docker.io/forceless/pptagent:latest linux/amd64

docker.io/forceless/pptagent:latest - 国内下载镜像源 浏览次数:125

温馨提示:此镜像为latest tag镜像,本站无法保证此版本为最新镜像

```html

这是一个名为 docker.io/forceless/pptagent 的 Docker 容器镜像。 该镜像的具体描述信息无法直接从镜像名称中获取。需要访问镜像仓库 (例如 Docker Hub) 查看该镜像的具体说明才能了解其功能和用途。

```
源镜像 docker.io/forceless/pptagent:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/forceless/pptagent:latest
镜像ID sha256:fdbaecc5817ceab0b5c1fceb906b52c218b639466a0b851b17abd1b17bc9707f
镜像TAG latest
大小 25.21GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash /PPTAgent/docker_launch.sh
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录
OS/平台 linux/amd64
浏览量 125 次
贡献者 ea*****o@163.com
镜像创建 2025-01-22T21:49:27.45886146+08:00
同步时间 2025-03-04 02:32
更新时间 2025-04-19 22:55
开放端口
5632/tcp 8088/tcp 9297/tcp
环境变量
http_proxy= https_proxy= 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>=12.1 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=12.1.105-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64: NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.1.1-1 NV_NVTX_VERSION=12.1.105-1 NV_LIBNPP_VERSION=12.1.0.40-1 NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1 NV_LIBCUSPARSE_VERSION=12.1.0.106-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1 NV_LIBCUBLAS_VERSION=12.1.3.1-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1 NCCL_VERSION=2.17.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.1.105-1 NV_NVML_DEV_VERSION=12.1.105-1 NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1 NV_LIBNPP_DEV_VERSION=12.1.0.40-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1 NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.1-1 NV_NVPROF_VERSION=12.1.105-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs LANG=C.UTF-8 LC_ALL=C.UTF-8 PIP_NO_CACHE_DIR=1 OMPI_ALLOW_RUN_AS_ROOT= OMPI_ALLOW_RUN_AS_ROOT_CONFIRM= DET_PYTHON_PATH=/env/determined DET_PYTHON_EXECUTABLE=/env/determined/bin/python3
镜像标签
Yaojie Lu <luyaojie@iscas.ac.cn>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/forceless/pptagent:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/forceless/pptagent:latest  docker.io/forceless/pptagent:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/forceless/pptagent:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/forceless/pptagent:latest  docker.io/forceless/pptagent:latest

Shell快速替换命令

sed -i 's#forceless/pptagent:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/forceless/pptagent:latest#' 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/forceless/pptagent:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/forceless/pptagent:latest  docker.io/forceless/pptagent:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/forceless/pptagent:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/forceless/pptagent:latest  docker.io/forceless/pptagent:latest'

镜像构建历史


# 2025-01-22 21:49:27  0.00B 设置默认要执行的命令
CMD ["/bin/bash" "/PPTAgent/docker_launch.sh"]
                        
# 2025-01-22 21:49:27  450.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /PPTAgent/docker_launch.sh # buildkit
                        
# 2025-01-22 21:49:26  450.00B 复制新文件或目录到容器中
COPY docker_launch.sh /PPTAgent/docker_launch.sh # buildkit
                        
# 2025-01-22 21:49:26  0.00B 设置环境变量 https_proxy
ENV https_proxy=
                        
# 2025-01-22 21:49:26  0.00B 设置环境变量 http_proxy
ENV http_proxy=
                        
# 2025-01-18 23:16:02  0.00B 设置默认要执行的命令
CMD ["/bin/bash" "/PPTAgent/docker_launch.sh"]
                        
# 2025-01-18 23:16:02  450.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /PPTAgent/docker_launch.sh # buildkit
                        
# 2025-01-18 23:16:00  450.00B 复制新文件或目录到容器中
COPY docker_launch.sh /PPTAgent/docker_launch.sh # buildkit
                        
# 2025-01-18 21:41:29  17.01GB 
/bin/bash
                        
# 2024-12-27 14:50:16  201.56MB 
/bin/bash
                        
# 2024-07-11 13:26:57  0.00B 执行命令并创建新的镜像层
RUN |10 UBUNTU_VERSION= WITH_MPI= UCX_INSTALL_DIR=/container/ucx OMPI_INSTALL_DIR=/container/ompi VERBS_LIB_DIR=/usr/lib/libibverbs UCX_LIB_DIR=/container/ucx/lib:/container/ucx/lib64 UCX_PATH_DIR=/container/ucx/bin OMPI_LIB_DIR=/container/ompi/lib OMPI_PATH_DIR=/container/ompi/bin DET_VERSION=0.19.10 /bin/sh -c rm -r /tmp/* # buildkit
                        
# 2024-07-11 13:26:55  62.93KB 执行命令并创建新的镜像层
RUN |10 UBUNTU_VERSION= WITH_MPI= UCX_INSTALL_DIR=/container/ucx OMPI_INSTALL_DIR=/container/ompi VERBS_LIB_DIR=/usr/lib/libibverbs UCX_LIB_DIR=/container/ucx/lib:/container/ucx/lib64 UCX_PATH_DIR=/container/ucx/bin OMPI_LIB_DIR=/container/ompi/lib OMPI_PATH_DIR=/container/ompi/bin DET_VERSION=0.19.10 /bin/sh -c /tmp/det_dockerfile_scripts/install_libnss_determined.sh # buildkit
                        
