docker.io/nikghosh09/transformers:sing_v1 linux/amd64

docker.io/nikghosh09/transformers:sing_v1 - 国内下载镜像源 浏览次数:43
这是docker容器镜像的描述信息：

Transformers

A JAX-based implementation of various transformer models, including BERT, RoBERTa and other variants.

This is a collection of transformer models that can be used as a starting point for your own research or development projects. The models are implemented using the JAX library, which provides a high-performance and flexible framework for building machine learning models.

The transformers in this repository include:

  • BERT (Bidirectional Encoder Representations from Transformers)
  • RoBERTa (Robustly Optimized BERT Pretraining Approach)
  • DistilBERT (Distilled version of BERT)
  • XLNet (Extreme Language Modeling for Text Generation)

This repository provides a convenient way to access and use these transformer models in your own projects, with pre-trained weights available for download. You can also use this as a starting point to experiment with different architectures or modifications.

源镜像 docker.io/nikghosh09/transformers:sing_v1
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nikghosh09/transformers:sing_v1
镜像ID sha256:255fc450efbcd5f23bcac03ed060be2e21fe62951d268fb0e5f6cf4d06b1e649
镜像TAG sing_v1
大小 19.31GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /home/aiscuser
OS/平台 linux/amd64
浏览量 43 次
贡献者
镜像创建 2023-08-21T17:56:15.597681526Z
同步时间 2024-10-18 00:53
更新时间 2024-10-23 12:08
环境变量
PATH=/usr/local/mpi/bin:/usr/local/ucx/bin:/opt/conda/envs/ptca/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>=11.7 brand=tesla,driver>=450,driver<451 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 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 NV_CUDA_CUDART_VERSION=11.7.60-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7 CUDA_VERSION=11.7.0 LD_LIBRARY_PATH=/opt/hpcx/nccl_rdma_sharp_plugin/lib:/opt/nccl-rdma-sharp-plugins/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.7.0-1 NV_NVTX_VERSION=11.7.50-1 NV_LIBNPP_VERSION=11.7.3.21-1 NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.3.21-1 NV_LIBCUSPARSE_VERSION=11.7.3.50-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7 NV_LIBCUBLAS_VERSION=11.10.1.25-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.1.25-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1 NCCL_VERSION=2.13.4-1 NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7 NVIDIA_PRODUCT_NAME=CUDA NVIDIA_CUDA_END_OF_LIFE=1 NV_CUDA_CUDART_DEV_VERSION=11.7.60-1 NV_NVML_DEV_VERSION=11.7.50-1 NV_LIBCUSPARSE_DEV_VERSION=11.7.3.50-1 NV_LIBNPP_DEV_VERSION=11.7.3.21-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.3.21-1 NV_LIBCUBLAS_DEV_VERSION=11.10.1.25-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.1.25-1 NV_NVPROF_VERSION=11.7.50-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.50-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.5.0.96 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.5.0.96-1+cuda11.7 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.5.0.96-1+cuda11.7 GPU_TYPE=cu117 PYTHON_VERSION=3.8 PYTORCH_BUILD_VERSION=1.13.0 DISTRIBUTED_BACKEND=sccl INTERNAL_OR_PUBLIC=internal PYTORCH_TYPE=stable DSVM=False LANG=en_US.UTF-8 CONDA_ENVIRONMENT_PATH=/opt/conda/envs/ptca AZUREML_CONDA_ENVIRONMENT_PATH=/opt/conda/envs/ptca CONDA_DEFAULT_ENV=ptca CONDA_PREFIX=/opt/conda/envs/ptca OPAL_PREFIX=/opt/hpcx/ompi SINGULARITY_IMAGE_FRAMEWORK=PYTORCH SINGULARITY_IMAGE_ACCELERATOR=NVIDIA SINGULARITY_IMAGE_ACCELERATOR_SKU=A100 NCCL_ASYNC_ERROR_HANDLING=1 TZ=US/Pacific SINGULARITY_BASE_IMAGE=base/job/pytorch/ptca-1.13.0-cuda11.7:20230414T112529310
镜像标签
biweekly.202304.1: acptTag 2023-04-03T08:05:02Z: buildDate 8.5.0.96: com.nvidia.cudnn.version 592d91bdbe3ba56c8dc90936386028458831a59e: commitSHA Singularity Engineering Team <singularity@microsoft.com>: maintainer Azure Container for Pytorch: name 2023-04-04T03:41:49Z: releaseDate

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/nikghosh09/transformers:sing_v1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nikghosh09/transformers:sing_v1  docker.io/nikghosh09/transformers:sing_v1

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nikghosh09/transformers:sing_v1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nikghosh09/transformers:sing_v1  docker.io/nikghosh09/transformers:sing_v1

Shell快速替换命令 

sed -i 's#nikghosh09/transformers:sing_v1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nikghosh09/transformers:sing_v1#' deployment.yaml

