docker.io/xprobe/xinference:v1.6.0.post1-cpu linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.6.0.post1-cpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.6.0.post1-cpu  docker.io/xprobe/xinference:v1.6.0.post1-cpu

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.6.0.post1-cpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.6.0.post1-cpu  docker.io/xprobe/xinference:v1.6.0.post1-cpu

Shell快速替换命令

sed -i 's#xprobe/xinference:v1.6.0.post1-cpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.6.0.post1-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:v1.6.0.post1-cpu && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.6.0.post1-cpu  docker.io/xprobe/xinference:v1.6.0.post1-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:v1.6.0.post1-cpu && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.6.0.post1-cpu  docker.io/xprobe/xinference:v1.6.0.post1-cpu'

镜像构建历史

# 2025-05-17 16:26:04  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-05-17 16:26:04  0.00B 
/bin/sh -c #(nop)  ENTRYPOINT []
                        
# 2025-05-17 16:26:01  473.48MB 
|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
                        
# 2025-05-17 16:24:38  7.22GB 
|1 PIP_INDEX=https://pypi.org/simple /bin/sh -c python -m pip install --upgrade -i "$PIP_INDEX" pip &&     pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu &&     pip install -i "$PIP_INDEX" --upgrade-strategy only-if-needed -r /opt/inference/xinference/deploy/docker/requirements_cpu-base.txt &&     pip install -i "$PIP_INDEX" --upgrade-strategy only-if-needed -r /opt/inference/xinference/deploy/docker/requirements_cpu-ml.txt &&     pip install -i "$PIP_INDEX" --upgrade-strategy only-if-needed -r /opt/inference/xinference/deploy/docker/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 &&     pip cache purge
                        
# 2025-05-17 16:13:46  0.00B 
/bin/sh -c #(nop)  ARG PIP_INDEX=https://pypi.org/simple
                        
# 2025-05-17 16:13:46  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
                        
# 2025-05-17 16:13:42  568.69MB 
/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
                        
# 2025-05-17 16:13:04  0.00B 
/bin/sh -c #(nop)  ENV NODE_VERSION=14.21.1
                        
# 2025-05-17 16:13:04  0.00B 
/bin/sh -c #(nop)  ENV NVM_DIR=/usr/local/nvm
                        
# 2025-05-17 16:12:56  139.89MB 
/bin/sh -c #(nop) COPY dir:12fb77ec2284b5b990f437d5dce55af00faea394c1714163953543cae4364864 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

{
    "Id": "sha256:7be4d3fc7654971258b67696bfa1ec9f3c9be95ba1f53b0e48f7adaf90b5008e",
    "RepoTags": [
        "xprobe/xinference:v1.6.0.post1-cpu",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.6.0.post1-cpu"
    ],
    "RepoDigests": [
        "xprobe/xinference@sha256:dc1d9e5fcbf288e8aff0fc52a4f7b6d34057c1ec6347baccb30cc1966f5ce382",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference@sha256:dc1d9e5fcbf288e8aff0fc52a4f7b6d34057c1ec6347baccb30cc1966f5ce382"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2025-05-17T08:26:04.655922066Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "20.10.17",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "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",
            "LC_ALL=C.UTF-8",
            "NVM_DIR=/usr/local/nvm",
            "NODE_VERSION=14.21.1"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "sha256:0e74ce7f673a687dcb231a3325feb74cd2055695c09a6444c85d369118742a8f",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "maintainer": "Anaconda, Inc",
            "org.opencontainers.image.created": "2023-11-16T21:09:15.914Z",
            "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",
            "org.opencontainers.image.version": "23.10.0-1"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 8937245920,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/b4fbbb1c1baa9ff18e593dd1e4785081fd2dec246adc4a380cfb0a97d244ac1d/diff:/var/lib/docker/overlay2/dc08c92bd5affe6bb266b7996b3d5bb3d1a1fc3a348eb11fc49317a601705764/diff:/var/lib/docker/overlay2/2854ccdb48844f4a087fd343d9a64d52e7bc4a153cbc2d7cf0685452b62cfd02/diff:/var/lib/docker/overlay2/5d66bb0aac1208d2aceed97039ee8d07b80307d0a8f58cbbd5df309329de1841/diff:/var/lib/docker/overlay2/691bf287bf0c4abd130bf3a086ab3d1588f27b38dbf75de42ba74e6616eccc9b/diff:/var/lib/docker/overlay2/fb4cd9a623e03c28111e03628b920fd409eb6afbaf696c30a73381fb28dbb20c/diff",
            "MergedDir": "/var/lib/docker/overlay2/7ac0d12097197e76d97e0a062c2985656f48f292536a30747d992f87898dad1d/merged",
            "UpperDir": "/var/lib/docker/overlay2/7ac0d12097197e76d97e0a062c2985656f48f292536a30747d992f87898dad1d/diff",
            "WorkDir": "/var/lib/docker/overlay2/7ac0d12097197e76d97e0a062c2985656f48f292536a30747d992f87898dad1d/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:74c0af6e02274b54b88f851843ae69880a234694dede8ff9fb93bfa076af45ed",
            "sha256:2274c4bfd58ef49f18adf395a0382997bf49db151c10eeb4e231dafcaac465a4",
            "sha256:d917f59154bf3be5c8da57f7a5f81ec6c0d001037cafd5c00bf853433e691c30",
            "sha256:47895039061a3a77cd66c2ce78c4b712fccf970a0dd4f3efc66757d6668a8cb9",
            "sha256:863f07c4e5bffef15c1bbc353a9630bd9a5a674d1972da6c98c56d684b70f347",
            "sha256:58adcd561a69aa775a3e92464e7eb49068c3f70dd236c76dc43a491de695680b",
            "sha256:00433d1673b92c1e7e67b5fe56f87fa5506a55108595ac341049cdaf007d3fd4"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-05-26T01:47:05.386937623+08:00"
    }
}