docker.io/printsdfu/paraformer-torch2.0.0:latest linux/amd64

docker.io/printsdfu/paraformer-torch2.0.0:latest - 国内下载镜像源 浏览次数:11

温馨提示:此镜像为latest tag镜像,本站无法保证此版本为最新镜像

源镜像 docker.io/printsdfu/paraformer-torch2.0.0:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/printsdfu/paraformer-torch2.0.0:latest
镜像ID sha256:3d7069c3dba99279aca98921f14c942b3d5b0d74928bca7aa9a13d9d03c13355
镜像TAG latest
大小 12.03GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录 /app
OS/平台 linux/amd64
浏览量 11 次
贡献者 wy*********0@163.com
镜像创建 2025-12-05T07:50:47.450304112Z
同步时间 2025-12-06 00:46
更新时间 2025-12-06 21:31
开放端口
33/tcp 8888/tcp
环境变量
PATH=/home/user/micromamba/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/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility HOME=/home/user MAMBA_EXE=/usr/local/bin/micromamba MAMBA_ROOT_PREFIX=/home/user/micromamba CONDA_PREFIX=/home/user/micromamba
镜像标签
/home/aur/Track1-WSSSeg/: desktop.docker.io/binds/0/Source wsl2DistroFile: desktop.docker.io/binds/0/SourceKind /workspace/Track1-WSSSeg: desktop.docker.io/binds/0/Target v2: desktop.docker.io/ports.scheme archlinux: desktop.docker.io/wsl-distro NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/printsdfu/paraformer-torch2.0.0:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/printsdfu/paraformer-torch2.0.0:latest  docker.io/printsdfu/paraformer-torch2.0.0:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/printsdfu/paraformer-torch2.0.0:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/printsdfu/paraformer-torch2.0.0:latest  docker.io/printsdfu/paraformer-torch2.0.0:latest

Shell快速替换命令

sed -i 's#printsdfu/paraformer-torch2.0.0:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/printsdfu/paraformer-torch2.0.0: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/printsdfu/paraformer-torch2.0.0:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/printsdfu/paraformer-torch2.0.0:latest  docker.io/printsdfu/paraformer-torch2.0.0: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/printsdfu/paraformer-torch2.0.0:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/printsdfu/paraformer-torch2.0.0:latest  docker.io/printsdfu/paraformer-torch2.0.0:latest'

镜像构建历史


# 2025-12-05 15:50:47  496.72MB 
/bin/bash
                        
# 2023-07-30 13:39:29  3.82GB 
/bin/bash
                        
# 2023-03-30 08:42:27  0.00B 
/bin/sh -c #(nop)  CMD ["python3"]
                        
# 2023-03-30 08:42:24  45.00B 
/bin/sh -c ln -s "$CONDA_PREFIX/lib/libnvrtc.so.11.8.89" "$CONDA_PREFIX/lib/libnvrtc.so"
                        
# 2023-03-30 08:42:18  7.39GB 
/bin/sh -c micromamba create -qy -n base -f /app/conda-linux-64.lock  && rm /app/conda-linux-64.lock  && micromamba shell init --shell=bash --prefix="$MAMBA_ROOT_PREFIX"  && micromamba clean -qya
                        
# 2023-03-30 08:35:59  19.38KB 
/bin/sh -c #(nop) COPY file:30e4af62a6d53fce483d6f576149305d8018946225cf73754d2e16a98136e907 in /app/conda-linux-64.lock 
                        
# 2023-03-30 08:35:57  0.00B 
/bin/sh -c #(nop)  ENV MAMBA_EXE=/usr/local/bin/micromamba MAMBA_ROOT_PREFIX=/home/user/micromamba CONDA_PREFIX=/home/user/micromamba PATH=/home/user/micromamba/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-03-30 08:35:57  14.55MB 
/bin/sh -c curl -sL https://micro.mamba.pm/api/micromamba/linux-64/1.1.0   | sudo tar -xvj -C /usr/local bin/micromamba
                        