# 2024-07-11 13:26:52  21.24MB 执行命令并创建新的镜像层
RUN |10 UBUNTU_VERSION= WITH_MPI= UCX_INSTALL_DIR=/container/ucx OMPI_INSTALL_DIR=/container/ompi VERBS_LIB_DIR=/usr/lib/libibverbs UCX_LIB_DIR=/container/ucx/lib:/container/ucx/lib64 UCX_PATH_DIR=/container/ucx/bin OMPI_LIB_DIR=/container/ompi/lib OMPI_PATH_DIR=/container/ompi/bin DET_VERSION=0.19.10 /bin/sh -c /tmp/det_dockerfile_scripts/add_det_nobody_user.sh # buildkit
                        
# 2024-07-11 09:39:10  290.75MB 执行命令并创建新的镜像层
RUN |10 UBUNTU_VERSION= WITH_MPI= UCX_INSTALL_DIR=/container/ucx OMPI_INSTALL_DIR=/container/ompi VERBS_LIB_DIR=/usr/lib/libibverbs UCX_LIB_DIR=/container/ucx/lib:/container/ucx/lib64 UCX_PATH_DIR=/container/ucx/bin OMPI_LIB_DIR=/container/ompi/lib OMPI_PATH_DIR=/container/ompi/bin DET_VERSION=0.19.10 /bin/sh -c ${DET_PYTHON_EXECUTABLE} -m pip install -i https://mirrors.aliyun.com/pypi/simple --no-cache-dir  determined==${DET_VERSION} # buildkit
                        
# 2024-07-11 09:32:06  419.80MB 执行命令并创建新的镜像层
RUN |10 UBUNTU_VERSION= WITH_MPI= UCX_INSTALL_DIR=/container/ucx OMPI_INSTALL_DIR=/container/ompi VERBS_LIB_DIR=/usr/lib/libibverbs UCX_LIB_DIR=/container/ucx/lib:/container/ucx/lib64 UCX_PATH_DIR=/container/ucx/bin OMPI_LIB_DIR=/container/ompi/lib OMPI_PATH_DIR=/container/ompi/bin DET_VERSION=0.19.10 /bin/sh -c curl -o miniconda3.sh https://repo.anaconda.com/miniconda/Miniconda3-py39_23.9.0-0-Linux-x86_64.sh     && /bin/bash miniconda3.sh -b -p /env/determined     && rm miniconda3.sh     && ${DET_PYTHON_PATH}/bin/conda update -n base -c defaults conda     && ${DET_PYTHON_PATH}/bin/conda clean -ay # buildkit
                        
# 2024-07-11 09:22:52  0.00B 设置环境变量 DET_PYTHON_EXECUTABLE
ENV DET_PYTHON_EXECUTABLE=/env/determined/bin/python3
                        
# 2024-07-11 09:22:52  0.00B 设置环境变量 DET_PYTHON_PATH
ENV DET_PYTHON_PATH=/env/determined
                        
# 2024-07-11 09:22:52  0.00B 定义构建参数
ARG DET_VERSION=0.19.10
                        
# 2024-07-11 09:22:52  0.00B 设置环境变量 OMPI_ALLOW_RUN_AS_ROOT_CONFIRM
ENV OMPI_ALLOW_RUN_AS_ROOT_CONFIRM=
                        
# 2024-07-11 09:22:52  0.00B 设置环境变量 OMPI_ALLOW_RUN_AS_ROOT
ENV OMPI_ALLOW_RUN_AS_ROOT=
                        
# 2024-07-11 09:22:52  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:
                        
# 2024-07-11 09:22:52  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:
                        
# 2024-07-11 09:22:52  0.00B 定义构建参数
ARG OMPI_PATH_DIR=/container/ompi/bin
                        
# 2024-07-11 09:22:52  0.00B 定义构建参数
ARG OMPI_LIB_DIR=/container/ompi/lib
                        
# 2024-07-11 09:22:52  0.00B 定义构建参数
ARG UCX_PATH_DIR=/container/ucx/bin
                        
# 2024-07-11 09:22:52  0.00B 定义构建参数
ARG UCX_LIB_DIR=/container/ucx/lib:/container/ucx/lib64
                        
# 2024-07-11 09:22:52  0.00B 定义构建参数
ARG VERBS_LIB_DIR=/usr/lib/libibverbs
                        
# 2024-07-11 09:22:52  0.00B 执行命令并创建新的镜像层
RUN |4 UBUNTU_VERSION= WITH_MPI= UCX_INSTALL_DIR=/container/ucx OMPI_INSTALL_DIR=/container/ompi /bin/sh -c if [ "$WITH_MPI" = "1" ]; then /tmp/det_dockerfile_scripts/ompi.sh "$UBUNTU_VERSION" ; fi # buildkit
                        
