docker.io/rayproject/ray:2.34.0 linux/amd64

docker.io/rayproject/ray:2.34.0 - 国内下载镜像源 浏览次数:32
_rayproject/ray_ RAY 是一个基于 Python 的高性能计算框架,可以在多种环境中运行,包括本地、云和集群。Ray 提供了高效的并行计算能力,并且可以与其他库和框架集成。 -Ray 的主要特点有: * 高性能:Ray 使用了高性能的编译器和执行引擎,可以在多种环境中运行。 * 可扩展性:Ray 可以轻松地 scales to thousands of machines and can handle large-scale computations. * 可组合性:Ray 可以与其他库和框架集成,例如 TensorFlow、PyTorch 和 scikit-learn。 总的来说,《RAY》是一个功能强大且灵活的计算框架,可以满足各种计算需求。
源镜像 docker.io/rayproject/ray:2.34.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.34.0
镜像ID sha256:36adde223ebbff6b908da1c4d5bf0299750386dddda8b19ed5e57b6e975a7264
镜像TAG 2.34.0
大小 2.22GB
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 /home/ray
OS/平台 linux/amd64
浏览量 32 次
贡献者
镜像创建 2024-07-29T20:35:26.330302079Z
同步时间 2025-02-13 11:57
更新时间 2025-02-22 06:23
环境变量
PATH=/home/ray/anaconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin TZ=America/Los_Angeles LC_ALL=C.UTF-8 LANG=C.UTF-8 HOME=/home/ray
镜像标签
ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2025-02-13 11:59

低危漏洞:63 中危漏洞:56 高危漏洞:8 严重漏洞:0

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.34.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.34.0  docker.io/rayproject/ray:2.34.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.34.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.34.0  docker.io/rayproject/ray:2.34.0

Shell快速替换命令

sed -i 's#rayproject/ray:2.34.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.34.0#' 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/rayproject/ray:2.34.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.34.0  docker.io/rayproject/ray:2.34.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.34.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.34.0  docker.io/rayproject/ray:2.34.0'

镜像构建历史


# 2024-07-30 04:35:26  4.22KB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.34.0-cp39-cp39-manylinux2014_x86_64.whl FIND_LINKS_PATH=.whl CONSTRAINTS_FILE=requirements_compiled.txt /bin/bash -c $HOME/anaconda3/bin/pip freeze > /home/ray/pip-freeze.txt # buildkit
                        
# 2024-07-30 04:35:25  856.33MB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.34.0-cp39-cp39-manylinux2014_x86_64.whl FIND_LINKS_PATH=.whl CONSTRAINTS_FILE=requirements_compiled.txt /bin/bash -c $HOME/anaconda3/bin/pip --no-cache-dir install -c $CONSTRAINTS_FILE     `basename $WHEEL_PATH`[all]     --find-links $FIND_LINKS_PATH && sudo rm `basename $WHEEL_PATH` # buildkit
                        
