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:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) CMD ["/bin/bash"]
    12/08/2021 12:37 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENTRYPOINT []
    12/08/2021 12:37 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
    12/08/2021 12:37 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    HUGECTR_VER=v3.3 RELEASE=true SM=60;61;70;75;80 USE_NVTX=OFF /bin/bash -c echo $(du -h --max-depth=1 /)
    12/08/2021 12:37 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) SHELL [/bin/bash -c]
    12/08/2021 12:37 AM UTC
    sha256:ade77db4c87e0cd854e6641f5464808e93fcad099ac336b061d73686b59b3bbfRUN
    HUGECTR_VER=v3.3 RELEASE=true SM=60;61;70;75;80 USE_NVTX=OFF /bin/bash -c rm -rf /usr/local/share/jupyter/lab/staging/node_modules/fast-json-patch
    12/08/2021 12:37 AM UTC
    sha256:3ed887fa765715180e79299b8962d784e63d5db9982343d6ce31548a8fdaed40RUN
    HUGECTR_VER=v3.3 RELEASE=true SM=60;61;70;75;80 USE_NVTX=OFF /bin/bash -c pip install numba numpy --upgrade
    12/08/2021 12:37 AM UTC
    sha256:63d439e25fbd04973321c212d3d3ed5d6524084e3df0cdcb6063e4348bf84d5dRUN
    HUGECTR_VER=v3.3 RELEASE=true SM=60;61;70;75;80 USE_NVTX=OFF /bin/bash -c pip install pybind11
    12/08/2021 12:37 AM UTC
    sha256:7cf1eb4c8561137df796a1f245ed52d3c2260f96497193c9c2c66e15f8b18862RUN
    HUGECTR_VER=v3.3 RELEASE=true SM=60;61;70;75;80 USE_NVTX=OFF /bin/bash -c git clone https://github.com/NVIDIA-Merlin/HugeCTR.git build-env &&
      pushd build-env &&
      if [ "$RELEASE" == "true" ] &&
      [ ${HUGECTR_VER} != "vnightly" ] ; then git fetch --all --tags &&
      git checkout tags/${HUGECTR_VER}; else echo ${HUGECTR_VER} &&
      git checkout master; fi &&
      cd sparse_operation_kit &&
      python setup.py install &&
      popd &&
      rm -rf build-env &&
      rm -rf /var/tmp/HugeCTR
    12/08/2021 12:37 AM UTC
    sha256:17053b2081491ac7a8c859dcb0393c2095dd1c9ca0b9aa065cdd62896f3b5b3bRUN
    HUGECTR_VER=v3.3 RELEASE=true SM=60;61;70;75;80 USE_NVTX=OFF /bin/bash -c ln -s /usr/lib/x86_64-linux-gnu/libibverbs.so.1 /usr/lib/x86_64-linux-gnu/libibverbs.so
    12/08/2021 12:34 AM UTC
    ...

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