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docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu linux/amd64

docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu - 国内下载镜像源 浏览次数:9
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Ray ML

基于Apache Ray的机器学习框架。支持分布式训练、在线服务和批处理预测等场景,提供高性能、高并发性和易用性的机器学习体验。

源镜像 docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu
镜像ID sha256:aebb352d9a83a92eaaeb3ca986abf1979e32bd618d7ffd1b37d94451a5d75588
镜像TAG 2.46.0.0e19ea-py311-cpu
大小 12.73GB
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 9 次
贡献者
镜像创建 2025-05-08T05:55:46.125258033Z
同步时间 2026-03-27 01:56
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

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu  docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu  docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu

Shell快速替换命令

sed -i 's#rayproject/ray-ml:2.46.0.0e19ea-py311-cpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-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-ml:2.46.0.0e19ea-py311-cpu && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu  docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-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-ml:2.46.0.0e19ea-py311-cpu && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu  docker.io/rayproject/ray-ml:2.46.0.0e19ea-py311-cpu'

镜像构建历史


# 2025-05-08 13:55:46  10.61KB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.46.0-cp311-cp311-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
                        
# 2025-05-08 13:55:45  232.61MB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.46.0-cp311-cp311-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
                        
# 2025-05-08 13:55:33  97.43MB 复制新文件或目录到容器中
COPY .whl .whl # buildkit
                        
# 2025-05-08 13:55:32  68.47MB 复制新文件或目录到容器中
COPY .whl/ray-2.46.0-cp311-cp311-manylinux2014_x86_64.whl . # buildkit
                        
# 2025-05-08 13:55:32  0.00B 定义构建参数
ARG CONSTRAINTS_FILE=requirements_compiled.txt
                        
# 2025-05-08 13:55:32  0.00B 定义构建参数
ARG FIND_LINKS_PATH=.whl
                        
# 2025-05-08 13:55:32  0.00B 定义构建参数
ARG WHEEL_PATH
                        
# 2025-05-06 01:38:33  0.00B 执行命令并创建新的镜像层
RUN /bin/bash -c python -c "import tensorflow_probability" # buildkit
                        
# 2025-05-06 01:38:33  10.43KB 执行命令并创建新的镜像层
RUN /bin/bash -c $HOME/anaconda3/bin/pip freeze > /home/ray/pip-freeze.txt # buildkit
                        
# 2025-05-06 01:38:32  11.17GB 执行命令并创建新的镜像层
RUN /bin/bash -c sudo chmod +x install-ml-docker-requirements.sh     && ./install-ml-docker-requirements.sh # buildkit
                        
# 2025-05-06 01:30:35  2.09KB 复制新文件或目录到容器中
COPY docker/ray-ml/install-ml-docker-requirements.sh ./ # buildkit
                        
# 2025-05-06 01:30:35  6.56KB 复制新文件或目录到容器中
COPY python/*requirements.txt python/requirements/ml/*requirements.txt python/requirements/docker/*requirements.txt ./ # buildkit
                        
# 2025-05-06 01:28:02  0.00B 设置工作目录为/home/ray
WORKDIR /home/ray
                        
# 2025-05-06 01:28:02  648.29MB 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=3.11 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/bash -c /dev/pipes/EOF # buildkit
                        
# 2025-05-06 01:27:07  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-05-06 01:27:07  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
                        
# 2025-05-06 01:27:07  0.00B 设置环境变量 HOME
ENV HOME=/home/ray
                        
# 2025-05-06 01:27:07  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-05-06 01:27:07  436.99MB 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=3.11 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/sh -c /dev/pipes/EOF # buildkit
                        
# 2025-05-06 01:27:07  0.00B 定义构建参数
ARG RAY_GID=100
                        
# 2025-05-06 01:27:07  0.00B 定义构建参数
ARG RAY_UID=1000
                        
# 2025-05-06 01:27:07  0.00B 定义构建参数
ARG HOSTTYPE=x86_64
                        
# 2025-05-06 01:27:07  0.00B 定义构建参数
ARG PYTHON_VERSION=3.9
                        
# 2025-05-06 01:27:07  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2025-05-06 01:27:07  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
                        
# 2025-05-06 01:27:07  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-05-06 01:27:07  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2025-05-06 01:27:07  0.00B 设置环境变量 TZ
ENV TZ=America/Los_Angeles
                        
# 2025-05-06 01:27:07  0.00B 定义构建参数
ARG AUTOSCALER=autoscaler
                        
# 2025-05-06 01:27:07  0.00B 定义构建参数
ARG BASE_IMAGE
                        
# 2025-04-28 17:44:42  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-04-28 17:44:42  77.86MB 
/bin/sh -c #(nop) ADD file:59e67123ba6a5d9eea9813e7b2a767696f767c15c5b23c61c4d5bd6ba6fa9ac6 in / 
                        
# 2025-04-28 17:44:40  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-04-28 17:44:40  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-04-28 17:44:40  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-04-28 17:44:40  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Id": "sha256:aebb352d9a83a92eaaeb3ca986abf1979e32bd618d7ffd1b37d94451a5d75588",
    "RepoTags": [
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    "RepoDigests": [
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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-05-08T05:55:46.125258033Z",
    "Container": "",
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    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "1000",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/home/ray/anaconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "TZ=America/Los_Angeles",
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            "LANG=C.UTF-8",
            "HOME=/home/ray"
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        "Cmd": [
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 12729374107,
    "GraphDriver": {
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}

更多版本

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