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"]
    01/14/2022 8:31 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENTRYPOINT []
    01/14/2022 8:31 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
    01/14/2022 8:31 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c echo $(du -h --max-depth=1 /)
    01/14/2022 8:31 AM UTC
    sha256:59488654099edc7cfd2a804b1b25067d9d134025049bb8c3ca25fe8210f8ce4aRUN
    NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c rm -rf /opt/conda/share/jupyter/lab/staging/node_modules/fast-json-patch
    01/14/2022 8:31 AM UTC
    sha256:cd024980856e00b896168f4705dfc0113df1783123564a02878120b0ecb3e184RUN
    NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c pip install 'websockets>=10.0'
    01/14/2022 8:31 AM UTC
    sha256:08ff89835bb06fd4464fa7d97e8bd93f82cdb34a0f4d297791a4fe38aee9c6f2RUN
    NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c pip uninstall sqlparse -y
    01/14/2022 8:31 AM UTC
    sha256:f347fedb037648e12e1396a2e79303beb0205df766f779b1f14101d063bc272dRUN
    NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c pip install dask==2021.09.1 distributed==2021.09.1 dask[dataframe]==2021.09.1 dask-cuda
    01/14/2022 8:31 AM UTC
    sha256:ec4bfa65f2d935f1e6f5e9dd46a0fb074552bd5915cf24cbab2805607427ca7fRUN
    NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c rm -rf /repos
    01/14/2022 8:31 AM UTC
    sha256:b0df989bbdbd2c64b1bcbb630919f046c1ece2034da5fa2eaa728ac8e499b72fRUN
    NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c pip install torchmetrics==0.3.2
    01/14/2022 8:31 AM UTC
    ...

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