logo
docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu
linux/amd64 docker.io print(''hello new world'') 贡献
deepracer-simapp
AWS Deepracer Community 的 deepracer-simapp 镜像是一个用于模拟自动驾驶场景的 Docker 容器镜像。
18
浏览次数
14.72GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu
源镜像
docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu
镜像ID
sha256:299cb02a15d6722b2a9e1be72be3a7bce2bf46a50aec8a7fe92bd5bf043b652e
镜像 TAG
6.0.6-gpu
镜像大小
14.72GB
平台架构
linux/amd64
镜像源
docker.io
CMD
bash
启动入口
/bin/bash -c
工作目录
/opt/ml/code
OS/平台
linux/amd64
镜像创建
2026-08-07T08:07:29.303960464Z
同步时间
2026-10-21 06:55
浏览量
18 次
贡献者
avatar print(''hello new world'')
⚙️ 环境变量 35
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>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 2
NV_CUDA_CUDART_VERSION=12.6.77-1 3
CUDA_VERSION=12.6.3 4
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=all 7
NV_CUDA_LIB_VERSION=12.6.3-1 8
NV_NVTX_VERSION=12.6.77-1 9
NV_LIBNPP_VERSION=12.3.1.54-1 10
NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1 11
NV_LIBCUSPARSE_VERSION=12.5.4.2-1 12
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6 13
NV_LIBCUBLAS_VERSION=12.6.4.1-1 14
NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.4.1-1 15
NV_LIBNCCL_PACKAGE_NAME=libnccl2 16
NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1 17
NCCL_VERSION=2.23.4-1 18
NV_LIBNCCL_PACKAGE=libnccl2=2.23.4-1+cuda12.6 19
NVIDIA_PRODUCT_NAME=CUDA 20
NV_CUDNN_VERSION=9.5.1.17-1 21
NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 22
NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.5.1.17-1 23
TZ=America/New_York 24
DEBIAN_FRONTEND=noninteractive 25
PYTHONDONTWRITEBYTECODE=1 26
PYTHONUNBUFFERED=1 27
PYTHONIOENCODING=UTF-8 28
LANG=C.UTF-8 29
LC_ALL=C.UTF-8 30
ROS_DISTRO=jazzy 31
ROS_SNAPSHOT_DATE=2025-11-19 32
MESA_DEBUG=silent 33
SAGEMAKER_PROGRAM=sagemaker_bootstrap.py 34
🏷️ 镜像标签 5
KeyValue
9.5.1.17-1 com.nvidia.cudnn.version
AWS DeepRacer Community - deepracing.io maintainer
ubuntu org.opencontainers.image.ref.name
24.04 org.opencontainers.image.version
6.0.6 version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu  docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu  docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu

Shell快速替换命令

sed -i 's#awsdeepracercommunity/deepracer-simapp:6.0.6-gpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu#' 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/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu  docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu  docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu'

镜像构建历史


# 2026-08-07 16:07:29  0.00B 设置默认要执行的命令
CMD ["bash"]
                        
# 2026-08-07 16:07:29  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/bin/bash" "-c"]
                        
# 2026-08-07 16:07:29  0.00B 添加元数据标签
LABEL version=6.0.6
                        
# 2026-08-07 16:07:29  0.00B 添加元数据标签
LABEL maintainer=AWS DeepRacer Community - deepracing.io
                        
# 2026-08-07 16:07:29  0.00B 定义构建参数
ARG IMG_VERSION=6.0.6
                        
# 2026-08-07 16:07:29  61.00B 复制新文件或目录到容器中
COPY VERSION . # buildkit
                        
# 2026-08-07 16:07:29  62.34KB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c mkdir -p /etc/redis && cp /opt/ml/code/redis.conf /etc/redis/redis.conf # buildkit
                        
