docker.io/rayproject/ray-ml:2.46.0.0e19ea-py310-cpu linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py310-cpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py310-cpu  docker.io/rayproject/ray-ml:2.46.0.0e19ea-py310-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-py310-cpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py310-cpu  docker.io/rayproject/ray-ml:2.46.0.0e19ea-py310-cpu

Shell快速替换命令

sed -i 's#rayproject/ray-ml:2.46.0.0e19ea-py310-cpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-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-ml:2.46.0.0e19ea-py310-cpu && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py310-cpu  docker.io/rayproject/ray-ml:2.46.0.0e19ea-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-ml:2.46.0.0e19ea-py310-cpu && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray-ml:2.46.0.0e19ea-py310-cpu  docker.io/rayproject/ray-ml:2.46.0.0e19ea-py310-cpu'

镜像构建历史

# 2025-05-08 13:55:23  10.64KB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.46.0-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
                        
# 2025-05-08 13:55:22  215.65MB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-2.46.0-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
                        
# 2025-05-08 13:55:08  97.32MB 复制新文件或目录到容器中
COPY .whl .whl # buildkit
                        
# 2025-05-08 13:55:07  68.36MB 复制新文件或目录到容器中
COPY .whl/ray-2.46.0-cp310-cp310-manylinux2014_x86_64.whl . # buildkit
                        
# 2025-05-08 13:55:07  0.00B 定义构建参数
ARG CONSTRAINTS_FILE=requirements_compiled.txt
                        
# 2025-05-08 13:55:07  0.00B 定义构建参数
ARG FIND_LINKS_PATH=.whl
                        
# 2025-05-08 13:55:07  0.00B 定义构建参数
ARG WHEEL_PATH
                        
# 2025-05-06 01:36:30  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 01:36:29  10.46KB 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 01:36:28  10.86GB 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 01:30:23  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 01:30:23  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 01:27:39  0.00B 设置工作目录为/home/ray
WORKDIR /home/ray
                        
# 2025-05-06 01:27:39  606.66MB 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
                        
# 2025-05-06 01:26:50  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-05-06 01:26:50  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 01:26:50  0.00B 设置环境变量 HOME
ENV HOME=/home/ray
                        
# 2025-05-06 01:26:50  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-05-06 01:26:50  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=3.10 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/sh -c /dev/pipes/EOF # buildkit
                        
# 2025-05-06 01:26:50  0.00B 定义构建参数
ARG RAY_GID=100
                        
# 2025-05-06 01:26:50  0.00B 定义构建参数
ARG RAY_UID=1000
                        
# 2025-05-06 01:26:50  0.00B 定义构建参数
ARG HOSTTYPE=x86_64
                        
# 2025-05-06 01:26:50  0.00B 定义构建参数
ARG PYTHON_VERSION=3.9
                        
# 2025-05-06 01:26:50  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2025-05-06 01:26:50  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 01:26:50  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-05-06 01:26:50  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2025-05-06 01:26:50  0.00B 设置环境变量 TZ
ENV TZ=America/Los_Angeles
                        
# 2025-05-06 01:26:50  0.00B 定义构建参数
ARG AUTOSCALER=autoscaler
                        
# 2025-05-06 01:26:50  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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        "OpenStdin": false,
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        "Env": [
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