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NVIDIA
NVIDIA
Merlin Tensorflow Training
Container
NVIDIA
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"]
08/04/2021 6:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) ENTRYPOINT []
08/04/2021 6:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
08/04/2021 6:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
CUDF_VER=v21.06.01 HUGECTR_VER=v3.1 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 SM=60;61;70;75;80 /bin/bash -c echo $(du -h --max-depth=1 /)
08/04/2021 6:35 PM UTC
sha256:c78e402928e0f25a78264c40b4e08d43e17fde1e2c1aed82aa259654647d7398RUN
CUDF_VER=v21.06.01 HUGECTR_VER=v3.1 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 SM=60;61;70;75;80 /bin/bash -c pip uninstall pandas -y; pip install pandas==1.1.5
08/04/2021 6:34 PM UTC
sha256:1219046e661729ff34047bcc364b008e40a45b4e852822d80dd95459e0e49c3fRUN
CUDF_VER=v21.06.01 HUGECTR_VER=v3.1 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 SM=60;61;70;75;80 /bin/bash -c pip install dask[dataframe]==2021.04.1
08/04/2021 6:34 PM UTC
sha256:ad5e2ef0fe55d3988a9588a4f85dddad07bb759f6bb32dc2cacbde3af98b2142RUN
CUDF_VER=v21.06.01 HUGECTR_VER=v3.1 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 SM=60;61;70;75;80 /bin/bash -c pip install dask==2021.04.1 distributed==2021.04.1 dask-cuda
08/04/2021 6:34 PM UTC
sha256:a92c620b89608f29ae1499b74ef9ba736e871f43153b0c14f0feb145e4bd8540RUN
CUDF_VER=v21.06.01 HUGECTR_VER=v3.1 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 SM=60;61;70;75;80 /bin/bash -c pip uninstall numpy -y; pip install numpy
08/04/2021 6:34 PM UTC
sha256:85043d814bd451423347b22444056e0fab12068759a90154f78facd6412446d8RUN
CUDF_VER=v21.06.01 HUGECTR_VER=v3.1 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 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
08/04/2021 6:33 PM 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:
08/04/2021 6:33 PM UTC
...