# 2024-07-30 04:34:30  92.65MB 复制新文件或目录到容器中
COPY .whl .whl # buildkit
                        
# 2024-07-30 04:34:29  64.92MB 复制新文件或目录到容器中
COPY .whl/ray-2.34.0-cp39-cp39-manylinux2014_x86_64.whl . # buildkit
                        
# 2024-07-30 04:34:28  60.82KB 复制新文件或目录到容器中
COPY requirements_compiled.txt ./ # buildkit
                        
# 2024-07-30 04:34:28  0.00B 定义构建参数
ARG CONSTRAINTS_FILE=requirements_compiled.txt
                        
# 2024-07-30 04:34:28  0.00B 定义构建参数
ARG FIND_LINKS_PATH=.whl
                        
# 2024-07-30 04:34:28  0.00B 定义构建参数
ARG WHEEL_PATH
                        
# 2024-07-30 00:16:31  0.00B 设置工作目录为/home/ray
WORKDIR /home/ray
                        
# 2024-07-30 00:16:31  1.12GB 执行命令并创建新的镜像层
RUN |7 BASE_IMAGE=ubuntu:22.04 AUTOSCALER=autoscaler DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.9 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/bash -c sudo apt-get update -y && sudo apt-get upgrade -y     && sudo apt-get install -y         git         libjemalloc-dev         wget         cmake         g++         zlib1g-dev         $(if [ "$AUTOSCALER" = "autoscaler" ]; then echo         tmux         screen         rsync         netbase         openssh-client         gnupg; fi)     && wget --quiet         "https://repo.anaconda.com/miniconda/Miniconda3-py311_24.4.0-0-Linux-${HOSTTYPE}.sh"         -O /tmp/miniconda.sh     && /bin/bash /tmp/miniconda.sh -b -u -p $HOME/anaconda3     && $HOME/anaconda3/bin/conda init     && echo 'export PATH=$HOME/anaconda3/bin:$PATH' >> /home/ray/.bashrc     && rm /tmp/miniconda.sh      && $HOME/anaconda3/bin/conda install -y libgcc-ng python=$PYTHON_VERSION     && $HOME/anaconda3/bin/conda install -y -c conda-forge libffi=3.4.2     && $HOME/anaconda3/bin/conda clean -y --all     && $HOME/anaconda3/bin/pip install --no-cache-dir         flatbuffers         cython==0.29.37         numpy\>=1.20         psutil     && $HOME/anaconda3/bin/pip uninstall -y dask     && sudo apt-get autoremove -y cmake zlib1g-dev         $(if [[ "$BASE_IMAGE" == "ubuntu:22.04" && "$HOSTTYPE" == "x86_64" ]]; then echo         g++; fi)     && sudo rm -rf /var/lib/apt/lists/*     && sudo apt-get clean     && (if [ "$AUTOSCALER" = "autoscaler" ];         then $HOME/anaconda3/bin/pip --no-cache-dir install         "redis>=3.5.0,<4.0.0"         "six==1.13.0"         "boto3==1.26.76"         "pyOpenSSL==22.1.0"         "cryptography==38.0.1"         "google-api-python-client==1.7.8"         "google-oauth"         "azure-cli-core==2.40.0"         "azure-identity==1.10.0"         "azure-mgmt-compute==23.1.0"         "azure-mgmt-network==19.0.0"         "azure-mgmt-resource==20.0.0"         "msrestazure==0.6.4";     fi;) # buildkit
                        
# 2024-07-30 00:15:07  0.00B 
SHELL [/bin/bash -c]
                        
# 2024-07-30 00:15:07  0.00B 设置环境变量 HOME
ENV HOME=/home/ray
                        
# 2024-07-30 00:15:07  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2024-07-30 00:15:07  6.80MB 执行命令并创建新的镜像层
RUN |7 BASE_IMAGE=ubuntu:22.04 AUTOSCALER=autoscaler DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.9 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/sh -c apt-get update -y     && apt-get install -y sudo tzdata     && useradd -ms /bin/bash -d /home/ray ray --uid $RAY_UID --gid $RAY_GID     && usermod -aG sudo ray     && echo 'ray ALL=NOPASSWD: ALL' >> /etc/sudoers     && rm -rf /var/lib/apt/lists/*     && apt-get clean # buildkit
                        
# 2024-07-30 00:15:07  0.00B 定义构建参数
ARG RAY_GID=100
                        
# 2024-07-30 00:15:07  0.00B 定义构建参数
ARG RAY_UID=1000
                        
# 2024-07-30 00:15:07  0.00B 定义构建参数
ARG HOSTTYPE=x86_64
                        
# 2024-07-30 00:15:07  0.00B 定义构建参数
ARG PYTHON_VERSION=3.8.16
                        
# 2024-07-30 00:15:07  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2024-07-30 00:15:07  0.00B 设置环境变量 PATH
ENV PATH=/home/ray/anaconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-07-30 00:15:07  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2024-07-30 00:15:07  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2024-07-30 00:15:07  0.00B 设置环境变量 TZ
ENV TZ=America/Los_Angeles
                        
# 2024-07-30 00:15:07  0.00B 定义构建参数
ARG AUTOSCALER=autoscaler
                        
# 2024-07-30 00:15:07  0.00B 定义构建参数
ARG BASE_IMAGE
                        
# 2024-06-28 04:10:12  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-06-28 04:10:12  77.86MB 
/bin/sh -c #(nop) ADD file:d5da92199726e42da09a6f75a778befb607fe3f79e4afaf7ef5188329b26b386 in / 
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
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        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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