docker.io/rayproject/ray:2.52.0 linux/amd64

docker.io/rayproject/ray:2.52.0 - 国内下载镜像源 浏览次数:15
_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:2.52.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.52.0
镜像ID sha256:89a409864ede42e7bcd9de9dd956c45ef3889d9d5f8518ec91d2f2d16d843f94
镜像TAG 2.52.0
大小 2.13GB
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 15 次
贡献者
镜像创建 2025-11-19T23:56:44.343189795Z
同步时间 2026-03-11 14:46
环境变量
PATH=/home/ray/anaconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin TZ=America/Los_Angeles LC_ALL=C.UTF-8 LANG=C.UTF-8 LD_LIBRARY_PATH=:/usr/local/nvidia/lib64 HOME=/home/ray
镜像标签
9527a555280fb9837ce73dabf01559c20656a456: io.ray.ray-commit 2.52.0: io.ray.ray-version ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.52.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.52.0  docker.io/rayproject/ray:2.52.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.52.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.52.0  docker.io/rayproject/ray:2.52.0

Shell快速替换命令

sed -i 's#rayproject/ray:2.52.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.52.0#' 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:2.52.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.52.0  docker.io/rayproject/ray:2.52.0'

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:2.52.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.52.0  docker.io/rayproject/ray:2.52.0'

镜像构建历史


# 2025-11-20 07:56:44  5.06KB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.52.0-cp310-cp310-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
                        
# 2025-11-20 07:56:43  831.65MB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.52.0-cp310-cp310-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
                        
# 2025-11-20 07:56:08  87.37MB 复制新文件或目录到容器中
COPY .whl .whl # buildkit
                        
# 2025-11-20 07:56:08  72.08MB 复制新文件或目录到容器中
COPY .whl/ray-2.52.0-cp310-cp310-manylinux2014_x86_64.whl . # buildkit
                        
# 2025-11-20 07:56:08  0.00B 定义构建参数
ARG CONSTRAINTS_FILE=requirements_compiled.txt
                        
# 2025-11-20 07:56:08  0.00B 定义构建参数
ARG FIND_LINKS_PATH=.whl
                        
# 2025-11-20 07:56:08  0.00B 定义构建参数
ARG WHEEL_PATH
                        
# 2025-11-17 14:12:55  0.00B 设置工作目录为/home/ray
WORKDIR /home/ray
                        
# 2025-11-17 14:12:55  617.55MB 执行命令并创建新的镜像层
RUN |4 DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.10 RAY_UID=1000 RAY_GID=100 /bin/bash -c /dev/pipes/EOF # buildkit
                        
# 2025-11-17 14:12:01  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-11-17 14:12:01  61.72KB 复制新文件或目录到容器中
COPY python/requirements_compiled.txt /home/ray/requirements_compiled.txt # buildkit
                        
# 2025-11-17 14:12:01  0.00B 设置工作目录为/home/ray
WORKDIR /home/ray
                        
# 2025-11-17 14:12:01  0.00B 设置环境变量 HOME
ENV HOME=/home/ray
                        
# 2025-11-17 14:12:01  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-11-17 14:12:01  445.25MB 执行命令并创建新的镜像层
RUN |4 DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.10 RAY_UID=1000 RAY_GID=100 /bin/sh -c /dev/pipes/EOF # buildkit
                        
# 2025-11-17 14:12:01  0.00B 定义构建参数
ARG RAY_GID=100
                        
# 2025-11-17 14:12:01  0.00B 定义构建参数
ARG RAY_UID=1000
                        
# 2025-11-17 14:12:01  0.00B 定义构建参数
ARG PYTHON_VERSION=3.9
                        
# 2025-11-17 14:12:01  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2025-11-17 14:12:01  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=:/usr/local/nvidia/lib64
                        
# 2025-11-17 14:12:01  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:/usr/local/nvidia/bin
                        
# 2025-11-17 14:12:01  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-11-17 14:12:01  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2025-11-17 14:12:01  0.00B 设置环境变量 TZ
ENV TZ=America/Los_Angeles
                        
# 2025-10-14 01:23:20  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-10-14 01:23:20  77.87MB 
/bin/sh -c #(nop) ADD file:d025507456f1d7d19195885b1c02a346454d60c9348cbd3be92431f2d7e2666e in / 
                        
# 2025-10-14 01:23:18  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-10-14 01:23:18  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-10-14 01:23:18  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-10-14 01:23:18  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Comment": "buildkit.dockerfile.v0",
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