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  • 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:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
    /bin/bash
    		02/02/2022 10:38 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4HEALTHCHECK
    &{["NONE"] "0s" "0s" "0s" '\x00'}
    		02/02/2022 10:38 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git echo $(du -h --max-depth=1 /)
    		02/02/2022 10:38 PM UTC
    sha256:f4b0840b50ef29a00b415cd76042b3ec3374a31c9408ef1d8e266b3b8adb51a2RUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/fast-json-patch
    		02/02/2022 10:38 PM UTC
    sha256:566f8f085871cc8dda888bd009d46584503699611a3ed8c64a634ef236899ac2RUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /repos
    		02/02/2022 10:38 PM UTC
    sha256:61326a86be4fb592ce5c1df3ce291b61ce6a8216b7e1348bbf98418fa37dee39RUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [ "$HUGECTR_DEV_MODE" == "false" ]; then git clone https://${_CI_JOB_TOKEN}${_HUGECTR_REPO} build-env &&
  pushd build-env &&
  git fetch --all; if [ "$RELEASE" == "true" ] &&
  [ ${HUGECTR_VER} != "vnightly" ]; then git fetch --all --tags &&
  git checkout tags/${HUGECTR_VER}; else git checkout ${_HUGECTR_BRANCH}; fi; cd sparse_operation_kit &&
  python setup.py install &&
  popd &&
  rm -rf build-env; fi
    		02/02/2022 10:38 PM UTC
    sha256:0e7bd4a870b121061b307689968097cff680c13a74559d8f9c88743062e32b1dRUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _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
    		02/02/2022 10:34 PM UTC
    sha256:d3ff8460a51f7143e6d31589b79012a4e1b08f67500aa6b988225d6a70842c64RUN
    HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _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
    		02/02/2022 10:34 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    _CI_JOB_TOKEN=
    		02/02/2022 10:34 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git
    		02/02/2022 10:34 PM UTC
    ...

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