ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda linux/amd64

ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda - 国内下载镜像源 浏览次数:16
immich-machine-learning
是一个机器学习相关容器镜像，用于支持immich-app平台的机器学习功能。
源镜像 ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda
镜像ID sha256:55beaef52421040445f39f8046df353339b8c9654dc0335f7714a7efae5859fc
镜像TAG v1.120.2-cuda
大小 4.37GB
镜像源 ghcr.io
CMD ./start.sh
启动入口 tini --
工作目录 /usr/src/app
OS/平台 linux/amd64
浏览量 16 次
贡献者
镜像创建 2024-11-12T17:53:04.458406347Z
同步时间 2024-11-19 20:30
更新时间 2024-11-21 11:13
环境变量
PATH=/opt/venv/bin:/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>=12.2 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>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NV_CUDA_CUDART_VERSION=12.2.140-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 CUDA_VERSION=12.2.2 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.2.2-1 NV_NVTX_VERSION=12.2.140-1 NV_LIBNPP_VERSION=12.2.1.4-1 NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1 NV_LIBCUSPARSE_VERSION=12.1.2.141-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2 NV_LIBCUBLAS_VERSION=12.2.5.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1 NCCL_VERSION=2.19.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2 NVIDIA_PRODUCT_NAME=CUDA TRANSFORMERS_CACHE=/cache PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 PYTHONPATH=/usr/src DEVICE=cuda
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2024-11-12T17:51:33.776Z: org.opencontainers.image.created High performance self-hosted photo and video management solution.: org.opencontainers.image.description AGPL-3.0: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name 31a1e64b58d01f66d8014c7e91c10cfd20e6aab1: org.opencontainers.image.revision https://github.com/immich-app/immich: org.opencontainers.image.source immich: org.opencontainers.image.title https://github.com/immich-app/immich: org.opencontainers.image.url v1.120.2-cuda: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2024-11-19 20:32

低危漏洞:76 中危漏洞:60 高危漏洞:2 严重漏洞:0
ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda (ubuntu 22.04) (ubuntu) Python (python-pkg) /opt/venv/lib/python3.11/site-packages/skimage/data/_fetchers.py ()

Docker拉取命令 无权限下载?点我修复 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda  ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda  ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda

Shell快速替换命令 

sed -i 's#ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda#' deployment.yaml

Ansible快速分发-Docker 

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda  ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda  ghcr.io/immich-app/immich-machine-learning:v1.120.2-cuda'

镜像历史

大小 创建时间 层信息
0.00B 2024-11-13 01:53:04 HEALTHCHECK &{["CMD-SHELL" "python3 healthcheck.py"] "0s" "0s" "0s" "0s" '\x00'}
0.00B 2024-11-13 01:53:04 CMD ["./start.sh"]
0.00B 2024-11-13 01:53:04 ENTRYPOINT ["tini" "--"]
92.97KB 2024-11-13 01:53:04 COPY app . # buildkit
1.46KB 2024-11-13 01:53:04 COPY start.sh log_conf.json gunicorn_conf.py ./ # buildkit
6.78KB 2024-11-13 01:53:04 COPY ann/ann.py /usr/src/ann/ann.py # buildkit
1.25GB 2024-11-13 01:53:04 COPY /opt/venv /opt/venv # buildkit
5.16KB 2024-11-13 01:52:57 RUN |1 DEVICE=cuda /bin/sh -c echo "hard core 0" >> /etc/security/limits.conf && echo "fs.suid_dumpable 0" >> /etc/sysctl.conf && echo 'ulimit -S -c 0 > /dev/null 2>&1' >> /etc/profile # buildkit
0.00B 2024-11-13 01:52:57 ENV TRANSFORMERS_CACHE=/cache PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 PATH=/opt/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin PYTHONPATH=/usr/src DEVICE=cuda
0.00B 2024-11-13 01:52:57 WORKDIR /usr/src/app
1.54MB 2024-11-13 01:52:57 RUN |1 DEVICE=cuda /bin/sh -c apt-get update && apt-get install -y --no-install-recommends tini $(if ! [ "$DEVICE" = "openvino" ]; then echo "libmimalloc2.0"; fi) && apt-get autoremove -yqq && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2024-11-13 01:52:57 ARG DEVICE=cuda
21.74MB 2024-11-13 01:52:50 COPY /usr/local/lib/libpython3.11.so /usr/local/lib/libpython3.11.so # buildkit
41.47MB 2024-11-13 01:52:50 COPY /usr/local/lib/python3.11 /usr/local/lib/python3.11 # buildkit
18.20KB 2024-11-13 01:52:50 COPY /usr/local/bin/python3 /usr/local/bin/python3 # buildkit
867.81MB 2024-11-13 01:52:50 RUN /bin/sh -c apt-get update && apt-get install --no-install-recommends -yqq libcudnn9-cuda-12 && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 12:59:11 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-11-10 12:59:11 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-11-10 12:59:11 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-11-10 12:59:11 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
261.40KB 2023-11-10 12:59:11 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
1.95GB 2023-11-10 12:59:10 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-2=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-2=${NV_NVTX_VERSION} libcusparse-12-2=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 12:59:10 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 12:59:10 ARG TARGETARCH
0.00B 2023-11-10 12:59:10 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2
0.00B 2023-11-10 12:59:10 ENV NCCL_VERSION=2.19.3-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-11-10 12:59:10 ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBCUBLAS_VERSION=12.2.5.6-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
0.00B 2023-11-10 12:59:10 ENV NV_LIBCUSPARSE_VERSION=12.1.2.141-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1
0.00B 2023-11-10 12:59:10 ENV NV_LIBNPP_VERSION=12.2.1.4-1
0.00B 2023-11-10 12:59:10 ENV NV_NVTX_VERSION=12.2.140-1
0.00B 2023-11-10 12:59:10 ENV NV_CUDA_LIB_VERSION=12.2.2-1
0.00B 2023-11-10 12:57:28 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-11-10 12:57:28 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-11-10 12:57:28 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-11-10 12:57:28 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-11-10 12:57:28 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-11-10 12:57:28 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
150.49MB 2023-11-10 12:57:28 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-2=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 12:56:27 ENV CUDA_VERSION=12.2.2
10.56MB 2023-11-10 12:56:27 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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
0.00B 2023-11-10 12:56:27 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 12:56:27 ARG TARGETARCH
0.00B 2023-11-10 12:56:27 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
0.00B 2023-11-10 12:56:27 ENV NV_CUDA_CUDART_VERSION=12.2.140-1
0.00B 2023-11-10 12:56:27 ENV NVIDIA_REQUIRE_CUDA=cuda>=12.2 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>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
0.00B 2023-11-10 12:56:27 ENV NVARCH=x86_64
0.00B 2023-10-05 15:33:32 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.82MB 2023-10-05 15:33:32 /bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) ARG RELEASE

镜像信息 

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}

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