docker.io/realamphion/amphion:latest linux/amd64

docker.io/realamphion/amphion:latest - 国内下载镜像源 浏览次数:99

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1. 镜像名称:realamphion/amphion 2.

镜像描述

  • 镜像来源:docker.io
  • 镜像名称:realamphion/amphion
3.

镜像信息

这是一个基于Docker的容器镜像,适合于Node.js应用。

  1. 使用场景:用于部署Node.js应用
  2. 适用环境:多platform(Windows、Linux、macOS)
  3. 镜像大小约为2G
源镜像 docker.io/realamphion/amphion:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/realamphion/amphion:latest
镜像ID sha256:d57073a88944e45a7d517ea27c4f4c150f66c514519c9f13f979878209cea425
镜像TAG latest
大小 19.60GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /app
OS/平台 linux/amd64
浏览量 99 次
贡献者
镜像创建 2024-02-20T03:35:41.28163106+08:00
同步时间 2024-11-05 00:36
更新时间 2024-12-22 23:11
环境变量
PATH=/opt/conda/bin:/usr/local/cuda/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>=11.8 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=geforce,driver>=510,driver<511 brand=geforcertx,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=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516 NV_CUDA_CUDART_VERSION=11.8.89-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8 CUDA_VERSION=11.8.0 LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.8.0-1 NV_NVTX_VERSION=11.8.86-1 NV_LIBNPP_VERSION=11.8.0.86-1 NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1 NV_LIBCUSPARSE_VERSION=11.7.5.86-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8 NV_LIBCUBLAS_VERSION=11.11.3.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1 NCCL_VERSION=2.15.5-1 NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=11.8.89-1 NV_NVML_DEV_VERSION=11.8.86-1 NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1 NV_LIBNPP_DEV_VERSION=11.8.0.86-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1 NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1 NV_NVPROF_VERSION=11.8.87-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.8 LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.6.0.163 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.6.0.163-1+cuda11.8 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.6.0.163-1+cuda11.8 LANG=en_US.UTF-8 PYTHONIOENCODING=utf-8 PYTHONDONTWRITEBYTECODE=1 CUDA_HOME=/usr/local/cuda CONDA_HOME=/opt/conda SHELL=/bin/bash CONDA_PREFIX=/opt/conda NCCL_HOME=/usr/local/cuda
镜像标签
8.6.0.163: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 18.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 18.04 扫描引擎: Trivy 扫描时间: 2024-11-05 00:40

低危漏洞:46 中危漏洞:163 高危漏洞:22 严重漏洞:1

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/realamphion/amphion:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/realamphion/amphion:latest  docker.io/realamphion/amphion:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/realamphion/amphion:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/realamphion/amphion:latest  docker.io/realamphion/amphion:latest

Shell快速替换命令

sed -i 's#realamphion/amphion:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/realamphion/amphion:latest#' 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/realamphion/amphion:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/realamphion/amphion:latest  docker.io/realamphion/amphion:latest'