# 2026-08-07 16:07:28  4.39KB 复制新文件或目录到容器中
COPY ./docker/files/rl-coach/start.py /opt/ml/code/rl_coach/start.py # buildkit
                        
# 2026-08-07 16:07:28  45.00B 复制新文件或目录到容器中
COPY ./docker/files/rl-coach/config.yaml /root/.sagemaker/config.yaml # buildkit
                        
# 2026-08-07 16:07:28  0.00B 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c mkdir -p /root/.sagemaker # buildkit
                        
# 2026-08-07 16:07:28  62.00B 复制新文件或目录到容器中
COPY ./docker/files/robomaker/shutdown.sh /opt/ml/code/shutdown.sh # buildkit
                        
# 2026-08-07 16:07:27  3.29KB 复制新文件或目录到容器中
COPY ./docker/files/robomaker/debug-reward.diff debug-reward.diff # buildkit
                        
# 2026-08-07 16:07:27  4.78KB 复制新文件或目录到容器中
COPY ./docker/files/robomaker/run.sh /opt/ml/code/run.sh # buildkit
                        
# 2026-08-07 16:07:27  0.00B 设置环境变量 SAGEMAKER_PROGRAM
ENV SAGEMAKER_PROGRAM=sagemaker_bootstrap.py
                        
# 2026-08-07 16:07:27  463.58KB 复制新文件或目录到容器中
COPY ./docker/files/ml-code /opt/ml/code # buildkit
                        
# 2026-08-07 16:07:27  1.62MB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c apt update -y && rosdep init && rosdep update --rosdistro=jazzy -q &&     cd /opt/amazon/install &&     rosdep install --rosdistro=jazzy --from-paths . --ignore-src -r -y &&     apt clean &&     rm -rf /var/lib/apt/lists/* && ldconfig # buildkit
                        
# 2026-08-07 16:07:19  0.00B 设置工作目录为/opt/ml/code
WORKDIR /opt/ml/code
                        
# 2026-08-07 16:07:19  407.00B 复制新文件或目录到容器中
COPY /opt/amazon/src/deepracer_node_monitor/config/*.txt /opt/amazon/script/config/ # buildkit
                        
# 2026-08-07 16:07:19  2.91KB 复制新文件或目录到容器中
COPY /opt/amazon/script /opt/amazon/script # buildkit
                        
# 2026-08-07 16:07:19  1.54KB 复制新文件或目录到容器中
COPY /opt/amazon/configs /opt/amazon/configs # buildkit
                        
# 2026-08-07 16:07:19  1.30GB 复制新文件或目录到容器中
COPY /opt/amazon/install /opt/amazon/install # buildkit
                        
# 2026-08-07 16:07:06  5.36GB 复制新文件或目录到容器中
COPY /root/anaconda/ /root/anaconda/ # buildkit
                        
# 2026-08-07 16:05:16  308.24MB 复制新文件或目录到容器中
COPY /usr/local/ /usr/local/ # buildkit
                        
# 2026-08-07 16:05:08  26.90MB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c python3 -m pip install --no-cache-dir --break-system-packages sagemaker-training # buildkit
                        
# 2026-08-07 16:05:02  245.26MB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c python3 -m venv /root/sagemaker-venv &&     /root/sagemaker-venv/bin/pip install --no-cache-dir --upgrade pip &&     /root/sagemaker-venv/bin/pip install --no-cache-dir "sagemaker<3" # buildkit
                        
# 2026-08-07 16:04:38  76.58MB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c curl -L "https://github.com/docker/compose/releases/download/v2.40.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose && chmod +x /usr/local/bin/docker-compose # buildkit
                        
# 2026-08-07 16:04:37  51.27MB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c apt update && apt install --no-install-recommends -y docker-ce-cli && apt clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-08-07 16:04:30  5.14KB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c curl -fsSL https://download.docker.com/linux/debian/gpg | apt-key add - && 	 echo "deb [arch=$(dpkg --print-architecture)] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" > /etc/apt/sources.list.d/docker.list # buildkit
                        
