docker.io/anyscale/ray:2.34.0-py311-cu121 linux/amd64

docker.io/anyscale/ray:2.34.0-py311-cu121 - 国内下载镜像源 浏览次数:31

Ray是一个分布式计算框架,提供了一个高效、易于使用的接口来构建大规模数据处理和机器学习应用程序。

该镜像用于运行Ray应用程序,提供了一个完整的Python环境,包括Ray库和其他常见的科学计算库。

使用这个镜像,您可以快速启动一个Ray集群,并开始构建和运行分布式数据处理和机器学习应用程序。

源镜像 docker.io/anyscale/ray:2.34.0-py311-cu121
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anyscale/ray:2.34.0-py311-cu121
镜像ID sha256:7d279606bb95aef4e8ae527a79aa9604a08d9a538347bd009cab084edacd78f0
镜像TAG 2.34.0-py311-cu121
大小 14.14GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /home/ray
OS/平台 linux/amd64
浏览量 31 次
贡献者
镜像创建 2024-07-29T22:49:25.671554602Z
同步时间 2024-08-06 11:31
更新时间 2024-09-14 21:25
环境变量
PATH=/home/ray/anaconda3/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>=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 NV_CUDNN_VERSION=8.9.0.131 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.1 TZ=America/Los_Angeles LC_ALL=C.UTF-8 LANG=C.UTF-8 HOME=/home/ray RAY_USAGE_STATS_SOURCE=ANYSCALE RAY_USAGE_STATS_PROMPT_ENABLED=0 RAY_USAGE_STATS_ENABLED=1 TERM=xterm
镜像标签
common/ray-opt/2.34.0/a0b19139efa1e2749677886e37ef4a09dd0bc111/ray-opt-py311.tar.gz: com.anyscale.ray.prestart-data-path 8.9.0.131: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anyscale/ray:2.34.0-py311-cu121
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anyscale/ray:2.34.0-py311-cu121  docker.io/anyscale/ray:2.34.0-py311-cu121

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anyscale/ray:2.34.0-py311-cu121
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anyscale/ray:2.34.0-py311-cu121  docker.io/anyscale/ray:2.34.0-py311-cu121

