docker.io/dustynv/jupyterlab:r36.4.0 linux/arm64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jupyterlab:r36.4.0-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jupyterlab:r36.4.0-linuxarm64  docker.io/dustynv/jupyterlab:r36.4.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jupyterlab:r36.4.0-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jupyterlab:r36.4.0-linuxarm64  docker.io/dustynv/jupyterlab:r36.4.0

Shell快速替换命令

sed -i 's#dustynv/jupyterlab:r36.4.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jupyterlab:r36.4.0-linuxarm64#' 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/dustynv/jupyterlab:r36.4.0-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jupyterlab:r36.4.0-linuxarm64  docker.io/dustynv/jupyterlab:r36.4.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jupyterlab:r36.4.0-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jupyterlab:r36.4.0-linuxarm64  docker.io/dustynv/jupyterlab:r36.4.0'

镜像构建历史

# 2025-03-11 03:06:17  0.00B 
/bin/bash -c #(nop)  CMD ["/bin/bash" "-c" "/start_jupyter && /bin/bash"]
                        
# 2025-03-11 03:06:17  1.39KB 
/bin/bash -c #(nop) COPY file:46a092ced0ef1d819fe4936609ee2b169f81637f2e94ab017f4346e1f630504b in / 
                        
# 2025-03-11 02:57:15  168.00B 
/bin/bash -c #(nop) COPY file:d81d20788eb20eeaa8484ca956779468cbd8d5b55a7fe43977656fa3eb013a73 in /root/.jupyter/ 
                        
# 2025-03-11 02:57:15  103.63KB 
|1 JUPYTERLAB_VERSION_SPEC= /bin/bash -c jupyter lab --version && jupyter lab --generate-config
                        
# 2025-03-11 02:57:12  62.56KB 
|1 JUPYTERLAB_VERSION_SPEC= /bin/bash -c jupyter labextension list
                        
# 2025-03-11 02:57:10  62.53KB 
|1 JUPYTERLAB_VERSION_SPEC= /bin/bash -c jupyter --version
                        
# 2025-03-11 02:57:08  62.53KB 
|1 JUPYTERLAB_VERSION_SPEC= /bin/bash -c pip3 list
                        
# 2025-03-11 02:57:06  213.59MB 
|1 JUPYTERLAB_VERSION_SPEC= /bin/bash -c pip3 install jupyter "jupyterlab${JUPYTERLAB_VERSION_SPEC}" &&     pip3 install jupyterlab_widgets
                        
# 2025-03-11 02:56:35  65.66KB 
|1 JUPYTERLAB_VERSION_SPEC= /bin/bash -c sed -i 's/^#force_color_prompt=yes/force_color_prompt=yes/' /root/.bashrc
                        
# 2025-03-11 01:59:07  0.00B 
/bin/bash -c #(nop)  SHELL [/bin/bash -c]
                        
# 2025-03-11 01:59:07  0.00B 
/bin/sh -c #(nop)  ENV SHELL=/bin/bash
                        
# 2025-03-11 01:59:07  0.00B 
/bin/sh -c #(nop)  ARG JUPYTERLAB_VERSION_SPEC=
                        
# 2025-03-11 01:59:07  300.00KB 
/bin/sh -c rustc --version &&     pip3 install setuptools-rust
                        
# 2025-03-11 01:59:05  0.00B 
/bin/sh -c #(nop)  ENV PATH=/root/.cargo/bin:/opt/venv/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-03-11 01:59:03  1.43GB 
/bin/sh -c curl https://sh.rustup.rs -sSf | sh -s -- -y
                        
# 2025-03-11 01:58:08  4.86MB 
|1 PYCUDA_VERSION=main /bin/sh -c pip3 install pycuda || /tmp/build_pycuda.sh
                        
# 2025-03-11 01:58:05  504.00B 
/bin/sh -c #(nop) COPY file:40a9513007baf7fe77ee1a220893479229719b609cc7c4846f0b3de1f13c49d5 in /tmp/build_pycuda.sh 
                        
# 2025-03-11 01:58:05  0.00B 
/bin/sh -c #(nop)  ARG PYCUDA_VERSION
                        
# 2025-03-11 01:58:03  136.57MB 
|2 CUDA_PYTHON_VERSION=12.6.0 FORCE_BUILD=off /bin/sh -c /tmp/cuda-python/install.sh || /tmp/cuda-python/build.sh
                        
# 2025-03-11 01:57:59  804.00B 
/bin/sh -c #(nop) COPY multi:6fa720424732a5a5fa0e8bf1b905468965b3242ade369ca0b5ddf883b056bc8f in /tmp/cuda-python/ 
                        
