docker.io/rayproject/ray:2.46.0-py39-cpu linux/amd64

docker.io/rayproject/ray:2.46.0-py39-cpu - 国内下载镜像源 浏览次数:17
_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:2.46.0-py39-cpu
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.46.0-py39-cpu
镜像ID sha256:184471cfa0c8cf381503e17d626d5ad3ec498e730c0262b081abc52229d56ecf
镜像TAG 2.46.0-py39-cpu
大小 2.09GB
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 17 次
贡献者 20*******4@stu.ppsuc.edu.cn
镜像创建 2025-05-04T17:43:58.626591239Z
同步时间 2025-09-24 20:05
更新时间 2025-09-26 23:20
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
无权限下载?点我修复 生成Docker Run命令 生成Kubernetes YAML资源

Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.46.0-py39-cpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.46.0-py39-cpu  docker.io/rayproject/ray:2.46.0-py39-cpu

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.46.0-py39-cpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.46.0-py39-cpu  docker.io/rayproject/ray:2.46.0-py39-cpu

Shell快速替换命令 

sed -i 's#rayproject/ray:2.46.0-py39-cpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.46.0-py39-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/rayproject/ray:2.46.0-py39-cpu && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.46.0-py39-cpu  docker.io/rayproject/ray:2.46.0-py39-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/rayproject/ray:2.46.0-py39-cpu && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.46.0-py39-cpu  docker.io/rayproject/ray:2.46.0-py39-cpu'

镜像构建历史 


# 2025-05-05 01:43:58  4.58KB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.46.0-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
                        
# 2025-05-05 01:43:57  806.23MB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.46.0-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
                        
# 2025-05-05 01:43:13  97.33MB 复制新文件或目录到容器中
COPY .whl .whl # buildkit
                        
# 2025-05-05 01:43:12  68.37MB 复制新文件或目录到容器中
COPY .whl/ray-2.46.0-cp39-cp39-manylinux2014_x86_64.whl . # buildkit
                        
# 2025-05-05 01:43:12  0.00B 定义构建参数
ARG CONSTRAINTS_FILE=requirements_compiled.txt
                        
# 2025-05-05 01:43:12  0.00B 定义构建参数
ARG FIND_LINKS_PATH=.whl
                        
# 2025-05-05 01:43:12  0.00B 定义构建参数
ARG WHEEL_PATH
                        
# 2025-05-03 08:10:16  0.00B 设置工作目录为/home/ray
WORKDIR /home/ray
                        
# 2025-05-03 08:10:16  598.46MB 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 /dev/pipes/EOF # buildkit
                        
# 2025-05-03 08:09:27  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-05-03 08:09:27  60.07KB 复制新文件或目录到容器中
COPY python/requirements_compiled.txt /home/ray/requirements_compiled.txt # buildkit
                        
# 2025-05-03 08:09:27  0.00B 设置环境变量 HOME
ENV HOME=/home/ray
                        
# 2025-05-03 08:09:27  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-05-03 08:09:27  444.16MB 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 /dev/pipes/EOF # buildkit
                        
# 2025-05-03 08:09:27  0.00B 定义构建参数
ARG RAY_GID=100
                        
# 2025-05-03 08:09:27  0.00B 定义构建参数
ARG RAY_UID=1000
                        
# 2025-05-03 08:09:27  0.00B 定义构建参数
ARG HOSTTYPE=x86_64
                        
# 2025-05-03 08:09:27  0.00B 定义构建参数
ARG PYTHON_VERSION=3.9
                        
# 2025-05-03 08:09:27  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2025-05-03 08:09:27  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
                        
# 2025-05-03 08:09:27  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-05-03 08:09:27  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2025-05-03 08:09:27  0.00B 设置环境变量 TZ
ENV TZ=America/Los_Angeles
                        
# 2025-05-03 08:09:27  0.00B 定义构建参数
ARG AUTOSCALER=autoscaler
                        
# 2025-05-03 08:09:27  0.00B 定义构建参数
ARG BASE_IMAGE
                        
# 2025-04-07 15:24:18  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-04-07 15:24:17  77.86MB 
/bin/sh -c #(nop) ADD file:433cf0b8353e08be3a6582ad5947c57a66bdbb842ed3095246a1ff6876d157f1 in / 
                        
# 2025-04-07 15:24:14  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-04-07 15:24:14  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-04-07 15:24:14  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-04-07 15:24:14  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

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    "Comment": "buildkit.dockerfile.v0",
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    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "1000",
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        "Tty": false,
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        "Env": [
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 2092475103,
    "GraphDriver": {
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更多版本

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docker.io/rayproject/ray:2.46.0

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docker.io/rayproject/ray:2.46.0-py39-cpu

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16