Shell快速替换命令

sed -i 's#anyscale/ray:2.34.0-py311-cu121#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anyscale/ray:2.34.0-py311-cu121#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2024-07-30 06:49:25 RUN |6 ANYSCALE_CLI=anyscale EFA_VERSION=1.28.0 AWS_OFI_NCCL_VERSION=1.7.3-aws GDRCOPY_VERSION=2.4 SSH_PORT=5020 PYTHON_REQUIREMENTS=pip==23.1.2 jupyterlab==3.6.1 ipywidgets==8.0.6 opentelemetry-api==1.1.0 opentelemetry-sdk==1.1.0 opentelemetry-exporter-otlp==1.1.0 google-cloud-storage grpcio grpcio-tools awscli==1.27.105 awscliv2==2.2.0 pyyaml==5.3.1 jupyter_server_terminals==0.4.4 pyopenssl==23.0.0 /bin/bash -c mkdir -p /tmp/supervisord # buildkit
2.26GB 2024-07-30 06:49:25 RUN |6 ANYSCALE_CLI=anyscale EFA_VERSION=1.28.0 AWS_OFI_NCCL_VERSION=1.7.3-aws GDRCOPY_VERSION=2.4 SSH_PORT=5020 PYTHON_REQUIREMENTS=pip==23.1.2 jupyterlab==3.6.1 ipywidgets==8.0.6 opentelemetry-api==1.1.0 opentelemetry-sdk==1.1.0 opentelemetry-exporter-otlp==1.1.0 google-cloud-storage grpcio grpcio-tools awscli==1.27.105 awscliv2==2.2.0 pyyaml==5.3.1 jupyter_server_terminals==0.4.4 pyopenssl==23.0.0 /bin/bash -c /dev/pipes/EOF # buildkit
0.00B 2024-07-30 06:45:53 RUN |6 ANYSCALE_CLI=anyscale EFA_VERSION=1.28.0 AWS_OFI_NCCL_VERSION=1.7.3-aws GDRCOPY_VERSION=2.4 SSH_PORT=5020 PYTHON_REQUIREMENTS=pip==23.1.2 jupyterlab==3.6.1 ipywidgets==8.0.6 opentelemetry-api==1.1.0 opentelemetry-sdk==1.1.0 opentelemetry-exporter-otlp==1.1.0 google-cloud-storage grpcio grpcio-tools awscli==1.27.105 awscliv2==2.2.0 pyyaml==5.3.1 jupyter_server_terminals==0.4.4 pyopenssl==23.0.0 /bin/bash -c sudo chmod 755 /home/ray # buildkit
0.00B 2024-07-30 06:45:52 ARG PYTHON_REQUIREMENTS=pip==23.1.2 jupyterlab==3.6.1 ipywidgets==8.0.6 opentelemetry-api==1.1.0 opentelemetry-sdk==1.1.0 opentelemetry-exporter-otlp==1.1.0 google-cloud-storage grpcio grpcio-tools awscli==1.27.105 awscliv2==2.2.0 pyyaml==5.3.1 jupyter_server_terminals==0.4.4 pyopenssl==23.0.0
42.00B 2024-07-30 06:45:52 COPY boto_config /home/ray/.boto # buildkit
367.00B 2024-07-30 06:45:52 COPY check_anyscale_services_dependencies.sh /etc/anyscale/check_anyscale_services_dependencies.sh # buildkit
0.00B 2024-07-30 06:45:52 COPY anyscale-*.tar.gz . # buildkit
0.00B 2024-07-30 06:45:52 ARG SSH_PORT=5020
0.00B 2024-07-30 06:45:52 ENV TERM=xterm
0.00B 2024-07-30 06:45:52 ENV RAY_USAGE_STATS_ENABLED=1
0.00B 2024-07-30 06:45:52 ENV RAY_USAGE_STATS_PROMPT_ENABLED=0
0.00B 2024-07-30 06:45:52 ENV RAY_USAGE_STATS_SOURCE=ANYSCALE
0.00B 2024-07-30 06:45:52 ARG GDRCOPY_VERSION=2.4
0.00B 2024-07-30 06:45:52 ARG AWS_OFI_NCCL_VERSION=1.7.3-aws
0.00B 2024-07-30 06:45:52 ARG EFA_VERSION=1.28.0
0.00B 2024-07-30 06:45:52 ARG ANYSCALE_CLI=anyscale
1.11KB 2024-07-30 06:07:04 COPY NOTICE /NOTICE # buildkit
517.00B 2024-07-30 06:07:04 COPY LICENSE /LICENSE # buildkit
947.16MB 2024-07-30 06:07:04 RUN |3 WHEEL_PATH=.whl/ray-2.34.0-cp311-cp311-manylinux2014_x86_64.whl RAY_VERSION=2.34.0 PRESTART_DATA_PATH=common/ray-opt/2.34.0/a0b19139efa1e2749677886e37ef4a09dd0bc111/ray-opt-py311.tar.gz /bin/bash -c /dev/pipes/EOF # buildkit
95.25MB 2024-07-30 06:06:12 COPY version-envs.sh download_anyscale_data ray-prestart runtime-requirements.txt ray-oss.tgz ray-opt*.tgz /opt/anyscale/ # buildkit
60.82KB 2024-07-30 06:04:18 COPY requirements_compiled.txt ./ # buildkit
0.00B 2024-07-30 06:04:18 LABEL com.anyscale.ray.prestart-data-path=common/ray-opt/2.34.0/a0b19139efa1e2749677886e37ef4a09dd0bc111/ray-opt-py311.tar.gz
0.00B 2024-07-30 06:04:18 ARG PRESTART_DATA_PATH
0.00B 2024-07-30 06:04:18 ARG RAY_VERSION=3.0.0.dev0
0.00B 2024-07-30 06:04:18 ARG WHEEL_PATH
0.00B 2024-07-30 01:08:07 WORKDIR /home/ray