镜像历史

大小 创建时间 层信息
2.80KB 2023-08-22 01:56:15 RUN /bin/bash --login -c /opt/microsoft/_singularity/validations/validator.sh # buildkit
0.00B 2023-08-22 01:56:15 ENV SINGULARITY_IMAGE_ACCELERATOR=NVIDIA
107.64KB 2023-08-22 01:56:12 COPY /validations /opt/microsoft/_singularity/validations/ # buildkit
466.41MB 2023-08-22 01:56:11 RUN /bin/bash --login -c pip install --no-cache-dir -r requirements.txt # buildkit
11.52MB 2023-08-22 01:55:19 RUN /bin/bash --login -c pip install --no-cache-dir --upgrade pip # buildkit
231.00B 2023-08-22 01:55:15 COPY requirements.txt . # buildkit
67.93MB 2023-08-22 01:55:15 RUN /bin/bash --login -c apt-get update && apt-get install --no-install-recommends --no-install-suggests -yq git vim && rm -rf /var/lib/apt/lists/* && apt-get purge --auto-remove && apt-get clean # buildkit
0.00B 2023-05-10 10:15:12 ENV SINGULARITY_BASE_IMAGE=base/job/pytorch/ptca-1.13.0-cuda11.7:20230414T112529310
0.00B 2023-05-10 10:15:12 LABEL maintainer=Singularity Engineering Team <singularity@microsoft.com>
0.00B 2023-05-10 10:15:12 WORKDIR /home/aiscuser
0.00B 2023-05-10 10:15:12 USER root
0.00B 2023-05-10 10:15:12 ENV SINGULARITY_IMAGE_ACCELERATOR_SKU=A100
0.00B 2023-05-10 10:15:12 ENV SINGULARITY_IMAGE_ACCELERATOR=NVIDIA
0.00B 2023-05-10 10:15:12 ENV SINGULARITY_IMAGE_FRAMEWORK=PYTORCH
197.56KB 2023-05-10 10:14:33 RUN /bin/bash --login -c CC=mpicc MPICC=mpicc pip install mpi4py --no-binary mpi4py # buildkit
41.00B 2023-05-10 10:14:28 RUN /bin/bash --login -c ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone # buildkit
0.00B 2023-05-10 10:14:28 ENV TZ=US/Pacific
0.00B 2023-05-10 10:14:28 ENV NCCL_ASYNC_ERROR_HANDLING=1
0.00B 2023-05-10 10:14:28 ENV LD_LIBRARY_PATH=/opt/hpcx/nccl_rdma_sharp_plugin/lib:/opt/nccl-rdma-sharp-plugins/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-04-04 11:42:00 /bin/bash --login -c #(nop) LABEL releaseDate=2023-04-04T03:41:49Z
0.00B 2023-04-04 11:41:55 /bin/bash --login -c #(nop) LABEL acptTag=biweekly.202304.1
76.82KB 2023-04-03 17:18:35 |2 BUILD_COMMIT_SHA=592d91bdbe3ba56c8dc90936386028458831a59e BUILD_DATE=2023-04-03T08:05:02Z /bin/bash --login -c echo "PTCA build finished."
0.00B 2023-04-03 17:18:23 /bin/bash --login -c #(nop) LABEL name=Azure Container for Pytorch maintainer=Microsoft ACPT team buildDate=2023-04-03T08:05:02Z commitSHA=592d91bdbe3ba56c8dc90936386028458831a59e
13.47KB 2023-04-03 17:18:17 /bin/bash --login -c #(nop) COPY file:36bc6bd760ec7aaac0060afe157e1605403554b563a002d6a2618bfa09fb5b5c in /getting_started.md
597.41KB 2023-04-03 17:18:12 /bin/bash --login -c #(nop) COPY file:fa28425ba2408bcf007a93b6c96327bf8b9e0bbf4df22d513c7b388eda3df9d6 in /NOTICE.txt
78.29KB 2023-04-03 17:18:07 |2 BUILD_COMMIT_SHA=592d91bdbe3ba56c8dc90936386028458831a59e BUILD_DATE=2023-04-03T08:05:02Z /bin/bash --login -c wget https://raw.githubusercontent.com/microsoft/containerregistry/main/legal/Container-Images-Legal-Notice.md -P /
77.98KB 2023-04-03 17:17:55 |2 BUILD_COMMIT_SHA=592d91bdbe3ba56c8dc90936386028458831a59e BUILD_DATE=2023-04-03T08:05:02Z /bin/bash --login -c wget https://raw.githubusercontent.com/microsoft/onnxruntime/master/dockerfiles/LICENSE-IMAGE.txt -P /
376.84KB 2023-04-03 17:17:42 |2 BUILD_COMMIT_SHA=592d91bdbe3ba56c8dc90936386028458831a59e BUILD_DATE=2023-04-03T08:05:02Z /bin/bash --login -c wget https://raw.githubusercontent.com/microsoft/onnxruntime/master/ThirdPartyNotices.txt -P /
1.19KB 2023-04-03 17:17:29 /bin/bash --login -c #(nop) COPY file:89a5e72c44a0a2e2530811b95265c47c371ed04140ba8e2504cd65e515479332 in /nccl_bandwidth_test.sh
0.00B 2023-04-03 17:17:24 /bin/bash --login -c #(nop) ENV LD_LIBRARY_PATH=/opt/nccl-rdma-sharp-plugins/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
7.23MB 2023-04-03 17:17:19 |2 BUILD_COMMIT_SHA=592d91bdbe3ba56c8dc90936386028458831a59e BUILD_DATE=2023-04-03T08:05:02Z /bin/bash --login -c bash get_package_versions.sh && rm /get_package_versions.sh
198.00B 2023-04-03 17:17:04 /bin/bash --login -c #(nop) COPY file:e4f2e038f00586aee06a9fa9253a57693cc879cffed4caaf986b3227499b08b6 in /get_package_versions.sh
76.82KB 2023-04-03 17:16:59 |2 BUILD_COMMIT_SHA=592d91bdbe3ba56c8dc90936386028458831a59e BUILD_DATE=2023-04-03T08:05:02Z /bin/bash --login -c bash clean_up_ptca.sh && rm /clean_up_ptca.sh
457.00B 2023-04-03 17:16:33 /bin/bash --login -c #(nop) COPY file:6db288eecc9fddb982df0bbed2e2cadd7e7507a1812abcd248a97668d00d3303 in /clean_up_ptca.sh