# 2026-08-07 16:04:29  0.00B 设置环境变量 ROS_DISTRO
ENV ROS_DISTRO=jazzy
                        
# 2026-08-07 16:04:29  2.05GB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c apt update -y &&     apt install -y --no-install-recommends         python3-colcon-common-extensions         python3-colcon-mixin         python3-defusedxml         python3-jsonschema         python3-rosdep         python3-shapely         python3-vcstool         python3-boto3         ros-jazzy-controller-manager         ros-jazzy-gz-ros2-control         ros-jazzy-ros-base         ros-jazzy-ros-core         ros-jazzy-ros-gz         ros-jazzy-ros2-controllers         ros-jazzy-web-video-server         ros-jazzy-xacro &&     apt clean &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-08-07 16:01:57  131.00B 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c sh -c 'echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/ros-archive-keyring.gpg] http://snapshots.ros.org/$ROS_DISTRO/$ROS_SNAPSHOT_DATE/ubuntu $(. /etc/os-release && echo $UBUNTU_CODENAME) main" > /etc/apt/sources.list.d/ros2.list' # buildkit
                        
# 2026-08-07 16:01:56  11.90KB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c curl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.key | gpg --dearmor -o /usr/share/keyrings/ros-archive-keyring.gpg &&     gpg --keyserver keyserver.ubuntu.com --recv-keys AD19BAB3CBF125EA &&     gpg --export AD19BAB3CBF125EA >> /usr/share/keyrings/ros-archive-keyring.gpg # buildkit
                        
# 2026-08-07 16:01:55  106.00B 复制新文件或目录到容器中
COPY docker/files/10_nvidia.json /usr/share/glvnd/egl_vendor.d/10_nvidia.json # buildkit
                        
# 2026-08-07 16:01:55  0.00B 设置环境变量 MESA_DEBUG
ENV MESA_DEBUG=silent
                        
# 2026-08-07 16:01:55  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=all
                        
# 2026-08-07 16:01:55  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-08-07 16:01:55  0.00B 设置环境变量 ROS_SNAPSHOT_DATE
ENV ROS_SNAPSHOT_DATE=2025-11-19
                        
# 2026-08-07 16:01:55  0.00B 设置环境变量 ROS_DISTRO
ENV ROS_DISTRO=jazzy
                        
# 2026-08-07 16:01:55  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2026-08-07 16:01:55  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2026-08-07 16:01:55  0.00B 设置环境变量 PYTHONIOENCODING
ENV PYTHONIOENCODING=UTF-8
                        
# 2026-08-07 16:01:55  0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
                        
# 2026-08-07 16:01:55  0.00B 设置环境变量 PYTHONDONTWRITEBYTECODE
ENV PYTHONDONTWRITEBYTECODE=1
                        
# 2026-08-07 16:01:55  1.62MB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c echo 'debconf debconf/frontend select Noninteractive' | debconf-set-selections # buildkit
                        
# 2026-08-07 16:01:54  2.04GB 执行命令并创建新的镜像层
RUN |2 NVCC_VER=cuda-nvcc-12-6 TF_VER= /bin/sh -c apt update &&     apt upgrade -y &&     apt install --no-install-recommends -y     apt-utils     build-essential     ca-certificates     cmake     curl     dirmngr     ffmpeg     git     gnupg2     jq     jwm     libavcodec-dev     libavformat-dev     libboost-all-dev     libfreetype-dev     libgomp1     libhdf5-dev     libjpeg-dev     liblog4cplus-dev     libpng-dev     libssl-dev     libswscale-dev     libx264-dev     libxrender1     libzmq3-dev     lsb-release     mesa-utils     net-tools     pkg-config     python3-dev     python3-opengl     python3-pip     python3-venv     tzdata     uuid-dev     wget     x11-xserver-utils     x11vnc     x264     xmlstarlet     xvfb     zlib1g-dev     ${NVCC_VER} &&     apt clean &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-08-07 16:01:54  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2026-08-07 16:01:54  0.00B 设置环境变量 TZ
ENV TZ=America/New_York
                        