# 2024-07-11 09:22:05  0.00B 定义构建参数
ARG OMPI_INSTALL_DIR=/container/ompi
                        
# 2024-07-11 09:22:05  0.00B 定义构建参数
ARG UCX_INSTALL_DIR=/container/ucx
                        
# 2024-07-11 09:22:05  0.00B 定义构建参数
ARG WITH_MPI
                        
# 2024-07-11 09:22:05  762.48KB 执行命令并创建新的镜像层
RUN |1 UBUNTU_VERSION= /bin/sh -c git clone https://github.com/determined-ai/environments /tmp/determined-environments     && mv /tmp/determined-environments/dockerfile_scripts /tmp/det_dockerfile_scripts # buildkit
                        
# 2024-07-11 09:17:40  0.00B 执行命令并创建新的镜像层
RUN |1 UBUNTU_VERSION= /bin/sh -c rm -rf /var/lib/apt/lists/*     && rm /etc/ssh/ssh_host_ecdsa_key     && rm /etc/ssh/ssh_host_ed25519_key     && rm /etc/ssh/ssh_host_rsa_key         && if [ "$UBUNTU_VERSION" = "ubuntu18.04" ]; then ln -s /usr/include/slurm-wlm /usr/include/slurm; fi # buildkit
                        
# 2024-07-11 09:17:38  225.43MB 执行命令并创建新的镜像层
RUN |1 UBUNTU_VERSION= /bin/sh -c apt-get update     && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends         autoconf         automake         autotools-dev         build-essential         ca-certificates         curl         daemontools         ibverbs-providers         libibverbs1         libkrb5-dev         librdmacm1         libssl-dev         libtool         git         krb5-user         g++         cmake         make         openssh-client         openssh-server         pkg-config         wget         nfs-common         libnuma1         libnuma-dev         libpmi2-0-dev         unattended-upgrades # buildkit
                        
# 2024-07-11 09:15:38  0.00B 执行命令并创建新的镜像层
RUN |1 UBUNTU_VERSION= /bin/sh -c mkdir -p /var/run/sshd # buildkit
                        
# 2024-07-11 09:15:38  0.00B 定义构建参数
ARG UBUNTU_VERSION
                        
# 2024-07-11 09:15:38  0.00B 设置环境变量 LANG LC_ALL PIP_NO_CACHE_DIR
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8 PIP_NO_CACHE_DIR=1
                        
# 2024-07-11 09:15:38  0.00B 添加元数据标签
LABEL maintainer=Yaojie Lu <luyaojie@iscas.ac.cn>
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 13:25:51  385.69KB 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
                        
# 2023-11-10 13:25:51  4.79GB 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-12-1=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-1=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-1=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-1=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-1=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-1=${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
                        
# 2023-11-10 13:25:51  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:25:51  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.1.105-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.1.0.40-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.1.105-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.1.105-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.1-1
                        
# 2023-11-10 13:13:35  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 13:13:35  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 13:13:35  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 13:13:35  261.40KB 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
                        
# 2023-11-10 13:13:35  2.01GB 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-12-1=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-1=${NV_NVTX_VERSION}     libcusparse-12-1=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:13:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:13:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.3.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.0.106-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.1.0.40-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.105-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.1-1
                        
# 2023-11-10 13:08:12  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 13:08:12  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 13:08:12  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 13:08:12  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 13:08:12  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
                        
# 2023-11-10 13:08:12  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
                        
# 2023-11-10 13:08:11  149.59MB 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-12-1=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.1
                        
# 2023-11-10 13:07:58  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
                        
# 2023-11-10 13:07:58  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:07:58  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.105-1
                        
# 2023-11-10 13:07:58  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 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
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-01-22T21:49:27.45886146+08:00",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "0",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "5632/tcp": {},
            "8088/tcp": {},
            "9297/tcp": {}
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            "NV_CUDA_CUDART_VERSION=12.1.105-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
            "CUDA_VERSION=12.1.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.1.1-1",
            "NV_NVTX_VERSION=12.1.105-1",
            "NV_LIBNPP_VERSION=12.1.0.40-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1",
            "NV_LIBCUSPARSE_VERSION=12.1.0.106-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1",
            "NV_LIBCUBLAS_VERSION=12.1.3.1-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1",
            "NCCL_VERSION=2.17.1-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.1.105-1",
            "NV_NVML_DEV_VERSION=12.1.105-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1",
            "NV_LIBNPP_DEV_VERSION=12.1.0.40-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.1-1",
            "NV_NVPROF_VERSION=12.1.105-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
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            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "LANG=C.UTF-8",
            "LC_ALL=C.UTF-8",
            "PIP_NO_CACHE_DIR=1",
            "OMPI_ALLOW_RUN_AS_ROOT=",
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        "Entrypoint": [
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        "Labels": {
            "maintainer": "Yaojie Lu \u003cluyaojie@iscas.ac.cn\u003e",
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}

更多版本

docker.io/forceless/pptagent:latest

linux/amd64 docker.io25.21GB2025-03-04 02:32
124