76.82KB 2023-04-03 17:16:26 |2 BUILD_COMMIT_SHA=592d91bdbe3ba56c8dc90936386028458831a59e BUILD_DATE=2023-04-03T08:05:02Z /bin/bash --login -c bash call_patch_files.sh && rm -r /patches && rm /call_patch_files.sh
261.00B 2023-04-03 17:16:13 /bin/bash --login -c #(nop) COPY file:eac3d38ac4124491d33082583e16e4ff1ecb1cac27ccd05a4b7c28c9d933431e in /call_patch_files.sh
0.00B 2023-04-03 17:16:06 /bin/bash --login -c #(nop) COPY dir:30c16d6156e04534063183ea624e44b999fd75ef95de52018dcc70adc98b9406 in /patches
6.48GB 2023-04-03 17:15:58 /bin/bash --login -c #(nop) COPY dir:82eefb3036e1bb9986cbf0117cd200dedf5286b714b4e9837e3d7f29cf43c079 in /opt/conda/envs/
76.82KB 2023-04-03 17:13:32 |2 BUILD_COMMIT_SHA=592d91bdbe3ba56c8dc90936386028458831a59e BUILD_DATE=2023-04-03T08:05:02Z /bin/bash --login -c rm -rf /opt/conda/envs/
0.00B 2023-04-03 17:13:19 /bin/bash --login -c #(nop) ARG BUILD_COMMIT_SHA
0.00B 2023-04-03 17:13:14 /bin/bash --login -c #(nop) ARG BUILD_DATE
76.82KB 2023-04-03 16:28:23 /bin/bash --login -c echo "Verified Singularity installation."
79.62KB 2023-04-03 16:28:11 /bin/bash --login -c /opt/microsoft/_singularity/validations/validator.sh
0.00B 2023-04-03 16:27:45 /bin/bash --login -c #(nop) ENV SINGULARITY_IMAGE_ACCELERATOR_SKU=
0.00B 2023-04-03 16:27:40 /bin/bash --login -c #(nop) ENV SINGULARITY_IMAGE_ACCELERATOR=NVIDIA
0.00B 2023-04-03 16:27:35 /bin/bash --login -c #(nop) ENV SINGULARITY_IMAGE_FRAMEWORK=PyTorch
109.02KB 2023-04-03 16:27:30 /bin/bash --login -c #(nop) COPY dir:303046c532bc3060e414863596cfd1e47eb4380cce34afceca3281b4fc2e965c in /opt/microsoft/_singularity/validations/
541.66MB 2023-04-03 16:27:25 /bin/bash --login -c /opt/microsoft/_singularity/installations/singularity/installer.sh
67.24KB 2023-04-03 16:25:14 /bin/bash --login -c #(nop) COPY dir:cfedefbde912d9ae5142ddd7f97b6579ac1b93abc5fcac6afcfe3c55a41618e9 in /opt/microsoft/_singularity/installations/
0.00B 2023-04-03 16:24:54 /bin/bash --login -c #(nop) ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/ucx/bin:/opt/conda/envs/ptca/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2.45GB 2023-04-03 16:24:49 |1 PTEBIC_STORAGE_HPCX_SAS_TOKEN=si=read_policy&spr=https&sv=2021-06-08&sr=c&sig=kpQKbmNEORCCELcYAIMDag5CccWbS6H%2F8TkN4e1RaJY%3D /bin/bash --login -c bash install_system_packages.sh $PTEBIC_STORAGE_HPCX_SAS_TOKEN && rm /install_system_packages.sh && rm -rf /training
11.24KB 2023-04-03 16:21:06 /bin/bash --login -c #(nop) COPY dir:f092ea73db3661090acc4cc59650f351294c32336a2de1613d956430ec1ff6bd in /training/install/system_packages
51.42KB 2023-04-03 16:21:02 |1 PTEBIC_STORAGE_HPCX_SAS_TOKEN=si=read_policy&spr=https&sv=2021-06-08&sr=c&sig=kpQKbmNEORCCELcYAIMDag5CccWbS6H%2F8TkN4e1RaJY%3D /bin/bash --login -c echo "sudo() { command sudo env PATH="\$PATH" "\$@"; }" >> /root/.bashrc
386.38MB 2023-04-03 16:20:52 /bin/bash --login -c #(nop) COPY dir:4f7f639b8a96783a638b073262c781b9279334e6d2daa7117a6694c886be84aa in /training/install/internal_packages/download_internal_packages/msccl_package
1.69KB 2023-04-03 16:20:41 /bin/bash --login -c #(nop) COPY file:025cf7ebd5b079ce6e5403b5fe5ebac75813dbad6e5b89c35112e6168ffcd3e6 in /install_system_packages.sh
0.00B 2023-04-03 16:20:37 /bin/bash --login -c #(nop) ARG PTEBIC_STORAGE_HPCX_SAS_TOKEN
0.00B 2023-04-03 16:20:34 /bin/bash --login -c #(nop) ENV CONDA_DEFAULT_ENV=ptca CONDA_PREFIX=/opt/conda/envs/ptca
0.00B 2023-04-03 16:20:30 /bin/bash --login -c #(nop) ENV PATH=/opt/conda/envs/ptca/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
205.43MB 2023-04-03 16:20:26 /bin/bash --login -c conda create -y -p $CONDA_ENVIRONMENT_PATH python=$PYTHON_VERSION && conda clean --all --yes
0.00B 2023-04-03 16:19:42 /bin/bash --login -c #(nop) ENV AZUREML_CONDA_ENVIRONMENT_PATH=/opt/conda/envs/ptca
0.00B 2023-04-03 16:19:39 /bin/bash --login -c #(nop) ENV CONDA_ENVIRONMENT_PATH=/opt/conda/envs/ptca
261.56MB 2023-04-03 16:19:35 |5 BUILD_DISTRIBUTED_BACKEND=sccl BUILD_INTERNAL_OR_PUBLIC=internal BUILD_PYTHON_VERSION=3.8 BUILD_PYTORCH_TYPE=stable BUILD_PYTORCH_VERSION=1.13.0 /bin/bash --login -c curl -fsSL -o install_conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && bash install_conda.sh -b -p /opt/conda && conda init bash && conda config --set auto_activate_base false && conda update --all && echo "if [ -z "\${CONDA_PREFIX+x}" ]; then :; else conda activate "\$CONDA_PREFIX"; fi" >> /root/.bashrc && rm install_conda.sh && /opt/conda/bin/conda clean -ya
