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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
70014eac095414fbd748ae6201a6931f2afd8fd4166be87ba7169c8785d15f85RUN
|1
11/05/2020 12:51 AM UTC
2f057f3aa51dd94ba5f92f544cbba5c81e958427453b9b262868d49f5b8ef659WORKDIR
/opt/nvidia
11/05/2020 12:51 AM UTC
5e994291ae6ada076cb21e73995262a151ccac072bae919a72577a1b95bb8e74ENV
DOCKER_IMAGE_TAG=v3.1-ga-qa-6
11/05/2020 12:51 AM UTC
0febdb103e303b87a2b67fa85c49af19a2357476beeb85c1c98ccd22772231fcENV
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
11/05/2020 12:51 AM UTC
93fb923ef0ec48cc6c44d9d96b753df1c609a6f6282ef5959275329038a32a05ENV
PYTHONPATH=:/opt/nvidia/medical
11/05/2020 12:51 AM UTC
fc1719622fc21355b826b3eeae25d2db27f133661aac45bec65d957f97c2fb28RUN
DEST_DIR=/opt/nvidia/medical DOCKER_IMAGE_TAG=v3.1-ga-qa-6 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
11/05/2020 12:51 AM UTC
f293019516b8891de69aa63bb01a48885f18623eb36bf370223841e5085e48dcADD
file:7ae97313ac836b8cdb251196e01fcd866af2de35082ea58b7aeb989542c4ba78 in /etc/apache2/sites-available/AIAA-ssl.conf
11/05/2020 12:51 AM UTC
86eb36db508519ea7c1d3a412633d71a7874465ed674ef2bcefcec62ce741bd8ADD
file:b1d740bc462a10cc01677dc3e880b5f0897611462a19a4cadb4a39922b611489 in /etc/apache2/sites-available/AIAA.conf
11/05/2020 12:51 AM UTC
286cbb974e941f2e17d65b6c9429e021916c14ae670ac70e87c53fd3c188c2bdRUN
DEST_DIR=/opt/nvidia/medical DOCKER_IMAGE_TAG=v3.1-ga-qa-6 a2dissite 000-default &&
  rm -rf /etc/apache2/sites-available/000-default.conf &&
  a2dissite default-ssl &&
  rm -rf /etc/apache2/sites-available/default-ssl.conf
11/05/2020 12:51 AM UTC
4275123d394708b2ea7f23b1dbafefe2933c84253af691e9750ec7aacc430780RUN
DEST_DIR=/opt/nvidia/medical DOCKER_IMAGE_TAG=v3.1-ga-qa-6 python -m pip install cryptography pyyaml rich
11/05/2020 12:51 AM UTC
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