镜像构建历史
# 2026-06-06 07:56:48 0.00B 设置默认要执行的命令
CMD ["python3" "start_ai_engine.py"]
# 2026-06-06 07:56:48 0.00B 声明容器运行时监听的端口
EXPOSE map[8001/tcp:{}]
# 2026-06-06 07:56:48 0.00B 执行命令并创建新的镜像层
RUN |1 FACE_BACKEND=openvino /bin/sh -c if [ "${FACE_BACKEND}" = "cuda" ]; then pip install --no-build-isolation --break-system-packages -e "/app/miloco_ai_engine[face]" && pip uninstall -y onnxruntime onnxruntime-gpu onnxruntime-openvino 2>/dev/null || true && pip install --no-cache-dir --break-system-packages "onnxruntime-gpu>=1.16.0" && echo "Downloading InsightFace buffalo_l model (CUDA backend)..." && mkdir -p /root/.insightface/models/buffalo_l && python3 -c "import onnxruntime; print('face deps ok (CUDA), providers=', onnxruntime.get_available_providers())" && python3 -c "import insightface; app = insightface.app.FaceAnalysis(name='buffalo_l', root='/root/.insightface/models'); app.prepare(ctx_id=0)" else pip install --no-build-isolation --break-system-packages -e "/app/miloco_ai_engine[face]" && pip uninstall -y onnxruntime onnxruntime-gpu 2>/dev/null || true && pip install --no-cache-dir --break-system-packages "onnxruntime-openvino>=1.19.0" && pip install --no-cache-dir --break-system-packages "openvino>=2025.0.0" && echo "Downloading InsightFace buffalo_l model (OpenVINO backend)..." && mkdir -p /root/.insightface/models/buffalo_l && python3 -c "import insightface; app = insightface.app.FaceAnalysis(name='buffalo_l', root='/root/.insightface/models'); app.prepare(ctx_id=0)" && python3 -c "import insightface; import onnxruntime; from openvino import Core; print('face deps ok (OpenVINO), ov devices=', Core().available_devices)"; fi # buildkit
# 2026-06-06 07:56:47 0.00B 定义构建参数
ARG FACE_BACKEND=openvino
# 2026-06-06 07:56:47 1.91KB 复制新文件或目录到容器中
COPY scripts/start_ai_engine.py /app/start_ai_engine.py # buildkit
# 2026-06-06 07:56:47 293.17KB 复制新文件或目录到容器中
COPY miloco_ai_engine /app/miloco_ai_engine # buildkit
# 2026-06-06 07:56:47 21.74KB 复制新文件或目录到容器中
COPY config/prompt_config.yaml /app/config/prompt_config.yaml # buildkit
# 2026-06-06 07:56:47 3.25KB 复制新文件或目录到容器中
COPY config/ai_engine_config.yaml /app/config/ai_engine_config.yaml # buildkit
# 2026-06-06 07:56:47 0.00B 设置环境变量 FACE_INFERENCE_PROVIDER
ENV FACE_INFERENCE_PROVIDER=cpu
# 2026-06-06 07:56:47 0.00B 设置环境变量 LLAMA_MICO_LIB_MODE
ENV LLAMA_MICO_LIB_MODE=auto
# 2026-06-06 07:56:47 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/app/output/lib/gpu:/app/output/lib/cpu
# 2026-06-06 07:56:47 98.50MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; mkdir -p /app/output/lib/cpu /app/output/lib/gpu; cp -a /app/output_cpu/lib/. /app/output/lib/cpu/; cp -a /app/output_gpu/lib/. /app/output/lib/gpu/; cp -a /app/output/lib/gpu/libllama-mico.so /app/output/lib/libllama-mico.so; cp -a /app/output/lib/cpu/libllama-mico.so /app/output/lib/libllama-mico-cpu.so # buildkit
# 2026-06-06 07:56:46 84.11MB 复制新文件或目录到容器中
COPY /app/output_gpu /app/output_gpu # buildkit
# 2026-06-06 07:56:44 9.30MB 复制新文件或目录到容器中
COPY /app/output_cpu /app/output_cpu # buildkit
# 2026-06-06 07:50:36 0.00B 设置工作目录为/app
WORKDIR /app
# 2026-06-06 07:50:36 1.07GB 执行命令并创建新的镜像层
RUN |3 APT_MIRRORS_URL=http://archive.ubuntu.com/ubuntu/ APT_FALLBACK_MIRRORS=http://mirrors.aliyun.com/ubuntu/ https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ https://mirrors.ustc.edu.cn/ubuntu/ http://archive.ubuntu.com/ubuntu/ PIP_INDEX_URL=https://pypi.org/simple/ /bin/sh -c set -eux && if [ -f /etc/apt/sources.list.d/ubuntu.sources ]; then sed -Ei 's/^Components: .