0.00B 2023-04-03 16:18:52 /bin/bash --login -c #(nop) 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
0.00B 2023-04-03 16:18:50 /bin/bash --login -c #(nop) ENV LANG=en_US.UTF-8
4.90MB 2023-04-03 16:18:48 |5 BUILD_DISTRIBUTED_BACKEND=sccl BUILD_INTERNAL_OR_PUBLIC=internal BUILD_PYTHON_VERSION=3.8 BUILD_PYTORCH_TYPE=stable BUILD_PYTORCH_VERSION=1.13.0 /bin/bash --login -c sed -i -e 's/# en_US.UTF-8 UTF-8/en_US.UTF-8 UTF-8/' /etc/locale.gen && dpkg-reconfigure --frontend=noninteractive locales && update-locale LANG=en_US.UTF-8
459.18MB 2023-04-03 16:18:34 |5 BUILD_DISTRIBUTED_BACKEND=sccl BUILD_INTERNAL_OR_PUBLIC=internal BUILD_PYTHON_VERSION=3.8 BUILD_PYTORCH_TYPE=stable BUILD_PYTORCH_VERSION=1.13.0 /bin/bash --login -c bash install_essential_packages.sh && rm /install_essential_packages.sh
467.00B 2023-04-03 16:10:04 /bin/bash --login -c #(nop) COPY file:17c450ba615149f9ac5bbc9b2fc627bd23269c1b38d8ab5e7efa1d1acb1112c4 in /install_cmake.sh
608.00B 2023-04-03 16:10:03 /bin/bash --login -c #(nop) COPY file:2fcdfe3b21b65418eb505e7a67e9f88fd8301ca2814d5cfe950da6a5a2e36749 in /install_essential_packages.sh
1.17GB 2023-04-03 16:10:02 |5 BUILD_DISTRIBUTED_BACKEND=sccl BUILD_INTERNAL_OR_PUBLIC=internal BUILD_PYTHON_VERSION=3.8 BUILD_PYTORCH_TYPE=stable BUILD_PYTORCH_VERSION=1.13.0 /bin/bash --login -c apt update && apt upgrade -y
0.00B 2023-04-03 16:08:32 /bin/bash --login -c #(nop) ENV DSVM=False
0.00B 2023-04-03 16:08:31 /bin/bash --login -c #(nop) ARG DSVM
0.00B 2023-04-03 16:08:30 /bin/bash --login -c #(nop) ENV PYTORCH_TYPE=stable
0.00B 2023-04-03 16:08:29 /bin/bash --login -c #(nop) ARG BUILD_PYTORCH_TYPE
0.00B 2023-04-03 16:08:28 /bin/bash --login -c #(nop) ENV INTERNAL_OR_PUBLIC=internal
0.00B 2023-04-03 16:08:27 /bin/bash --login -c #(nop) ARG BUILD_INTERNAL_OR_PUBLIC
0.00B 2023-04-03 16:08:26 /bin/bash --login -c #(nop) ENV DISTRIBUTED_BACKEND=sccl
0.00B 2023-04-03 16:08:25 /bin/bash --login -c #(nop) ARG BUILD_DISTRIBUTED_BACKEND
0.00B 2023-04-03 16:08:24 /bin/bash --login -c #(nop) ENV PYTORCH_BUILD_VERSION=1.13.0
0.00B 2023-04-03 16:08:23 /bin/bash --login -c #(nop) ARG BUILD_PYTORCH_VERSION
0.00B 2023-04-03 16:08:22 /bin/bash --login -c #(nop) ENV PYTHON_VERSION=3.8
0.00B 2023-04-03 16:08:21 /bin/bash --login -c #(nop) ARG BUILD_PYTHON_VERSION
0.00B 2023-04-03 16:08:20 /bin/bash --login -c #(nop) SHELL [/bin/bash --login -c]
0.00B 2023-04-03 16:08:19 /bin/sh -c #(nop) ENV GPU_TYPE=cu117
0.00B 2023-04-03 16:08:19 /bin/sh -c #(nop) ARG BUILD_GPU_TYPE
1.94GB 2022-12-17 09:09:24 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
0.00B 2022-12-17 09:09:24 LABEL com.nvidia.cudnn.version=8.5.0.96
0.00B 2022-12-17 09:09:24 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-12-17 09:09:24 ARG TARGETARCH
0.00B 2022-12-17 09:09:24 ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.5.0.96-1+cuda11.7
0.00B 2022-12-17 09:09:24 ENV NV_CUDNN_PACKAGE=libcudnn8=8.5.0.96-1+cuda11.7
0.00B 2022-12-17 09:09:24 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2022-12-17 09:09:24 ENV NV_CUDNN_VERSION=8.5.0.96
0.00B 2022-12-15 04:13:58 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
374.63KB 2022-12-15 04:13:58 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
2.82GB 2022-12-15 04:13:57 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libtinfo5 libncursesw5 cuda-cudart-dev-11-7=${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} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-12-15 04:13:57 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-12-15 04:13:57 ARG TARGETARCH
0.00B 2022-12-15 04:13:57 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7
0.00B 2022-12-15 04:13:57 ENV NCCL_VERSION=2.13.4-1
0.00B 2022-12-15 04:13:57 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1
0.00B 2022-12-15 04:13:57 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2022-12-15 04:13:57 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.50-1
0.00B 2022-12-15 04:13:57 ENV NV_NVPROF_VERSION=11.7.50-1
0.00B 2022-12-15 04:13:57 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.1.25-1
0.00B 2022-12-15 04:13:57 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7
0.00B 2022-12-15 04:13:57 ENV NV_LIBCUBLAS_DEV_VERSION=11.10.1.25-1
0.00B 2022-12-15 04:13:57 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.3.21-1
0.00B 2022-12-15 04:13:57 ENV NV_LIBNPP_DEV_VERSION=11.7.3.21-1
0.00B 2022-12-15 04:13:57 ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.3.50-1