Ansible快速分发-Containerd

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

镜像历史

大小 创建时间 层信息
0.00B 2024-02-20 03:35:41 CMD ["/bin/bash"]
3.56KB 2024-02-20 03:35:41 RUN |5 DEBIAN_FRONTEND=noninteractive PYTORCH=2.0.0 CUDA=cu118 SHELL=/bin/bash MINICONDA=Miniconda3-py39_23.3.1-0-Linux-x86_64.sh /bin/sh -c conda init && echo "\nconda activate amphion\n" >> ~/.bashrc # buildkit
9.06GB 2024-02-20 03:35:40 RUN |5 DEBIAN_FRONTEND=noninteractive PYTORCH=2.0.0 CUDA=cu118 SHELL=/bin/bash MINICONDA=Miniconda3-py39_23.3.1-0-Linux-x86_64.sh conda run -n amphion -vvv --no-capture-output ./env.sh # buildkit
1.22KB 2024-02-20 00:41:32 RUN |5 DEBIAN_FRONTEND=noninteractive PYTORCH=2.0.0 CUDA=cu118 SHELL=/bin/bash MINICONDA=Miniconda3-py39_23.3.1-0-Linux-x86_64.sh /bin/sh -c chmod +x ./env.sh # buildkit
1.22KB 2024-02-20 00:41:31 COPY env.sh env.sh # buildkit
0.00B 2024-02-18 21:11:15 WORKDIR /app
412.33MB 2024-02-18 21:11:15 RUN |5 DEBIAN_FRONTEND=noninteractive PYTORCH=2.0.0 CUDA=cu118 SHELL=/bin/bash MINICONDA=Miniconda3-py39_23.3.1-0-Linux-x86_64.sh /bin/sh -c conda create -y --name amphion python=3.9.15 # buildkit
308.06MB 2024-02-18 21:10:39 RUN |5 DEBIAN_FRONTEND=noninteractive PYTORCH=2.0.0 CUDA=cu118 SHELL=/bin/bash MINICONDA=Miniconda3-py39_23.3.1-0-Linux-x86_64.sh /bin/sh -c wget -t 0 -c -O /tmp/anaconda.sh https://repo.anaconda.com/miniconda/${MINICONDA} && mv /tmp/anaconda.sh /root/anaconda.sh && ${SHELL} /root/anaconda.sh -b -p $CONDA_HOME && rm /root/anaconda.sh # buildkit
0.00B 2024-02-18 21:10:11 USER root
957.27MB 2024-02-18 21:10:11 RUN |5 DEBIAN_FRONTEND=noninteractive PYTORCH=2.0.0 CUDA=cu118 SHELL=/bin/bash MINICONDA=Miniconda3-py39_23.3.1-0-Linux-x86_64.sh /bin/sh -c sed -i 's/archive.ubuntu.com/mirrors.cloud.tencent.com/g' /etc/apt/sources.list && sed -i 's/security.ubuntu.com/mirrors.cloud.tencent.com/g' /etc/apt/sources.list && rm /etc/apt/sources.list.d/cuda.list && apt-get update && apt-get -y install python3-pip ffmpeg git less wget libsm6 libxext6 libxrender-dev build-essential cmake pkg-config libx11-dev libatlas-base-dev libgtk-3-dev libboost-python-dev vim libgl1-mesa-glx libaio-dev software-properties-common tmux espeak-ng # buildkit
0.00B 2024-02-18 21:10:11 ENV PATH=/opt/conda/bin:/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs CONDA_PREFIX=/opt/conda NCCL_HOME=/usr/local/cuda
0.00B 2024-02-18 21:10:11 ENV LANG=en_US.UTF-8 PYTHONIOENCODING=utf-8 PYTHONDONTWRITEBYTECODE=1 CUDA_HOME=/usr/local/cuda CONDA_HOME=/opt/conda SHELL=/bin/bash
0.00B 2024-02-18 21:10:11 ARG MINICONDA=Miniconda3-py39_23.3.1-0-Linux-x86_64.sh
0.00B 2024-02-18 21:10:11 ARG SHELL=/bin/bash
0.00B 2024-02-18 21:10:11 ARG CUDA=cu118
0.00B 2024-02-18 21:10:11 ARG PYTORCH=2.0.0
0.00B 2024-02-18 21:10:11 ARG DEBIAN_FRONTEND=noninteractive
2.51GB 2023-02-02 13:38:31 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 2023-02-02 13:38:31 LABEL com.nvidia.cudnn.version=8.6.0.163
0.00B 2023-02-02 13:38:31 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-02-02 13:38:31 ARG TARGETARCH
0.00B 2023-02-02 13:38:31 ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.6.0.163-1+cuda11.8
0.00B 2023-02-02 13:38:31 ENV NV_CUDNN_PACKAGE=libcudnn8=8.6.0.163-1+cuda11.8
0.00B 2023-02-02 13:38:31 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2023-02-02 13:38:31 ENV NV_CUDNN_VERSION=8.6.0.163
0.00B 2023-02-02 13:26:12 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
370.27KB 2023-02-02 13:26:12 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
3.71GB 2023-02-02 13:26:12 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-11-8=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-8=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-8=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-8=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-8=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-8=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-02-02 13:26:12 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-02-02 13:26:12 ARG TARGETARCH
0.00B 2023-02-02 13:26:12 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.8
0.00B 2023-02-02 13:26:12 ENV NCCL_VERSION=2.15.5-1
0.00B 2023-02-02 13:26:12 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1