*/Components: main universe restricted multiverse/' /etc/apt/sources.list.d/ubuntu.sources; fi && cp /etc/apt/sources.list.d/ubuntu.sources /tmp/ubuntu.sources.template && mirrors="${APT_MIRRORS_URL%/}/ ${APT_FALLBACK_MIRRORS}" && printf '%s\n' 'Acquire::Retries "6";' 'Acquire::http::Timeout "30";' 'Acquire::https::Timeout "30";' 'Acquire::ForceIPv4 "true";' > /etc/apt/apt.conf.d/99-miloco-retries && update_ok=0 && for m in $mirrors; do cp /tmp/ubuntu.sources.template /etc/apt/sources.list.d/ubuntu.sources; sed -i "s|http://archive.ubuntu.com/ubuntu/|${m}|g" /etc/apt/sources.list.d/ubuntu.sources; sed -i "s|http://security.ubuntu.com/ubuntu/|${m}|g" /etc/apt/sources.list.d/ubuntu.sources; if apt-get update; then if apt-cache policy python3 2>/dev/null | grep -q 'Candidate: '; then if ! apt-cache policy python3 2>/dev/null | grep -q 'Candidate: (none)'; then echo "Using apt mirror: ${m}"; update_ok=1; break; fi; fi; echo "Mirror ${m} updated index but required packages are unavailable, trying next mirror"; fi; apt-get clean; rm -rf /var/lib/apt/lists/*; done && test "$update_ok" = "1" && (apt-get install -y --no-install-recommends curl python3 python3-pip python3-dev build-essential clinfo ocl-icd-libopencl1 intel-opencl-icd libgl1 libglib2.0-0 libxcb1 libxcb-render0 libxcb-shape0 libxcb-xfixes0 libsm6 libxext6 libxrender1 || (apt-get clean && rm -rf /var/lib/apt/lists/* && apt-get update && apt-get install -y --no-install-recommends curl python3 python3-pip python3-dev build-essential clinfo ocl-icd-libopencl1 intel-opencl-icd libgl1 libglib2.0-0 libxcb1 libxcb-render0 libxcb-shape0 libxcb-xfixes0 libsm6 libxext6 libxrender1)) && pip config set global.index-url "${PIP_INDEX_URL}" && pip config set global.timeout 120 && pip install --upgrade --break-system-packages setuptools packaging && pip install --no-build-isolation --break-system-packages "numpy>=1.24.0" Cython && pip install --no-build-isolation --break-system-packages /app/miloco_ai_engine && rm -rf /app/miloco_ai_engine && apt clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-06-06 07:47:32 1.49KB 复制新文件或目录到容器中
COPY miloco_ai_engine/pyproject.toml /app/miloco_ai_engine/pyproject.toml # buildkit
# 2026-06-06 07:47:23 0.00B 设置工作目录为/app
WORKDIR /app
# 2026-06-06 07:47:07 47.00B 执行命令并创建新的镜像层
RUN |3 APT_MIRRORS_URL=http://archive.ubuntu.com/ubuntu/ APT_FALLBACK_MIRRORS=http://mirrors.aliyun.com/ubuntu/ https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ https://mirrors.ustc.edu.cn/ubuntu/ http://archive.ubuntu.com/ubuntu/ PIP_INDEX_URL=https://pypi.org/simple/ /bin/sh -c ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone # buildkit
# 2026-06-06 07:47:07 0.00B 设置环境变量 TZ
ENV TZ=Asia/Shanghai
# 2026-06-06 07:47:07 0.00B 定义构建参数
ARG PIP_INDEX_URL
# 2026-06-06 07:47:07 0.00B 定义构建参数
ARG APT_FALLBACK_MIRRORS
# 2026-06-06 07:47:07 0.00B 定义构建参数
ARG APT_MIRRORS_URL
# 2024-07-11 06:55:37 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2024-07-11 06:55:37 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2024-07-11 06:55:37 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2024-07-11 06:55:37 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2024-07-11 06:55:37 237.38KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} # buildkit
# 2024-07-11 06:55:37 1.81GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-5=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-5=${NV_NVTX_VERSION} libcusparse-12-5=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-07-11 06:55:37 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-07-11 06:55:37 0.00B 定义构建参数
ARG TARGETARCH
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-5=12.5.3.2-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.5.3.2-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-5
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.1.3-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-5=12.3.0.159-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.0.159-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.5.82-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.5.1-1
