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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"]
05/28/2021 9:35 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) ENTRYPOINT []
05/28/2021 9:35 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
05/28/2021 9:35 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 SM=60;61;70;75;80 /bin/bash -c echo $(du -h --max-depth=1 /)
05/28/2021 9:35 AM UTC
sha256:71ac2a1f8f656f3589fdc1031e7f9444c7357b5191e3a74b38343e53b8333d29RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 SM=60;61;70;75;80 /bin/bash -c pip uninstall numpy -y; pip install numpy
05/28/2021 9:34 AM UTC
sha256:4d1baa54bb1eca2e0e490c05f0e3e3c5d0651b171ca6ea777d8342a7afdc7df3RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 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
05/28/2021 9:34 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:
05/28/2021 9:34 AM UTC
sha256:bca0a06ce5e219205048315a4da754feb1d6fd2db9ea572979885392b3349aa0RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 SM=60;61;70;75;80 /bin/bash -c apt-get update; apt-get install -y graphviz
05/28/2021 9:34 AM UTC
sha256:2f02be6f5b68b65be2b5bf6a63119738caa14a65f380fb97b39e1f396cfae69eRUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 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
05/28/2021 9:34 AM UTC
sha256:29da7398c2120bb899bca883bffb84cc39fd9f68ec4f37b9d79117ff0c4a9f2cRUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 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
05/28/2021 9:32 AM UTC
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