# 2026-08-07 16:01:54  0.00B 定义构建参数
ARG TF_VER=
                        
# 2026-08-07 16:01:54  0.00B 定义构建参数
ARG NVCC_VER=cuda-nvcc-12-6
                        
# 2024-11-23 02:53:18  867.78MB 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}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:53:18  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.5.1.17-1
                        
# 2024-11-23 02:53:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:53:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:53:18  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.5.1.17-1
                        
# 2024-11-23 02:53:18  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2024-11-23 02:53:18  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.5.1.17-1
                        
# 2024-11-23 02:30:19  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-11-23 02:30:19  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-11-23 02:30:19  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-11-23 02:30:19  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-11-23 02:30:19  239.11KB 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
                        
# 2024-11-23 02:30:18  2.14GB 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-12-6=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-6=${NV_NVTX_VERSION}     libcusparse-12-6=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:30:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:30:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.23.4-1+cuda12.6
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.23.4-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.4.1-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.6.4.1-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.4.2-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.1.54-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.6.77-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.3-1
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-11-23 02:20:34  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-11-23 02:20:34  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
                        
# 2024-11-23 02:20:34  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
                        
# 2024-11-23 02:20:34  161.80MB 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-12-6=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-6     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.3
                        
# 2024-11-23 02:20:23  10.24MB 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/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:20:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:20:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.77-1
                        
# 2024-11-23 02:20:23  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 brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-10-16 17:25:57  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-10-16 17:25:57  78.12MB 
/bin/sh -c #(nop) ADD file:a3272496fda5a8d021b94dccaa6baa685ded51e9d23edb05f0b30978a83c9fc2 in / 
                        
