docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 linux/amd64

docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 - 国内下载镜像源 浏览次数:242

NVIDIA Cuda 是一个基于 Docker 的容器镜像,用于运行 NVIDIA CUDA GPU 加速计算环境。该镜像提供了 CUDA 11.4 及更高版本的支持,可以在 Linux、Windows 和 macOS 等平台上运行。

源镜像 docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04
镜像ID sha256:d91fe8dffe66931f4f2def08c2163dd2c0afc536e21d133c8352eb8978483f5a
镜像TAG 11.1.1-cudnn8-devel-ubuntu18.04
大小 9.35GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD bash
启动入口
工作目录
OS/平台 linux/amd64
浏览量 242 次
贡献者
镜像创建 2022-10-28T05:05:06.558754553Z
同步时间 2024-10-24 19:51
更新时间 2025-01-19 18:19
环境变量
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>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451 NV_CUDA_CUDART_VERSION=11.1.74-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-1 CUDA_VERSION=11.1.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.1.1-1 NV_NVTX_VERSION=11.1.74-1 NV_LIBNPP_VERSION=11.1.2.301-1 NV_LIBNPP_PACKAGE=libnpp-11-1=11.1.2.301-1 NV_LIBCUSPARSE_VERSION=11.3.0.10-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-1 NV_LIBCUBLAS_VERSION=11.3.0.106-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-1=11.3.0.106-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1 NCCL_VERSION=2.8.4-1 NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.1 NV_CUDA_CUDART_DEV_VERSION=11.1.74-1 NV_NVML_DEV_VERSION=11.1.74-1 NV_LIBCUSPARSE_DEV_VERSION=11.3.0.10-1 NV_LIBNPP_DEV_VERSION=11.1.2.301-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-1=11.1.2.301-1 NV_LIBCUBLAS_DEV_VERSION=11.3.0.106-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-1=11.3.0.106-1 NV_NVPROF_VERSION=11.1.105-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-1=11.1.105-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.8.4-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.8.4-1+cuda11.1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.0.5.39 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.0.5.39-1+cuda11.1 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.0.5.39-1+cuda11.1
镜像标签
8.0.5.39: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 18.04 扫描引擎: Trivy 扫描时间: 2024-10-27 17:27

低危漏洞:46 中危漏洞:220 高危漏洞:14 严重漏洞:0

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/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04

Shell快速替换命令

sed -i 's#nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04#' 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/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04'

镜像构建历史


# 2022-10-28 13:05:06  4.57GB 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     ${NV_CUDNN_PACKAGE}     ${NV_CUDNN_PACKAGE_DEV}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-28 13:05:06  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.0.5.39
                        
# 2022-10-28 13:05:06  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-10-28 13:05:06  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-10-28 13:05:06  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.0.5.39-1+cuda11.1
                        
# 2022-10-28 13:05:06  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.0.5.39-1+cuda11.1
                        
# 2022-10-28 13:05:06  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2022-10-28 13:05:06  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.0.5.39
                        
# 2022-10-28 12:36:34  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2022-10-28 12:36:34  358.96KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2022-10-28 12:36:33  2.27GB 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-dev-11-1=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-1=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-1=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-1=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-1=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-1=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-28 12:36:33  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-10-28 12:36:33  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.8.4-1+cuda11.1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.8.4-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.8.4-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-1=11.1.105-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.1.105-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-1=11.3.0.106-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.3.0.106-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-1=11.1.2.301-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.1.2.301-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.3.0.10-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.1.74-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.1.74-1
                        
# 2022-10-28 12:36:33  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.1.1-1
                        
# 2022-10-28 12:21:50  250.07KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2022-10-28 12:21:49  2.40GB 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-libraries-11-1=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-1=${NV_NVTX_VERSION}     libcusparse-11-1=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-28 12:21:49  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-10-28 12:21:49  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.8.4-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-1=11.3.0.106-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.3.0.106-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.3.0.10-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-1=11.1.2.301-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.1.2.301-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.1.74-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.1.1-1
                        
# 2022-10-28 12:16:20  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-10-28 12:16:20  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-10-28 12:16:20  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-10-28 12:16:19  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-10-28 12:16:19  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
                        
# 2022-10-28 12:16:19  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
                        
# 2022-10-28 12:16:19  32.68MB 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-11-1=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.1 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-28 12:16:04  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.1.1
                        
# 2022-10-28 12:16:04  16.54MB 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 -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-28 12:16:04  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-10-28 12:16:04  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-10-28 12:16:04  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-1
                        
# 2022-10-28 12:16:04  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.1.74-1
                        
# 2022-10-28 12:16:04  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451
                        
# 2022-10-28 12:16:04  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2022-10-25 09:53:28  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-10-25 09:53:28  63.15MB 
/bin/sh -c #(nop) ADD file:fc5d658c47ede58827812b75a311353be776e41e2dd339b8906839527c9b5247 in / 
                        
                    

镜像信息

{
    "Id": "sha256:d91fe8dffe66931f4f2def08c2163dd2c0afc536e21d133c8352eb8978483f5a",
    "RepoTags": [
        "nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04"
    ],
    "RepoDigests": [
        "nvidia/cuda@sha256:1f181384de58303eb71b70854033fa0774a3212ac6824ad07859c96f91e98fac",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:8ea741a20938ead0a8d6f6047c2d672aca0dfbb9463c18a1927bcacb5b334b6e"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2022-10-28T05:05:06.558754553Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "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=11.1 brand=tesla,driver\u003e=418,driver\u003c419 brand=tesla,driver\u003e=450,driver\u003c451",
            "NV_CUDA_CUDART_VERSION=11.1.74-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-1",
            "CUDA_VERSION=11.1.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.1.1-1",
            "NV_NVTX_VERSION=11.1.74-1",
            "NV_LIBNPP_VERSION=11.1.2.301-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-1=11.1.2.301-1",
            "NV_LIBCUSPARSE_VERSION=11.3.0.10-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-1",
            "NV_LIBCUBLAS_VERSION=11.3.0.106-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-1=11.3.0.106-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1",
            "NCCL_VERSION=2.8.4-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.1",
            "NV_CUDA_CUDART_DEV_VERSION=11.1.74-1",
            "NV_NVML_DEV_VERSION=11.1.74-1",
            "NV_LIBCUSPARSE_DEV_VERSION=11.3.0.10-1",
            "NV_LIBNPP_DEV_VERSION=11.1.2.301-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-1=11.1.2.301-1",
            "NV_LIBCUBLAS_DEV_VERSION=11.3.0.106-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-1",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-1=11.3.0.106-1",
            "NV_NVPROF_VERSION=11.1.105-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-1=11.1.105-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.8.4-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.8.4-1+cuda11.1",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "NV_CUDNN_VERSION=8.0.5.39",
            "NV_CUDNN_PACKAGE_NAME=libcudnn8",
            "NV_CUDNN_PACKAGE=libcudnn8=8.0.5.39-1+cuda11.1",
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}

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