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NVIDIA
Merlin TensorFlow
Container
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:c06fd42e3941136f15c187feacebf83ee2dabc92b0e17428c33a4e8c2e33840eRUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v23.12.00 INSTALL_DISTRIBUTED_EMBEDDINGS=false TFDE_VER=v23.03.00 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [ "$HUGECTR_DEV_MODE" == "false" ]; then export HUGECTR_HOME=/usr/local/hugectr &&
      rm -rf ${HUGECTR_HOME}/lib/libgmock* ${HUGECTR_HOME}/lib/pkgconfig/gmock* ${HUGECTR_HOME}/include/gmock &&
      rm -rf ${HUGECTR_HOME}/lib/libgtest* ${HUGECTR_HOME}/lib/pkgconfig/gtest* ${HUGECTR_HOME}/include/gtest &&
      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
    01/15/2024 3:31 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TFDE_VER=v23.03.00
    01/15/2024 3:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    INSTALL_DISTRIBUTED_EMBEDDINGS=false
    01/15/2024 3:27 AM UTC
    sha256:4c7f5363d8bce411a5f762be8575b5d4ac27f9177844b50257a2dae5a41ba5c9RUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v23.12.00 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git ln -s libibverbs.so.1 $(find /usr/lib/*-linux-gnu/libibverbs.so.1 | sed -e 's/\.1$//g')
    01/15/2024 3:27 AM UTC
    sha256:ac1f84de419793da8249b76fa2a7ac2fc3bb236b3162eebf821655f3c13f6e3eRUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v23.12.00 _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
    01/15/2024 3:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    LD_LIBRARY_PATH=/usr/local/lib/python3.10/dist-packages/tensorflow:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/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 SOK_COMPILE_UNIT_TEST=ON
    01/15/2024 3:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    HUGECTR_VER=main
    01/15/2024 3:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    _CI_JOB_TOKEN=
    01/15/2024 3:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git
    01/15/2024 3:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    HUGECTR_DEV_MODE=false
    01/15/2024 3:27 AM UTC
    ...

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