# 2024-10-16 17:25:55  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:299cb02a15d6722b2a9e1be72be3a7bce2bf46a50aec8a7fe92bd5bf043b652e",
    "RepoTags": [
        "awsdeepracercommunity/deepracer-simapp:6.0.6-gpu",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu"
    ],
    "RepoDigests": [
        "awsdeepracercommunity/deepracer-simapp@sha256:67d3ebe186e938b15350b1bde704dea0a66020f7be2d67d3a889defa72442954",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/awsdeepracercommunity/deepracer-simapp@sha256:6c3a97720c754e4a489ea79c55cfe083cbece0f234d393741a425288b5a55e32"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-08-07T08:07:29.303960464Z",
    "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=12.6 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551",
            "NV_CUDA_CUDART_VERSION=12.6.77-1",
            "CUDA_VERSION=12.6.3",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=all",
            "NV_CUDA_LIB_VERSION=12.6.3-1",
            "NV_NVTX_VERSION=12.6.77-1",
            "NV_LIBNPP_VERSION=12.3.1.54-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1",
            "NV_LIBCUSPARSE_VERSION=12.5.4.2-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6",
            "NV_LIBCUBLAS_VERSION=12.6.4.1-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.4.1-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1",
            "NCCL_VERSION=2.23.4-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.23.4-1+cuda12.6",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDNN_VERSION=9.5.1.17-1",
            "NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12",
            "NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.5.1.17-1",
            "TZ=America/New_York",
            "DEBIAN_FRONTEND=noninteractive",
            "PYTHONDONTWRITEBYTECODE=1",
            "PYTHONUNBUFFERED=1",
            "PYTHONIOENCODING=UTF-8",
            "LANG=C.UTF-8",
            "LC_ALL=C.UTF-8",
            "ROS_DISTRO=jazzy",
            "ROS_SNAPSHOT_DATE=2025-11-19",
            "MESA_DEBUG=silent",
            "SAGEMAKER_PROGRAM=sagemaker_bootstrap.py"
        ],
        "Cmd": [
            "bash"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/opt/ml/code",
        "Entrypoint": [
            "/bin/bash",
            "-c"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cudnn.version": "9.5.1.17-1",
            "maintainer": "AWS DeepRacer Community - deepracing.io",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "24.04",
            "version": "6.0.6"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 14718563587,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/d86f157fa60b5af1d69673765ee1368623367b2b813d699f7d6e235600e721c6/diff:/var/lib/docker/overlay2/b7e0d3fe609ef296c1bd99f506e4cd26da2ce49dd21492765725b92e4e1570f2/diff:/var/lib/docker/overlay2/daf965c99560707afa4dcce3168d9654e13f512531e6811d9035a3a3610b7faf/diff:/var/lib/docker/overlay2/4b15d6fe454be052c66ef05319ebe697066add7b014d1a27a628ca4ece9ab975/diff:/var/lib/docker/overlay2/5575f92b7d8352bda8d11f8323ad4734dc5f696a4a155cc61ae0de0a6cf94ea2/diff:/var/lib/docker/overlay2/c5ccceeefb68148e6373bdd99c543593c4deb02d4c88ffe40c92f483d3d50ac8/diff:/var/lib/docker/overlay2/47b561bbc1e2d32dc58077dc3c7e6c295f68f57dc00ead6e8166a770463fd7a1/diff:/var/lib/docker/overlay2/1c335684b9753be3fa17ceae4b5d6dac66482d8d66513ffff3d746da95fad881/diff:/