docker.io/guiji2025/fun-asr:1.0.2 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/fun-asr:1.0.2
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/fun-asr:1.0.2  docker.io/guiji2025/fun-asr:1.0.2

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/fun-asr:1.0.2
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/fun-asr:1.0.2  docker.io/guiji2025/fun-asr:1.0.2

Shell快速替换命令

sed -i 's#guiji2025/fun-asr:1.0.2#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/fun-asr:1.0.2#' 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/guiji2025/fun-asr:1.0.2 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/fun-asr:1.0.2  docker.io/guiji2025/fun-asr:1.0.2'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/fun-asr:1.0.2 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/guiji2025/fun-asr:1.0.2  docker.io/guiji2025/fun-asr:1.0.2'

镜像构建历史

# 2025-03-07 18:27:58  0.00B 设置默认要执行的命令
CMD ["/run.sh"]
                        
# 2025-03-07 18:27:58  501.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /run.sh # buildkit
                        
# 2025-03-07 18:27:56  501.00B 复制新文件或目录到容器中
COPY run.sh /run.sh # buildkit
                        
# 2025-03-07 18:27:54  3.86GB 复制新文件或目录到容器中
COPY ./models /workspace/models # buildkit
                        
# 2025-03-07 18:27:54  0.00B 声明容器运行时监听的端口
EXPOSE map[10095/tcp:{}]
                        
# 2025-03-07 18:27:54  0.00B 设置环境变量 TZ
ENV TZ=Asia/Shanghai
                        
# 2024-09-26 00:17:02  3.24KB 
/bin/sh -c sed -i '$d' /root/.bashrc &&     sed -i '$d' /root/.bashrc &&     echo 'export FUNASR_SERVICE_VERSION="funasr-runtime-sdk-gpu-0.2.0"' >> /root/.bashrc &&     echo 'env LANG="$LANG" PATH="$PATH" TERM="$TERM" "/etc/init.d/daemon" restart' >> /root/.bashrc
                        
# 2024-09-26 00:17:02  75.65MB 
/bin/sh -c git checkout -- setup.py &&     git pull &&     cd runtime/websocket &&     mkdir -p build && cd build &&     cmake  -DCMAKE_BUILD_TYPE=release -DGPU=ON .. -DONNXRUNTIME_DIR=/workspace/onnxruntime-linux-x64-1.14.0 -DFFMPEG_DIR=/workspace/ffmpeg-master-latest-linux64-gpl-shared &&     make -j 10
                        
# 2024-09-26 00:15:20  0.00B 
/bin/sh -c #(nop) WORKDIR /workspace/FunASR
                        
# 2024-07-01 20:48:49  3.24KB 
/bin/sh -c echo 'export FUNASR_SERVICE_VERSION="funasr-runtime-sdk-gpu-0.1.1"' >> /root/.bashrc &&     echo 'env LANG="$LANG" PATH="$PATH" TERM="$TERM" "/etc/init.d/daemon" restart' >> /root/.bashrc
                        
# 2024-07-01 20:48:49  19.40MB 
/bin/sh -c mv /workspace/scripts/run_server_gpu.sh /workspace/FunASR/runtime/run_server.sh &&     mv /workspace/scripts/daemon.sh /etc/init.d/daemon && chmod a+x /etc/init.d/daemon &&     mkdir -p /workspace/models && mkdir -p /etc/daemon/data && mkdir -p /etc/docker/ &&     mv /workspace/scripts/daemon.cuda /etc/docker/daemon &&     chmod a+x /etc/docker/daemon &&      mv /workspace/scripts/funasr_progress.py /workspace/FunASR/funasr/utils/ &&     chmod a+x /workspace/FunASR/funasr/utils/funasr_progress.py &&      mv /workspace/scripts/config.json /etc/daemon/ &&     mv /workspace/scripts/ip2region.xdb  /etc/daemon/data/ &&     rm -rf /workspace/scripts
                        
# 2024-07-01 20:48:48  30.63MB 
/bin/sh -c #(nop) COPY dir:ed7d2cf9a5e44b0382217923b44798acda4b3b7d171389a365bb12caa18cfc43 in /workspace/scripts 
                        
# 2024-07-01 20:48:48  0.00B 
/bin/sh -c #(nop) WORKDIR /workspace
                        
# 2024-06-28 14:17:56  200.23MB 
/bin/sh -c cd FunASR/runtime/websocket &&     git pull &&     mkdir -p build && cd build &&     cmake  -DCMAKE_BUILD_TYPE=release -DGPU=ON .. -DONNXRUNTIME_DIR=/workspace/onnxruntime-linux-x64-1.14.0 -DFFMPEG_DIR=/workspace/ffmpeg-master-latest-linux64-gpl-shared &&     make -j 10
                        
