ghcr.io/saymololy/nccl-tests:master linux/amd64

ghcr.io/saymololy/nccl-tests:master - 国内下载镜像源浏览次数:135

此镜像用于运行NCCL( NVIDIA Collective Communications Library) 的测试。它是一个用于验证NCCL性能和功能的容器环境。

源镜像	ghcr.io/saymololy/nccl-tests:master
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/saymololy/nccl-tests:master
镜像ID	sha256:ad70dd9d88f69981a94949abd0fde634c18519d80532e5432926932d6fc2c5e2
镜像TAG	master
大小	9.29GB
镜像源	ghcr.io
CMD
启动入口	/opt/nvidia/nvidia_entrypoint.sh
工作目录
OS/平台	linux/amd64
浏览量	135 次
贡献者
镜像创建	2024-10-16T02:10:28.725318519Z
同步时间	2024-10-16 10:32
更新时间	2025-02-21 16:36

环境变量

PATH=/opt/gdrcopy/bin:/opt/amazon/openmpi/bin/:/opt/amazon/efa/bin:/usr/bin:/usr/local/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>=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/gdrcopy/lib:/usr/local/cuda/compat:/usr/local/cuda/extras/CUPTI/lib64:/opt/amazon/openmpi/lib:/opt/nccl/build/lib:/opt/amazon/efa/lib:/opt/aws-ofi-nccl/install/lib:/usr/local/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 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=/opt/gdrcopy/lib:/usr/local/cuda/compat/:/usr/local/cuda/lib64/stubs OPAL_PREFIX=/opt/amazon/openmpi CPATH=/opt/gdrcopy/include: OMPI_MCA_pml=^cm,ucx OMPI_MCA_btl=tcp,self OMPI_MCA_btl_tcp_if_exclude=lo,docker0,veth_def_agent NCCL_SOCKET_IFNAME=^docker,lo,veth_def_agent,eth PMIX_MCA_gds=hash LD_PRELOAD=/opt/nccl/build/lib/libnccl.so

镜像标签

NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2024-10-16T01:44:02.046Z: org.opencontainers.image.created NCCL Tests: org.opencontainers.image.description BSD-3-Clause: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name 8750ebd77a63518e7ecd418a0685072d08930e9e: org.opencontainers.image.revision https://github.com/saymololy/nccl-tests: org.opencontainers.image.source nccl-tests: org.opencontainers.image.title https://github.com/saymololy/nccl-tests: org.opencontainers.image.url master: 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: 2024-10-24 18:13

低危漏洞:157

中危漏洞:487

高危漏洞:1

严重漏洞:0

ghcr.io/saymololy/nccl-tests:master (ubuntu 22.04) (ubuntu)

Python (python-pkg)

/etc/ssh/ssh_host_ecdsa_key ()

/etc/ssh/ssh_host_ed25519_key ()

/etc/ssh/ssh_host_rsa_key ()

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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/saymololy/nccl-tests:master
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/saymololy/nccl-tests:master  ghcr.io/saymololy/nccl-tests:master

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/saymololy/nccl-tests:master
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/saymololy/nccl-tests:master  ghcr.io/saymololy/nccl-tests:master

Shell快速替换命令

sed -i 's#ghcr.io/saymololy/nccl-tests:master#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/saymololy/nccl-tests:master#' 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/saymololy/nccl-tests:master && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/saymololy/nccl-tests:master  ghcr.io/saymololy/nccl-tests:master'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/saymololy/nccl-tests:master && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/saymololy/nccl-tests:master  ghcr.io/saymololy/nccl-tests:master'

镜像构建历史


# 2024-10-16 10:10:28  0.00B 设置环境变量 LD_PRELOAD
ENV LD_PRELOAD=/opt/nccl/build/lib/libnccl.so
                        
# 2024-10-16 10:10:28  0.00B 设置环境变量 PMIX_MCA_gds
ENV PMIX_MCA_gds=hash
                        
# 2024-10-16 10:10:28  0.00B 设置环境变量 OMPI_MCA_pml OMPI_MCA_btl OMPI_MCA_btl_tcp_if_exclude OPAL_PREFIX NCCL_SOCKET_IFNAME
ENV OMPI_MCA_pml=^cm,ucx OMPI_MCA_btl=tcp,self OMPI_MCA_btl_tcp_if_exclude=lo,docker0,veth_def_agent OPAL_PREFIX=/opt/amazon/openmpi NCCL_SOCKET_IFNAME=^docker,lo,veth_def_agent,eth
                        
# 2024-10-16 10:10:28  0.00B 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-10-16 10:10:28  129.11MB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c git clone -b ${NCCL_TESTS_VERSION} https://github.com/NVIDIA/nccl-tests.git /opt/nccl-tests     && cd /opt/nccl-tests     && make -j $(nproc)     MPI=1     MPI_HOME=/opt/amazon/openmpi/     CUDA_HOME=/usr/local/cuda     NCCL_HOME=/opt/nccl/build     NVCC_GENCODE="-gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_89,code=sm_89 -gencode=arch=compute_90,code=sm_90" # buildkit
                        
