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
3170534380269dbbf32a921868d46d166c14d37ad76057cae66a268805919d52RUN
/bin/bash -c #(nop) ENTRYPOINT []
05/03/2021 11:02 PM UTC
1814282efeecfbc78dcdc6086f7ff89e834d4c755ab0447bab775bc510716938RUN
/bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
05/03/2021 11:02 PM UTC
04af03c21f709706fd7baa3c42e31b836b2ff5fd649958f56da072489a393c14RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.1 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c echo $(du -h --max-depth=1 /)
05/03/2021 11:02 PM UTC
a8c9fada21e8d12a425b366295ba2fd88a385e53f8289477823d5a49080ac385RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.1 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c rm -rf /repos
05/03/2021 11:02 PM UTC
df56967c5cbc61e158e9bcbb5fbc1957d8c6bc502b13d1a291355482fa7cfbfeRUN
/bin/bash -c #(nop) ENV PYTHONPATH=:/usr/local/hugectr/lib
05/03/2021 11:02 PM UTC
ee840608ab1ebd243e7431f4d0c9d266aa1951e0d44250e361092b28065bfb74RUN
/bin/bash -c #(nop) ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/lib:/repos/dist/lib:/usr/local/hugectr/lib PATH=/usr/local/cuda/lib64/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/cuda/bin:/usr/lib/x86_64-linux-gnu/:/usr/local/hugectr/bin
05/03/2021 11:02 PM UTC
745eb931f4900bab4a5b52c381fdc4b96d7abb83aee854a55fd84c79ab3465ebRUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.1 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c rm /usr/local/cuda/lib64/stubs/libcuda.so.1
05/03/2021 11:02 PM UTC
459cca4c428b69273ba8f053c50e5ded576ae0bb3e44f3cbbb84e533e0e9fb34RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.1 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c cd /var/tmp/HugeCTR &&
  mkdir build &&
  cd build &&
  LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs/:$LD_LIBRARY_PATH &&
  export PATH=$PATH:/usr/local/cuda-${CUDA_SHORT_VERSION}/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$(nproc) &&
  make install &&
  chmod +x /usr/local/hugectr/bin/* &&
  chmod +x /usr/local/hugectr/lib/* &&
  rm -rf /var/tmp/HugeCTR;
05/03/2021 11:02 PM UTC
23d8c6740f6602e546ceac422ff05197d8d3b609575fe21320e3b0add1f2a56fRUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.1 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c mkdir -p /var/tmp &&
  cd /var/tmp &&
  git clone https://github.com/NVIDIA/HugeCTR.git HugeCTR &&
  cd - &&
  cd /var/tmp/HugeCTR &&
  if [ "$RELEASE" == "true" ] &&
  [ ${HUGECTR_VER} != 0 ]; then git fetch --all --tags &&
  git checkout tags/${HUGECTR_VER}; else git checkout master; fi &&
  git submodule update --init --recursive
05/03/2021 10:52 PM UTC
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