Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest  ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest  ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest

Shell快速替换命令

sed -i 's#ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest  ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest  ghcr.io/huggingface/text-embeddings-inference:cpu-ipex-latest'

镜像构建历史

# 2026-07-09 02:24:26  0.00B 设置默认要执行的命令
CMD ["--json-output"]
                        
# 2026-07-09 02:24:26  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["text-embeddings-router"]
                        
# 2026-07-09 02:24:26  27.95MB 复制新文件或目录到容器中
COPY /usr/src/target/release/text-embeddings-router /usr/local/bin/text-embeddings-router # buildkit
                        
# 2026-07-09 01:57:49  579.30MB 执行命令并创建新的镜像层
RUN /bin/bash -c cd backends/python/server &&     make install # buildkit
                        
# 2026-07-09 01:57:14  0.00B 执行命令并创建新的镜像层
RUN /bin/bash -c python -m pip install torch==2.8.0 torchvision==0.23.0 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cpu --no-cache-dir # buildkit
                        
# 2026-07-09 01:57:14  3.50KB 复制新文件或目录到容器中
COPY backends/python/server/requirements-intel.txt backends/python/server/requirements.txt # buildkit
                        
# 2026-07-09 01:57:14  0.00B 复制新文件或目录到容器中
COPY backends/python/server/pyproject.toml backends/python/server/pyproject.toml # buildkit
                        
# 2026-07-09 01:57:14  0.00B 复制新文件或目录到容器中
COPY backends/python/server/text_embeddings_server/models/__init__.py backends/python/server/text_embeddings_server/models/__init__.py # buildkit
                        
# 2026-07-09 01:57:14  4.19MB 复制新文件或目录到容器中
COPY backends backends # buildkit
                        
# 2026-07-09 01:57:14  0.00B 设置工作目录为/usr/src
WORKDIR /usr/src
                        
# 2026-03-13 04:12:03  412.23MB 执行命令并创建新的镜像层
RUN /bin/bash -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends     build-essential     git     cmake     ninja-build     python3-dev &&    rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-03-13 04:12:03  0.00B 设置环境变量 HUGGINGFACE_HUB_CACHE PORT
ENV HUGGINGFACE_HUB_CACHE=/data PORT=80
                        
# 2025-08-14 00:04:17  1.14GB 执行命令并创建新的镜像层
RUN /bin/bash -c python -m pip install --no-cache-dir -r requirements.txt &&     rm -rf requirements.txt # buildkit
                        
# 2025-08-14 00:03:43  238.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2025-08-14 00:03:43  0.00B 设置工作目录为/
WORKDIR /
                        
# 2025-08-13 23:30:59  1.04GB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.11 /bin/bash -c python -m pip --no-cache-dir install -r requirements.txt # buildkit
                        
# 2025-08-13 23:30:17  106.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2025-08-13 23:30:17  0.00B 设置工作目录为/
WORKDIR /
                        
# 2025-08-13 23:30:17  16.32MB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.11 /bin/bash -c python -m pip --no-cache-dir install --upgrade pip # buildkit
                        
# 2025-08-13 23:30:14  57.00B 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.11 /bin/bash -c ln -sf "$(which python${PYTHON_VERSION})" /usr/local/bin/python &&     ln -sf "$(which python${PYTHON_VERSION})" /usr/local/bin/python3 &&     ln -sf "$(which python${PYTHON_VERSION})" /usr/bin/python # buildkit
                        
# 2025-08-13 23:30:13  0.00B 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.11 /bin/bash -c rm -rf /usr/lib/python${PYTHON_VERSION}/EXTERNALLY-MANAGED # buildkit
                        
# 2025-08-13 23:30:13  88.35MB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.11 /bin/bash -c apt-get install -y --no-install-recommends --fix-missing     libpython${PYTHON_VERSION}     python${PYTHON_VERSION}     python3-pip     python${PYTHON_VERSION}-distutils &&     apt-get clean &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-08-13 23:29:59  0.00B 定义构建参数
ARG PYTHON_VERSION=3.11
                        
# 2025-08-13 23:29:59  70.08MB 执行命令并创建新的镜像层
RUN /bin/bash -c apt-get update -y &&     apt-get install -y --no-install-recommends --fix-missing     ca-certificates     wget # buildkit
                        
# 2025-08-13 23:29:59  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-08-13 23:29:59  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-08-13 23:29:59  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-07-30 13:32:14  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-07-30 13:32:14  77.87MB 
/bin/sh -c #(nop) ADD file:598bb7ba54e5a576778e9ebe1f4e514188812bea30c08d00446f8d04c37053e6 in / 
                        
# 2025-07-30 13:32:11  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-07-30 13:32:11  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-07-30 13:32:11  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-07-30 13:32:11  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "DEBIAN_FRONTEND=noninteractive",
            "LANG=C.UTF-8",
            "HUGGINGFACE_HUB_CACHE=/data",
            "PORT=80"
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        "Cmd": [
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        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/usr/src",
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        "Labels": {
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            "com.docker.compose.service": "ipex-base",
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            "dependency.apt.wget": "true",
            "dependency.python": "3.11",
            "dependency.python.pip": "requirements.txt",
            "docs": "pytorch",
            "org.opencontainers.base.name": "intel/python:3.11-full",
            "org.opencontainers.image.created": "2026-07-08T18:19:04.583Z",
            "org.opencontainers.image.description": "A blazing fast inference solution for text embeddings models",
            "org.opencontainers.image.licenses": "Apache-2.0",
            "org.opencontainers.image.name": "intel/intel-optimized-pytorch",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "4150561d42c495fe95f2aebb57fbb602c13ff4e6",
            "org.opencontainers.image.source": "https://github.com/huggingface/text-embeddings-inference",
            "org.opencontainers.image.title": "text-embeddings-inference",
            "org.opencontainers.image.url": "https://github.com/huggingface/text-embeddings-inference",
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