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docker.io/adamrehn/ue4-runtime:22.04-cudagl11
linux/amd64 docker.io
镜像描述:

这是一个基于Docker的 Unreal Engine 4 运行时环境镜像。它允许您轻松地部署和运行 UE4 项目，免去了在本机上安装 UE4 的麻烦。
此镜像支持各种操作系统，如 Linux、Windows 和 macOS。
可以通过以下命令拉取镜像并启动一个基于此镜像的容器： docker pull docker.io/adamrehn/ue4-runtime docker run -it --rm docker.io/adamrehn/ue4-runtime /bin/bash
详细信息请参考镜像维护者提供的README文档。

523
浏览次数
699.05MB
镜像大小
源镜像
docker.io/adamrehn/ue4-runtime:22.04-cudagl11
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime:22.04-cudagl11
镜像ID
sha256:501b9e1dc13f34135b5898788f83401dc6ff30c97aee914951efbe24ecb635e5
镜像 TAG
22.04-cudagl11
镜像大小
699.05MB
平台架构
linux/amd64
镜像源
docker.io
项目信息
Hub 主页 所有 TAG
CMD
/bin/bash
启动入口
工作目录
OS/平台
linux/amd64
镜像创建
2023-07-20T16:13:09.463167696+10:00
同步时间
2024-10-18 10:37
浏览量
523 次
贡献者
⚙️ 环境变量 11
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=x86_64 1
NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516 2
NV_CUDA_CUDART_VERSION=11.8.89-1 3
NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8 4
CUDA_VERSION=11.8.0 5
LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:/usr/lib/i386-linux-gnu:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 6
NVIDIA_VISIBLE_DEVICES=all 7
NVIDIA_DRIVER_CAPABILITIES=compute,utility,graphics,compat32,utility,compute,display,video 8
DEBIAN_FRONTEND=noninteractive 9
SDL_AUDIODRIVER=pulse 10
🏷️ 镜像标签 3
KeyValue
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
22.04 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 22.04 Trivy 2024-10-27 12:23 查看完整报告
88
低危 LOW
90
中危 MEDIUM
2
高危 HIGH
0
严重 CRITICAL
受影响目标 (1)
docker.io/adamrehn/ue4-runtime:22.04-cudagl11 (ubuntu 22.04) ubuntu
无权限下载？点我修复 生成 Docker Run 命令 生成 Kubernetes YAML

Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime:22.04-cudagl11
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime:22.04-cudagl11  docker.io/adamrehn/ue4-runtime:22.04-cudagl11

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime:22.04-cudagl11
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime:22.04-cudagl11  docker.io/adamrehn/ue4-runtime:22.04-cudagl11

Shell快速替换命令 

sed -i 's#adamrehn/ue4-runtime:22.04-cudagl11#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime:22.04-cudagl11#' 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/adamrehn/ue4-runtime:22.04-cudagl11 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime:22.04-cudagl11  docker.io/adamrehn/ue4-runtime:22.04-cudagl11'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime:22.04-cudagl11 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime:22.04-cudagl11  docker.io/adamrehn/ue4-runtime:22.04-cudagl11'

镜像构建历史 


# 2023-07-20 14:13:09  0.00B 设置环境变量 SDL_AUDIODRIVER
ENV SDL_AUDIODRIVER=pulse
                        
# 2023-07-20 14:13:09  0.00B 指定运行容器时使用的用户
USER ue4
                        
# 2023-07-20 14:13:09  334.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /usr/bin/entrypoint.sh # buildkit
                        
# 2023-07-20 14:13:09  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-07-20 14:13:09  334.00B 复制新文件或目录到容器中
COPY entrypoint.sh /usr/bin/entrypoint.sh # buildkit
                        
# 2023-07-20 14:13:09  326.00B 复制新文件或目录到容器中
COPY pulseaudio-default.pa /etc/pulse/default.pa # buildkit
                        
# 2023-07-20 14:13:08  134.00B 复制新文件或目录到容器中
COPY pulseaudio-daemon.conf /etc/pulse/daemon.conf # buildkit
                        
# 2023-07-20 14:13:08  101.00B 复制新文件或目录到容器中
COPY pulseaudio-client.conf /etc/pulse/client.conf # buildkit
                        
# 2023-07-20 14:13:08  0.00B 指定运行容器时使用的用户
USER ue4
                        
# 2023-07-20 14:13:08  52.16MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends pulseaudio # buildkit
                        
# 2023-07-20 14:13:08  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-07-20 14:12:32  0.00B 指定运行容器时使用的用户
USER ue4
                        
# 2023-07-20 14:12:32  333.76KB 执行命令并创建新的镜像层
RUN /bin/sh -c useradd --create-home --home /home/ue4 --shell /bin/bash --uid 1000 ue4 && 	usermod -a -G audio,video ue4 # buildkit
                        
# 2023-07-20 14:12:31  1.34MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends xdg-user-dirs # buildkit
                        
# 2023-07-20 14:12:23  1.79MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libvulkan1 && 	VULKAN_API_VERSION=`dpkg -s libvulkan1 | grep -oP 'Version: [0-9|\.]+' | grep -oP '[0-9|\.]+'` && 	mkdir -p /etc/vulkan/icd.d/ && 	echo 	"{		\"file_format_version\" : \"1.0.0\",		\"ICD\": {			\"library_path\": \"libGLX_nvidia.so.0\",			\"api_version\" : \"${VULKAN_API_VERSION}\"		}	}" > /etc/vulkan/icd.d/nvidia_icd.json # buildkit
                        
