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:abd48499873ad92ec9994ae0763d2e107f9b579ff030ab0e3983dc25ce2e965dRUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v23.09.00 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
    09/29/2023 2:54 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TFDE_VER=v23.03.00
    09/29/2023 2:46 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    INSTALL_DISTRIBUTED_EMBEDDINGS=false
    09/29/2023 2:46 PM UTC
    sha256:ed2ce82721d94d289d9e178363884cbe3d05f7641ad49b4fb64ca76131905c1cRUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v23.09.00 _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')
    09/29/2023 2:46 PM UTC
    sha256:493c0e72a052f67a96d3a2b45bf8a18a8ed340948cb54cdee121f958d7609ba9RUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v23.09.00 _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
    09/29/2023 2:46 PM 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
    09/29/2023 2:46 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    HUGECTR_VER=main
    09/29/2023 2:46 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    _CI_JOB_TOKEN=
    09/29/2023 2:46 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git
    09/29/2023 2:46 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    HUGECTR_DEV_MODE=false
    09/29/2023 2:46 PM UTC
    ...

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