# 2025-03-11 01:57:59  0.00B 
/bin/sh -c #(nop)  ARG CUDA_PYTHON_VERSION FORCE_BUILD=off
                        
# 2025-03-11 01:57:58  56.19MB 
/bin/sh -c bash /tmp/numpy/install.sh
                        
# 2025-03-11 01:57:51  482.00B 
/bin/sh -c #(nop) COPY file:072fcadd219a626de2989993463b8ff0dd9cafdda9fb38f983ba7e9edee93314 in /tmp/numpy/ 
                        
# 2025-03-11 01:57:51  0.00B 
/bin/sh -c #(nop)  ENV NUMPY_PACKAGE=numpy<2
                        
# 2025-03-11 01:57:51  0.00B 
/bin/sh -c #(nop)  ARG NUMPY_PACKAGE=numpy
                        
# 2025-03-11 01:57:51  0.00B 
/bin/sh -c #(nop)  ENV OPENBLAS_CORETYPE=ARMV8
                        
# 2025-03-11 01:57:49  1.09GB 
|1 TENSORRT_URL=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.4.0/tars/TensorRT-10.4.0.26.l4t.aarch64-gnu.cuda-12.6.tar.gz /bin/sh -c cd /tmp/tensorrt &&     cp -r /usr/src/tensorrt/lib/* /usr/lib/$(uname -m)-linux-gnu/ &&     cp -r /usr/src/tensorrt/include/* /usr/include/$(uname -m)-linux-gnu/ &&     PY_VERSION=$(python3 -c 'import sys; print(f"{sys.version_info.major}{sys.version_info.minor}")') &&     pip3 install /usr/src/tensorrt/python/tensorrt-*-cp${PY_VERSION}-*.whl &&     rm -rf /tmp/tensorrt
                        
# 2025-03-11 01:57:37  1.96GB 
|1 TENSORRT_URL=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.4.0/tars/TensorRT-10.4.0.26.l4t.aarch64-gnu.cuda-12.6.tar.gz /bin/sh -c set -ex &&     echo "Downloading ${TENSORRT_URL}" &&     mkdir -p /tmp/tensorrt &&     cd /tmp/tensorrt &&     wget --quiet --show-progress --progress=bar:force:noscroll ${TENSORRT_URL} -O TensorRT.tar &&     tar -xvf TensorRT.tar -C /usr/src &&     mv /usr/src/TensorRT-* /usr/src/tensorrt
                        
# 2025-03-11 01:57:01  0.00B 
/bin/sh -c #(nop)  ARG TENSORRT_URL
                        
# 2025-03-10 23:38:23  100.33MB 
|1 PYTHON_VERSION_ARG=3.10 /bin/sh -c /tmp/install_python.sh
                        
# 2025-03-10 23:37:38  1.88KB 
/bin/sh -c #(nop) COPY file:b987f597598ab56864319c6d855e337345153d2fb2c42a4136067e5fb8b60c03 in /tmp/install_python.sh 
                        
# 2025-03-10 23:37:38  0.00B 
/bin/sh -c #(nop)  ENV PYTHON_VERSION=3.10 PYTHONFAULTHANDLER=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=utf-8 PYTHONHASHSEED=random PIP_NO_CACHE_DIR=true PIP_CACHE_PURGE=true PIP_ROOT_USER_ACTION=ignore PIP_DISABLE_PIP_VERSION_CHECK=on PIP_DEFAULT_TIMEOUT=100 PIP_WHEEL_DIR=/opt/wheels PIP_VERBOSE=3 TWINE_NON_INTERACTIVE=1 DEBIAN_FRONTEND=noninteractive PATH=/opt/venv/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-03-10 23:37:38  0.00B 
/bin/sh -c #(nop)  ARG PYTHON_VERSION_ARG
                        
# 2025-03-10 23:37:37  656.96KB 
|3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2204-9.3.0 CUDNN_PACKAGES=libcudnn*-dev libcudnn*-samples CUDNN_URL=https://developer.download.nvidia.com/compute/cudnn/9.3.0/local_installers/cudnn-local-tegra-repo-ubuntu2204-9.3.0_1.0-1_arm64.deb /bin/sh -c cd /usr/src/cudnn_samples_v*/conv_sample/ &&     make -j$(nproc)
                        
