docker.io/qwenllm/qwen:cu117 linux/amd64

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/qwenllm/qwen:cu117
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen:cu117  docker.io/qwenllm/qwen:cu117

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen:cu117
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen:cu117  docker.io/qwenllm/qwen:cu117

Shell快速替换命令

sed -i 's#qwenllm/qwen:cu117#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen:cu117#' 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/qwenllm/qwen:cu117 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen:cu117  docker.io/qwenllm/qwen:cu117'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen:cu117 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen:cu117  docker.io/qwenllm/qwen:cu117'

镜像构建历史

# 2024-01-15 12:45:47  0.00B 设置默认要执行的命令
CMD ["python3" "web_demo.py" "--server-port" "80" "--server-name" "0.0.0.0" "-c" "/data/shared/Qwen/Qwen-Chat/"]
                        
# 2024-01-15 12:45:47  0.00B 设置工作目录为/data/shared/Qwen/
WORKDIR /data/shared/Qwen/
                        
# 2024-01-15 12:45:47  0.00B 声明容器运行时监听的端口
EXPOSE map[80/tcp:{}]
                        
# 2024-01-15 12:45:47  14.03KB 复制新文件或目录到容器中
COPY ./finetune/* ./finetune/ # buildkit
                        
# 2024-01-15 12:45:47  95.50KB 复制新文件或目录到容器中
COPY ./eval/* ./eval/ # buildkit
                        
# 2024-01-15 12:45:47  139.06KB 复制新文件或目录到容器中
COPY ./examples/* ./examples/ # buildkit
                        
# 2024-01-15 12:45:47  1.39KB 复制新文件或目录到容器中
COPY ../utils.py ./ # buildkit
                        
# 2024-01-15 12:45:47  12.19KB 复制新文件或目录到容器中
COPY ../finetune.py ./ # buildkit
                        
# 2023-12-28 16:44:13  19.60KB 复制新文件或目录到容器中
COPY ../openai_api.py ./ # buildkit
                        
# 2023-12-28 16:44:13  7.51KB 复制新文件或目录到容器中
COPY ../web_demo.py ./ # buildkit
                        
# 2023-12-28 16:44:13  7.56KB 复制新文件或目录到容器中
COPY ../cli_demo.py ./ # buildkit
                        
# 2023-12-28 16:44:13  23.00B 复制新文件或目录到容器中
COPY ../requirements_web_demo.txt ./ # buildkit
                        
# 2023-12-28 16:44:13  91.00B 复制新文件或目录到容器中
COPY ../requirements.txt ./ # buildkit
                        
# 2023-12-28 16:44:13  0.00B 定义构建参数
ARG from
                        
# 2023-12-28 16:44:13  14.53MB 执行命令并创建新的镜像层
RUN |1 BUNDLE_OPENAI_API=true /bin/sh -c if [ "$BUNDLE_OPENAI_API" = "true" ]; then
    cd /data/shared/Qwen

    pip3 install fastapi uvicorn "openai<1.0.0" sse_starlette "pydantic<=1.10.13"
fi
 # buildkit
                        
# 2023-12-28 16:44:09  0.00B 定义构建参数
ARG BUNDLE_OPENAI_API=true
                        
# 2023-12-28 16:44:09  442.89MB 执行命令并创建新的镜像层
RUN |1 BUNDLE_FINETUNE=true /bin/sh -c if [ "$BUNDLE_FINETUNE" = "true" ]; then
    cd /data/shared/Qwen

    # Full-finetune / LoRA.
    pip3 install deepspeed "peft==0.5.0"

    # Q-LoRA.
    apt update -y && DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends \
        libopenmpi-dev openmpi-bin \
        && rm -rf /var/lib/apt/lists/*
    pip3 install "optimum==1.12.0" "auto-gptq==0.4.2" mpi4py
fi
 # buildkit
                        
# 2023-11-30 15:23:30  0.00B 定义构建参数
ARG BUNDLE_FINETUNE=true
                        
# 2023-11-30 15:23:30  661.08MB 执行命令并创建新的镜像层
RUN |1 BUNDLE_FLASH_ATTENTION=true /bin/sh -c if [ "$BUNDLE_FLASH_ATTENTION" = "true" ]; then
    cd /data/shared/Qwen 
    test -d flash-attention || git clone -b v2.3.3 https://github.com/Dao-AILab/flash-attention
    cd /data/shared/Qwen/flash-attention &&
        pip3 install . &&
        pip3 install csrc/layer_norm
fi
 # buildkit
                        
