docker.io/dustynv/l4t-pytorch:r36.2.0 linux/arm64

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/dustynv/l4t-pytorch:r36.2.0-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/l4t-pytorch:r36.2.0-linuxarm64  docker.io/dustynv/l4t-pytorch:r36.2.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/l4t-pytorch:r36.2.0-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/l4t-pytorch:r36.2.0-linuxarm64  docker.io/dustynv/l4t-pytorch:r36.2.0

Shell快速替换命令

sed -i 's#dustynv/l4t-pytorch:r36.2.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/l4t-pytorch:r36.2.0-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/l4t-pytorch:r36.2.0-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/l4t-pytorch:r36.2.0-linuxarm64  docker.io/dustynv/l4t-pytorch:r36.2.0'

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/l4t-pytorch:r36.2.0-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/l4t-pytorch:r36.2.0-linuxarm64  docker.io/dustynv/l4t-pytorch:r36.2.0'

镜像构建历史

# 2024-05-16 21:44:47  4.80MB 
|1 PYCUDA_VERSION=main /bin/sh -c pip3 install --no-cache-dir pycuda || /tmp/build_pycuda.sh
                        
# 2024-05-16 21:44:43  529.00B 
/bin/sh -c #(nop) COPY file:d6758d0eaabb595bdd6f62189dd0fa87da1d7d64b5efddc308548aebb8919c5b in /tmp/build_pycuda.sh 
                        
# 2024-05-16 21:44:43  0.00B 
/bin/sh -c #(nop)  ARG PYCUDA_VERSION
                        
# 2024-05-16 21:44:39  895.08MB 
|4 CUDA_ARCH_BIN=8.7 FORCE_BUILD=off OPENCV_PYTHON=4.x OPENCV_VERSION=4.8.1 /bin/sh -c cd /tmp/opencv &&     ./install_deps.sh &&     ./install_pip.sh ||     ./install_deb.sh ||     ./build.sh
                        
# 2024-05-16 21:42:25  8.58KB 
/bin/sh -c #(nop) COPY multi:33cc7dfd47d41f2cd029f44a869ff770c9e6760e5f629f323d8e1d66baf35ff7 in /tmp/opencv/ 
                        
# 2024-05-16 21:42:25  0.00B 
/bin/sh -c #(nop)  ARG OPENCV_VERSION OPENCV_PYTHON OPENCV_URL CUDA_ARCH_BIN FORCE_BUILD=off
                        
# 2024-05-16 21:40:58  70.84KB 
/bin/sh -c pip3 show torch2trt && python3 -c 'import torch2trt'
                        
# 2024-05-16 21:40:54  9.91MB 
/bin/sh -c cd /opt &&     git clone --depth=1 https://github.com/NVIDIA-AI-IOT/torch2trt &&     cd torch2trt &&     pip3 install --verbose . &&     sed 's|^set(CUDA_ARCHITECTURES.*|#|g' -i CMakeLists.txt &&     cmake -B build -DCUDA_ARCHITECTURES=${CUDA_ARCHITECTURES} . &&     cmake --build build --target install &&     ldconfig &&     pip3 install --no-cache-dir --verbose nvidia-pyindex &&     pip3 install --no-cache-dir --verbose onnx-graphsurgeon
                        
# 2024-05-16 21:40:23  357.00B 
/bin/sh -c #(nop) ADD 455a4061c61d13ed2acf4136adbd717b272ab7dec05f66924d9977b1501900b4 in /tmp/torch2trt_version.json 
                        
