NVIDIA
NVIDIA
DLI Getting Started with AI on Jetson Nano
Container
NVIDIA
NVIDIA
DLI Getting Started with AI on Jetson Nano

Course environment for the Deep Learning Institute (DLI) course, "Getting Started with AI on Jetson Nano".

LayerLabelCreated
sha256:684bfc182f211fe214de2df4c507f5dbbe5d1e5237b5bfdebfd88e72621dff6bCONFIG
3108b660d77bcab932ae87028312131e002aa9baf999cc4a90b28e15e157dfecRUN
/bin/bash -c #(nop) WORKDIR /nvdli-nano
05/23/2024 2:33 PM UTC
53be13b035b41cad29548260f0c4e39a9f15d2392a9f87aeb24f6452c7201c29RUN
/bin/bash -c dpkg -i /tmp/libpmix2_4.2.9-1_arm64.deb /tmp/libpmix-dev_4.2.9-1_arm64.deb &&
  apt-get install -f -y &&
  rm -rf /var/lib/apt/lists/* /tmp/*.deb
05/23/2024 2:33 PM UTC
ba92bb3d4a4a46d7d336efc5a3f556ab7311c43341ddc36282dafa223ca37907RUN
/bin/bash -c cd /tmp &&
  wget https://dli-lms.s3.amazonaws.com/assets/s-rx-02-v2/libpmix-dev_4.2.9-1_arm64.deb &&
  wget https://dli-lms.s3.amazonaws.com/assets/s-rx-02-v2/libpmix2_4.2.9-1_arm64.deb
05/23/2024 2:33 PM UTC
486ef63749a223f35b8cf5d4142810e1465888769586e3abb31c605b5f844ab8RUN
/bin/bash -c rm -rf /usr/local/share/.cache
05/22/2024 6:12 PM UTC
17c56bdd1ce498a3e1a912172f592a3edaa32073e646a6730c87b39fe33a3751RUN
/bin/bash -c jupyter lab clean
05/22/2024 6:12 PM UTC
e9873f92685a27c7944d261a74f64c01822ce429c1d576749e8c0867589b7738RUN
/bin/bash -c #(nop) COPY dir:57c2ca71480f2ad4e4c6074cba4577464e67f50cdb1d4049873b8c014b694f46 in /root/.cache/
05/22/2024 6:12 PM UTC
b0fac62f589ec8dd5b9a72d577269dab467520ddcc28b93f6228cab4cfea357eRUN
/bin/bash -c python3 -c "import torchvision;       model = torchvision.models.alexnet(weights='IMAGENET1K_V1');       model = torchvision.models.squeezenet1_1(weights='IMAGENET1K_V1');       model = torchvision.models.resnet18(weights='IMAGENET1K_V1');       model = torchvision.models.resnet34(weights='IMAGENET1K_V1')"
05/22/2024 6:12 PM UTC
63a1823eaa9b21470d55c2692f2b80dfd55b8e234a7c7e9eae66a41ce9042effRUN
/bin/bash -c #(nop) ENV DEBIAN_FRONTEND=noninteractive
05/22/2024 6:09 PM UTC
dfd0cb2c3e6ea87dbbeaff02b5a63503784a93374330cfddb48af19ce532fc88RUN
/bin/bash -c #(nop) CMD ["/bin/bash" "-c" "/bin/bash -c \"jupyter lab --ip 0.0.0.0 --port 8888 --allow-root &> /var/log/jupyter.log\" & \techo \"allow 10 sec for JupyterLab to start @ http://$(hostname -I | cut -d' ' -f1):8888 (password ${JUPYTER_PASSWORD})\" && \techo \"JupterLab logging location:  /var/log/jupyter.log  (inside the container)\" && \t/bin/bash"]
05/22/2024 6:07 PM UTC
...

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