# 2024-10-16 10:09:45  0.00B 
SHELL [/bin/sh -c]
                        
# 2024-10-16 10:09:45  914.56KB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/bash -c curl -OL https://github.com/aws/aws-ofi-nccl/releases/download/${AWS_OFI_NCCL_VERSION}/aws-ofi-nccl-${AWS_OFI_NCCL_VERSION//v}.tar.gz     && tar -xf aws-ofi-nccl-${AWS_OFI_NCCL_VERSION//v}.tar.gz     && cd aws-ofi-nccl-${AWS_OFI_NCCL_VERSION//v}     && ./configure --prefix=/opt/aws-ofi-nccl/install         --with-mpi=/opt/amazon/openmpi         --with-libfabric=/opt/amazon/efa         --with-cuda=/usr/local/cuda         --enable-platform-aws     && make -j $(nproc)     && make install     && cd ..     && rm -rf aws-ofi-nccl-${AWS_OFI_NCCL_VERSION//v}     && rm aws-ofi-nccl-${AWS_OFI_NCCL_VERSION//v}.tar.gz # buildkit
                        
# 2024-10-16 10:09:37  0.00B 
SHELL [/bin/bash -c]
                        
# 2024-10-16 10:09:37  3.28MB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c DEBIAN_FRONTEND=noninteractive apt-get install -y libhwloc-dev # buildkit
                        
# 2024-10-16 10:09:35  454.87MB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c git clone -b ${NCCL_VERSION} https://github.com/NVIDIA/nccl.git  /opt/nccl     && cd /opt/nccl     && make -j $(nproc) src.build CUDA_HOME=/usr/local/cuda     NVCC_GENCODE="-gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_89,code=sm_89 -gencode=arch=compute_90,code=sm_90" # buildkit
                        
# 2024-10-16 09:47:29  748.24MB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c cd $HOME     && curl -O https://efa-installer.amazonaws.com/aws-efa-installer-${EFA_INSTALLER_VERSION}.tar.gz     && tar -xf $HOME/aws-efa-installer-${EFA_INSTALLER_VERSION}.tar.gz     && cd aws-efa-installer     && ./efa_installer.sh -y -g -d --skip-kmod --skip-limit-conf --no-verify     && rm -rf $HOME/aws-efa-installer # buildkit
                        
# 2024-10-16 09:46:06  0.00B 设置环境变量 PATH
ENV PATH=/opt/gdrcopy/bin:/opt/amazon/openmpi/bin/:/opt/amazon/efa/bin:/usr/bin:/usr/local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-10-16 09:46:06  0.00B 设置环境变量 CPATH
ENV CPATH=/opt/gdrcopy/include:
                        
# 2024-10-16 09:46:06  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/opt/gdrcopy/lib:/usr/local/cuda/compat/:/usr/local/cuda/lib64/stubs
                        
# 2024-10-16 09:46:06  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/opt/gdrcopy/lib:/usr/local/cuda/compat:/usr/local/cuda/extras/CUPTI/lib64:/opt/amazon/openmpi/lib:/opt/nccl/build/lib:/opt/amazon/efa/lib:/opt/aws-ofi-nccl/install/lib:/usr/local/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-10-16 09:46:06  3.96MB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c git clone -b ${GDRCOPY_VERSION} https://github.com/NVIDIA/gdrcopy.git /tmp/gdrcopy     && cd /tmp/gdrcopy     && make prefix=/opt/gdrcopy install # buildkit
                        
# 2024-10-16 09:45:59  80.70MB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c curl https://bootstrap.pypa.io/get-pip.py -o /tmp/get-pip.py     && python3 /tmp/get-pip.py     && pip3 install awscli pynvml # buildkit
                        
# 2024-10-16 09:45:51  0.00B 设置环境变量 PATH
ENV PATH=/opt/amazon/openmpi/bin/:/opt/amazon/efa/bin:/usr/bin:/usr/local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-10-16 09:45:51  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64:/opt/amazon/openmpi/lib:/opt/nccl/build/lib:/opt/amazon/efa/lib:/opt/aws-ofi-nccl/install/lib:/usr/local/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-10-16 09:45:51  4.93KB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c sed -i 's/[ #]\(.*StrictHostKeyChecking \).*/ \1no/g' /etc/ssh/ssh_config &&     echo "    UserKnownHostsFile /dev/null" >> /etc/ssh/ssh_config &&     sed -i 's/#\(StrictModes \).*/\1no/g' /etc/ssh/sshd_config # buildkit
                        
# 2024-10-16 09:45:51  0.00B 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c mkdir -p /var/run/sshd # buildkit
                        
# 2024-10-16 09:45:50  298.24MB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated     apt-utils     autoconf     automake     build-essential     check     cmake     curl     debhelper     devscripts     git     gcc     gdb     kmod     libsubunit-dev     libtool     openssh-client     openssh-server     pkg-config     python3-distutils     vim     && apt-get install -y --upgrade ${NV_CUDA_COMPAT_PACKAGE} # buildkit
                        