# 2024-05-16 21:40:20  2.31GB 
|3 TENSORRT_DEB=nv-tensorrt-local-repo-l4t-8.6.2-cuda-12.2 TENSORRT_PACKAGES=tensorrt tensorrt-libs python3-libnvinfer-dev TENSORRT_URL=https://nvidia.box.com/shared/static/hmwr57hm88bxqrycvlyma34c3k4c53t9.deb /bin/sh -c set -ex &&     echo "Downloading ${TENSORRT_DEB}" &&     mkdir -p /tmp/tensorrt &&     cd /tmp/tensorrt &&     wget --quiet --show-progress --progress=bar:force:noscroll ${TENSORRT_URL} &&     dpkg -i *.deb &&     cp /var/nv-tensorrt-local-repo-*/nv-tensorrt-local-*-keyring.gpg /usr/share/keyrings/ &&     apt-get update &&     apt-cache search tensorrt &&     apt-get install -y --no-install-recommends ${TENSORRT_PACKAGES} &&         rm -rf /var/lib/apt/lists/* &&     apt-get clean &&     dpkg --list | grep tensorrt &&     dpkg -P ${TENSORRT_DEB} &&     rm -rf /tmp/tensorrt
                        
# 2024-05-16 21:38:28  0.00B 
/bin/sh -c #(nop)  ARG TENSORRT_URL TENSORRT_DEB TENSORRT_PACKAGES
                        
# 2024-05-16 21:38:24  11.31MB 
|2 FORCE_BUILD=off TORCHAUDIO_VERSION=2.2.2 /bin/sh -c /tmp/torchaudio/install.sh || /tmp/torchaudio/build.sh
                        
# 2024-05-16 21:38:19  1.05KB 
/bin/sh -c #(nop) COPY multi:90ab5efa72b07cf4f24b03da729b8bc51faab9966794868d3115c3c5ff0fc9e6 in /tmp/torchaudio/ 
                        
# 2024-05-16 21:38:19  0.00B 
/bin/sh -c #(nop)  ARG TORCHAUDIO_VERSION FORCE_BUILD=off
                        
# 2024-05-11 09:59:48  25.10MB 
|1 TORCHVISION_VERSION=0.17.2 /bin/sh -c pip3 install --no-cache-dir torchvision==${TORCHVISION_VERSION} || /tmp/build_torchvision.sh
                        
# 2024-05-11 09:59:44  3.88MB 
|1 TORCHVISION_VERSION=0.17.2 /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends         libjpeg-dev         libpng-dev         zlib1g-dev 	&& rm -rf /var/lib/apt/lists/* 	&& apt-get clean
                        
# 2024-05-11 09:59:35  601.00B 
/bin/sh -c #(nop) COPY file:fc8a4baff24d1e1d7aadb19d3d2e9b4b78b74ae61915ed2f42309dbb42d61c93 in /tmp/build_torchvision.sh 
                        
# 2024-05-11 09:59:34  0.00B 
/bin/sh -c #(nop)  ARG TORCHVISION_VERSION
                        
# 2024-05-11 09:59:29  929.84MB 
|4 FORCE_BUILD=off PYTORCH_BUILD_VERSION=2.2.0 TORCH_CUDA_ARCH_ARGS=8.7 TORCH_VERSION=2.2 /bin/sh -c /tmp/pytorch/install.sh || /tmp/pytorch/build.sh
                        
# 2024-05-11 09:57:24  2.55KB 
/bin/sh -c #(nop) COPY multi:76e62db2e0c92ddade98630a7ae8e1d7d7490cf06eaf16991b193a5dba12cd5d in /tmp/pytorch/ 
                        
# 2024-05-11 09:57:24  0.00B 
/bin/sh -c #(nop)  ENV TORCH_CUDA_ARCH_LIST=8.7 TORCH_HOME=/data/models/torch
                        
# 2024-05-11 09:57:23  0.00B 
/bin/sh -c #(nop)  ARG TORCH_CUDA_ARCH_ARGS TORCH_VERSION PYTORCH_BUILD_VERSION FORCE_BUILD=off
                        
# 2024-04-12 11:17:38  34.33MB 
|1 ONNX_VERSION=main /bin/sh -c pip3 install --no-cache-dir --verbose onnx ||     pip3 install --no-cache-dir --verbose git+https://github.com/onnx/onnx@${ONNX_VERSION} &&     pip3 show onnx &&     python3 -c 'import onnx; print(onnx.__version__)'
                        