1.35GB 2024-07-30 01:08:07 RUN |7 BASE_IMAGE=nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04 AUTOSCALER=autoscaler DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.11 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/bash -c sudo apt-get update -y && sudo apt-get upgrade -y && sudo apt-get install -y git libjemalloc-dev wget cmake g++ zlib1g-dev $(if [ "$AUTOSCALER" = "autoscaler" ]; then echo tmux screen rsync netbase openssh-client gnupg; fi) && wget --quiet "https://repo.anaconda.com/miniconda/Miniconda3-py311_24.4.0-0-Linux-${HOSTTYPE}.sh" -O /tmp/miniconda.sh && /bin/bash /tmp/miniconda.sh -b -u -p $HOME/anaconda3 && $HOME/anaconda3/bin/conda init && echo 'export PATH=$HOME/anaconda3/bin:$PATH' >> /home/ray/.bashrc && rm /tmp/miniconda.sh && $HOME/anaconda3/bin/conda install -y libgcc-ng python=$PYTHON_VERSION && $HOME/anaconda3/bin/conda install -y -c conda-forge libffi=3.4.2 && $HOME/anaconda3/bin/conda clean -y --all && $HOME/anaconda3/bin/pip install --no-cache-dir flatbuffers cython==0.29.37 numpy\>=1.20 psutil && $HOME/anaconda3/bin/pip uninstall -y dask && sudo apt-get autoremove -y cmake zlib1g-dev $(if [[ "$BASE_IMAGE" == "ubuntu:22.04" && "$HOSTTYPE" == "x86_64" ]]; then echo g++; fi) && sudo rm -rf /var/lib/apt/lists/* && sudo apt-get clean && (if [ "$AUTOSCALER" = "autoscaler" ]; then $HOME/anaconda3/bin/pip --no-cache-dir install "redis>=3.5.0,<4.0.0" "six==1.13.0" "boto3==1.26.76" "pyOpenSSL==22.1.0" "cryptography==38.0.1" "google-api-python-client==1.7.8" "google-oauth" "azure-cli-core==2.40.0" "azure-identity==1.10.0" "azure-mgmt-compute==23.1.0" "azure-mgmt-network==19.0.0" "azure-mgmt-resource==20.0.0" "msrestazure==0.6.4"; fi;) # buildkit
0.00B 2024-07-30 01:06:44 SHELL [/bin/bash -c]
0.00B 2024-07-30 01:06:44 ENV HOME=/home/ray
0.00B 2024-07-30 01:06:44 USER 1000
7.20MB 2024-07-30 01:06:44 RUN |7 BASE_IMAGE=nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04 AUTOSCALER=autoscaler DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.11 HOSTTYPE=x86_64 RAY_UID=1000 RAY_GID=100 /bin/sh -c apt-get update -y && apt-get install -y sudo tzdata && useradd -ms /bin/bash -d /home/ray ray --uid $RAY_UID --gid $RAY_GID && usermod -aG sudo ray && echo 'ray ALL=NOPASSWD: ALL' >> /etc/sudoers && rm -rf /var/lib/apt/lists/* && apt-get clean # buildkit
0.00B 2024-07-30 01:06:44 ARG RAY_GID=100
0.00B 2024-07-30 01:06:44 ARG RAY_UID=1000
0.00B 2024-07-30 01:06:44 ARG HOSTTYPE=x86_64
0.00B 2024-07-30 01:06:44 ARG PYTHON_VERSION=3.8.16
0.00B 2024-07-30 01:06:44 ARG DEBIAN_FRONTEND=noninteractive
0.00B 2024-07-30 01:06:44 ENV PATH=/home/ray/anaconda3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
0.00B 2024-07-30 01:06:44 ENV LANG=C.UTF-8
0.00B 2024-07-30 01:06:44 ENV LC_ALL=C.UTF-8
0.00B 2024-07-30 01:06:44 ENV TZ=America/Los_Angeles
0.00B 2024-07-30 01:06:44 ARG AUTOSCALER=autoscaler
0.00B 2024-07-30 01:06:44 ARG BASE_IMAGE
2.45GB 2023-11-10 13:52:16 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
0.00B 2023-11-10 13:52:16 LABEL com.nvidia.cudnn.version=8.9.0.131
0.00B 2023-11-10 13:52:16 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:52:16 ARG TARGETARCH
0.00B 2023-11-10 13:52:16 ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.1
0.00B 2023-11-10 13:52:16 ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1
0.00B 2023-11-10 13:52:16 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2023-11-10 13:52:16 ENV NV_CUDNN_VERSION=8.9.0.131
0.00B 2023-11-10 13:25:51 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
385.69KB 2023-11-10 13:25:51 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
4.79GB 2023-11-10 13:25:51 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-1=${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
0.00B 2023-11-10 13:25:51 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:25:51 ARG TARGETARCH
0.00B 2023-11-10 13:25:51 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1
0.00B 2023-11-10 13:25:51 ENV NCCL_VERSION=2.17.1-1
0.00B 2023-11-10 13:25:51 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