0.00B 2022-12-15 04:13:57 ENV NV_NVML_DEV_VERSION=11.7.50-1
0.00B 2022-12-15 04:13:57 ENV NV_CUDA_CUDART_DEV_VERSION=11.7.60-1
0.00B 2022-12-15 04:13:57 ENV NV_CUDA_LIB_VERSION=11.7.0-1
0.00B 2022-12-15 04:03:03 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2022-12-15 04:03:03 ENV NVIDIA_CUDA_END_OF_LIFE=1
0.00B 2022-12-15 04:03:03 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2022-12-15 04:03:03 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.04KB 2022-12-15 04:03:03 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
258.24KB 2022-12-15 04:03:03 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
1.82GB 2022-12-15 04:03:02 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-7=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-7=${NV_NVTX_VERSION} libcusparse-11-7=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-12-15 04:03:02 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-12-15 04:03:02 ARG TARGETARCH
0.00B 2022-12-15 04:03:02 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7
0.00B 2022-12-15 04:03:02 ENV NCCL_VERSION=2.13.4-1
0.00B 2022-12-15 04:03:02 ENV NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1
0.00B 2022-12-15 04:03:02 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2022-12-15 04:03:02 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.1.25-1
0.00B 2022-12-15 04:03:02 ENV NV_LIBCUBLAS_VERSION=11.10.1.25-1
0.00B 2022-12-15 04:03:02 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7
0.00B 2022-12-15 04:03:02 ENV NV_LIBCUSPARSE_VERSION=11.7.3.50-1
0.00B 2022-12-15 04:03:02 ENV NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.3.21-1
0.00B 2022-12-15 04:03:02 ENV NV_LIBNPP_VERSION=11.7.3.21-1
0.00B 2022-12-15 04:03:02 ENV NV_NVTX_VERSION=11.7.50-1
0.00B 2022-12-15 04:03:02 ENV NV_CUDA_LIB_VERSION=11.7.0-1
0.00B 2022-12-15 03:58:37 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2022-12-15 03:58:37 ENV NVIDIA_VISIBLE_DEVICES=all
16.05KB 2022-12-15 03:58:37 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2022-12-15 03:58:37 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2022-12-15 03:58:37 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2022-12-15 03:58:37 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
119.68MB 2022-12-15 03:58:37 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-7=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-12-15 03:58:22 ENV CUDA_VERSION=11.7.0
18.28MB 2022-12-15 03:58:22 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${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 03:58:22 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-12-15 03:58:22 ARG TARGETARCH
0.00B 2022-12-15 03:58:22 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
0.00B 2022-12-15 03:58:22 ENV NV_CUDA_CUDART_VERSION=11.7.60-1
0.00B 2022-12-15 03:58:22 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.7 brand=tesla,driver>=450,driver<451 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 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511
0.00B 2022-12-15 03:58:22 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": "sha256:255fc450efbcd5f23bcac03ed060be2e21fe62951d268fb0e5f6cf4d06b1e649",
    "RepoTags": [
        "nikghosh09/transformers:sing_v1",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nikghosh09/transformers:sing_v1"
    ],
    "RepoDigests": [
        "nikghosh09/transformers@sha256:d942d9d397760b0ab7800ca17aa7925b9f472f0f1296563e647b578a4118d23f",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nikghosh09/transformers@sha256:d942d9d397760b0ab7800ca17aa7925b9f472f0f1296563e647b578a4118d23f"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-08-21T17:56:15.597681526Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "root",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/mpi/bin:/usr/local/ucx/bin:/opt/conda/envs/ptca/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\u003e=11.7 brand=tesla,driver\u003e=450,driver\u003c451 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=510,driver\u003c511 brand=unknown,driver\u003e=510,driver\u003c511 brand=nvidia,driver\u003e=510,driver\u003c511 brand=nvidiartx,driver\u003e=510,driver\u003c511 brand=quadro,driver\u003e=510,driver\u003c511 brand=quadrortx,driver\u003e=510,driver\u003c511 brand=titan,driver\u003e=510,driver\u003c511 brand=titanrtx,driver\u003e=510,driver\u003c511 brand=geforce,driver\u003e=510,driver\u003c511 brand=geforcertx,driver\u003e=510,driver\u003c511",