var/lib/docker/overlay2/ff1768d116040d77cd7357e4b16bb1559800b8bc5dddc53e690590a2c2bb2713/diff:/var/lib/docker/overlay2/22d485e0bd09be01d8c129875f57ff05d72527684af3365f4d96d3f8f51e45fd/diff:/var/lib/docker/overlay2/546873fb65e01ff3401c077a582df67f176dd333fda03d98a2be1b56be7866cb/diff:/var/lib/docker/overlay2/2262eedec07a332f3ff81f9cf5b60abd28718392326587e637750400bb03f061/diff:/var/lib/docker/overlay2/510a4c2a4cbad0e9ba64848dc44d4ba313cef7238a09ce39aedbf815620e9e0a/diff:/var/lib/docker/overlay2/69e4dff889379f471c6f6625f4899bc906d7972a7cbd3a9ec9731c1bed0b3b8a/diff:/var/lib/docker/overlay2/4d1b8d504301bd94da4fde851c7faa6a1df8082cc03ea3d743ba916b29f20ff1/diff:/var/lib/docker/overlay2/1b0b66c688126c9856cc9b6836285276d6a834fece327d46666fdec032a4a9c6/diff:/var/lib/docker/overlay2/20b360795f97d340068197ee2b37fb1657ce5ab035d1ab76091b4fea816ba9a9/diff:/var/lib/docker/overlay2/5898cc0c10697186a20ac0bf405c3615a636bbb2d3d37ce40d2ba95cbf11f5ba/diff:/var/lib/docker/overlay2/9b08aba43baf9c73a5d2d0f62edc06e7d4ecdddee6e3ea6affd878da9bc62023/diff:/var/lib/docker/overlay2/435089bf8f6a3f0898a4c101d0f6f81ec2d889e41a2c65fa6a071c03c73cf83e/diff:/var/lib/docker/overlay2/d42848c7c198c0dec459c2017efef892768933151d653acbcde93c230a3fbf07/diff:/var/lib/docker/overlay2/59d8cc0b46d4a3e3cc5b233bb7bb0cc97157f5c47ec385fd62b18ddd0348d1de/diff:/var/lib/docker/overlay2/284f06fee31d269886980e9cc4222d38373016aeb57706f6f2071481033338e5/diff:/var/lib/docker/overlay2/65136435fe2b1594835e52b7ebfa228c507bf26eab18b2f3538dc6058e572da4/diff:/var/lib/docker/overlay2/867a2d7bfb4d263bcae5e243aaa636d89b7cb66a711a27c57c8f56d25d11370b/diff:/var/lib/docker/overlay2/a9ca514c483f318b68a3805dac1c3818083c5e84522a59ba548379ae565df45a/diff:/var/lib/docker/overlay2/ef746f2979ae9b47819e38cbb44ea07e5466aafa6e69824d2879b50e6d779fe2/diff:/var/lib/docker/overlay2/75b5653d0347d8a10129e0e902acd342c403e06f575046ba96ac4dc8fc675283/diff:/var/lib/docker/overlay2/950dd280e093bb6c0e7830c00b74ca597a79833a4205ca7afbd75bdf487c967d/diff:/var/lib/docker/overlay2/fecf1e9fb6e6775295659f2edd94510453eadd7de22e2b8925e80e403cd7e23f/diff:/var/lib/docker/overlay2/ca0c5b246b54de273da138656c8d89d3c2f4376ff90f7f54e4da4aee557d42e6/diff:/var/lib/docker/overlay2/72e1bdd346b81d6b3efa4565fc0b2a292da051f1ff6386de087130fdad423dd8/diff:/var/lib/docker/overlay2/3785cb7e86396832f96a2ef6a6dbdca55f0a6dd328ae22230620104415aa41d7/diff:/var/lib/docker/overlay2/28640546c47076820d0d333b82f139ac7a423cc026afbc2acd897b7565469652/diff:/var/lib/docker/overlay2/767aa6ca20c242a24e592500883780efe85fccb124e4a0cdc43c0a225c7df079/diff:/var/lib/docker/overlay2/ebe341f9538f6576948bedd6646d55c6be537c2b02c73bd1a23e471db4a84759/diff:/var/lib/docker/overlay2/8d5f91cc32a88e3782a849804ce8c20604909027929a9b0a53b0fdfddcd4308b/diff",
            "MergedDir": "/var/lib/docker/overlay2/252293748a07413364f65dac6a0cd9cfe2bc4495f12e035cab600f71b0eb93d6/merged",
            "UpperDir": "/var/lib/docker/overlay2/252293748a07413364f65dac6a0cd9cfe2bc4495f12e035cab600f71b0eb93d6/diff",
            "WorkDir": "/var/lib/docker/overlay2/252293748a07413364f65dac6a0cd9cfe2bc4495f12e035cab600f71b0eb93d6/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:27123a71e85e0540333291adccf7b9c340d089e8c3717c380d3b75cc8c7df90f",
            "sha256:e523ea6ed9fbf4fc6165712010761109b428f1cdbb90b45321f314353ded88fc",
            "sha256:311e2007374d02c2b56b78001e4e8601ee0c72c09a3cec7c104393444c533374",
