ghcr.io/binary-husky/gpt_academic_with_all_capacity:master linux/amd64

ghcr.io/binary-husky/gpt_academic_with_all_capacity:master - 国内下载镜像源 浏览次数:101

GPT Academic with All Capacity

这是一款基于 GPT-3 的学术语言模型容器镜像,具备所有能力,用于处理各种学术任务,如文本生成、摘要、翻译等。
源镜像 ghcr.io/binary-husky/gpt_academic_with_all_capacity:master
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/binary-husky/gpt_academic_with_all_capacity:master
镜像ID sha256:934b91034593d4f5b1a7e90b1d3a84c3f4cb1746dae6c20e87bd7214a614e394
镜像TAG master
大小 18.12GB
镜像源 ghcr.io
CMD python3 -u main.py
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /gpt/gpt_academic
OS/平台 linux/amd64
浏览量 101 次
贡献者
镜像创建 2024-08-05T11:43:51.53772482Z
同步时间 2024-08-10 23:03
更新时间 2024-10-23 17:43
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/texlive/2023/bin/x86_64-linux:/usr/local/texlive/2024/bin/x86_64-linux:/usr/local/texlive/2025/bin/x86_64-linux:/usr/local/texlive/2026/bin/x86_64-linux NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=11.3 brand=tesla,driver>=418,driver<419 driver>=450 NV_CUDA_CUDART_VERSION=11.3.109-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-3 CUDA_VERSION=11.3.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.3.1-1 NV_NVTX_VERSION=11.3.109-1 NV_LIBNPP_VERSION=11.3.3.95-1 NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-1 NV_LIBCUSPARSE_VERSION=11.6.0.109-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3 NV_LIBCUBLAS_VERSION=11.5.1.109-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.9.9-1 NCCL_VERSION=2.9.9-1 NV_LIBNCCL_PACKAGE=libnccl2=2.9.9-1+cuda11.3 NVIDIA_PRODUCT_NAME=CUDA
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2024-08-05T11:37:32.644Z: org.opencontainers.image.created 为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。: org.opencontainers.image.description GPL-3.0: org.opencontainers.image.licenses 6fe5f6ee6e42b9f5df212bab682d38bcf479c225: org.opencontainers.image.revision https://github.com/binary-husky/gpt_academic: org.opencontainers.image.source gpt_academic: org.opencontainers.image.title https://github.com/binary-husky/gpt_academic: org.opencontainers.image.url master: 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/ghcr.io/binary-husky/gpt_academic_with_all_capacity:master
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/binary-husky/gpt_academic_with_all_capacity:master  ghcr.io/binary-husky/gpt_academic_with_all_capacity:master

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/binary-husky/gpt_academic_with_all_capacity:master
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/binary-husky/gpt_academic_with_all_capacity:master  ghcr.io/binary-husky/gpt_academic_with_all_capacity:master