0.00B 2023-02-02 13:26:12 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2023-02-02 13:26:12 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1
0.00B 2023-02-02 13:26:12 ENV NV_NVPROF_VERSION=11.8.87-1
0.00B 2023-02-02 13:26:12 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1
0.00B 2023-02-02 13:26:12 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8
0.00B 2023-02-02 13:26:12 ENV NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1
0.00B 2023-02-02 13:26:12 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1
0.00B 2023-02-02 13:26:12 ENV NV_LIBNPP_DEV_VERSION=11.8.0.86-1
0.00B 2023-02-02 13:26:12 ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1
0.00B 2023-02-02 13:26:12 ENV NV_NVML_DEV_VERSION=11.8.86-1
0.00B 2023-02-02 13:26:12 ENV NV_CUDA_CUDART_DEV_VERSION=11.8.89-1
0.00B 2023-02-02 13:26:12 ENV NV_CUDA_LIB_VERSION=11.8.0-1
0.00B 2023-02-02 13:21:58 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-02-02 13:21:58 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-02-02 13:21:58 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.04KB 2023-02-02 13:21:58 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
256.97KB 2023-02-02 13:21:58 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.41GB 2023-02-02 13:21:57 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-8=${NV_NVTX_VERSION} libcusparse-11-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-02-02 13:21:57 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-02-02 13:21:57 ARG TARGETARCH
0.00B 2023-02-02 13:21:57 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8
0.00B 2023-02-02 13:21:57 ENV NCCL_VERSION=2.15.5-1
0.00B 2023-02-02 13:21:57 ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
0.00B 2023-02-02 13:21:57 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-02-02 13:21:57 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
0.00B 2023-02-02 13:21:57 ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
0.00B 2023-02-02 13:21:57 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
0.00B 2023-02-02 13:21:57 ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
0.00B 2023-02-02 13:21:57 ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
0.00B 2023-02-02 13:21:57 ENV NV_LIBNPP_VERSION=11.8.0.86-1
0.00B 2023-02-02 13:21:57 ENV NV_NVTX_VERSION=11.8.86-1
0.00B 2023-02-02 13:21:57 ENV NV_CUDA_LIB_VERSION=11.8.0-1
0.00B 2023-02-02 13:19:38 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-02-02 13:19:38 ENV NVIDIA_VISIBLE_DEVICES=all
16.05KB 2023-02-02 13:19:38 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-02-02 13:19:37 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-02-02 13:19:37 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-02-02 13:19:37 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
150.70MB 2023-02-02 13:19:37 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-02-02 13:19:23 ENV CUDA_VERSION=11.8.0
16.53MB 2023-02-02 13:19:23 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-02-02 13:19:23 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-02-02 13:19:23 ARG TARGETARCH
0.00B 2023-02-02 13:19:23 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
0.00B 2023-02-02 13:19:23 ENV NV_CUDA_CUDART_VERSION=11.8.89-1
0.00B 2023-02-02 13:19:23 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 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=geforce,driver>=510,driver<511 brand=geforcertx,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=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516
0.00B 2023-02-02 13:19:23 ENV NVARCH=x86_64
0.00B 2023-01-26 18:03:05 /bin/sh -c #(nop) CMD ["/bin/bash"]
63.15MB 2023-01-26 18:03:04 /bin/sh -c #(nop) ADD file:365c129e10f7ef1594e8086543b45f524313e36dd6a25b68f4da542a09491f04 in /
0.00B 2023-01-26 18:03:03 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=18.04
0.00B 2023-01-26 18:03:03 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-01-26 18:03:03 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-01-26 18:03:03 /bin/sh -c #(nop) ARG RELEASE

镜像信息

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    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-02-20T03:35:41.28163106+08:00",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
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更多版本

docker.io/realamphion/amphion:latest

linux/amd64 docker.io19.60GB2024-11-05 00:36
98