# 2023-07-20 14:11:54  51.00B 执行命令并创建新的镜像层
RUN /bin/sh -c rm -f /etc/apt/apt.conf.d/docker-clean; echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' > /etc/apt/apt.conf.d/keep-cache # buildkit
                        
# 2023-07-20 14:11:54  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility,graphics,compat32,utility,compute,display,video
                        
# 2023-07-20 14:11:54  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility,graphics,compat32,utility,compute,display
                        
# 2023-07-20 14:11:54  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility,graphics,compat32,utility,compute
                        
# 2023-07-20 14:11:54  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-07-20 11:16:44  107.00B 复制新文件或目录到容器中
COPY 10_nvidia.json /usr/share/glvnd/egl_vendor.d/10_nvidia.json # buildkit
                        
# 2023-07-20 11:16:43  384.96MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends         libglvnd0 libglvnd0:i386         libgl1 libgl1:i386         libglx0 libglx0:i386         libegl1 libegl1:i386         libgles2 libgles2:i386 &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-07-20 11:16:43  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-07-20 11:13:57  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:/usr/lib/i386-linux-gnu:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-07-20 11:13:57  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-07-20 11:13:56  92.00B 执行命令并创建新的镜像层
RUN /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf &&     echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2023-07-20 11:13:55  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility,graphics,compat32,utility
                        
# 2023-07-20 11:13:55  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-07-20 11:13:55  19.39MB 执行命令并创建新的镜像层
RUN /bin/sh -c dpkg --add-architecture i386 &&     apt-get update && apt-get install -y --no-install-recommends         libxau6 libxau6:i386         libxdmcp6 libxdmcp6:i386         libxcb1 libxcb1:i386         libxext6 libxext6:i386         libx11-6 libx11-6:i386 &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-07-20 11:13:55  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-06-21 08:40:42  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-06-21 08:40:42  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-06-21 08:40:42  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-06-21 08:40:42  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-06-21 08:40:42  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-06-21 08:40:42  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2023-06-21 08:40:41  150.67MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-06-21 08:40:25  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
                        
# 2023-06-21 08:40:25  10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-06-21 08:40:25  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-06-21 08:40:25  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-06-21 08:40:25  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
                        
# 2023-06-21 08:40:25  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
                        
# 2023-06-21 08:40:25  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516
                        
# 2023-06-21 08:40:25  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-06-06 01:00:39  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-06-06 01:00:39  77.81MB 
/bin/sh -c #(nop) ADD file:0ad2ee2cfb186802f49c9bf4148674d1c6fc201f83478ec01ffaa7086d491323 in / 
                        
# 2023-06-06 01:00:37  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-06-06 01:00:37  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-06-06 01:00:37  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-06-06 01:00:37  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

{
    "Id": "sha256:501b9e1dc13f34135b5898788f83401dc6ff30c97aee914951efbe24ecb635e5",
    "RepoTags": [
        "adamrehn/ue4-runtime:22.04-cudagl11",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime:22.04-cudagl11"
    ],
    "RepoDigests": [
        "adamrehn/ue4-runtime@sha256:19ce5777f28d834201b575c05db25bf35c5722b80bf4358f8274defb9e07916c",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/adamrehn/ue4-runtime@sha256:04c1684d620b409bac9d5c812fc45c87e5b8a149ee53a06c265e20d284b4f109"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-07-20T16:13:09.463167696+10:00",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "ue4",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.8 brand=tesla,driver\u003e=450,driver\u003c451 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=510,driver\u003c511 brand=unknown,driver\u003e=510,driver\u003c511 brand=nvidia,driver\u003e=510,driver\u003c511 brand=nvidiartx,driver\u003e=510,driver\u003c511 brand=geforce,driver\u003e=510,driver\u003c511 brand=geforcertx,driver\u003e=510,driver\u003c511 brand=quadro,driver\u003e=510,driver\u003c511 brand=quadrortx,driver\u003e=510,driver\u003c511 brand=titan,driver\u003e=510,driver\u003c511 brand=titanrtx,driver\u003e=510,driver\u003c511 brand=tesla,driver\u003e=515,driver\u003c516 brand=unknown,driver\u003e=515,driver\u003c516 brand=nvidia,driver\u003e=515,driver\u003c516 brand=nvidiartx,driver\u003e=515,driver\u003c516 brand=geforce,driver\u003e=515,driver\u003c516 brand=geforcertx,driver\u003e=515,driver\u003c516 brand=quadro,driver\u003e=515,driver\u003c516 brand=quadrortx,driver\u003e=515,driver\u003c516 brand=titan,driver\u003e=515,driver\u003c516 brand=titanrtx,driver\u003e=515,driver\u003c516",
            "NV_CUDA_CUDART_VERSION=11.8.89-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8",
            "CUDA_VERSION=11.8.0",
            "LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:/usr/lib/i386-linux-gnu:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility,graphics,compat32,utility,compute,display,video",
            "DEBIAN_FRONTEND=noninteractive",
            "SDL_AUDIODRIVER=pulse"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 699046091,
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}

更多版本

docker.io/adamrehn/ue4-runtime:22.04-cudagl11

linux/amd64 docker.io699.05MB2024-10-18 10:37
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