# 2024-07-11 06:46:23 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2024-07-11 06:46:23 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2024-07-11 06:46:23 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2024-07-11 06:46:23 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2024-07-11 06:46:23 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2024-07-11 06:46:23 46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2024-07-11 06:46:23 151.57MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-5=${NV_CUDA_CUDART_VERSION} cuda-compat-12-5 && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-07-11 06:46:14 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.5.1
# 2024-07-11 06:46:14 10.21MB 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/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-07-11 06:46:14 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-07-11 06:46:14 0.00B 定义构建参数
ARG TARGETARCH
# 2024-07-11 06:46:14 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.5.82-1
# 2024-07-11 06:46:14 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>=12.5 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
# 2024-07-11 06:46:14 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2024-06-07 20:00:09 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2024-06-07 20:00:08 78.05MB
/bin/sh -c #(nop) ADD file:5601f441718b0d192d73394b35fd07675342837ec9089ddd52dd1dc0de79630e in /
# 2024-06-07 20:00:06 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=24.04
# 2024-06-07 20:00:06 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2024-06-07 20:00:06 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2024-06-07 20:00:06 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:fa41b33857eb54e5dca89b7948a990de662a9ea7efcb670402dce5b2e4451336",
"RepoTags": [
"ghcr.io/xiaochao99/miloco-ai_engine:v0.3.2",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/xiaochao99/miloco-ai_engine:v0.3.2"
],
"RepoDigests": [
"ghcr.io/xiaochao99/miloco-ai_engine@sha256:f79fc6e199ff8ab46cd3726850ec28553c0ba8635b1a93a6ed17c17e8a7ee7e8",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/xiaochao99/miloco-ai_engine@sha256:0de4b5dc1d1cc058e69379a65cd53c7b31b7e09b83db982d31b119ae752d64c2"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-06-05T23:56:48.140090138Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"8001/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/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\u003e=12.5 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551",
"NV_CUDA_CUDART_VERSION=12.5.82-1",
"CUDA_VERSION=12.5.1",
"LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/app/output/lib/gpu:/app/output/lib/cpu",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.5.1-1",
"NV_NVTX_VERSION=12.5.82-1",
"NV_LIBNPP_VERSION=12.3.0.159-1",
"NV_LIBNPP_PACKAGE=libnpp-12-5=12.3.0.159-1",
"NV_LIBCUSPARSE_VERSION=12.5.1.3-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-5",
"NV_LIBCUBLAS_VERSION=12.5.3.2-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-5=12.5.3.2-1",
"NVIDIA_PRODUCT_NAME=CUDA",
"TZ=Asia/Shanghai",
"LLAMA_MICO_LIB_MODE=auto",
"FACE_INFERENCE_PROVIDER=cpu"
],
"Cmd": [
"python3",
"start_ai_engine.py"
],
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/app",
"Entrypoint": [
