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  • NVIDIA
    Merlin PyTorch Training
    Container
    NVIDIA
    Merlin PyTorch Training

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

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) CMD ["/bin/bash"]
    		12/08/2021 12:25 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENTRYPOINT []
    		12/08/2021 12:25 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
    		12/08/2021 12:25 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    NVTAB_VER=v0.8.0 RELEASE=true TF4REC_VER=v0.1.3 /bin/bash -c echo $(du -h --max-depth=1 /)
    		12/08/2021 12:25 AM UTC
    sha256:c728bcc7cf745e2d6100805bb727a8448d9c5d82d577d596edfe6f19a3152593RUN
    NVTAB_VER=v0.8.0 RELEASE=true TF4REC_VER=v0.1.3 /bin/bash -c rm -rf /repos
    		12/08/2021 12:25 AM UTC
    sha256:1073e4c1aebada382f58f7b78db2eff17d044d1ab6806cd7295a30e0a95435f4RUN
    NVTAB_VER=v0.8.0 RELEASE=true TF4REC_VER=v0.1.3 /bin/bash -c rm -rf /opt/conda/share/jupyter/lab/staging/node_modules/fast-json-patch
    		12/08/2021 12:25 AM UTC
    sha256:2a4b4eec906b71c3f69eea5becd53c152531beebc8081e971aad4e44bf1f990fRUN
    NVTAB_VER=v0.8.0 RELEASE=true TF4REC_VER=v0.1.3 /bin/bash -c pip install 'websockets>=10.0'
    		12/08/2021 12:25 AM UTC
    sha256:233b42fc5bf6f96bf4fc3e56df293af2ee91448ea5cc89ce0d605de51ecbc147RUN
    NVTAB_VER=v0.8.0 RELEASE=true TF4REC_VER=v0.1.3 /bin/bash -c pip uninstall sqlparse -y
    		12/08/2021 12:25 AM UTC
    sha256:08aaff0ec47ae395575a4c68fa1068f3f29499adba3e12aff2d4a76879a97cb8RUN
    NVTAB_VER=v0.8.0 RELEASE=true TF4REC_VER=v0.1.3 /bin/bash -c pip install torchmetrics==0.3.2
    		12/08/2021 12:25 AM UTC
    sha256:5e399049ada0626504f2222f88e0ea839592e040218d9d010f22b074deefba29RUN
    NVTAB_VER=v0.8.0 RELEASE=true TF4REC_VER=v0.1.3 /bin/bash -c pip install dask==2021.07.1 distributed==2021.07.1 dask[dataframe]==2021.07.1 dask-cuda
    		12/08/2021 12:25 AM UTC
    ...

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