# 2024-06-28 14:15:16  868.59MB 
/bin/sh -c pip config set global.index-url https://mirrors.aliyun.com/pypi/simple  &&     pip install modelscope humanfriendly &&     git clone https://github.com/alibaba-damo-academy/FunASR.git &&     cd FunASR &&     sed -i 's/"rotary_embedding_torch",/#"rotary_embedding_torch",/' setup.py &&     sed -i 's/"openai-whisper",/#"openai-whisper",/' setup.py &&     pip install -e ./ &&     rm -rf ~/.cache/pip
                        
# 2024-06-28 14:09:08  172.85MB 
/bin/sh -c wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/onnxruntime-linux-x64-1.14.0.tgz &&     tar -zxvf onnxruntime-linux-x64-1.14.0.tgz &&     rm -fr onnxruntime-linux-x64-1.14.0.tgz &&     wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/ffmpeg-master-latest-linux64-gpl-shared.tar.xz &&     tar -xf ffmpeg-master-latest-linux64-gpl-shared.tar.xz &&     rm -fr ffmpeg-master-latest-linux64-gpl-shared.tar.xz
                        
# 2024-06-28 14:09:03  0.00B 
/bin/sh -c #(nop) WORKDIR /workspace
                        
# 2023-06-01 14:47:10  0.00B 
/bin/sh -c rm -f ./torch_blade-0.2.0+1.12.0.cu113-cp38-cp38-linux_x86_64.whl
                        
# 2023-06-01 14:47:10  898.49MB 
/bin/sh -c pip3 install ./torch_blade-0.2.0+1.12.0.cu113-cp38-cp38-linux_x86_64.whl --index-url http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com --disable-pip-version-check
                        
# 2023-06-01 14:46:16  300.46MB 
/bin/sh -c #(nop) ADD file:1356ddf6fbd81c9b24da440b77bb6d89cad3964c8054ebdea396c4e312b67f29 in ./torch_blade-0.2.0+1.12.0.cu113-cp38-cp38-linux_x86_64.whl 
                        
# 2023-06-01 14:46:15  0.00B 
/bin/sh -c rm -f ./torchaudio-0.12.0+cu113-cp38-cp38-linux_x86_64.whl
                        
# 2023-06-01 14:46:14  12.98MB 
/bin/sh -c pip3 install ./torchaudio-0.12.0+cu113-cp38-cp38-linux_x86_64.whl --index-url http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com --disable-pip-version-check
                        
# 2023-06-01 14:46:13  3.83MB 
/bin/sh -c #(nop) ADD file:69875cf591c2696dc1a57be6fde7c14bdc65641f25656087a028e5f488459174 in ./torchaudio-0.12.0+cu113-cp38-cp38-linux_x86_64.whl 
                        
# 2023-06-01 14:46:13  0.00B 
/bin/sh -c rm -f ./torch-1.12.0+cu113-cp38-cp38-linux_x86_64.whl
                        
# 2023-06-01 14:46:12  3.46GB 
/bin/sh -c pip3 install ./torch-1.12.0+cu113-cp38-cp38-linux_x86_64.whl --index-url http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com --disable-pip-version-check
                        
# 2023-06-01 14:44:55  1.84GB 
/bin/sh -c #(nop) ADD file:9540cc95c8a78e989320db1dee6b55126775d846d896ef9e608049608fd6b968 in ./torch-1.12.0+cu113-cp38-cp38-linux_x86_64.whl 
                        
# 2022-11-22 17:31:02  0.00B 
/bin/sh -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/TensorRT/lib/:/usr/local/cuda/lib64/:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-11-22 17:31:02  0.00B 
/bin/sh -c #(nop)  ENV PATH=/opt/cmake/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2022-11-22 17:30:52  3.93GB 
|1 DEVICE=cu113 /bin/sh -c bash /install/scripts/install-cudnn.sh
                        
# 2022-11-22 17:27:20  1.95GB 
|1 DEVICE=cu113 /bin/sh -c bash /install/scripts/install-tensorrt.sh
                        
# 2022-11-22 17:25:19  0.00B 
/bin/sh -c #(nop)  ARG DEVICE=cu110
                        
# 2022-11-22 17:25:18  207.47MB 
/bin/sh -c bash /install/scripts/install-python.sh
                        
# 2022-11-22 17:25:00  61.44MB 
/bin/sh -c bash /install/scripts/install-bazel.sh
                        
# 2022-11-22 17:24:46  119.87MB 
/bin/sh -c bash /install/scripts/install-cmake.sh
                        
# 2022-11-22 17:24:38  805.45MB 
/bin/sh -c apt-get update -y && apt-get install -y git curl vim libssl-dev wget unzip openjdk-11-jdk patchelf
                        
