docker.io/openmmlab/lmdeploy:v0.6.1-cu11 linux/amd64

docker.io/openmmlab/lmdeploy:v0.6.1-cu11 - 国内下载镜像源 浏览次数:37

镜像描述:

lmdeploy

LM Deploy

LM Deploy 是 OpenMMLab 开发的用于模型部署和在线服务构建的工具。它提供了一个简洁易用的界面,帮助用户快速搭建和部署机器学习模型,包括图像分类、检测、分割等任务。在这个镜像中,你可以找到 LM Deploy 的相关组件和配置,以便你在自己的环境中使用和扩展它。

源镜像 docker.io/openmmlab/lmdeploy:v0.6.1-cu11
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.1-cu11
镜像ID sha256:3fcd566a149f6361c1d7c751e7a13a33533e5dfd9b21b05abd76a24974b0672b
镜像TAG v0.6.1-cu11
大小 16.62GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /opt/lmdeploy
OS/平台 linux/amd64
浏览量 37 次
贡献者
镜像创建 2024-09-28T12:43:52.600504914Z
同步时间 2024-09-30 11:49
更新时间 2024-10-15 10:31
环境变量
PATH=/opt/lmdeploy/install/bin:/opt/py3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/openmpi/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=11.8 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 NV_CUDA_CUDART_VERSION=11.8.89-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8 CUDA_VERSION=11.8.0 LD_LIBRARY_PATH=/opt/lmdeploy/install/lib:/usr/local/nccl/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/openmpi/lib NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.8.0-1 NV_NVTX_VERSION=11.8.86-1 NV_LIBNPP_VERSION=11.8.0.86-1 NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1 NV_LIBCUSPARSE_VERSION=11.7.5.86-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8 NV_LIBCUBLAS_VERSION=11.11.3.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1 NCCL_VERSION=2.15.5-1 NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=11.8.89-1 NV_NVML_DEV_VERSION=11.8.86-1 NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1 NV_LIBNPP_DEV_VERSION=11.8.0.86-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1 NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1 NV_NVPROF_VERSION=11.8.87-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.8 LIBRARY_PATH=/usr/local/cuda/lib64/stubs CUDA_VERSION_SHORT=cu118 NCCL_LAUNCH_MODE=GROUP TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.1-cu11
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.1-cu11  docker.io/openmmlab/lmdeploy:v0.6.1-cu11

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.1-cu11
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.1-cu11  docker.io/openmmlab/lmdeploy:v0.6.1-cu11

