NVIDIA
NVIDIA
NVIDIA L4T ML
Container
NVIDIA
NVIDIA
NVIDIA L4T ML

Get started on your AI journey quickly on Jetson. The Machine learning container contains TensorFlow, PyTorch, JupyterLab, and other popular ML and data science frameworks such as scikit-learn, scipy, and Pandas pre-installed in a Python environment.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CONFIG
a2867cc550291498e550f136623f4d59f8329867124ef9257c75dfc3fe883220RUN
python3 -c "from notebook.auth.security import set_password; set_password('nvidia', '/root/.jupyter/jupyter_notebook_config.json')"
04/10/2020 5:03 AM UTC
0ecbd10e8f32774a4210c4c4d97849c15e721aa3e153bb01ed9823577c9a02d4RUN
jupyter lab --generate-config
04/10/2020 5:03 AM UTC
bf938a318affbf0e9763569164f969153d403824defd38f958f5aaa473226e38RUN
pip3 install jupyter jupyterlab --verbose
04/10/2020 5:02 AM UTC
caf76120149503e753d57a60ac2f58261386d2b80a2009b3d6489da7e843ef9eRUN
pip3 install pycuda --verbose
04/10/2020 4:57 AM UTC
7b7a4887620365e71591e044395670ffbf2cb255d8d9061cfabdf6fa5e51f652RUN
echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
04/10/2020 4:57 AM UTC
15500e7851500868eb9085be44c730ceb738c3b6425b370b646307454c6efce1ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
04/10/2020 4:57 AM UTC
b28e465a05de5eb80daf01e3c6ffac3a549181e25e96fa4ca2691c2584f5bdeeENV
PATH=/usr/local/cuda/bin:/usr/local/cuda-10.2/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
04/10/2020 4:57 AM UTC
ab2195217fe14887bd1dcb46c61b921c8acbb228188a8da352c88813d01b598eRUN
pip3 install 'pillow<7'
04/10/2020 4:57 AM UTC
16a29349614c53c1b98e7a1f67e3dbb479f92c72642fb5fcaeaa4d4dafd9892aRUN
pip3 install pandas --verbose
04/10/2020 4:56 AM UTC