# 2024-10-16 09:45:19  0.00B 设置环境变量 OPAL_PREFIX
ENV OPAL_PREFIX=
                        
# 2024-10-16 09:45:19  22.94KB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c rm -rf /opt/hpcx     && rm -rf /usr/local/mpi     && rm -f /etc/ld.so.conf.d/hpcx.conf     && ldconfig # buildkit
                        
# 2024-10-16 09:45:19  809.28KB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c apt-get remove -y --allow-change-held-packages     ibverbs-utils     libibverbs-dev     libibverbs1     libmlx5-1     libnccl2     libnccl-dev # buildkit
                        
# 2024-10-16 09:45:17  199.18MB 执行命令并创建新的镜像层
RUN |5 GDRCOPY_VERSION=v2.4.1 EFA_INSTALLER_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=v1.11.0-aws NCCL_VERSION=v2.23.4-1 NCCL_TESTS_VERSION=v2.13.10 /bin/sh -c apt-get update -y && apt-get upgrade -y # buildkit
                        
# 2024-10-16 09:45:17  0.00B 定义构建参数
ARG NCCL_TESTS_VERSION=v2.13.10
                        
# 2024-10-16 09:45:17  0.00B 定义构建参数
ARG NCCL_VERSION=v2.23.4-1
                        
# 2024-10-16 09:45:17  0.00B 定义构建参数
ARG AWS_OFI_NCCL_VERSION=v1.11.0-aws
                        
# 2024-10-16 09:45:17  0.00B 定义构建参数
ARG EFA_INSTALLER_VERSION=1.34.0
                        
# 2024-10-16 09:45:17  0.00B 定义构建参数
ARG GDRCOPY_VERSION=v2.4.1
                        
# 2023-11-10 14:55:21  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 14:55:21  383.52KB 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 14:55:17  4.72GB 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-11-8=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-8=${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
                        
# 2023-11-10 14:55:17  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:55:17  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.8
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.8.87-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.8.0.86-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.8.86-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.8.89-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
                        
# 2023-11-10 14:42:37  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 14:42:37  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 14:42:37  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 14:42:37  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 14:42:37  260.16KB 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 14:42:36  2.41GB 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-11-8=${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
                        
# 2023-11-10 14:42:36  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:42:36  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.8.0.86-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.8.86-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
                        
# 2023-11-10 14:37:16  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 14:37:16  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 14:37:16  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 14:37:16  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 14:37:16  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 14:37:16  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 14:37:16  150.67MB 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-11-8=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 14:37:01  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
                        
# 2023-11-10 14:37:01  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 14:37:01  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:37:01  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:37:01  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
                        
# 2023-11-10 14:37:01  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
                        
# 2023-11-10 14:37:01  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
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
                        
# 2023-11-10 14:37:01  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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    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-10-16T02:10:28.725318519Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/gdrcopy/bin:/opt/amazon/openmpi/bin/:/opt/amazon/efa/bin:/usr/bin:/usr/local/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\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/gdrcopy/lib:/usr/local/cuda/compat:/usr/local/cuda/extras/CUPTI/lib64:/opt/amazon/openmpi/lib:/opt/nccl/build/lib:/opt/amazon/efa/lib:/opt/aws-ofi-nccl/install/lib:/usr/local/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "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=/opt/gdrcopy/lib:/usr/local/cuda/compat/:/usr/local/cuda/lib64/stubs",
            "OPAL_PREFIX=/opt/amazon/openmpi",
            "CPATH=/opt/gdrcopy/include:",
            "OMPI_MCA_pml=^cm,ucx",
            "OMPI_MCA_btl=tcp,self",
            "OMPI_MCA_btl_tcp_if_exclude=lo,docker0,veth_def_agent",
            "NCCL_SOCKET_IFNAME=^docker,lo,veth_def_agent,eth",
            "PMIX_MCA_gds=hash",
            "LD_PRELOAD=/opt/nccl/build/lib/libnccl.so"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
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            "org.opencontainers.image.created": "2024-10-16T01:44:02.046Z",
            "org.opencontainers.image.description": "NCCL Tests",
            "org.opencontainers.image.licenses": "BSD-3-Clause",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "8750ebd77a63518e7ecd418a0685072d08930e9e",
            "org.opencontainers.image.source": "https://github.com/saymololy/nccl-tests",
            "org.opencontainers.image.title": "nccl-tests",
            "org.opencontainers.image.url": "https://github.com/saymololy/nccl-tests",
            "org.opencontainers.image.version": "master"
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    },
    "Metadata": {
        "LastTagTime": "2024-10-16T10:29:20.934211758+08:00"
    }
}

更多版本

ghcr.io/saymololy/nccl-tests:master

linux/amd64 ghcr.io9.29GB2024-10-16 10:32

134

ghcr.io/saymololy/nccl-tests:v0.0.1

linux/amd64 ghcr.io9.05GB2024-10-16 16:31

ghcr.io/saymololy/nccl-tests:master linux/amd64

镜像安全扫描 查看Trivy扫描报告

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