Shell快速替换命令

sed -i 's#ghcr.io/binary-husky/gpt_academic_with_all_capacity:master#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/binary-husky/gpt_academic_with_all_capacity:master#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2024-08-05 19:43:51 CMD ["python3" "-u" "main.py"]
1.90MB 2024-08-05 19:43:51 RUN /bin/sh -c python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()' # buildkit
304.38MB 2024-08-05 19:43:48 RUN /bin/sh -c python3 -m pip install nougat-ocr # buildkit
141.67KB 2024-08-05 19:43:39 RUN /bin/sh -c python3 -m pip install -r request_llms/requirements_newbing.txt # buildkit
0.00B 2024-08-05 19:43:37 RUN /bin/sh -c python3 -m pip install -r request_llms/requirements_chatglm.txt # buildkit
0.00B 2024-08-05 19:43:36 RUN /bin/sh -c python3 -m pip install -r request_llms/requirements_qwen.txt # buildkit
191.71MB 2024-08-05 19:43:35 RUN /bin/sh -c python3 -m pip install -r request_llms/requirements_moss.txt # buildkit
265.23MB 2024-08-05 19:43:30 RUN /bin/sh -c python3 -m pip install -r requirements.txt # buildkit
91.48MB 2024-08-05 19:42:24 RUN /bin/sh -c git clone --depth=1 https://github.com/OpenLMLab/MOSS.git request_llms/moss # buildkit
0.00B 2024-08-05 19:42:21 WORKDIR /gpt/gpt_academic
5.36MB 2024-08-05 19:42:21 RUN /bin/sh -c git clone --depth=1 https://github.com/binary-husky/gpt_academic.git # buildkit
0.00B 2024-08-05 19:42:20 WORKDIR /gpt
10.31MB 2024-08-05 19:42:20 RUN /bin/sh -c python3 -m pip install aliyun-python-sdk-core==2.13.3 pyOpenSSL webrtcvad scipy git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git # buildkit
25.69MB 2024-08-05 19:42:08 RUN /bin/sh -c python3 -m pip install rarfile py7zr # buildkit
1.82GB 2024-08-05 19:42:06 RUN /bin/sh -c python3 -m pip install zh_langchain==0.2.1 pypinyin # buildkit
171.85MB 2024-08-05 19:41:20 RUN /bin/sh -c python3 -m pip install python-docx moviepy pdfminer # buildkit
70.99MB 2024-08-05 19:40:58 RUN /bin/sh -c python3 -m pip install colorama Markdown pygments pymupdf # buildkit
119.14MB 2024-08-05 19:40:55 RUN /bin/sh -c python3 -m pip install openai numpy arxiv rich # buildkit
7.92GB 2024-08-05 19:40:49 RUN /bin/sh -c python3 -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu113 # buildkit
23.98MB 2024-08-05 19:39:28 RUN /bin/sh -c curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8 # buildkit
0.00B 2024-08-05 19:39:25 WORKDIR /gpt
448.19MB 2024-08-05 19:39:25 RUN /bin/sh -c apt update && apt install ffmpeg build-essential -y # buildkit
0.00B 2023-09-07 10:57:57 /bin/sh -c #(nop) ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/texlive/2023/bin/x86_64-linux:/usr/local/texlive/2024/bin/x86_64-linux:/usr/local/texlive/2025/bin/x86_64-linux:/usr/local/texlive/2026/bin/x86_64-linux
195.49MB 2023-09-07 10:57:57 /bin/sh -c apt-get install -y git python python3 python-dev python3-dev --fix-missing
195.40MB 2023-09-07 10:56:52 /bin/sh -c apt-get install -y curl proxychains curl gcc
47.72MB 2023-09-07 10:55:31 /bin/sh -c apt-get update
4.34GB 2023-09-07 10:53:18 /bin/sh -c #(nop) COPY dir:b20e39a090252a9f1b7b8dc626c86ce320875b616bbebd9c36b6a1009dd282a0 in /usr/local/texlive/
0.00B 2022-12-15 07:29:50 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2022-12-15 07:29:50 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2022-12-15 07:29:50 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.04KB 2022-12-15 07:29:50 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
256.85KB 2022-12-15 07:29:49 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
1.74GB 2022-12-15 07:29:49 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-3=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-3=${NV_NVTX_VERSION} libcusparse-11-3=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-12-15 07:29:49 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-12-15 07:29:49 ARG TARGETARCH
0.00B 2022-12-15 07:29:49 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.9.9-1+cuda11.3
0.00B 2022-12-15 07:29:49 ENV NCCL_VERSION=2.9.9-1
0.00B 2022-12-15 07:29:49 ENV NV_LIBNCCL_PACKAGE_VERSION=2.9.9-1
0.00B 2022-12-15 07:29:49 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2022-12-15 07:29:49 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-1
0.00B 2022-12-15 07:29:49 ENV NV_LIBCUBLAS_VERSION=11.5.1.109-1
0.00B 2022-12-15 07:29:49 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3
0.00B 2022-12-15 07:29:49 ENV NV_LIBCUSPARSE_VERSION=11.6.0.109-1
0.00B 2022-12-15 07:29:49 ENV NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-1
0.00B 2022-12-15 07:29:49 ENV NV_LIBNPP_VERSION=11.3.3.95-1
0.00B 2022-12-15 07:29:49 ENV NV_NVTX_VERSION=11.3.109-1
0.00B 2022-12-15 07:29:49 ENV NV_CUDA_LIB_VERSION=11.3.1-1
0.00B 2022-12-15 07:25:05 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2022-12-15 07:25:05 ENV NVIDIA_VISIBLE_DEVICES=all
16.05KB 2022-12-15 07:25:05 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2022-12-15 07:25:05 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2022-12-15 07:25:05 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2022-12-15 07:25:05 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
34.23MB 2022-12-15 07:25:05 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-3=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-12-15 07:24:56 ENV CUDA_VERSION=11.3.1
18.28MB 2022-12-15 07:24:56 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${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
0.00B 2022-12-15 07:24:56 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-12-15 07:24:56 ARG TARGETARCH
0.00B 2022-12-15 07:24:56 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-3
0.00B 2022-12-15 07:24:56 ENV NV_CUDA_CUDART_VERSION=11.3.109-1
0.00B 2022-12-15 07:24:56 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.3 brand=tesla,driver>=418,driver<419 driver>=450
0.00B 2022-12-15 07:24:56 ENV NVARCH=x86_64
0.00B 2022-12-09 09:20:21 /bin/sh -c #(nop) CMD ["bash"]
72.79MB 2022-12-09 09:20:21 /bin/sh -c #(nop) ADD file:9d282119af0c42bc823c95b4192a3350cf2cad670622017356dd2e637762e425 in /