# 2025-03-10 23:37:25  1.01GB 
|3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2204-9.3.0 CUDNN_PACKAGES=libcudnn*-dev libcudnn*-samples CUDNN_URL=https://developer.download.nvidia.com/compute/cudnn/9.3.0/local_installers/cudnn-local-tegra-repo-ubuntu2204-9.3.0_1.0-1_arm64.deb /bin/sh -c echo "Downloading ${CUDNN_DEB}" &&     mkdir /tmp/cudnn && cd /tmp/cudnn &&     wget --quiet --show-progress --progress=bar:force:noscroll ${CUDNN_URL} &&     dpkg -i *.deb &&     cp /var/cudnn-local-tegra-repo-*/cudnn-local-tegra-*-keyring.gpg /usr/share/keyrings/ &&     apt-get update &&     apt-cache search cudnn &&     apt list --installed | grep 'cuda\|cudnn\|cublas' &&     apt-get install -y --no-install-recommends ${CUDNN_PACKAGES} &&     rm -rf /var/lib/apt/lists/* &&     apt-get clean &&     dpkg --list | grep cudnn &&     dpkg -P ${CUDNN_DEB} &&     rm -rf /tmp/cudnn
                        
# 2025-03-10 23:36:03  55.43MB 
|3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2204-9.3.0 CUDNN_PACKAGES=libcudnn*-dev libcudnn*-samples CUDNN_URL=https://developer.download.nvidia.com/compute/cudnn/9.3.0/local_installers/cudnn-local-tegra-repo-ubuntu2204-9.3.0_1.0-1_arm64.deb /bin/sh -c ls /etc/apt/sources.list.d/ &&     apt-get update &&     apt-cache search cudnn
                        
# 2025-02-02 13:54:08  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_PACKAGES
                        
# 2025-02-02 13:54:08  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_DEB
                        
# 2025-02-02 13:54:08  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_URL
                        
# 2025-02-02 13:54:08  0.00B 
/bin/sh -c #(nop) WORKDIR /
                        
# 2025-02-02 13:54:07  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=all CUDAARCHS=87 CUDA_ARCHITECTURES=87 CUDA_HOME=/usr/local/cuda CUDNN_LIB_PATH=/usr/lib/aarch64-linux-gnu CUDNN_LIB_INCLUDE_PATH=/usr/include CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc CUDA_NVCC_EXECUTABLE=/usr/local/cuda/bin/nvcc CUDACXX=/usr/local/cuda/bin/nvcc TORCH_NVCC_FLAGS=-Xfatbin -compress-all CUDA_BIN_PATH=/usr/local/cuda/bin CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/cuda/compat:/usr/local/cuda/lib64: DEBIAN_FRONTEND=noninteractive
                        
# 2025-02-02 13:54:07  0.00B 
/bin/sh -c #(nop)  ENV NVCC_PATH=/usr/local/cuda/bin/nvcc
                        
# 2025-02-02 13:54:07  0.00B 
/bin/sh -c #(nop)  ENV CUDA_HOME=/usr/local/cuda
                        
# 2025-02-02 13:54:06  5.19GB 
|5 CUDA_ARCH_LIST=87 CUDA_DEB=cuda-tegra-repo-ubuntu2204-12-6-local CUDA_PACKAGES=cuda-toolkit* CUDA_URL=https://developer.download.nvidia.com/compute/cuda/12.6.3/local_installers/cuda-tegra-repo-ubuntu2204-12-6-local_12.6.3-1_arm64.deb DISTRO=ubuntu2204 /bin/sh -c /tmp/install_cuda.sh
                        
# 2025-02-02 13:49:30  894.00B 
/bin/sh -c #(nop) COPY file:4688f070ce9fd499963f7be4fc8a47addb43e87261c4168cebeebf5923452502 in /tmp/install_cuda.sh 
                        
# 2025-02-02 13:49:30  0.00B 
/bin/sh -c #(nop)  ARG CUDA_URL CUDA_DEB CUDA_PACKAGES CUDA_ARCH_LIST DISTRO=ubuntu2004
                        
# 2025-02-02 13:49:30  0.00B 
/bin/sh -c #(nop)  ENV TAR_INDEX_URL=https://apt.jetson-ai-lab.dev/jp6/cu126 PIP_INDEX_URL=https://pypi.jetson-ai-lab.dev/jp6/cu126 PIP_TRUSTED_HOST= TWINE_REPOSITORY_URL=http://alice:3141/jp6/cu126 TWINE_USERNAME=jp6 TWINE_PASSWORD=NvidiaJetson24 SCP_UPLOAD_URL=jao-51:/dist/jp6/cu126 SCP_UPLOAD_USER=nvidia SCP_UPLOAD_PASS=nvidia
                        
# 2025-01-09 17:12:59  0.00B 
/bin/sh -c #(nop)  ARG PIP_INDEX_REPO PIP_UPLOAD_REPO PIP_UPLOAD_USER PIP_UPLOAD_PASS PIP_TRUSTED_HOSTS TAR_INDEX_URL SCP_UPLOAD_URL SCP_UPLOAD_USER SCP_UPLOAD_PASS
                        