# 2024-04-12 11:17:25  0.00B 
/bin/sh -c #(nop)  ARG ONNX_VERSION
                        
# 2024-04-12 11:17:25  60.71MB 
/bin/sh -c set -ex     && pip3 install --upgrade --force-reinstall --no-cache-dir --verbose cmake         && cmake --version     && which cmake
                        
# 2024-04-12 11:17:15  56.19MB 
/bin/sh -c pip3 install --upgrade --no-cache-dir --verbose numpy &&     pip3 show numpy && python3 -c 'import numpy; print(numpy.__version__)'
                        
# 2024-04-10 22:44:00  0.00B 
/bin/sh -c #(nop)  ENV OPENBLAS_CORETYPE=ARMV8
                        
# 2024-04-08 02:32:14  68.67MB 
|1 PYTHON_VERSION_ARG=3.10 /bin/sh -c /tmp/install_python.sh
                        
# 2024-04-08 02:31:28  1.43KB 
/bin/sh -c #(nop) COPY file:3c6ac14b542e3c363b5fc1cf092f8d51921c5430be5c369498a3f1ebf38eadd5 in /tmp/install_python.sh 
                        
# 2024-04-08 02:31:28  0.00B 
/bin/sh -c #(nop)  ENV PYTHON_VERSION=3.10 PIP_DISABLE_PIP_VERSION_CHECK=on PIP_DEFAULT_TIMEOUT=100 PYTHONFAULTHANDLER=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=utf-8 PYTHONHASHSEED=random PIP_NO_CACHE_DIR=off PIP_CACHE_PURGE=true PIP_ROOT_USER_ACTION=ignore TWINE_NON_INTERACTIVE=1 DEBIAN_FRONTEND=noninteractive
                        
# 2024-04-08 02:31:27  0.00B 
/bin/sh -c #(nop)  ARG PYTHON_VERSION_ARG
                        
# 2024-04-08 02:31:26  637.90KB 
|3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2204-8.9.4.25 CUDNN_PACKAGES=libcudnn*-dev libcudnn*-samples CUDNN_URL=https://nvidia.box.com/shared/static/ht4li6b0j365ta7b76a6gw29rk5xh8cy.deb /bin/sh -c cd /usr/src/cudnn_samples_v*/conv_sample/ &&     make -j$(nproc)
                        
# 2024-04-08 02:31:08  2.73GB 
|3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2204-8.9.4.25 CUDNN_PACKAGES=libcudnn*-dev libcudnn*-samples CUDNN_URL=https://nvidia.box.com/shared/static/ht4li6b0j365ta7b76a6gw29rk5xh8cy.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-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
                        
# 2024-04-08 02:28:53  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_PACKAGES
                        
# 2024-04-08 02:28:53  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_DEB
                        
# 2024-04-08 02:28:53  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_URL
                        
# 2024-04-08 02:28:52  0.00B 
/bin/sh -c #(nop) WORKDIR /
                        
# 2024-04-08 02:28:52  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: TAR_INDEX_URL=http://jetson.webredirect.org:8000/jp6/cu122 PIP_INDEX_URL=http://jetson.webredirect.org/jp6/cu122 PIP_TRUSTED_HOST=jetson.webredirect.org TWINE_REPOSITORY_URL=http://jao-51/jp6/cu122 TWINE_USERNAME=jp6 TWINE_PASSWORD=NvidiaJetson24 SCP_UPLOAD_URL=jao-51:/dist/jp6/cu122 SCP_UPLOAD_USER=nvidia SCP_UPLOAD_PASS=nvidia DEBIAN_FRONTEND=noninteractive
                        