# 2022-10-28 15:36:25  41.09MB 
/bin/sh -c bash /install/scripts/find-fastest-apt.sh
                        
# 2022-10-28 15:36:10  11.58KB 
/bin/sh -c #(nop) COPY dir:02592bba55f1af8c5ee9082557de7f609bd0e811050b5dc62a8da6dff5cad49a in /install/scripts 
                        
# 2022-08-03 16:42:18  0.00B 
/bin/sh -c #(nop)  ENV ENABLE_FIND_FASTEST_APT_SOURCE=OFF
                        
# 2022-08-03 16:42:18  0.00B 
/bin/sh -c #(nop)  ARG ENABLE_FIND_FASTEST_APT_SOURCE=ON
                        
# 2022-08-03 16:42:18  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive
                        
# 2022-08-03 16:42:18  0.00B 
/bin/sh -c #(nop)  ENV PYTHON_VERSION=PYTHON3.8
                        
# 2022-08-03 16:42:18  0.00B 
/bin/sh -c #(nop)  ARG PYTHON_VERSION=PYTHON3.6
                        
# 2022-08-03 16:42:18  0.00B 
/bin/sh -c #(nop)  ENV DISC_HOST_TF_VERSION=
                        
# 2022-08-03 16:42:18  0.00B 
/bin/sh -c #(nop)  ARG DISC_HOST_TF_VERSION=
                        
# 2022-05-20 14:59:33  4.02GB 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
                        
# 2022-05-20 14:59:33  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.2.0.53
                        
# 2022-05-20 14:59:33  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:59:33  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:59:33  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2022-05-20 14:59:33  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.2.0.53-1+cuda11.3
                        
# 2022-05-20 14:59:33  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.2.0.53-1+cuda11.3
                        
# 2022-05-20 14:59:33  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.2.0.53
                        
# 2022-05-20 14:43:58  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2022-05-20 14:43:58  371.37KB 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
                        
# 2022-05-20 14:43:57  2.25GB 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     libtinfo5 libncursesw5     cuda-cudart-dev-11-3=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-3=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-3=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-3=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-3=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-3=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:43:57  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:43:57  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.9.6-1+cuda11.3
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.9.6-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.9.6-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-3=11.3.58-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.3.58-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-3=11.4.2.10064-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-3
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.4.2.10064-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-3=11.3.3.44-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.3.3.44-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.5.0.58-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.3.58-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.3.58-1
                        
# 2022-05-20 14:43:57  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.3.0-1
                        
# 2022-05-20 14:36:12  255.91KB 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
                        
# 2022-05-20 14:36:12  1.64GB 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-11-3=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-3=${NV_NVTX_VERSION}     libcusparse-11-3=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:36:12  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:36:12  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.9.6-1+cuda11.3
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.9.6-1
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.9.6-1
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.4.2.10064-1
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.4.2.10064-1
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.5.0.58-1
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.44-1
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.3.3.44-1
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.3.58-1
                        
# 2022-05-20 14:36:12  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.3.0-1
                        
# 2022-05-20 14:32:53  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-05-20 14:32:53  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-05-20 14:32:53  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-05-20 14:32:53  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-05-20 14:32:53  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
                        
# 2022-05-20 14:32:53  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
                        
# 2022-05-20 14:32:53  34.15MB 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-11-3=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.3 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:32:45  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.3.0
                        
# 2022-05-20 14:32:45  18.28MB 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 -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:32:45  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:32:45  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:32:45  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-3
                        
# 2022-05-20 14:32:45  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.3.58-1
                        
# 2022-05-20 14:32:45  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand driver>
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.3 brand=tesla,driver>=418,driver<419 driver>=450
                        
# 2022-05-20 14:32:45  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2022-04-30 07:20:59  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-04-30 07:20:59  72.76MB 
/bin/sh -c #(nop) ADD file:7009ad0ee0bbe5ed7f381792e07347e260e6896aeee0d80597808065120fa96b in / 
                        
                    

镜像信息

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    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-03-07T18:27:58.077860075+08:00",
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            "DISC_HOST_TF_VERSION=",
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            "TZ=Asia/Shanghai"
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