docker.io/rayproject/ray:2.44.0-py310-cpu linux/amd64

docker.io/rayproject/ray:2.44.0-py310-cpu - 国内下载镜像源 浏览次数:55
_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:2.44.0-py310-cpu
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.44.0-py310-cpu
镜像ID sha256:88c61924e84f4e77656e987a219ccebf71fb687a6d6fa5a0845117dc530e0df0
镜像TAG 2.44.0-py310-cpu
大小 2.08GB
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 55 次
贡献者
镜像创建 2025-03-18T17:44:53.423885008Z
同步时间 2025-07-08 11:06
更新时间 2025-07-29 14:35
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:2.44.0-py310-cpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.44.0-py310-cpu  docker.io/rayproject/ray:2.44.0-py310-cpu

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.44.0-py310-cpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.44.0-py310-cpu  docker.io/rayproject/ray:2.44.0-py310-cpu

Shell快速替换命令 

sed -i 's#rayproject/ray:2.44.0-py310-cpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.44.0-py310-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:2.44.0-py310-cpu && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.44.0-py310-cpu  docker.io/rayproject/ray:2.44.0-py310-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:2.44.0-py310-cpu && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.44.0-py310-cpu  docker.io/rayproject/ray:2.44.0-py310-cpu'

镜像构建历史 


# 2025-03-19 01:44:53  4.46KB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.44.0-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
                        
# 2025-03-19 01:44:52  796.65MB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.44.0-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
                        
# 2025-03-19 01:44:13  96.87MB 复制新文件或目录到容器中
COPY .whl .whl # buildkit
                        
# 2025-03-19 01:44:12  67.95MB 复制新文件或目录到容器中
COPY .whl/ray-2.44.0-cp310-cp310-manylinux2014_x86_64.whl . # buildkit
                        
# 2025-03-19 01:44:12  0.00B 定义构建参数
ARG CONSTRAINTS_FILE=requirements_compiled.txt
                        
# 2025-03-19 01:44:12  0.00B 定义构建参数
ARG FIND_LINKS_PATH=.whl
                        
# 2025-03-19 01:44:12  0.00B 定义构建参数
ARG WHEEL_PATH
                        
# 2025-03-18 00:11:23  0.00B 设置工作目录为/home/ray
WORKDIR /home/ray
                        
# 2025-03-18 00:11:23  585.00MB 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=3.10 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/bash -c /dev/pipes/EOF # buildkit
                        
# 2025-03-18 00:10:25  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-03-18 00:10:25  58.66KB 复制新文件或目录到容器中
COPY python/requirements_compiled.txt /home/ray/requirements_compiled.txt # buildkit
                        
# 2025-03-18 00:10:25  0.00B 设置环境变量 HOME
ENV HOME=/home/ray
                        
# 2025-03-18 00:10:25  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-03-18 00:10:25  460.27MB 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=3.10 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/sh -c /dev/pipes/EOF # buildkit
                        
# 2025-03-18 00:10:25  0.00B 定义构建参数
ARG RAY_GID=100
                        
# 2025-03-18 00:10:25  0.00B 定义构建参数
ARG RAY_UID=1000
                        
# 2025-03-18 00:10:25  0.00B 定义构建参数
ARG HOSTTYPE=x86_64
                        
# 2025-03-18 00:10:25  0.00B 定义构建参数
ARG PYTHON_VERSION=3.9
                        
# 2025-03-18 00:10:25  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2025-03-18 00:10:25  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
                        
# 2025-03-18 00:10:25  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-03-18 00:10:25  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2025-03-18 00:10:25  0.00B 设置环境变量 TZ
ENV TZ=America/Los_Angeles
                        
# 2025-03-18 00:10:25  0.00B 定义构建参数
ARG AUTOSCALER=autoscaler
                        
# 2025-03-18 00:10:25  0.00B 定义构建参数
ARG BASE_IMAGE
                        
# 2025-01-26 13:31:11  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-01-26 13:31:10  77.86MB 
/bin/sh -c #(nop) ADD file:1b6c8c9518be42fa2afe5e241ca31677fce58d27cdfa88baa91a65a259be3637 in / 
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

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    "Architecture": "amd64",
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    "GraphDriver": {
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