| 源镜像 |
docker.io/chatteohr/ktransformers:0.3.0-test  |
| 国内镜像 |
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chatteohr/ktransformers:0.3.0-test |
| 镜像ID |
sha256:7ad21972779bfec31aaeb036aad9c2f4d883dcccb9b730b067ad2717fe07314e |
| 镜像TAG |
0.3.0-test |
| 大小 |
13.70GB |
| 镜像源 |
docker.io |
| 项目信息 |
Docker-Hub主页 🚀项目TAG 🚀 |
| CMD |
|
| 启动入口 |
tail -f /dev/null |
| 工作目录 |
/workspace |
| OS/平台 |
linux/amd64
|
| 浏览量 |
39 次 |
| 贡献者 |
 |
| 镜像创建 |
2025-02-17T13:13:38.459934507Z |
| 同步时间 |
2025-02-18 22:56 |
| 更新时间 |
2025-02-22 04:50 |
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/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>=12.6 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
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=compute,utility
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_CUDA_CUDART_DEV_VERSION=12.6.77-1
NV_NVML_DEV_VERSION=12.6.77-1
NV_LIBCUSPARSE_DEV_VERSION=12.5.4.2-1
NV_LIBNPP_DEV_VERSION=12.3.1.54-1
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.54-1
NV_LIBCUBLAS_DEV_VERSION=12.6.4.1-1
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.4.1-1
NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.3-1
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.3-1
NV_NVPROF_VERSION=12.6.80-1
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.80-1
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.23.4-1
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.23.4-1+cuda12.6
LIBRARY_PATH=/usr/local/cuda/lib64/stubs
PYTORCH_VERSION=2.6.0
CUDA_HOME=/usr/local/cuda
nvidia_driver: com.nvidia.volumes.needed
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/chatteohr/ktransformers:0.3.0-test
docker tag swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chatteohr/ktransformers:0.3.0-test docker.io/chatteohr/ktransformers:0.3.0-test
Containerd拉取命令
ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chatteohr/ktransformers:0.3.0-test
ctr images tag swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chatteohr/ktransformers:0.3.0-test docker.io/chatteohr/ktransformers:0.3.0-test
Shell快速替换命令
sed -i 's#chatteohr/ktransformers:0.3.0-test#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chatteohr/ktransformers:0.3.0-test#' 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/chatteohr/ktransformers:0.3.0-test && docker tag swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chatteohr/ktransformers:0.3.0-test docker.io/chatteohr/ktransformers:0.3.0-test'
Ansible快速分发-Containerd
#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chatteohr/ktransformers:0.3.0-test && ctr images tag swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chatteohr/ktransformers:0.3.0-test docker.io/chatteohr/ktransformers:0.3.0-test'
镜像构建历史
# 2025-02-17 21:13:38 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tail" "-f" "/dev/null"]
# 2025-02-17 21:13:38 525.16MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt update -y && apt install -y --no-install-recommends \
git \
wget \
vim \
gcc \
g++ \
cmake &&
rm -rf /var/lib/apt/lists/* &&
wget https://github.com/kvcache-ai/ktransformers/releases/download/v0.1.4/ktransformers-0.3.0rc0+cu126torch26fancy-cp311-cp311-linux_x86_64.whl &&
pip install ./ktransformers-0.3.0rc0+cu126torch26fancy-cp311-cp311-linux_x86_64.whl
# buildkit
# 2025-02-17 21:13:10 21.87MB 复制新文件或目录到容器中
COPY /home/ktransformers /workspace/ktransformers # buildkit
# 2025-02-17 21:13:10 0.00B 设置环境变量 CUDA_HOME
ENV CUDA_HOME=/usr/local/cuda
# 2025-02-17 21:13:10 0.00B 设置工作目录为/workspace
WORKDIR /workspace
# 2025-01-30 01:29:05 0.00B 设置工作目录为/workspace
WORKDIR /workspace
# 2025-01-30 01:29:05 0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.6.0
# 2025-01-30 01:29:05 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-01-30 01:29:05 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2025-01-30 01:29:05 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2025-01-30 01:29:05 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2025-01-30 01:29:05 0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-01-30 01:29:05 0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.6.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.6.3 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends gcc; rm -rf /var/lib/apt/lists/*; fi # buildkit
# 2025-01-30 01:29:05 5.88GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
# 2025-01-30 01:25:15 3.33MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.6.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.6.3 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends ca-certificates libjpeg-dev libpng-dev && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-01-30 01:25:15 0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
# 2025-01-30 01:25:15 0.00B 定义构建参数
ARG CUDA_VERSION=12.6.3
# 2025-01-30 01:25:15 0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
# 2025-01-30 01:25:15 0.00B 定义构建参数
ARG TRITON_VERSION=
# 2025-01-30 01:25:15 0.00B 定义构建参数
ARG PYTORCH_VERSION=2.6.0
# 2024-11-23 02:31:03 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2024-11-23 02:31:03 389.37KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2024-11-23 02:31:03 4.88GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-6=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-6=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-6=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-6=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-6=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-6=${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
# 2024-11-23 02:31:03 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-11-23 02:31:03 0.00B 定义构建参数
ARG TARGETARCH
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.23.4-1+cuda12.6
# 2024-11-23 02:31:03 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.23.4-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.23.4-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.80-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.6.80-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.3-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.3-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.4.1-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.6.4.1-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.54-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.1.54-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.5.4.2-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.6.77-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.6.77-1
# 2024-11-23 02:31:03 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.3-1
# 2024-11-23 02:22:34 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2024-11-23 02:22:34 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2024-11-23 02:22:34 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2024-11-23 02:22:34 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 02:22:34 262.96KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2024-11-23 02:22:34 2.14GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-6=${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 02:22:34 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-11-23 02:22:34 0.00B 定义构建参数
ARG TARGETARCH
# 2024-11-23 02:22:34 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 02:22:34 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.23.4-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2024-11-23 02:22:34 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 02:22:34 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.6.4.1-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.4.2-1
# 2024-11-23 02:22:34 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 02:22:34 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.1.54-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.6.77-1
# 2024-11-23 02:22:34 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.3-1
# 2024-11-23 02:20:17 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2024-11-23 02:20:17 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2024-11-23 02:20:17 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2024-11-23 02:20:17 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 02:20:17 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 02:20:17 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 02:20:17 161.85MB 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
# 2024-10-13 05:01:58 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.3
# 2024-10-13 05:01:58 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
# 2024-10-13 05:01:58 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-10-13 05:01:58 0.00B 定义构建参数
ARG TARGETARCH
# 2024-10-13 05:01:58 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.77-1
# 2024-10-13 05:01:58 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 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
# 2024-10-13 05:01:58 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2024-09-12 00:25:18 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2024-09-12 00:25:17 77.86MB
/bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in /
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
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