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"]
    01/14/2022 8:39 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENTRYPOINT []
    01/14/2022 8:39 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
    01/14/2022 8:39 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    HUGECTR_VER=vnightly NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c echo $(du -h --max-depth=1 /)
    01/14/2022 8:39 AM UTC
    sha256:c0556a7edb3070c962f934b20a5ab96ce5e973d5badb2744e4da0b993fa18feaRUN
    HUGECTR_VER=vnightly NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c rm -rf /usr/local/share/jupyter/lab/staging/node_modules/fast-json-patch
    01/14/2022 8:39 AM UTC
    sha256:aa637a444c2c24291f12c44eaf7f25d56e18fe6ccd426d9c29e4eaf206896837RUN
    HUGECTR_VER=vnightly NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c pip install dask==2021.09.1 distributed==2021.09.1 dask[dataframe]==2021.09.1 dask-cuda
    01/14/2022 8:39 AM UTC
    sha256:a10ae0a9868a3f4b3967feca5ed93af48e03ebbefaeb2c79cd9c136419bafb58RUN
    HUGECTR_VER=vnightly NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c pip install numba numpy --upgrade
    01/14/2022 8:39 AM UTC
    sha256:937d3cced61c4eb7d7865ad813e024463a10d7c31cb45c49b91d6ed44941e946RUN
    HUGECTR_VER=vnightly NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c rm -rf /repos
    01/14/2022 8:39 AM UTC
    sha256:c296db6d1f4b83f79993021fae7fa712fdeffc05258c7e7eb85428e5acabe872RUN
    HUGECTR_VER=vnightly NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c git clone https://github.com/NVIDIA-Merlin/HugeCTR.git build-env &&
      pushd build-env &&
      if [ "$RELEASE" == "true" ] &&
      [ ${HUGECTR_VER} != "vnightly" ] ; then git fetch --all --tags &&
      git checkout tags/${HUGECTR_VER}; else echo ${HUGECTR_VER} &&
      git checkout master; fi &&
      cd sparse_operation_kit &&
      python setup.py install &&
      popd &&
      rm -rf build-env &&
      rm -rf /var/tmp/HugeCTR
    01/14/2022 8:39 AM UTC
    sha256:25ea1304d7601b4ec25dc6fdf7800ab12a42591f87ab4115fb3c16d2967495d6RUN
    HUGECTR_VER=vnightly NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c ln -s /usr/lib/x86_64-linux-gnu/libibverbs.so.1 /usr/lib/x86_64-linux-gnu/libibverbs.so
    01/14/2022 8:35 AM UTC
    ...