# 2025-01-09 17:12:59  1.77KB 
/bin/sh -c #(nop) COPY file:c151096ecdec41c0e751df4f9131773ddaf0b0074b72388cc344129a04329635 in /usr/local/bin/ 
                        
# 2025-01-09 17:12:58  664.82MB 
/bin/sh -c set -ex     && apt-get update     && apt-get install -y --no-install-recommends         locales         locales-all         tzdata     && locale-gen en_US $LANG     && update-locale LC_ALL=$LC_ALL LANG=$LANG     && locale         && apt-get install -y --no-install-recommends         build-essential         software-properties-common         apt-transport-https         ca-certificates         lsb-release         pkg-config         gnupg         git         git-lfs         gdb         wget         wget2         curl         nano         zip         unzip         time         sshpass         ssh-client     && apt-get clean     && rm -rf /var/lib/apt/lists/*         && gcc --version     && g++ --version
                        
# 2025-01-09 17:11:39  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive LANGUAGE=en_US:en LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8
                        
# 2024-09-12 00:26:06  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-09-12 00:26:06  69.22MB 
/bin/sh -c #(nop) ADD file:53ce73ebbd6d87a234a33414686f12909aaaf28b7238593f746a327c7d004ce7 in / 
                        
# 2024-09-12 00:26:04  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-09-12 00:26:04  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-09-12 00:26:04  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-09-12 00:26:04  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoTags": [
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    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "",
    "Created": "2025-03-10T19:06:17.719917797Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "24.0.7",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/root/.cargo/bin:/opt/venv/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "DEBIAN_FRONTEND=noninteractive",
            "LANGUAGE=en_US:en",
            "LANG=en_US.UTF-8",
            "LC_ALL=en_US.UTF-8",
            "TAR_INDEX_URL=https://apt.jetson-ai-lab.dev/jp6/cu126",
            "PIP_INDEX_URL=https://pypi.jetson-ai-lab.dev/jp6/cu126",
            "PIP_TRUSTED_HOST=",
            "TWINE_REPOSITORY_URL=http://alice:3141/jp6/cu126",
            "TWINE_USERNAME=jp6",
            "TWINE_PASSWORD=NvidiaJetson24",
            "SCP_UPLOAD_URL=jao-51:/dist/jp6/cu126",
            "SCP_UPLOAD_USER=nvidia",
            "SCP_UPLOAD_PASS=nvidia",
            "CUDA_HOME=/usr/local/cuda",
            "NVCC_PATH=/usr/local/cuda/bin/nvcc",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=all",
            "CUDAARCHS=87",
            "CUDA_ARCHITECTURES=87",
            "CUDNN_LIB_PATH=/usr/lib/aarch64-linux-gnu",
            "CUDNN_LIB_INCLUDE_PATH=/usr/include",
            "CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc",
            "CUDA_NVCC_EXECUTABLE=/usr/local/cuda/bin/nvcc",
            "CUDACXX=/usr/local/cuda/bin/nvcc",
            "TORCH_NVCC_FLAGS=-Xfatbin -compress-all",
            "CUDA_BIN_PATH=/usr/local/cuda/bin",
            "CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda",
            "LD_LIBRARY_PATH=/usr/local/cuda/compat:/usr/local/cuda/lib64:",
            "PYTHON_VERSION=3.10",
            "PYTHONFAULTHANDLER=1",
            "PYTHONUNBUFFERED=1",
            "PYTHONIOENCODING=utf-8",
            "PYTHONHASHSEED=random",
            "PIP_NO_CACHE_DIR=true",
            "PIP_CACHE_PURGE=true",
            "PIP_ROOT_USER_ACTION=ignore",
            "PIP_DISABLE_PIP_VERSION_CHECK=on",
            "PIP_DEFAULT_TIMEOUT=100",
            "PIP_WHEEL_DIR=/opt/wheels",
            "PIP_VERBOSE=3",
            "TWINE_NON_INTERACTIVE=1",
            "OPENBLAS_CORETYPE=ARMV8",
            "NUMPY_PACKAGE=numpy\u003c2",
            "SHELL=/bin/bash"
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        "Cmd": [
            "/bin/bash",
            "-c",
            "/start_jupyter \u0026\u0026 /bin/bash"
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        "Image": "sha256:9694e07e16a08510c37f628c33047f9c78136bc2daa35388d74f92382fe93479",
        "Volumes": null,
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        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.ref.name": "ubuntu",
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        "Shell": [
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            "-c"
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    "Architecture": "arm64",
    "Variant": "v8",
    "Os": "linux",
    "Size": 11976302032,
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