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NVIDIA
Clara Train SDK
Container
NVIDIA
NVIDIA
Clara Train SDK

This domain optimized developer application framework is based on the open source SDKs of MONAI and NVIDIA FLARE. It brings ease of use and a simple CLI-based interface, allowing to quickly get started with annotating, training, and adapting AI models.

LayerLabelCreated
51d7be1dfc8470208c75ba0b9ae6fc62b1e5c9a49f87ca88c6fa70a6136f0608RUN
|1
12/02/2020 6:57 PM UTC
884a67fb2b16785a25cec71d681195f8c58a0b01af4829eab4dcc76c364b0b88WORKDIR
/opt/nvidia
12/02/2020 6:56 PM UTC
fc63a0cd5ee21c88cfe8b85c4872fb54972197ea86a6e51089441d27522725b1ENV
DOCKER_IMAGE_TAG=v3.1.01
12/02/2020 6:56 PM UTC
cca1065818f4e34ca2cc3335b85011e0b623564b4dc4ca64e8721d33bfebf163ENV
PATH=/opt/nvidia/medical/nvmidl/apps/aas:/opt/nvidia/medical/tools:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin:/opt/tritonserver/bin
12/02/2020 6:56 PM UTC
99f925e1e21fdfe0dc8cdf8d37e2ed997fa3354ec55a8c98e5cc21c529298627ENV
PYTHONPATH=:/opt/nvidia/medical
12/02/2020 6:56 PM UTC
8125cf30203c205bcf40068fd65b6da0e7704e01ee8fce93e5ead39f4ceac3e4RUN
DEST_DIR=/opt/nvidia/medical DOCKER_IMAGE_TAG=v3.1.01 echo export PYTHONPATH=\$PYTHONPATH:/opt/nvidia/medical >> /etc/profile.d/nvida.aiaa.sh &&
  echo export PATH=\$PATH:/opt/nvidia/medical/tools:/opt/nvidia/medical/nvmidl/apps/aas:/opt/tritonserver/bin >> /etc/profile.d/nvida.aiaa.sh &&
  sed -i "s/80/5000/g" /etc/apache2/ports.conf /etc/apache2/sites-available/AIAA.conf &&
  sed -i "s/443/5001/g" /etc/apache2/ports.conf /etc/apache2/sites-available/AIAA-ssl.conf &&
  a2ensite AIAA
12/02/2020 6:56 PM UTC
2086d0c98d3abe648d296b0f2e1caaf045d2c1479df8be380e0b3895d7c361b8ADD
file:7ae97313ac836b8cdb251196e01fcd866af2de35082ea58b7aeb989542c4ba78 in /etc/apache2/sites-available/AIAA-ssl.conf
12/02/2020 6:56 PM UTC
e86fa7c84f47fe145466fe9e9492c04b4c8926df26503b6cacacbd760a01f010ADD
file:b1d740bc462a10cc01677dc3e880b5f0897611462a19a4cadb4a39922b611489 in /etc/apache2/sites-available/AIAA.conf
12/02/2020 6:56 PM UTC
ac50c933ed53e5a70cd93014619caed45e50ea5e37a311d233a169212c32219aRUN
DEST_DIR=/opt/nvidia/medical DOCKER_IMAGE_TAG=v3.1.01 a2dissite 000-default &&
  rm -rf /etc/apache2/sites-available/000-default.conf &&
  a2dissite default-ssl &&
  rm -rf /etc/apache2/sites-available/default-ssl.conf
12/02/2020 6:56 PM UTC
2a24f5e3fb54a3821681df33d795936ac01b9118f6080e1f0d62ed53158d56c3RUN
DEST_DIR=/opt/nvidia/medical DOCKER_IMAGE_TAG=v3.1.01 python -m pip install cryptography pyyaml rich
12/02/2020 6:56 PM UTC
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