Shell快速替换命令

sed -i 's#openmmlab/lmdeploy:v0.6.1-cu11#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.1-cu11#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2024-09-28 20:43:52 ENV TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas
0.00B 2024-09-28 20:43:52 ENV PATH=/opt/lmdeploy/install/bin:/opt/py3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/openmpi/bin
0.00B 2024-09-28 20:43:52 ENV LD_LIBRARY_PATH=/opt/lmdeploy/install/lib:/usr/local/nccl/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/openmpi/lib
0.00B 2024-09-28 20:43:52 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c if [ "$CUDA_VERSION_SHORT" = "cu118" ]; then python3 -m pip uninstall -y nvidia-nccl-cu11 ; fi # buildkit
1.56GB 2024-09-28 20:43:52 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c cd /opt/lmdeploy && python3 -m pip install -r requirements.txt && mkdir -p build && cd build && sh ../generate.sh && ninja -j$(nproc) && ninja install && cd .. && python3 -m pip install -e . && rm -rf build # buildkit
0.00B 2024-09-28 20:34:47 WORKDIR /opt/lmdeploy
7.20MB 2024-09-28 20:34:47 COPY . /opt/lmdeploy # buildkit
0.00B 2024-09-28 20:34:47 ENV NCCL_LAUNCH_MODE=GROUP
5.70GB 2024-09-28 20:34:47 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c python3 -m pip install --upgrade pip setuptools==69.5.1 && python3 -m pip install torch==${TORCH_VERSION} torchvision==${TORCHVISION_VERSION} --index-url https://download.pytorch.org/whl/${CUDA_VERSION_SHORT} && python3 -m pip install cmake packaging wheel # buildkit
0.00B 2024-09-28 20:33:27 ENV LD_LIBRARY_PATH=/usr/local/nccl/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/openmpi/lib
532.50MB 2024-09-28 20:33:27 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c if [ "$CUDA_VERSION_SHORT" = "cu118" ]; then git clone --depth=1 --branch v2.22.3-1 https://github.com/NVIDIA/nccl.git && cd nccl && make -j$(nproc) src.build && mv build/include/* /usr/local/include && mkdir -p /usr/local/nccl/lib && mv build/lib/lib* /usr/local/nccl/lib/ && cd .. && rm -rf nccl ; fi # buildkit
0.00B 2024-09-28 19:55:22 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/openmpi/lib
0.00B 2024-09-28 19:55:22 ENV PATH=/opt/py3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/openmpi/bin
12.72MB 2024-09-28 19:55:22 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c wget https://download.open-mpi.org/release/open-mpi/v4.1/openmpi-4.1.5.tar.gz && tar xf openmpi-4.1.5.tar.gz && cd openmpi-4.1.5 && ./configure --prefix=/usr/local/openmpi && make -j$(nproc) && make install && cd .. && rm -rf openmpi-4.1.5* # buildkit
0.00B 2024-09-28 19:50:21 ENV PATH=/opt/py3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
1.44GB 2024-09-28 19:50:21 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c apt-get update -y && apt-get install -y software-properties-common wget vim git curl && curl https://sh.rustup.rs -sSf | sh -s -- -y && add-apt-repository ppa:deadsnakes/ppa -y && apt-get update -y && apt-get install -y --no-install-recommends ninja-build rapidjson-dev libgoogle-glog-dev gdb python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv && apt-get clean -y && rm -rf /var/lib/apt/lists/* && cd /opt && python3 -m venv py3 # buildkit
0.00B 2024-09-28 19:50:21 ARG TORCHVISION_VERSION=0.18.0
0.00B 2024-09-28 19:50:21 ARG TORCH_VERSION=2.3.0
0.00B 2024-09-28 19:50:21 ARG PYTHON_VERSION=3.10
0.00B 2024-09-28 19:50:21 ENV CUDA_VERSION_SHORT=cu118
0.00B 2023-11-10 14:55:21 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
383.52KB 2023-11-10 14:55:21 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
4.72GB 2023-11-10 14:55:17 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-11-8=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-8=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-8=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-8=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-8=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-8=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 14:55:17 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 14:55:17 ARG TARGETARCH
0.00B 2023-11-10 14:55:17 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.8
0.00B 2023-11-10 14:55:17 ENV NCCL_VERSION=2.15.5-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2023-11-10 14:55:17 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1
0.00B 2023-11-10 14:55:17 ENV NV_NVPROF_VERSION=11.8.87-1
0.00B 2023-11-10 14:55:17 ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1
0.00B 2023-11-10 14:55:17 ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8
0.00B 2023-11-10 14:55:17 ENV NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBNPP_DEV_VERSION=11.8.0.86-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1
0.00B 2023-11-10 14:55:17 ENV NV_NVML_DEV_VERSION=11.8.86-1
0.00B 2023-11-10 14:55:17 ENV NV_CUDA_CUDART_DEV_VERSION=11.8.89-1
0.00B 2023-11-10 14:55:17 ENV NV_CUDA_LIB_VERSION=11.8.0-1
0.00B 2023-11-10 14:42:37 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-11-10 14:42:37 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-11-10 14:42:37 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-11-10 14:42:37 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
260.16KB 2023-11-10 14:42:37 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.41GB 2023-11-10 14:42:36 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-8=${NV_NVTX_VERSION} libcusparse-11-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 14:42:36 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 14:42:36 ARG TARGETARCH
0.00B 2023-11-10 14:42:36 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8
0.00B 2023-11-10 14:42:36 ENV NCCL_VERSION=2.15.5-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNPP_VERSION=11.8.0.86-1
0.00B 2023-11-10 14:42:36 ENV NV_NVTX_VERSION=11.8.86-1
0.00B 2023-11-10 14:42:36 ENV NV_CUDA_LIB_VERSION=11.8.0-1
0.00B 2023-11-10 14:37:16 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-11-10 14:37:16 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-11-10 14:37:16 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-11-10 14:37:16 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-11-10 14:37:16 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-11-10 14:37:16 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
150.67MB 2023-11-10 14:37:16 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 14:37:01 ENV CUDA_VERSION=11.8.0
10.56MB 2023-11-10 14:37:01 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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 14:37:01 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 14:37:01 ARG TARGETARCH
0.00B 2023-11-10 14:37:01 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
0.00B 2023-11-10 14:37:01 ENV NV_CUDA_CUDART_VERSION=11.8.89-1
0.00B 2023-11-10 14:37:01 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 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
0.00B 2023-11-10 14:37:01 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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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
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            "PATH=/opt/lmdeploy/install/bin:/opt/py3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/openmpi/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.8 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",
            "NV_CUDA_CUDART_VERSION=11.8.89-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8",
            "CUDA_VERSION=11.8.0",
            "LD_LIBRARY_PATH=/opt/lmdeploy/install/lib:/usr/local/nccl/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/openmpi/lib",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.8.0-1",
            "NV_NVTX_VERSION=11.8.86-1",
            "NV_LIBNPP_VERSION=11.8.0.86-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1",
            "NV_LIBCUSPARSE_VERSION=11.7.5.86-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8",
            "NV_LIBCUBLAS_VERSION=11.11.3.6-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1",
            "NCCL_VERSION=2.15.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=11.8.89-1",
            "NV_NVML_DEV_VERSION=11.8.86-1",
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