"/opt/nvidia/nvidia_entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "24.04"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 3308443141,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/74c3bdf351922e4b4c3be00a2c765fc685a2015d4e023cfa11b5683cc8a19fb1/diff:/var/lib/docker/overlay2/6d047d8e1f4dd6c7bfce87003af03094aca4b5b5e964e06cfb5b72f3bcdaaeef/diff:/var/lib/docker/overlay2/ce330e0da5ae4a50d635ffdbd1377b9d312f0f41c94ff56726382e62e2cfd94e/diff:/var/lib/docker/overlay2/367ea950515abf56dc806d2941f1dcf4442c1364b608b6f7f039387b254f9064/diff:/var/lib/docker/overlay2/940470f8cfc7179046eeb990bf3eaa11c100128716b569d3440a36284df67cf7/diff:/var/lib/docker/overlay2/9a17a0bcb66ac8ee8fdd92fbec54706f24c66f7535c84176e7564f20f23aed53/diff:/var/lib/docker/overlay2/127b60daf1948f309ca5853b81e4b97b410e4b3ae828ba83654e4c6a1b035eb3/diff:/var/lib/docker/overlay2/88d3ef6fb22208ed46996bb1736f067cd564a74802a5f866ca8d6005f86ffddc/diff:/var/lib/docker/overlay2/64b438c2c58f01bac1cc17ada84d42fe1d9228ba7a7edf49d13c6229db4e244e/diff:/var/lib/docker/overlay2/58d24e12a1a6e28bceb50e058c1cfec84b1dc822f83b21a7febad8a9eee3b9fa/diff:/var/lib/docker/overlay2/3cee7c743a4821f46d8451d1446a732587a93244e9f0e9e86856879207e27249/diff:/var/lib/docker/overlay2/98d8a54d2807b6b67e5a0d031ef51906972a0e320f33bfe5a81d9eabf0bb6e3d/diff:/var/lib/docker/overlay2/43d7648b42d360a3c256580f9cd10c7718dc31d461b5c3c43be75ec342cb3f26/diff:/var/lib/docker/overlay2/d3a843a27af300b57ead05928a080befc88f230b4e9756a73f0c82f57d55326c/diff:/var/lib/docker/overlay2/01950d9719c4a869e9b0516136156d2b4e879f6792b2a6dd001bde75454bf1e8/diff:/var/lib/docker/overlay2/2f38b6cb0eff102cdd016443eb7cd359d324de74b1a97acc10cb2242c8b134aa/diff:/var/lib/docker/overlay2/5b3f5dc57b0974423f31ece8a1a74221da35f93699b7c0dd94c5c60ef9665c47/diff:/var/lib/docker/overlay2/2675fdb1e39edd7ddde6edd09cea9c992fe69528006746841a933ddd53b0e8cd/diff:/var/lib/docker/overlay2/2fcd2d968997b016d819eae63e9878d4bbfca011a96bf183926a2fba07be57ec/diff:/var/lib/docker/overlay2/af33ea638c303e5362fe37d191e758f5ecfa139d062772073ee6ac24359c89f4/diff:/var/lib/docker/overlay2/4a032059fbb6f5c6aef2b1284647c1b07cb7f499606b2002c113c98f151e808e/diff",
"MergedDir": "/var/lib/docker/overlay2/2edc8fa67f8569a7f3421b6f1c1cf1a57d7832b3d6db9cc4e7ff3e67dfcd3882/merged",
"UpperDir": "/var/lib/docker/overlay2/2edc8fa67f8569a7f3421b6f1c1cf1a57d7832b3d6db9cc4e7ff3e67dfcd3882/diff",
"WorkDir": "/var/lib/docker/overlay2/2edc8fa67f8569a7f3421b6f1c1cf1a57d7832b3d6db9cc4e7ff3e67dfcd3882/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:a30a5965a4f7d9d5ff76a46eb8939f58e95be844de1ac4a4b452d5d31158fdea",
"sha256:77b9997126c3d6c63ffd69e66e4ddb5dac232097c3c8837a6e4a3182814072c1",
"sha256:cc224d1c75859547cc1df218c926fb19d0ace252b11879419c889db21c80851c",
"sha256:d6dc1a57a4846344056a92d2d2c9da4f2d2b5b2f7240a3b1c64c090690383853",
"sha256:563e7c97ed4d3ed6e70bb03b82738fe7131ca91147b502659423b46f3fa7dfab",
"sha256:fd76bf770f9d0ba8398223061247a166d1a91d81794e72bd56c82c6a383e8ab4",
"sha256:c03e2a4aad95fb378485192557abfec3cd1c924dd8b07bc578247332d93d3625",
"sha256:54437f18cf8e86498332c93ec7454e83a1ae6b79b82538aa4407ccbcc53d659b",
"sha256:8d8e0abd03d81bc69ebeba273a059f52f0a70e5156d689214b69b483c6226d5a",
"sha256:233b913d1b6fce3b828dfbd56e0f822af070a2dfe2f60f87352197a01b6ae85e",
"sha256:0b8a6dd671a72f272821b204c1f6a53a46fc799d67b0b36cc16e47751e3a0bde",
"sha256:0e680a4a278c70f0e92da32e072fb866c61cf5047ae14f0db3f93fd2814bcef8",
"sha256:c6761c682461da8ab85ed4d7dfc5df067e506d2c249ecb1216cfe8346ec3b49c",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:d68be713663821529cab49a04faa87ab1bc256040a2a1812c05345cec0d62253",
"sha256:2c5ef9172f7dcc0f63452a68b233a0668f7756ce3b4b9aeff75bf36607e722eb",
"sha256:aadaa9829b6c9fa2aa193bda95b4fabab8b374d84b7838784f0fda1aba368788",
"sha256:929db5bb4efc534eb26909a9ebdceebf9ba410764eeba583d513dd835eac9d4a",
"sha256:34fad7a0838b6ba9085d767aa1314e6e6744ff3421301de777ec1067f69f6f39",
"sha256:45e4c0b7e5c05f542e3a62a97b770f3b56189986f86b5a6662096b5f573aa10e",
"sha256:779c5875d2aa4aa9a39bc0439b19a71bce83d4d9e60c723528378f43a899cf58",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
]
},
"Metadata": {
"LastTagTime": "2026-06-06T08:06:14.929396666+08:00"
}
}