镜像信息

{
    "Id": "sha256:934b91034593d4f5b1a7e90b1d3a84c3f4cb1746dae6c20e87bd7214a614e394",
    "RepoTags": [
        "ghcr.io/binary-husky/gpt_academic_with_all_capacity:master",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/binary-husky/gpt_academic_with_all_capacity:master"
    ],
    "RepoDigests": [
        "ghcr.io/binary-husky/gpt_academic_with_all_capacity@sha256:7fafbbb370645a664ca9aaa0efb9efd27b3da99900f0f6f9aa8b4dbba953b1ea",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/binary-husky/gpt_academic_with_all_capacity@sha256:7fafbbb370645a664ca9aaa0efb9efd27b3da99900f0f6f9aa8b4dbba953b1ea"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-08-05T11:43:51.53772482Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "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:/usr/local/texlive/2023/bin/x86_64-linux:/usr/local/texlive/2024/bin/x86_64-linux:/usr/local/texlive/2025/bin/x86_64-linux:/usr/local/texlive/2026/bin/x86_64-linux",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.3 brand=tesla,driver\u003e=418,driver\u003c419 driver\u003e=450",
            "NV_CUDA_CUDART_VERSION=11.3.109-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-3",
            "CUDA_VERSION=11.3.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.3.1-1",
            "NV_NVTX_VERSION=11.3.109-1",
            "NV_LIBNPP_VERSION=11.3.3.95-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-1",
            "NV_LIBCUSPARSE_VERSION=11.6.0.109-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3",
            "NV_LIBCUBLAS_VERSION=11.5.1.109-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.9.9-1",
            "NCCL_VERSION=2.9.9-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.9.9-1+cuda11.3",
            "NVIDIA_PRODUCT_NAME=CUDA"
        ],
        "Cmd": [
            "python3",
            "-u",
            "main.py"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/gpt/gpt_academic",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.created": "2024-08-05T11:37:32.644Z",
            "org.opencontainers.image.description": "为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮\u0026函数插件,支持Python和C++等项目剖析\u0026自译解功能,PDF/LaTex论文翻译\u0026总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。",
            "org.opencontainers.image.licenses": "GPL-3.0",
            "org.opencontainers.image.revision": "6fe5f6ee6e42b9f5df212bab682d38bcf479c225",
            "org.opencontainers.image.source": "https://github.com/binary-husky/gpt_academic",
            "org.opencontainers.image.title": "gpt_academic",
            "org.opencontainers.image.url": "https://github.com/binary-husky/gpt_academic",