            "sha256:910b63bb00adb5a625b6bb74ab7b8eebc4ab4a1b839c366d00a4390fbbb98184",
            "sha256:f72f00af3d1173f2896261009fdf165589496b3d8d3db4f15f93034a3aadf38d",
            "sha256:344cd4317909695385bfa3c2ab514ee48bfa373d00f79ebfae437045bedb04d4",
            "sha256:d4bdf88b7c27d652eead66accdc52f8af2eba6818adc5387bcd42812c97e319d",
            "sha256:0a527e8bdcb7ed7be439f6c94a57024593314c0b26d59ad8cbf0d012ca86c005",
            "sha256:ddb1a9e6dbb4ca986aded36a3eec38c9c17538550a9543f7a54dd3c8bd69777a",
            "sha256:a473674c18359f5fed4086b714b5b4e3fc610891a90906808d67979af597bb8b",
            "sha256:2eee88f9283a6bbce8b7f6ca7aec7fdfed7995763f3d89680227c5fb723bb5e0",
            "sha256:41a2214d7d777c8a526330cccef5be829925301989feb3be1612605f7962412d",
            "sha256:86a56a0176bd2b0e14d29eca8e7fcb51312e3500e7736235be0eccc97c950363",
            "sha256:5e139270b1d64937a59ed713031d1363f419800c78e435ea3cc552076d4e1f5c",
            "sha256:901d8bbbb34827c4d0671cd4752af752d151f06ed2ce5e315077827ab19fdbae",
            "sha256:bea185bbdbe9d38ce0ab75397ec51af9d6006273d55afd47371fd3f0851828e6",
            "sha256:6cf28964b069bac86c041764d2438e0f92f24f5572a8b1148580bd27f6daf084",
            "sha256:a387e5f991ec6a3c67611b5d5bb69900b7b7d3512377c3752a861d74b3b41cdd",
            "sha256:c758524f4e7ad886bc4a90e03ed5e5347db8ab6088085fa88f17b813085eab7e",
            "sha256:2560a7b4ce1e3c75f4fb799432c10c68d3b394ffe6c087013d80bb4f6c24d2a5",
            "sha256:7b03e226e4758b39815266667b66ad54eb155399251560f3e7d4d4af8dbdfc2e",
            "sha256:efdfd1004b55b403b8f4fdd54f967bb0a089628dcc93c1e046fe6109b5e7fb10",
            "sha256:76e33e16759ac6d4264010416c193e32a95447a22e2dab556b708516e471eb0a",
            "sha256:b8ba90065231b1d79dd9f1c2b187a04d92abad05002f8013c8d3ba54f9abfd82",
            "sha256:7f8a887cb3f40104999b37faf07dddd19bdee6bf4110c466f1dc3484232d195b",
            "sha256:a0d8c6fdede27457bccc01b44fdc1ab417b22b09a61d117eaec284f0116da35e",
            "sha256:8515f55cc18af6bd9a7749d5fb49bc9d3674b38ea408cb784bf2a7c6f2368e26",
            "sha256:e585bbef7c56f19424fcb00278d0cac8a41ca155c384ea932fa51225d1de94c8",
            "sha256:4452a70e9ec3e485ca2436cf107a25a3453469a91fddfab3e85574f901aac28e",
            "sha256:53d39963c963234e68b1df76729a8981d6f7090707a4378e8bb08bdbf853ee87",
            "sha256:f61ed8e322ce1a23972ebcd21b00e38587eba2f63389f055546843a0fae33a34",
            "sha256:2c4c68f77879d9f317f6bcfa348ad382e5bda36abf34c48170d27560ddf7bbb7",
            "sha256:b4e01a8ba774361ce21a7cbba587a7d6c3ab4bb101801c64f7799016ad4a1c13",
            "sha256:32df42aee8775361c4f2c5f441c580b18efdb6b90db4bcbec70704769d691598",
            "sha256:06ae222d055873c8261540a63697a993811a422a433283eaf71dc8a843486872",
            "sha256:ded9f8d5d9691d799659780491d9813c3b5cfcad6659fd87ff8b288627ed93e1",
            "sha256:f9c40b0d2e33559c5a1c63d39b6b0daa46eda70553cd4b7bc34a50a9a7170e8e",
            "sha256:44afdb3bfb0647ef897eceaf6848e77bf499ae863b6e5dd99fccb07ff7ecc94d"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-10-21T06:49:57.174073693+08:00"
    }
}

更多版本

docker.io/awsdeepracercommunity/deepracer-simapp:5.3.1-gpu

linux/amd64 docker.io10.73GB2024-07-18 19:15
591

docker.io/awsdeepracercommunity/deepracer-simapp:6.0.6-gpu

linux/amd64 docker.io14.72GB2026-10-21 06:55
17
检测到您正在使用广告拦截插件,本站为公益站点,依赖广告维持运转 🙏 查看如何关闭 ×