            "NV_CUDA_CUDART_VERSION=11.7.60-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7",
            "CUDA_VERSION=11.7.0",
            "LD_LIBRARY_PATH=/opt/hpcx/nccl_rdma_sharp_plugin/lib:/opt/nccl-rdma-sharp-plugins/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.7.0-1",
            "NV_NVTX_VERSION=11.7.50-1",
            "NV_LIBNPP_VERSION=11.7.3.21-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.3.21-1",
            "NV_LIBCUSPARSE_VERSION=11.7.3.50-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7",
            "NV_LIBCUBLAS_VERSION=11.10.1.25-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.1.25-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1",
            "NCCL_VERSION=2.13.4-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NVIDIA_CUDA_END_OF_LIFE=1",
            "NV_CUDA_CUDART_DEV_VERSION=11.7.60-1",
            "NV_NVML_DEV_VERSION=11.7.50-1",
            "NV_LIBCUSPARSE_DEV_VERSION=11.7.3.50-1",
            "NV_LIBNPP_DEV_VERSION=11.7.3.21-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.3.21-1",
            "NV_LIBCUBLAS_DEV_VERSION=11.10.1.25-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.1.25-1",
            "NV_NVPROF_VERSION=11.7.50-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.50-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "NV_CUDNN_VERSION=8.5.0.96",
            "NV_CUDNN_PACKAGE_NAME=libcudnn8",
            "NV_CUDNN_PACKAGE=libcudnn8=8.5.0.96-1+cuda11.7",
            "NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.5.0.96-1+cuda11.7",
            "GPU_TYPE=cu117",
            "PYTHON_VERSION=3.8",
            "PYTORCH_BUILD_VERSION=1.13.0",
            "DISTRIBUTED_BACKEND=sccl",
            "INTERNAL_OR_PUBLIC=internal",
            "PYTORCH_TYPE=stable",
            "DSVM=False",
            "LANG=en_US.UTF-8",
            "CONDA_ENVIRONMENT_PATH=/opt/conda/envs/ptca",
            "AZUREML_CONDA_ENVIRONMENT_PATH=/opt/conda/envs/ptca",
            "CONDA_DEFAULT_ENV=ptca",
            "CONDA_PREFIX=/opt/conda/envs/ptca",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "SINGULARITY_IMAGE_FRAMEWORK=PYTORCH",
            "SINGULARITY_IMAGE_ACCELERATOR=NVIDIA",
            "SINGULARITY_IMAGE_ACCELERATOR_SKU=A100",
            "NCCL_ASYNC_ERROR_HANDLING=1",
            "TZ=US/Pacific",
            "SINGULARITY_BASE_IMAGE=base/job/pytorch/ptca-1.13.0-cuda11.7:20230414T112529310"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/home/aiscuser",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "acptTag": "biweekly.202304.1",
            "buildDate": "2023-04-03T08:05:02Z",
            "com.nvidia.cudnn.version": "8.5.0.96",
            "commitSHA": "592d91bdbe3ba56c8dc90936386028458831a59e",
            "maintainer": "Singularity Engineering Team \u003csingularity@microsoft.com\u003e",
            "name": "Azure Container for Pytorch",
            "releaseDate": "2023-04-04T03:41:49Z"
        },
        "Shell": [
            "/bin/bash",
            "--login",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 19310536238,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/bfd7eda10dc493c4b3816efb2234662a60c90f4e2bdc61ac067212da4416a713/diff:/var/lib/docker/overlay2/ab87f7b7d827486b9b78cb72401729eec571bf6fcc4a02e47a339c3b260c2ed7/diff:/var/lib/docker/overlay2/8f725abb4cc1661a62ef2713d7a63d09a086fbcf6f377a254afd9e26ee15fb0f/diff:/var/lib/docker/overlay2/29cc14a34c231205fbda6ecec73cc37c6012d5fac04b08a8412343ebaaa7921a/diff:/var/lib/docker/overlay2/6a372bbf48ab0d1dc941ce08d9d0efc9cc26c89c4cb3e409a5ed38a7745a198e/diff:/var/lib/docker/overlay2/d2d0a84052931b9a411a870805fed24c8955067c9a19995f9e16d368610e0bde/diff:/var/lib/docker/overlay2/c8a02dc0a92dd84629f1c9b65379ef334a54d0d3b9afa28962b1edaf3b8731a0/diff:/var/lib/docker/overlay2/95cd1d6f5f842cec7067e97af3bf42a535d3d82b60fe43b599eaaa572f2e694d/diff:/var/lib/docker/overlay2/11329c8779543c8a2b44d592d7049481d0c3cd2f136d9ee06cebd3e4eed8195d/diff:/var/lib/docker/overlay2/ae46d34ab9bc3237bd00d488a0efd76503fc494d8f15ae10325e0261961c4183/diff:/var/lib/docker/overlay2/d4db71610347402a51c67fc5295301ea9a1fcc7498b003ca4899c24020bcf690/diff:/var/lib/docker/overlay2/9305f8ad3b6b2271453816fde765aaf77e3870a380cf99d3bc3ed595aa71a232/diff:/var/lib/docker/overlay2/94084e4d8589a1358301af6c3f9aa7e6ae949d1eb9f549ea684fe4c9227742e2/diff:/var/lib/docker/overlay2/6bfad646de0ea8320c1ee78e585a2166