            "org.opencontainers.image.version": "master"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 18117622315,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/237e7943e88de6bd4108122a4cab1a55e0893300e89c1dec4ce5469a202c2277/diff:/var/lib/docker/overlay2/50cdaf2028dec399c24065769441ec21db2c2493ee2472e3c642fbf0551ef0a6/diff:/var/lib/docker/overlay2/c5a5f7d3041851144233373e0de8906d962ae8e60616fadf4a129ec9a38358bc/diff:/var/lib/docker/overlay2/70d6f95b8d1263d165e616d10c8e1039b02c8e04c6636007ee157df56bf1e2d5/diff:/var/lib/docker/overlay2/66774dc7d8e049c043f1bd1e00b482accdbceb5d52f516214d3d64f0ea8b9b41/diff:/var/lib/docker/overlay2/8b8e6d71be20545e0bda409ae6f9c42a2b2516c306a92ec33393523d908d246a/diff:/var/lib/docker/overlay2/af256e498a5d0ab33a89c311bea9a47b49b4dba4c42932d741445e9ac41c6d85/diff:/var/lib/docker/overlay2/d72a631ac626a6a5846c3482f6991c333715244743c49c75025b4587d21b38e3/diff:/var/lib/docker/overlay2/97422478b511542b031c12a1a78ba15de737cbf8318495e4742827e42f99500e/diff:/var/lib/docker/overlay2/663055f045bc126d763ec1506113574a688f8b8aba9501a48731fd78a555c114/diff:/var/lib/docker/overlay2/f18035a38e72b074481276d3dd6d001444b3c2eee0e7012f413de22c96a079f7/diff:/var/lib/docker/overlay2/00e5350b98cff9ee25351863718025afad8521f096a9e3c44c14691264ba991d/diff:/var/lib/docker/overlay2/8a25437615d469ff978064ac44879dd8f59bcd1170184f32bb6e33b414ed5855/diff:/var/lib/docker/overlay2/c5e993ee1234514f83b9e077eb6660c165cf4ad26d9606a614ddb76383582371/diff:/var/lib/docker/overlay2/c47c0c847b52fbe40aff3825cc8b60ae06575f6b9ad9eea97b33bb527f5c3a74/diff:/var/lib/docker/overlay2/966389b9d6d9a9119f62dab95610d6685ba458727ac3690b29321489991d3601/diff:/var/lib/docker/overlay2/c1c5e58821755ea9debeed089faeb9f1d3977892abc35266d3355d0eeed24eda/diff:/var/lib/docker/overlay2/8a6e8849bc1d97fbcb97e786a560223f063693b252a17c882d82a7647ea70e56/diff:/var/lib/docker/overlay2/afb63e4cb40093b724f35e6df3f8aafabc4580b606c67c1742b2d3e8ce187914/diff:/var/lib/docker/overlay2/5b802e85ee0409258b05b73356fe0368dff14ae66e5d8047717b70a332ff215e/diff:/var/lib/docker/overlay2/85ad14368e4914467ce946df5087a35f3abfdc38f7105ef774f08a2c666ecdc2/diff:/var/lib/docker/overlay2/86b44bdbc580887a895c1a29152c61672e87e78f7b1f0f18b64c4df7f33e9aa9/diff:/var/lib/docker/overlay2/73c864daa3595a24a63da43b33a1528c08935e3efdbaf578061668e7d40a3edf/diff:/var/lib/docker/overlay2/7906ee3024a31912639afa0c78f4a41f2fc77f882b7dd01b1da29e91ae32f82b/diff:/var/lib/docker/overlay2/1c3f290122d12cd60b8c4e4dfd220d6498e5e8dd07529d9620f81f557f026136/diff:/var/lib/docker/overlay2/8cd6449ccc52cf821f35d6ba48f6b72f5cb30eee9d0e66a7d7da59f989d6bf7a/diff:/var/lib/docker/overlay2/962f739c3cf93b574b62e097a9a6fcad21ddcd29bea3bab8dacca51b331ce4e1/diff:/var/lib/docker/overlay2/c81668f291269af0c4b16492f8e5c15951cae6c93803d8d5f4d5097ba38e1c84/diff:/var/lib/docker/overlay2/c2ece8a0c6e8d5eba2e701b9d5b54d45a848868ebc700d97efc0b84a0cbbbc73/diff:/var/lib/docker/overlay2/6de48232fee68fabfc1028e08df3a5fe36b85eb6a622ab8e69606422597a5e03/diff:/var/lib/docker/overlay2/cd0b3dbc51d13b4bdc34b8b6cb3a9063675ea7c9d3c76d0eae3b484f89c572b3/diff:/var/lib/docker/overlay2/86ec5fc2a9921c11803574a2b146545433e6db5ff74bc1c2907e131877bb5902/diff:/var/lib/docker/overlay2/68e67c07cf980f39a7e7063710523095487889f831ce9cef4527a0e7778b6ad2/diff",
            "MergedDir": "/var/lib/docker/overlay2/8403004323c542dd00358faf4411b22b957ada376de01359d4c8a0866216d924/merged",
