NVIDIA
NVIDIA
Merlin Training
Container
NVIDIA
NVIDIA
Merlin Training

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

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CONFIG
00cdd6ce29399318f22ab6c452c32eeeae4e870d134c9b06556cdf47127f7933RUN
/bin/bash -c #(nop) ENTRYPOINT []
04/13/2021 1:27 AM UTC
4c84fa3f0ab3ab08beceff56d32bf96d4c1c5dcac705804cbc99a6c9a09e0cadRUN
/bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
04/13/2021 1:27 AM UTC
28fd72633d9e55184b4d2b279a7e053156f35650ee8569b7be0b736d82ec8b16RUN
CC=8 CONDA_ENV=merlin CXX=8 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.0 RAPIDS_VER=0.18.0 RAP_CHAN=rapidsai RELEASE=true /bin/bash -c echo $(du -h --max-depth=1 /)
04/13/2021 1:27 AM UTC
a33034d5c6ba69d588c1aefb2db75a8935da855ab54105b4b9aaf500dbd77273RUN
CC=8 CONDA_ENV=merlin CXX=8 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.0 RAPIDS_VER=0.18.0 RAP_CHAN=rapidsai RELEASE=true /bin/bash -c source activate ${CONDA_ENV}; conda clean --all -y
04/13/2021 1:27 AM UTC
66bd8394a906217a74e71535c45c891e4ad80d2577c487ffb198ca89d59eefcdRUN
CC=8 CONDA_ENV=merlin CXX=8 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.0 RAPIDS_VER=0.18.0 RAP_CHAN=rapidsai RELEASE=true /bin/bash -c source activate ${CONDA_ENV}; conda env config vars set LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/hugectr/lib PATH=$PATH:/usr/local/hugectr/bin PYTHONPATH=$PYTHONPATH:/usr/local/hugectr/lib
04/13/2021 1:27 AM UTC
7ae9adcda352324d0e3fa8854c99881067e4dd91c28dc66a5b76091255042a3bRUN
CC=8 CONDA_ENV=merlin CXX=8 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.0 RAPIDS_VER=0.18.0 RAP_CHAN=rapidsai RELEASE=true /bin/bash -c source activate ${CONDA_ENV}; apt update; apt install -y graphviz ;
04/13/2021 1:27 AM UTC
b27d3ef87837cc0d53efd20374555c730c8edc93fdd95fb84306d220ee668b61RUN
CC=8 CONDA_ENV=merlin CXX=8 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.0 RAPIDS_VER=0.18.0 RAP_CHAN=rapidsai RELEASE=true /bin/bash -c rm /usr/local/cuda/lib64/stubs/libcuda.so.1
04/13/2021 1:27 AM UTC
d51dfe4bfb4b5f4c37bcc696a4ed38eb8dde63835245ca52ad7eb7c1ccd81162RUN
CC=8 CONDA_ENV=merlin CXX=8 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.0 RAPIDS_VER=0.18.0 RAP_CHAN=rapidsai RELEASE=true /bin/bash -c source activate ${CONDA_ENV}; cd /var/tmp/HugeCTR &&
  mkdir build &&
  cd build &&
  LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs/:$LD_LIBRARY_PATH &&
  export PATH=$PATH:/usr/local/cuda-11.0/compat/ &&
  cmake -DCMAKE_CXX_COMPILER=/usr/bin/g++ -DCMAKE_C_COMPILER=/usr/bin/gcc -DCMAKE_BUILD_TYPE=Release -DSM="60;61;70;75;80" -DVAL_MODE=OFF -DENABLE_MULTINODES=ON -DNCCL_A2A=ON .. &&
  make -j$(nproc) &&
  make install &&
  chmod +x /usr/local/hugectr/bin/* &&
  chmod +x /usr/local/hugectr/lib/* &&
  rm -rf /var/tmp/HugeCTR;
04/13/2021 1:27 AM UTC
5c5f02b3affcb000e09a213a70aee3cf01f330d8cd9889f7cb25d8164b32f419RUN
CC=8 CONDA_ENV=merlin CXX=8 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.0 RAPIDS_VER=0.18.0 RAP_CHAN=rapidsai RELEASE=true /bin/bash -c mkdir -p /var/tmp &&
  cd /var/tmp &&
  git clone https://github.com/NVIDIA/HugeCTR.git HugeCTR &&
  cd - &&
  cd /var/tmp/HugeCTR &&
  if [[ "$RELEASE" == "true" ]]; then git fetch --all --tags &&
  git checkout tags/${HUGECTR_VER}; else git checkout master; fi &&
  git submodule update --init --recursive
04/13/2021 1:16 AM UTC

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