b175a9c2916378c06fc46f02a8ef4d52/diff:/var/lib/docker/overlay2/c83072b842b1109bb58908578d2062cbdd8cb0b1fd75f72b64ae347e28895d63/diff:/var/lib/docker/overlay2/8779ffe229fc7b289b1572c73504cddbb50a0e7366c533c629cdb9574feb1daf/diff:/var/lib/docker/overlay2/de011601cc010dc24956ff8205739ac8503a71e5d70213413c9912f8ae136aef/diff:/var/lib/docker/overlay2/aefa35c7d9d913b9d5caa8592ecd574a3d56400e7c259e0ef2fbd052a2d9e96c/diff:/var/lib/docker/overlay2/673b7812b7695295eb2c915ffc40d17d837d8a677d1ebfe17ede52553bdaf589/diff:/var/lib/docker/overlay2/bce9e08d12c5262cb91e4adfd9a89afc161a90983df4877c58e913665fc0d140/diff:/var/lib/docker/overlay2/ee9471965867ff82cc8b64f7414887fb7ec9b219d2c1de927e42cad64d8b433c/diff:/var/lib/docker/overlay2/8671383641a0494937014176034fff3be77cbf148d6eb07579b24bb29ab829c3/diff:/var/lib/docker/overlay2/77d4d583ad492a67fc9e2d2f4aef717047653662fb82d5fcf38baa8e858cfb02/diff:/var/lib/docker/overlay2/2115efcc0e31b0002ca05e5e3c36df979b18428c50ff0b4177c75171528c52a0/diff:/var/lib/docker/overlay2/16812bcbfd880f131aa59abb2d661f083a3a5284c47f7b20c3cb797929eaa21b/diff:/var/lib/docker/overlay2/afaf00abe3c8191548734fe308d4549f91047d0b7b71033159509df411edd849/diff:/var/lib/docker/overlay2/e71e0b979ba4e76c77e3909c6d1b684501b51f96eff4763a618e7872a85a2864/diff:/var/lib/docker/overlay2/f5a4c864e86de2c9b98028a9c948f066c31b2e47b308b80d849494bd00996834/diff:/var/lib/docker/overlay2/6a594884aafa6dd9c04af7c00f9e7c6f68bf0862b3c821962ae8b0f1e9a8fe29/diff:/var/lib/docker/overlay2/4bdb576eb04dcdcc5b6937041c718781f901ba8ef5e3953d39865eb3b8fe1fba/diff:/var/lib/docker/overlay2/5a9dee9e9874235ee2e52b5d074d64e509b31c668076c8ba1d8230a990930b71/diff:/var/lib/docker/overlay2/4ce948b0ba586ae2982d2bb0029ae101935f5bc76735f0a3295710e9ec337fde/diff:/var/lib/docker/overlay2/e40c486ee9cedd2f55470d55392759317fcf7c0a4d104d0d0f8fbcbf9eca6ff5/diff:/var/lib/docker/overlay2/876e08457979750cdf903ac65858f90782d5154073bdd67ff2c710fbf2668799/diff:/var/lib/docker/overlay2/2916b49752084ab55fd592e8b282d95623f4de731fbc9d01e8c84c56d4669f25/diff:/var/lib/docker/overlay2/8df1e275d2c239124785e9e0f99dae423c7bb4536b1d7ce27b3e90e5203992d7/diff:/var/lib/docker/overlay2/c3877bee95ab64776b4ea427183ac1bd7de965e7304240727ec90f0bbe879096/diff:/var/lib/docker/overlay2/db4483979648b9d67fc0cb4b8ee95771674775eb75a31f9902954381d2c2aa61/diff:/var/lib/docker/overlay2/5a2f97962e37e1e50b6d45af5f9954a77ce5d9ad6978730aeb2159339895ecc4/diff:/var/lib/docker/overlay2/016ec5a8e31b569f5a99df384629e9260461737d53aff65d67913acf19fa6efb/diff:/var/lib/docker/overlay2/9e90ce1d0ba183da241b452e3602f3bbf5a4f477bd8191d6177b1e44a339b7d8/diff:/var/lib/docker/overlay2/b3b512615a9a58b2ba6ccf57dc02232085483d18e5d6565fe16591b8322fa026/diff:/var/lib/docker/overlay2/e14fc636b813a018dc281dc7187fc8f6111822ebeba4b99ff8ffd270e2fea4a4/diff:/var/lib/docker/overlay2/dbafe43b5e047b7fb18e9ef9d30fcc94b2fa828be8acfe643ec3c4c125217b90/diff:/var/lib/docker/overlay2/0f2210261b0da6b90fe6aa4b636b1990fb76d7153ef548ae40e3a8e5f0fbb519/diff:/var/lib/docker/overlay2/4ffefe4f20900098125930fee42cc8d6610ff3e404e14604d9ae86adbc079ddc/diff:/var/lib/docker/overlay2/8b233e2a88b559065258d790551f82f60e67ab80f5acf9f92c84cbdc0b80b297/diff:/var/lib/docker/overlay2/27ed0e4c91237814d7162214605fa800bdf677aba98c5490a99bf65f279619b5/diff:/var/lib/docker/overlay2/bbf1c0ff8b1970d811d0e7021ea0f6337287d975211dbbde689ab9fc79fa1f9b/diff:/var/lib/docker/overlay2/8ff1f640030991da3b75905245175a377090d4f754e33b2d576618fdd677350e/diff:/var/lib/docker/overlay2/6e60194793d033cebc982dcdbc891b3c2de87606a18cdf5de9186936df73da11/diff:/var/lib/docker/overlay2/e2c16fb2c67ff76847c631fa73d50b58f9dcebdf06fdd451f739fc864e3d63f2/diff:/var/lib/docker/overlay2/9b22e2038754212794012d590e69fe85e54ef6d2e2ca656cee55734cb442808a/diff",
            "MergedDir": "/var/lib/docker/overlay2/0b198949fa41be209a9e7e312f133b09e10406122c187f1f5fe747e658d56d1d/merged",
            "UpperDir": "/var/lib/docker/overlay2/0b198949fa41be209a9e7e312f133b09e10406122c187f1f5fe747e658d56d1d/diff",
            "WorkDir": "/var/lib/docker/overlay2/0b198949fa41be209a9e7e312f133b09e10406122c187f1f5fe747e658d56d1d/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:0002c93bdb3704dd9e36ce5153ef637f84de253015f3ee330468dccdeacad60b",
            "sha256:b1a30caae1b901e4f37d1246569629689cc5d611ed45e7fa48411d71ccbf7f2e",
            "sha256:c638c9ad4d00af1f7f91cc3bd0b058e43718f3a276f4c0c83c32c86287d11e02",
