docker.io/sounos/xinference:v1.7.1 linux/amd64

docker.io/sounos/xinference:v1.7.1 - 国内下载镜像源 浏览次数:8
源镜像 docker.io/sounos/xinference:v1.7.1
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sounos/xinference:v1.7.1
镜像ID sha256:e3f5db20f5e525d9d2ded6a9a0c6d6f9e907d52f9e76fe11391b89383af8dbd1
镜像TAG v1.7.1
大小 8.53GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录
OS/平台 linux/amd64
浏览量 8 次
贡献者 43******4@qq.com
镜像创建 2025-07-01T03:54:39.809516835Z
同步时间 2025-08-28 00:55
更新时间 2025-08-28 06:36
环境变量
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
镜像标签
Anaconda, Inc: maintainer 2025-02-07T16:38:19.130Z: org.opencontainers.image.created Repository of Docker images created by Anaconda: org.opencontainers.image.description : org.opencontainers.image.licenses 9b46229a260aa819821d833e0be57f8ec2273698: org.opencontainers.image.revision https://github.com/anaconda/docker-images: org.opencontainers.image.source docker-images: org.opencontainers.image.title https://github.com/anaconda/docker-images: org.opencontainers.image.url 25.1.1-0: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sounos/xinference:v1.7.1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sounos/xinference:v1.7.1  docker.io/sounos/xinference:v1.7.1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sounos/xinference:v1.7.1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sounos/xinference:v1.7.1  docker.io/sounos/xinference:v1.7.1

Shell快速替换命令

sed -i 's#sounos/xinference:v1.7.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sounos/xinference:v1.7.1#' 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/sounos/xinference:v1.7.1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sounos/xinference:v1.7.1  docker.io/sounos/xinference:v1.7.1'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sounos/xinference:v1.7.1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sounos/xinference:v1.7.1  docker.io/sounos/xinference:v1.7.1'

镜像构建历史


# 2025-07-01 11:54:39  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2025-07-01 11:54:39  0.00B 配置容器启动时运行的命令
ENTRYPOINT []
                        
# 2025-07-01 11:54:39  474.31MB 执行命令并创建新的镜像层
RUN |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 # buildkit
                        
# 2025-07-01 11:53:04  6.63GB 执行命令并创建新的镜像层
RUN |1 PIP_INDEX=https://pypi.org/simple /bin/sh -c python -m pip install --upgrade -i "$PIP_INDEX" pip &&     pip install torch torchvision torchaudio  &&     pip install -i "$PIP_INDEX"  -r /opt/inference/requirements.txt &&     pip cache purge # buildkit
                        
# 2025-07-01 10:50:27  0.00B 定义构建参数
ARG PIP_INDEX=https://pypi.org/simple
                        
# 2025-07-01 10:50:27  0.00B 设置环境变量 PATH
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
                        
# 2025-07-01 10:50:27  790.51MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get -y update   && apt install -y build-essential curl procps git libgl1 libomp-dev   && 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 # buildkit
                        
# 2025-07-01 10:50:27  0.00B 设置环境变量 NODE_VERSION
ENV NODE_VERSION=14.21.1
                        
# 2025-07-01 10:50:27  0.00B 设置环境变量 NVM_DIR
ENV NVM_DIR=/usr/local/nvm
                        
# 2025-07-01 10:41:48  1.89KB 复制文件或目录到容器中
ADD requirements.txt /opt/inference/ # buildkit
                        
# 2025-02-08 00:38:55  383.27MB 执行命令并创建新的镜像层
RUN |6 INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py312_25.1.1-0-Linux-x86_64.sh SHA256SUM_LINUX64=832de27a5a35b7963f0d83466abada3eb138e51985255f190e0dc350427a9dd1 INSTALLER_URL_S390X=https://repo.anaconda.com/miniconda/Miniconda3-py312_25.1.1-0-Linux-s390x.sh SHA256SUM_S390X=fa0b443ea73c71abd29eb51212c7b032d5089cbb2761aa07f91668b903a2a575 INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py312_25.1.1-0-Linux-aarch64.sh SHA256SUM_AARCH64=ae9d3ea83df97e78fd51c452d0bc75005a28d504c22db6f1000822293f916b54 /bin/sh -c set -x &&     UNAME_M="$(uname -m)" &&     if [ "${UNAME_M}" = "x86_64" ]; then         INSTALLER_URL="${INSTALLER_URL_LINUX64}";         SHA256SUM="${SHA256SUM_LINUX64}";     elif [ "${UNAME_M}" = "s390x" ]; then         INSTALLER_URL="${INSTALLER_URL_S390X}";         SHA256SUM="${SHA256SUM_S390X}";     elif [ "${UNAME_M}" = "aarch64" ]; then         INSTALLER_URL="${INSTALLER_URL_AARCH64}";         SHA256SUM="${SHA256SUM_AARCH64}";     fi &&     wget "${INSTALLER_URL}" -O miniconda.sh -q &&     echo "${SHA256SUM} miniconda.sh" > shasum &&     sha256sum --check --status shasum &&     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
                        
# 2025-02-08 00:38:38  0.00B 定义构建参数
ARG SHA256SUM_AARCH64=ae9d3ea83df97e78fd51c452d0bc75005a28d504c22db6f1000822293f916b54
                        
# 2025-02-08 00:38:38  0.00B 定义构建参数
ARG INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py312_25.1.1-0-Linux-aarch64.sh
                        
# 2025-02-08 00:38:38  0.00B 定义构建参数
ARG SHA256SUM_S390X=fa0b443ea73c71abd29eb51212c7b032d5089cbb2761aa07f91668b903a2a575
                        
# 2025-02-08 00:38:38  0.00B 定义构建参数
ARG INSTALLER_URL_S390X=https://repo.anaconda.com/miniconda/Miniconda3-py312_25.1.1-0-Linux-s390x.sh
                        
# 2025-02-08 00:38:38  0.00B 定义构建参数
ARG SHA256SUM_LINUX64=832de27a5a35b7963f0d83466abada3eb138e51985255f190e0dc350427a9dd1
                        
# 2025-02-08 00:38:38  0.00B 定义构建参数
ARG INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py312_25.1.1-0-Linux-x86_64.sh
                        
# 2025-02-08 00:38:38  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2025-02-08 00:38:38  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
                        
# 2025-02-08 00:38:38  176.71MB 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
                        
# 2025-02-08 00:38:38  0.00B 设置环境变量 LANG LC_ALL
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
                        
# 2025-02-08 00:38:38  0.00B 添加元数据标签
LABEL maintainer=Anaconda, Inc
                        
# 2025-02-03 08:00:00  74.77MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1738540800'
                        
                    

镜像信息

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更多版本

docker.io/sounos/xinference:v1.7.1

linux/arm64 docker.io3.35GB2025-08-27 16:14
10

docker.io/sounos/xinference:v1.7.1

linux/amd64 docker.io8.53GB2025-08-28 00:55
7