            "UpperDir": "/var/lib/docker/overlay2/8403004323c542dd00358faf4411b22b957ada376de01359d4c8a0866216d924/diff",
            "WorkDir": "/var/lib/docker/overlay2/8403004323c542dd00358faf4411b22b957ada376de01359d4c8a0866216d924/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:0002c93bdb3704dd9e36ce5153ef637f84de253015f3ee330468dccdeacad60b",
            "sha256:7b7c9e761223523ae31fffbeb1adb4e86999ab378dbbf791cf71b3501c984226",
            "sha256:d79c672e1e8b243c2c0552604faff374fb461b57924ece89897b22c5d37bf941",
            "sha256:959a7375cb04562fc81d500a1acba1a1ca5a2d5a86d28e97cee2a265a6e83d3c",
            "sha256:e1eace4c0976472ad8f411dd5aa77e77973deb31e4ac74fd90613a7dd0cf2fd4",
            "sha256:f3717d7fdfb710d8af41ffc1309c779e6e73696272c894b4938d987422e0ac79",
            "sha256:3297f5de02bea8cb42b8e81835cc101dab965479e3df9f45257e40c51b25f22c",
            "sha256:3a217af3edf976d73d38d55f102587f76c6216eaa9bec4173db265f935310f98",
            "sha256:ad8fec0b36f1c4b27ace2250b0dd4838e01b6dfd6d52b2e4f17de1bf1838fb93",
            "sha256:1525dceb4891192774d20642e958b432c06c094a2102199015be66aceb2dcd45",
            "sha256:cc2aab08d2d1887700ca4f3d94bb5374684385894e2e04ee584b8e464aaa188e",
            "sha256:0b3fc21398dbae27632e2b4a6a0e9bbd3d7cc646051a0ca937908d0f3dd0d8cf",
            "sha256:31370e7200465962f78afdfa03348ea20f8247fca4db4c30290e6599ab2958f9",
            "sha256:8314f5ac2943c5046f5b3c0e30526650c8517dd1e69a305c9678fb97b80b8e3f",
            "sha256:05c058f0dc115d005e9cf4757d626f21838fef11cc49ab19136b85fb9ff76b7a",
            "sha256:a2da17944a54ac2f8bbd9ad1e5ff7455205ac0081b6d0843120608c9c76aa86c",
            "sha256:069728ecde00879e48265ae3ae3433964dd1f7930ec4819ad062aee2b5588773",
            "sha256:aa4ab17e02b9e46e6edb90ffb24ee9ec0bf0d05cf841ed58546cf7e2f6e21b0b",
            "sha256:1d64c53787c81ffdea8425a77fc96aaf777e4416ea5e7313a849c056cdac40ef",
            "sha256:fb95c9b209ac0311122db09aed81e488f6982a5c025a71da9c2c4cea75a78a5c",
            "sha256:baffa5432d9d1e023ea2f8bcd6c8b2cbbb0d85a14f50465cae2894ba9336c394",
            "sha256:4d7ec0e4b22e5d2942c0e0a9aa621a9f6b7ea1eb2c1ab65b50d4e0bc35061516",
            "sha256:976e17253d2990c772d73bc6ed3716d15de6163b47d017b6d0a180e04095ec85",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:0847c19cfc60fa8efad6e8321439faf0c25fae0968abce251ffd3c737117ebb9",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:038fc16328fb499cf3049a028594e1a275087d56965621e47385c5627d445d8f",
            "sha256:7e49265abb0e494a78ddb2f429c3662f663b39618ebf57218bd6218062a49d03",
            "sha256:d0ad38b5552715e57805d2fda12d86539e8f1831b3dfb655ed002f8e28782a92",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:cdeac2647a95b31db6aab419c82d392b371904f9c0302b0c1abded5e6b5137df",
            "sha256:eb410470f8e81d011cbe0dd6636a4e93ca7f9e1f4b580635a8f929dacd0f486a",
            "sha256:2180575f1de2616273257da6f3dd0419c06c68fd0bce8d42f5ca903d544137ef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-08-10T22:09:38.101418302+08:00"
    }
}

更多版本