            "sha256:29d81efb70cded94cad18a73eb9c0b8daf74b51599164f80a29c11740a8a58da",
            "sha256:02b35daccca6836ed83b176eea233faec76f4763ce30f51bf41c5377554aa8dc",
            "sha256:ff2d63ace99b381d7c25560ff58b478052dd24fdef514e58ab151daa87be4b3e",
            "sha256:a135fd5c90399fcb72fd1b5d01fe79e880d427b62cda9cfbecfcaea92c58c380",
            "sha256:9586853ba917934ed7eb1c6934fc20e43d54d49f496591e1c5a1f444442f72af",
            "sha256:3657184a5238a93028b5d8a496a028ea19f1cc99d396058f58f8273a7efdba24",
            "sha256:f626e92b1911f3362f9fd3779b4613e9e6606d7537462bb225949e8fd8735d0e",
            "sha256:f2e94848333a5f4e41be37b8edcd9dcdd2ed246376e24967ab8f42b5d339ff5f",
            "sha256:0d262b16f3104d2efa81699ac5779fb2932935ecea2223de991f4e383987d626",
            "sha256:794ec8ef296ccba6d520887867f48b0ee1bbd498c7fbc88f2e8b63dcfe7183c6",
            "sha256:ab4a118fda15044037cd9c2fb6706be2ca737f78432519cf3da1e2cfc2af1e17",
            "sha256:a7df92c96122126d1898bdec43149fd2bf86bdc1ee51b5f4b50af9ba7c4e9495",
            "sha256:8e78b8d85f51e76eb93680166aa9a546fd0e11f198c89c59d22a4c4fe537b74d",
            "sha256:c90e3efc83724b35f84e531551bcfabc783fbb16a606d03b2a7d5a3355684076",
            "sha256:9f578a72e2f0fe8e422934f008ef86b1814c44a97b6c6d0a2230000c61be0dbf",
            "sha256:addca91cb285db666106194dc535e8a05ac61240444e9056103ad5eaf90ccb5d",
            "sha256:d92fe7a635f192d49cbf1bc0d37e24aa92a8dda72a48500b73c8e3f9d2dd4e1a",
            "sha256:9894f62e9fd237796e8d8eb738cf60c275ab2d874c6d988182c3ddb3c9421a3b",
            "sha256:a42632b0d817d63562dd18b43b09991f5d6e5da20359cc23ba0f5a2c94fd65ca",
            "sha256:70f6305f6eaf875c319bf35ecae439ea6fe41fcf1e7bf605d64c8a9e3786f7bf",
            "sha256:ddf9df4b0d8e8b8fda58b1ad17b6156c0083d7a60b807f6f5f238eaae52f044b",
            "sha256:4ea54ea28e0d849187270073ff662b1f6254b98384dc90a1f4fc9c7d615b35c5",
            "sha256:43304fd701afc72aad7b2d81eb9ab012cc62bf2739cf8bdbc14e736417be5a52",
            "sha256:77b0e148be38bf9b600319e1bc1566746139b210ad23887392c263f51b0a5eb0",
            "sha256:6e7e28c5a4a5ad78664ca56fb3930cc3d818ebb962ade4e8dec6d4daa8d7ee4d",
            "sha256:bfb60298a18e0477147077b922e320f6d6d4b029252487874ce50715dd91bd98",
            "sha256:069b0b5c47bc509681bfecc2681bdb6652f76c426901b763aab88d96bca87d86",
            "sha256:f216c53dbd4ed6c6076986f66239a77b5c75b13cc621a2374d5960a968d18cd1",
            "sha256:ef95c4c88a991c5c3a594dc13e93f9d29df75650403f25ba4597408c600f7f64",
            "sha256:2f0b02e69cb65b732ff0343abe378be5e45d0f511c6fa37bc6bde803ecbf9ebb",
            "sha256:1259f77e2300ea203c36ab9df615108314ad0dbc6bff5ed41afaa8d8d1fc9e5f",
            "sha256:f62b57124aad22c119914ba89a79cdfeb94dc09a621f543d5235c9f26c4cb8b7",
            "sha256:20ab739e6492af42e8190d80a1ac62c33cc714ad7a918d26efad27770d8f1c12",
            "sha256:730c288c1a98f6d68800b4eaba4197744da7c414c8977c1e698b309c4e6db20f",
            "sha256:c5c7606b72925f8a1d6a97ae8891a1d9b691f83c809ab58976421557f15e633e",
            "sha256:54e71db96850cd48e1da800eceb5eab1fdb77359c6d383edb49e0f725d85045c",
            "sha256:29b55875a116a89fa8acb5cecab3c9a1a99f759dc673ee281ed2e0a02adf26a7",
            "sha256:254d21148bcce1931f2bc081580f9d30d64bea687d00498a3b367a2df773cd13",
            "sha256:81288a5847b3176a1594fbf96c3ca044cfc2949a61600d67ed0a8be679279062",
            "sha256:65706803ec52f4a5697a6149eec42461cfb2d5c18ae147aafc39c9b7d671f55e",
            "sha256:35b00e318f2c70f3d071c7587353a2deeb8b00538097940eeaf389acbb4f3cbc",
            "sha256:4e30538d52dc79cdac01f5eae8021c54a4bd31a00be4ff587990232bbe9ec588",
            "sha256:56a8b32ca4b0fd904a5df51830ce5c59466502871bab6cca46eb8378f43b1f9d",
            "sha256:fa2ce6c6eb2679afa4244bfa6a158823a8ee50471a1c0453e9d748da35f65220",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:37b409ecd110ed5fbbacfb53e4153d62b3723f4889c2eb937cdb09d15a182269",
            "sha256:8b33f21c509ffc344376012ae45d9d641c1b20a26bebf8a6b32273fb837669b6",
            "sha256:2fabbe18e54e508a392400639c064bbed3b6d118bbc240e43d5470e7ce0cb8f1",
            "sha256:c92e8b41629cd09ee5725002d73505a7091efdc6af1664750a9931fff4cb4c68",
            "sha256:5c943e05c34783e523c0342f10eee0e232f8fd8d9b96605069ac82002e9c7bed",
            "sha256:3489782c0809b7c17216b54b075a449620b143768adb9a73b4d837102159e329"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-10-18T00:31:20.579096959+08:00"
    }
}

更多版本