# 2024-04-08 02:28:52  0.00B 
/bin/sh -c #(nop)  ENV NVCC_PATH=/usr/local/cuda/bin/nvcc
                        
# 2024-04-08 02:28:52  0.00B 
/bin/sh -c #(nop)  ENV CUDA_HOME=/usr/local/cuda
                        
# 2024-04-08 02:28:48  5.88GB 
|14 CUDA_ARCH_LIST=87 CUDA_DEB=cuda-tegra-repo-ubuntu2204-12-2-local CUDA_PACKAGES=cuda-toolkit* CUDA_URL=https://nvidia.box.com/shared/static/uvqtun1sc0bq76egarc8wwuh6c23e76e.deb DISTRO=ubuntu2204 PIP_INDEX_REPO=http://jetson.webredirect.org/jp6/cu122 PIP_TRUSTED_HOSTS=jetson.webredirect.org PIP_UPLOAD_PASS=NvidiaJetson24 PIP_UPLOAD_REPO=http://jao-51/jp6/cu122 PIP_UPLOAD_USER=jp6 SCP_UPLOAD_PASS=nvidia SCP_UPLOAD_URL=jao-51:/dist/jp6/cu122 SCP_UPLOAD_USER=nvidia TAR_INDEX_URL=http://jetson.webredirect.org:8000/jp6/cu122 /bin/sh -c /tmp/install_cuda.sh
                        
# 2024-04-08 02:24:05  894.00B 
/bin/sh -c #(nop) COPY file:4688f070ce9fd499963f7be4fc8a47addb43e87261c4168cebeebf5923452502 in /tmp/install_cuda.sh 
                        
# 2024-04-08 02:24:04  0.00B 
/bin/sh -c #(nop)  ARG CUDA_URL CUDA_DEB CUDA_PACKAGES CUDA_ARCH_LIST 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 DISTRO=ubuntu2004
                        
# 2024-04-08 02:24:04  1.77KB 
/bin/sh -c #(nop) COPY file:c151096ecdec41c0e751df4f9131773ddaf0b0074b72388cc344129a04329635 in /usr/local/bin/ 
                        
# 2024-04-07 11:56:12  672.07MB 
/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         gdb         wget         curl         nano         zip         unzip         time 	   sshpass 	   ssh-client     && apt-get clean     && rm -rf /var/lib/apt/lists/*         && gcc --version     && g++ --version
                        
# 2024-03-11 23:46:13  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
                        
# 2023-10-05 15:32:22  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:32:22  69.19MB 
/bin/sh -c #(nop) ADD file:f8594e26831508c318e42c8dfd9942041031087b8de1bf3fec11fd75b8b30fd4 in / 
                        
# 2023-10-05 15:32:21  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:32:21  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:32:21  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:32:20  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/l4t-pytorch:r36.2.0-linuxarm64"
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    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "",
    "Created": "2024-05-16T13:44:47.820860663Z",
    "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=/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",
            "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:",
            "TAR_INDEX_URL=http://jetson.webredirect.org:8000/jp6/cu122",
            "PIP_INDEX_URL=http://jetson.webredirect.org/jp6/cu122",
            "PIP_TRUSTED_HOST=jetson.webredirect.org",
            "TWINE_REPOSITORY_URL=http://jao-51/jp6/cu122",
            "TWINE_USERNAME=jp6",
            "TWINE_PASSWORD=NvidiaJetson24",
            "SCP_UPLOAD_URL=jao-51:/dist/jp6/cu122",
            "SCP_UPLOAD_USER=nvidia",
            "SCP_UPLOAD_PASS=nvidia",
            "PYTHON_VERSION=3.10",
            "PIP_DISABLE_PIP_VERSION_CHECK=on",
            "PIP_DEFAULT_TIMEOUT=100",
            "PYTHONFAULTHANDLER=1",
            "PYTHONUNBUFFERED=1",
            "PYTHONIOENCODING=utf-8",
            "PYTHONHASHSEED=random",
            "PIP_NO_CACHE_DIR=off",
            "PIP_CACHE_PURGE=true",
            "PIP_ROOT_USER_ACTION=ignore",
            "TWINE_NON_INTERACTIVE=1",
            "OPENBLAS_CORETYPE=ARMV8",
            "TORCH_CUDA_ARCH_LIST=8.7",
            "TORCH_HOME=/data/models/torch"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "sha256:e38275f0e2f969079190f9d87478bf61b36c368bd08dd7291239e4a8afa5baad",
        "Volumes": null,
        "WorkingDir": "/",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
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    },
    "Architecture": "arm64",
    "Variant": "v8",
    "Os": "linux",
    "Size": 13756270089,
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