0.00B 2023-11-10 13:25:51 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2023-11-10 13:25:51 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1
0.00B 2023-11-10 13:25:51 ENV NV_NVPROF_VERSION=12.1.105-1
0.00B 2023-11-10 13:25:51 ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.1-1
0.00B 2023-11-10 13:25:51 ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-1
0.00B 2023-11-10 13:25:51 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1
0.00B 2023-11-10 13:25:51 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1
0.00B 2023-11-10 13:25:51 ENV NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1
0.00B 2023-11-10 13:25:51 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1
0.00B 2023-11-10 13:25:51 ENV NV_LIBNPP_DEV_VERSION=12.1.0.40-1
0.00B 2023-11-10 13:25:51 ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1
0.00B 2023-11-10 13:25:51 ENV NV_NVML_DEV_VERSION=12.1.105-1
0.00B 2023-11-10 13:25:51 ENV NV_CUDA_CUDART_DEV_VERSION=12.1.105-1
0.00B 2023-11-10 13:25:51 ENV NV_CUDA_LIB_VERSION=12.1.1-1
0.00B 2023-11-10 13:13:35 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-11-10 13:13:35 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-11-10 13:13:35 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-11-10 13:13:35 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
261.40KB 2023-11-10 13:13:35 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.01GB 2023-11-10 13:13:35 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-1=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-1=${NV_NVTX_VERSION} libcusparse-12-1=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:13:35 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:13:35 ARG TARGETARCH
0.00B 2023-11-10 13:13:35 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
0.00B 2023-11-10 13:13:35 ENV NCCL_VERSION=2.17.1-1
0.00B 2023-11-10 13:13:35 ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
0.00B 2023-11-10 13:13:35 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-11-10 13:13:35 ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1
0.00B 2023-11-10 13:13:35 ENV NV_LIBCUBLAS_VERSION=12.1.3.1-1
0.00B 2023-11-10 13:13:35 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
0.00B 2023-11-10 13:13:35 ENV NV_LIBCUSPARSE_VERSION=12.1.0.106-1
0.00B 2023-11-10 13:13:35 ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1
0.00B 2023-11-10 13:13:35 ENV NV_LIBNPP_VERSION=12.1.0.40-1
0.00B 2023-11-10 13:13:35 ENV NV_NVTX_VERSION=12.1.105-1
0.00B 2023-11-10 13:13:35 ENV NV_CUDA_LIB_VERSION=12.1.1-1
0.00B 2023-11-10 13:08:12 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-11-10 13:08:12 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-11-10 13:08:12 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-11-10 13:08:12 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-11-10 13:08:12 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-11-10 13:08:12 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
149.59MB 2023-11-10 13:08:11 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-1=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:07:58 ENV CUDA_VERSION=12.1.1
10.56MB 2023-11-10 13:07:58 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:07:58 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:07:58 ARG TARGETARCH
0.00B 2023-11-10 13:07:58 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
0.00B 2023-11-10 13:07:58 ENV NV_CUDA_CUDART_VERSION=12.1.105-1
0.00B 2023-11-10 13:07:58 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
0.00B 2023-11-10 13:07:58 ENV NVARCH=x86_64
0.00B 2023-10-05 15:33:32 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.82MB 2023-10-05 15:33:32 /bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) ARG RELEASE

镜像信息

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