ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA
NVIDIA
Merlin TensorFlow
Container
NVIDIA
NVIDIA
Merlin TensorFlow

The Merlin TensorFlow container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with TensorFlow, and serve the trained model on Triton Inference Server.

LayerLabelCreated
sha256:e27c623fa4938a28606793dfabb34f1e5aebefe17c033c108a1301a819df6008RUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v23.04.00 INSTALL_DISTRIBUTED_EMBEDDINGS=false TFDE_VER=v0.3 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [ "$HUGECTR_DEV_MODE" == "false" ]; then git clone --branch ${HUGECTR_VER} --depth 1 --recurse-submodules --shallow-submodules https://${_CI_JOB_TOKEN}${_HUGECTR_REPO} /hugectr &&
  pushd /hugectr &&
  rm -rf .git/modules &&
  pip --no-cache-dir install ninja tf2onnx &&
  cd sparse_operation_kit &&
  python setup.py install &&
  cd ../hps_tf &&
  python setup.py install &&
  popd &&
  mv /hugectr/ci ~/hugectr-ci &&
  mv /hugectr/sparse_operation_kit ~/hugectr-sparse_operation_kit &&
  rm -rf /hugectr &&
  mkdir -p /hugectr &&
  mv ~/hugectr-ci /hugectr/ci &&
  mv ~/hugectr-sparse_operation_kit /hugectr/sparse_operation_kit; fi; if [ "$INSTALL_DISTRIBUTED_EMBEDDINGS" == "true" ]; then git clone --branch ${TFDE_VER} --depth 1 https://github.com/NVIDIA-Merlin/distributed-embeddings.git /distributed_embeddings/ &&
  cd /distributed_embeddings &&
  git submodule update --init --recursive &&
  make pip_pkg &&
  pip install --no-cache-dir artifacts/*.whl &&
  make clean; fi;
04/27/2023 8:15 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TFDE_VER=v0.3
04/27/2023 8:02 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
INSTALL_DISTRIBUTED_EMBEDDINGS=false
04/27/2023 8:02 AM UTC
sha256:088a28f52928a5439722ab3982b9ecea5a305c0fd42afa6ed4f66c87aa5fb1beRUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v23.04.00 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git ln -s /usr/lib/x86_64-linux-gnu/libibverbs.so.1 /usr/lib/x86_64-linux-gnu/libibverbs.so
04/27/2023 8:02 AM UTC
sha256:aafbdec1d1e4ec2ada3acabeaf9e48666bdfa38c22c918555adf6988bcb80940RUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v23.04.00 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git mkdir -p /usr/local/nvidia/lib64 &&
  ln -s /usr/local/cuda/lib64/libcusolver.so /usr/local/nvidia/lib64/libcusolver.so.10
04/27/2023 8:02 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
CPATH=:/usr/local/hugectr/include:/include LD_LIBRARY_PATH=/lib:/usr/local/lib/python3.8/dist-packages/tensorflow:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda-11/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/lib:/repos/dist/lib:/usr/lib/jvm/default-java/lib:/usr/lib/jvm/default-java/lib/server:/opt/tritonserver/lib:/usr/local/hugectr/lib LIBRARY_PATH=/lib:/usr/local/cuda/lib64/stubs: SOK_COMPILE_UNIT_TEST=ON
04/27/2023 8:02 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
HUGECTR_VER=main
04/27/2023 8:02 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
_CI_JOB_TOKEN=
04/27/2023 8:02 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
_HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git
04/27/2023 8:02 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
HUGECTR_DEV_MODE=false
04/27/2023 8:02 AM UTC
...