镜像构建历史
# 2025-09-08 14:06:05 19.61KB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-3.0.0.dev0-cp312-cp312-manylinux2014_x86_64.whl FIND_LINKS_PATH=.whl CONSTRAINTS_FILE=requirements_compiled.txt /bin/bash -c $HOME/anaconda3/bin/pip freeze > /home/ray/pip-freeze.txt # buildkit
# 2025-09-08 14:06:05 874.62MB 执行命令并创建新的镜像层
RUN |3 WHEEL_PATH=.whl/ray-3.0.0.dev0-cp312-cp312-manylinux2014_x86_64.whl FIND_LINKS_PATH=.whl CONSTRAINTS_FILE=requirements_compiled.txt /bin/bash -c $HOME/anaconda3/bin/pip --no-cache-dir install -c $CONSTRAINTS_FILE `basename $WHEEL_PATH`[all] --find-links $FIND_LINKS_PATH && sudo rm `basename $WHEEL_PATH` # buildkit
# 2025-09-08 14:05:24 85.50MB 复制新文件或目录到容器中
COPY .whl .whl # buildkit
# 2025-09-08 14:05:24 70.60MB 复制新文件或目录到容器中
COPY .whl/ray-3.0.0.dev0-cp312-cp312-manylinux2014_x86_64.whl . # buildkit
# 2025-09-08 14:05:24 0.00B 定义构建参数
ARG CONSTRAINTS_FILE=requirements_compiled.txt
# 2025-09-08 14:05:24 0.00B 定义构建参数
ARG FIND_LINKS_PATH=.whl
# 2025-09-08 14:05:24 0.00B 定义构建参数
ARG WHEEL_PATH
# 2025-09-08 13:10:41 0.00B 设置工作目录为/home/ray
WORKDIR /home/ray
# 2025-09-08 13:10:41 680.55MB 执行命令并创建新的镜像层
RUN |4 DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.12 RAY_UID=1000 RAY_GID=100 /bin/bash -c /dev/pipes/EOF # buildkit
# 2025-09-08 13:09:58 0.00B
SHELL [/bin/bash -c]
# 2025-09-08 13:09:58 59.98KB 复制新文件或目录到容器中
COPY python/requirements_compiled.txt /home/ray/requirements_compiled.txt # buildkit
# 2025-09-08 13:09:58 0.00B 设置环境变量 HOME
ENV HOME=/home/ray
# 2025-09-08 13:09:58 0.00B 指定运行容器时使用的用户
USER 1000
# 2025-09-08 13:09:58 470.72MB 执行命令并创建新的镜像层
RUN |4 DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.12 RAY_UID=1000 RAY_GID=100 /bin/sh -c /dev/pipes/EOF # buildkit
# 2025-09-08 13:09:58 0.00B 定义构建参数
ARG RAY_GID=100
# 2025-09-08 13:09:58 0.00B 定义构建参数
ARG RAY_UID=1000
# 2025-09-08 13:09:58 0.00B 定义构建参数
ARG PYTHON_VERSION=3.9
# 2025-09-08 13:09:58 0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
# 2025-09-08 13:09:58 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib64
# 2025-09-08 13:09:58 0.00B 设置环境变量 PATH
ENV PATH=/home/ray/anaconda3/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin
# 2025-09-08 13:09:58 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2025-09-08 13:09:58 0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
# 2025-09-08 13:09:58 0.00B 设置环境变量 TZ
ENV TZ=America/Los_Angeles
# 2025-03-11 07:14:56 1.05GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-03-11 07:14:56 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.8.0.87-1
# 2025-03-11 07:14:56 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-03-11 07:14:56 0.00B 定义构建参数
ARG TARGETARCH
# 2025-03-11 07:14:56 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.8.0.87-1
# 2025-03-11 07:14:56 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.8.0.87-1
# 2025-03-11 07:14:56 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
# 2025-03-11 07:14:56 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.8.0.87-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2025-03-11 06:36:52 389.48KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2025-03-11 06:36:52 5.94GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-8=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-8=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-8=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-8=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-8=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-8=${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
# 2025-03-11 06:36:52 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-03-11 06:36:52 0.00B 定义构建参数
ARG TARGETARCH
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.25.1-1+cuda12.8
# 2025-03-11 06:36:52 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.25.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-8=12.8.90-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.8.90-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-8=12.8.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.8.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-8=12.8.4.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-8
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.8.4.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-8=12.3.3.100-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.3.100-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.5.8.93-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.8.90-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.8.90-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
# 2025-03-11 06:24:31 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2025-03-11 06:24:31 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2025-03-11 06:24:31 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2025-03-11 06:24:31 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2025-03-11 06:24:31 263.00KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2025-03-11 06:24:31 3.11GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-8=${NV_NVTX_VERSION} libcusparse-12-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-03-11 06:24:31 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-03-11 06:24:31 0.00B 定义构建参数
ARG TARGETARCH
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8
# 2025-03-11 06:24:31 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.4.1-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.8.93-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.100-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.90-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
# 2025-03-11 06:19:20 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2025-03-11 06:19:20 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2025-03-11 06:19:20 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2025-03-11 06:19:20 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
# 2025-03-11 06:19:20 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-03-11 06:19:20 22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2025-03-11 06:19:20 203.35MB 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-12-8=${NV_CUDA_CUDART_VERSION} cuda-compat-12-8 && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-03-11 06:19:05 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.1
# 2025-03-11 06:19:05 10.60MB 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_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-03-11 06:19:05 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-03-11 06:19:05 0.00B 定义构建参数
ARG TARGETARCH
# 2025-03-11 06:19:05 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.90-1
# 2025-03-11 06:19:05 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 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>=12.8 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 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
# 2025-03-11 06:19:05 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2025-01-26 13:31:11 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2025-01-26 13:31:10 77.86MB
/bin/sh -c #(nop) ADD file:1b6c8c9518be42fa2afe5e241ca31677fce58d27cdfa88baa91a65a259be3637 in /
# 2025-01-26 13:31:07 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2025-01-26 13:31:07 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2025-01-26 13:31:07 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2025-01-26 13:31:07 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:5ea8a8f5af6d1f25ab12c33e95d23f2b74557d41b1cfdde61a1eb506aa1d0462",
"RepoTags": [
"rayproject/ray:nightly-py312-cu128",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:nightly-py312-cu128"
],
"RepoDigests": [
"rayproject/ray@sha256:32fbc0f12489bf9af71f9fe7d915fe7750ebb2334d34e0893efe685edfa88840",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray@sha256:0b6d6faa2fdf4a3c6b35a70b182e6f44b07766b012d9a6af663b550b23f6aa1f"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-09-08T06:06:05.904382293Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "1000",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
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