11-17 05:10:01  310.37MB 执行命令并创建新的镜像层
RUN |1 CONDA_VERSION=py311_23.10.0-1 /bin/sh -c set -x &&     UNAME_M="$(uname -m)" &&     if [ "${UNAME_M}" = "x86_64" ]; then         MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-x86_64.sh";         SHA256SUM="d0643508fa49105552c94a523529f4474f91730d3e0d1f168f1700c43ae67595";     elif [ "${UNAME_M}" = "s390x" ]; then         MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-s390x.sh";         SHA256SUM="ae212385c9d7f7473da7401d3f5f6cbbbc79a1fce730aa48531947e9c07e0808";     elif [ "${UNAME_M}" = "aarch64" ]; then         MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-aarch64.sh";         SHA256SUM="a60e70ad7e8ac5bb44ad876b5782d7cdc66e10e1f45291b29f4f8d37cc4aa2c8";     elif [ "${UNAME_M}" = "ppc64le" ]; then         MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-ppc64le.sh";         SHA256SUM="1a2eda0a9a52a4bd058abbe9de5bb2bc751fcd7904c4755deffdf938d6f4436e";     fi &&     wget "${MINICONDA_URL}" -O miniconda.sh -q &&     echo "${SHA256SUM} miniconda.sh" > shasum &&     if [ "${CONDA_VERSION}" != "latest" ]; then sha256sum --check --status shasum; fi &&     mkdir -p /opt &&     bash miniconda.sh -b -p /opt/conda &&     rm miniconda.sh shasum &&     ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh &&     echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc &&     echo "conda activate base" >> ~/.bashrc &&     find /opt/conda/ -follow -type f -name '*.a' -delete &&     find /opt/conda/ -follow -type f -name '*.js.map' -delete &&     /opt/conda/bin/conda clean -afy # buildkit
                        
# 2023-11-17 05:09:43  0.00B 定义构建参数
ARG CONDA_VERSION=py311_23.10.0-1
                        
# 2023-11-17 05:09:43  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2023-11-17 05:09:43  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-17 05:09:43  145.05MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -q &&     apt-get install -q -y --no-install-recommends         bzip2         ca-certificates         git         libglib2.0-0         libsm6         libxext6         libxrender1         mercurial         openssh-client         procps         subversion         wget     && apt-get clean     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-17 05:09:43  0.00B 设置环境变量 LANG LC_ALL
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
                        
# 2023-11-17 05:09:43  0.00B 添加元数据标签
LABEL maintainer=Anaconda, Inc
                        
# 2023-11-01 08:21:12  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2023-11-01 08:21:11  80.55MB 
/bin/sh -c #(nop) ADD file:5fb15e28ab9cd52a4c1371f9273d159579710f4efb955c1e6d76c0403e36967c in / 
                        
                    

镜像信息

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    "Created": "2026-02-28T13:45:43.950526608Z",
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    "DockerVersion": "20.10.17",
    "Author": "",
    "Config": {
        "Hostname": "",
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        "AttachStdin": false,
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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvm/versions/node/v14.21.1/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
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        "Labels": {
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            "org.opencontainers.image.description": "Repository of Docker images created by Anaconda",
            "org.opencontainers.image.licenses": "",
            "org.opencontainers.image.revision": "ebc26fe510afb782743805c76b74c0e8c558318c",
            "org.opencontainers.image.source": "https://github.com/ContinuumIO/docker-images",
            "org.opencontainers.image.title": "docker-images",
            "org.opencontainers.image.url": "https://github.com/ContinuumIO/docker-images",
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 9513203246,
    "GraphDriver": {
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    "RootFS": {
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