# 2023-03-30 08:35:52  4.80KB 
/bin/sh -c mkdir $HOME/.cache $HOME/.config  && chmod -R 777 $HOME
                        
# 2023-03-30 08:35:51  0.00B 
/bin/sh -c #(nop)  ENV HOME=/home/user
                        
# 2023-03-30 08:35:50  0.00B 
/bin/sh -c #(nop)  USER user
                        
# 2023-03-30 08:35:49  28.00B 
/bin/sh -c echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user
                        
# 2023-03-30 08:35:48  333.84KB 
/bin/sh -c adduser --disabled-password --gecos '' --shell /bin/bash user  && chown -R user:user /app
                        
# 2023-03-30 08:35:47  0.00B 
/bin/sh -c #(nop) WORKDIR /app
                        
# 2023-03-30 08:35:46  0.00B 
/bin/sh -c mkdir /app
                        
# 2023-03-30 08:35:45  74.78MB 
/bin/sh -c apt-get update && apt-get install -y     curl     ca-certificates     sudo     git     bzip2     libx11-6  && rm -rf /var/lib/apt/lists/*
                        
# 2023-03-30 08:35:29  0.00B 
/bin/sh -c rm -f /etc/apt/sources.list.d/*.list
                        
# 2023-02-02 13:29:24  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-02-02 13:29:24  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-02-02 13:29:24  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-02-02 13:29:24  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-02-02 13:29:24  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-02-02 13:29:24  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2023-02-02 13:29:24  150.66MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-02-02 13:29:13  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
                        
# 2023-02-02 13:29:13  10.51MB 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 -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-02-02 13:29:13  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-02-02 13:29:13  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-02-02 13:29:13  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
                        
# 2023-02-02 13:29:13  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
                        
# 2023-02-02 13:29:13  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
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
                        
# 2023-02-02 13:29:13  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-01-26 12:58:02  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-01-26 12:58:02  77.81MB 
/bin/sh -c #(nop) ADD file:18e71f049606f6339ce7a995839623f50e6ec6474bfd0a3a7ca799db726f47f6 in / 
                        
# 2023-01-26 12:58:00  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-01-26 12:58:00  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-01-26 12:57:59  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-01-26 12:57:59  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Parent": "",
    "Comment": "",
    "Created": "2025-12-05T07:50:47.450304112Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "user",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "33/tcp": {},
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/home/user/micromamba/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=11.8 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=geforce,driver\u003e=510,driver\u003c511 brand=geforcertx,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=tesla,driver\u003e=515,driver\u003c516 brand=unknown,driver\u003e=515,driver\u003c516 brand=nvidia,driver\u003e=515,driver\u003c516 brand=nvidiartx,driver\u003e=515,driver\u003c516 brand=geforce,driver\u003e=515,driver\u003c516 brand=geforcertx,driver\u003e=515,driver\u003c516 brand=quadro,driver\u003e=515,driver\u003c516 brand=quadrortx,driver\u003e=515,driver\u003c516 brand=titan,driver\u003e=515,driver\u003c516 brand=titanrtx,driver\u003e=515,driver\u003c516",
            "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/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "HOME=/home/user",
            "MAMBA_EXE=/usr/local/bin/micromamba",
            "MAMBA_ROOT_PREFIX=/home/user/micromamba",
            "CONDA_PREFIX=/home/user/micromamba"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "desktop.docker.io/binds/0/Source": "/home/aur/Track1-WSSSeg/",
            "desktop.docker.io/binds/0/SourceKind": "wsl2DistroFile",
            "desktop.docker.io/binds/0/Target": "/workspace/Track1-WSSSeg",
            "desktop.docker.io/ports.scheme": "v2",
            "desktop.docker.io/wsl-distro": "archlinux",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
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    "Architecture": "amd64",
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        ]
    },
    "Metadata": {
        "LastTagTime": "2025-12-06T00:33:12.767833467+08:00"
    }
}

更多版本

docker.io/printsdfu/paraformer-torch2.0.0:latest

linux/amd64 docker.io12.03GB2025-12-06 00:46
10