# 2023-11-30 15:09:36  0.00B 定义构建参数
ARG BUNDLE_FLASH_ATTENTION=true
                        
# 2023-11-30 15:09:36  7.53GB 执行命令并创建新的镜像层
RUN |1 BUNDLE_REQUIREMENTS=true /bin/sh -c if [ "$BUNDLE_REQUIREMENTS" = "true" ]; then 
    cd /data/shared/Qwen
    pip3 install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2
    pip3 install -r requirements.txt
    pip3 install -r requirements_web_demo.txt
fi
 # buildkit
                        
# 2023-11-30 15:04:39  0.00B 定义构建参数
ARG BUNDLE_REQUIREMENTS=true
                        
# 2023-11-30 15:04:39  23.00B 复制新文件或目录到容器中
COPY ../requirements_web_demo.txt ./ # buildkit
                        
# 2023-11-30 15:04:39  91.00B 复制新文件或目录到容器中
COPY ../requirements.txt ./ # buildkit
                        
# 2023-11-14 18:31:14  0.00B 设置工作目录为/data/shared/Qwen/
WORKDIR /data/shared/Qwen/
                        
# 2023-11-14 18:31:14  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /data/shared/Qwen # buildkit
                        
# 2023-11-14 18:31:14  0.00B 设置工作目录为/
WORKDIR /
                        
# 2023-11-14 18:31:14  126.00B 执行命令并创建新的镜像层
RUN |1 from=nvidia/cuda:11.7.1-cudnn8-devel-ubuntu20.04 /bin/sh -c git lfs install # buildkit
                        
# 2023-11-14 18:31:14  16.00B 执行命令并创建新的镜像层
RUN |1 from=nvidia/cuda:11.7.1-cudnn8-devel-ubuntu20.04 /bin/sh -c ln -s /usr/bin/python3 /usr/bin/python # buildkit
                        
# 2023-11-14 18:31:14  146.95MB 执行命令并创建新的镜像层
RUN |1 from=nvidia/cuda:11.7.1-cudnn8-devel-ubuntu20.04 /bin/sh -c apt update -y && apt upgrade -y && apt install -y --no-install-recommends  \
    git \
    git-lfs \
    python3 \
    python3-pip \
    python3-dev \
    wget \
    vim \
&& rm -rf /var/lib/apt/lists/*
 # buildkit
                        
# 2023-11-14 18:31:14  0.00B 定义构建参数
ARG from
                        
# 2023-11-10 15:42:08  1.94GB 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     ${NV_CUDNN_PACKAGE}     ${NV_CUDNN_PACKAGE_DEV}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 15:42:08  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.5.0.96
                        
# 2023-11-10 15:42:08  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 15:42:08  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 15:42:08  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.5.0.96-1+cuda11.7
                        
# 2023-11-10 15:42:08  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.5.0.96-1+cuda11.7
                        
# 2023-11-10 15:42:08  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2023-11-10 15:42:08  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.5.0.96
                        
# 2023-11-10 15:18:37  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 15:18:37  376.68KB 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 15:18:36  3.70GB 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-11-7=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-7=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-7=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-7=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-7=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-7=${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 15:18:36  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 15:18:36  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.13.4-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.101-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.7.101-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-7=11.7.1-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.7.1-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.3.66-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.10.3.66-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.4.75-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.7.4.75-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.4.91-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.7.91-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.7.99-1
                        
# 2023-11-10 15:18:36  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.7.1-1
                        
# 2023-11-10 15:08:54  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 15:08:54  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 15:08:54  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 15:08:54  258.27KB 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 15:08:54  1.82GB 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-11-7=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-7=${NV_NVTX_VERSION}     libcusparse-11-7=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 15:08:54  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 15:08:54  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.13.4-1
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.3.66-1
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.10.3.66-1
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.4.91-1
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.4.75-1
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.7.4.75-1
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.7.91-1
                        
# 2023-11-10 15:08:54  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.7.1-1
                        
# 2023-11-10 15:04:06  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 15:04:06  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 15:04:06  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 15:04:06  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 15:04:06  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 15:04:06  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 15:04:06  119.68MB 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-11-7=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 15:03:48  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.7.1
                        
# 2023-11-10 15:03:48  18.32MB 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
                        
# 2023-11-10 15:03:48  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 15:03:48  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 15:03:48  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
                        
# 2023-11-10 15:03:48  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.7.99-1
                        
# 2023-11-10 15:03:48  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>=11.7 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 15:03:48  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-03 18:45:52  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-03 18:45:51  72.79MB 
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in / 
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:ddff6bac9a9cee42436049af540806a549449900e3f96772e25b96c26ba7b341",
    "RepoTags": [
        "qwenllm/qwen:cu117",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen:cu117"
    ],
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