NVIDIA
Merlin Tensorflow Training
Container
NVIDIA
Merlin Tensorflow Training

This container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with TensorFlow.

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
    ["/bin/bash" "-c" "/opt/nvidia/nvidia_entrypoint.sh"]
    05/06/2022 7:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
    /bin/bash
    05/06/2022 7:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4HEALTHCHECK
    &{["NONE"] "0s" "0s" "0s" '\x00'}
    05/06/2022 7:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CORE_VER=main HUGECTR_DEV_MODE=false HUGECTR_VER=master INSTALL_NVT=true MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main TFDE_VER=main _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/node-fetch
    05/06/2022 7:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CORE_VER=main HUGECTR_DEV_MODE=false HUGECTR_VER=master INSTALL_NVT=true MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main TFDE_VER=main _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/marked
    05/06/2022 7:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CORE_VER=main HUGECTR_DEV_MODE=false HUGECTR_VER=master INSTALL_NVT=true MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main TFDE_VER=main _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /repos
    05/06/2022 7:11 AM UTC
    sha256:5844d24b9a340f49446de5b641bec9dc4fa631d59e6a8de831cf91b85dd170b1RUN
    CORE_VER=main HUGECTR_DEV_MODE=false HUGECTR_VER=master INSTALL_NVT=true MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main TFDE_VER=main _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git git clone https://github.com/NVIDIA-Merlin/distributed-embeddings.git /distributed_embeddings/ &&
      cd /distributed_embeddings &&
      git checkout ${TFDE_VER} &&
      make pip_pkg &&
      pip install artifacts/*.whl &&
      make clean
    05/06/2022 7:11 AM UTC
    sha256:80ae945be6110dc49a08faf4a63202ee41a852f5984d26912b8380c5b0c404e8RUN
    CORE_VER=main HUGECTR_DEV_MODE=false HUGECTR_VER=master INSTALL_NVT=true MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main TFDE_VER=main _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [ "$HUGECTR_DEV_MODE" == "false" ]; then git clone https://${_CI_JOB_TOKEN}${_HUGECTR_REPO} build-env &&
      pushd build-env &&
      git checkout ${HUGECTR_VER} &&
      cd sparse_operation_kit &&
      python setup.py install &&
      popd &&
      rm -rf build-env; fi
    05/06/2022 7:10 AM UTC
    sha256:9f5ff1b0b94e597ebe82a1744b4684d18db9601e2b7bf74708f538ff5a4b9f4cRUN
    CORE_VER=main HUGECTR_DEV_MODE=false HUGECTR_VER=master INSTALL_NVT=true MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main TFDE_VER=main _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
    05/06/2022 7:08 AM UTC
    sha256:06e4acd17f4530462b216180e3d354aa69facde16e138e26f1bc6254c77e9cbcRUN
    CORE_VER=main HUGECTR_DEV_MODE=false HUGECTR_VER=master INSTALL_NVT=true MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main TFDE_VER=main _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
    05/06/2022 7:08 AM UTC
    ...

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