NVIDIA
NVIDIA
TAO Toolkit
Container
NVIDIA
NVIDIA
TAO Toolkit

Docker containers distributed as part of the TAO Toolkit package

LayerLabelCreated
c5c864c59151407ede67f46c96b89054eb67a0d4927f996216589f1a78625a9eCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace/cosmos_rl; ExposedPorts 8000/tcp
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e78e74a78c5e13cf8785f6cd65ac4310af688a1a90400118ba5113a2d820097cENV
RUN_CLI=0
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a41742c4572fb4c83b068a05e278b972d44d6b2266d656a62a8f4e6d5bba1428ENV
FLASK_APP=nvidia_tao_core.microservices.app
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807b0049f94e6b88c0e18af96c9e8102c5f41059d9e3e091ed615ef540448cf9EXPOSE
8000/tcp
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a24b64c637c2a1b1d8e8ff3b1096a1f09e50f0dd9a3617759afd804a0db2ff93ENV
TAO_TELEMETRY_SERVER=https://api.tao.ngc.nvidia.com
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e565dfbe1870d6cb7bbac8245b5e758c46387c89361d486a83a204027a24c717ENV
NVIDIA_TAO_TOOLKIT_VERSION=6.25.7-PyTorch
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7376413927d77ce6847560c9ba52c253a640755bf511fda2774e60935c07f887ENV
TAO_TOOLKIT_VERSION=6.25.7
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d4eab1ef7dc36697c91db77254f63e19440bd79b3c2453364d391bd45c7bb303ENV
NVIDIA_PRODUCT_NAME=TAO Toolkit
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696eb3dea2284c6d87413dec2ad76c5cffea94a2c26e31a6dc30909726804181RUN
GDRCOPY_VERSION=v2.4.4 EFA_INSTALLER_VERSION=1.42.0 AWS_OFI_NCCL_VERSION=v1.16.0 NCCL_VERSION=2.25.1-1 PYTHON_VERSION=3.12 pip uninstall -y ray
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99a4ceeaf81d0edac58d6aee1ff4d3eb07048060d4e48d99780edd3a214c7001RUN
GDRCOPY_VERSION=v2.4.4 EFA_INSTALLER_VERSION=1.42.0 AWS_OFI_NCCL_VERSION=v1.16.0 NCCL_VERSION=2.25.1-1 PYTHON_VERSION=3.12 . /opt/venv/cosmos_rl/bin/activate &&
  cd tao-core &&
  bash release/python/build_wheel.sh &&
  find dist/ -name "nvidia_tao_core*.whl" -type f | xargs -n 1 pip install &&
  cp nvidia_tao_core/microservices/nginx.conf /etc/nginx/ &&
  cd .. &&
  rm -rf tao-core
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...

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