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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:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) CMD ["/bin/bash"]
    05/15/2021 12:17 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENTRYPOINT []
    05/15/2021 12:17 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
    05/15/2021 12:17 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 SM=60;61;70;75;80 /bin/bash -c echo $(du -h --max-depth=1 /)
    05/15/2021 12:17 AM UTC
    sha256:4af2a35664a6030fa979fc4bd6e2ec25ee4623b449ce79bd2b71c5a66663af76RUN
    CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 SM=60;61;70;75;80 /bin/bash -c pip uninstall numpy -y; pip install numpy
    05/15/2021 12:17 AM UTC
    sha256:1ac0cc49bb1a8c659f4c42d2c70cdc77dc3dd6534bf22cc40754e69c5d61048cRUN
    CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 SM=60;61;70;75;80 /bin/bash -c git clone https://github.com/rapidsai/asvdb.git build-env &&
      pushd build-env &&
      python setup.py install &&
      popd &&
      rm -rf build-env
    05/15/2021 12:17 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENV LD_LIBRARY_PATH=/usr/local/hugectr/lib:/usr/local/cuda/extras/CUPTI/lib64:/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 LIBRARY_PATH=/usr/local/hugectr/lib:/usr/local/cuda/lib64/stubs: PYTHONPATH=/usr/local/hugectr/lib:
    05/15/2021 12:17 AM UTC
    sha256:ceeff1c78c61add96a3c3e27354d06de543b7e6532514ac976631edcd1ce5473RUN
    CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 SM=60;61;70;75;80 /bin/bash -c apt-get update; apt-get install -y graphviz
    05/15/2021 12:17 AM UTC
    sha256:cb56d123baa1a97fa034de6c5b6ac715a8f92e22ead1a56e1161d39db8c4aabaRUN
    CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 SM=60;61;70;75;80 /bin/bash -c pip install dask==2021.04.0 nvtx pandas==1.1.5 mpi4py==3.0.3 cupy-cuda112 cachetools typing_extensions fastavro
    05/15/2021 12:16 AM UTC
    sha256:2a5f65b5a27a6101ac32418bb03b46d9abab88c364c8f4ec6f4aa611ddccf1d6RUN
    CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 SM=60;61;70;75;80 /bin/bash -c pip install nvidia-pyindex; pip install tritonclient[all] grpcio-channelz
    05/15/2021 12:15 AM UTC
    ...

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