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
80b4c32e82dacd27760de49f37682a21250551ed1c37740e05b62ce361849229RUN
/bin/bash -c #(nop) ENTRYPOINT []
05/29/2021 1:41 PM UTC
a67579a501fe47ed92080e98663d525c3f108405e5312907bbd08f5bafb5293fRUN
/bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
05/29/2021 1:41 PM UTC
f21677308e2f302cf022b94cdfda8306359b18cfd1d4bef2f6fd75759c859414RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c echo $(du -h --max-depth=1 /)
05/29/2021 1:41 PM UTC
b0cdbc34684d7bf66728a34c4eba59e9a95d0e31cc80f6df744182527187a238RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c rm -rf /repos
05/29/2021 1:41 PM UTC
c2455367e6b3dc1448feb071a676b490fa6a7e279387da641ca2d79babf0d76fRUN
/bin/bash -c #(nop) ENV PYTHONPATH=:/usr/local/hugectr/lib
05/29/2021 1:41 PM UTC
26fa4cc7010f67bb1150e70d02334dea6e434053961faf68bc65af31a40c0cb5RUN
/bin/bash -c #(nop) ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/lib:/repos/dist/lib:/usr/local/hugectr/lib PATH=/usr/local/cuda/lib64/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/cuda/bin:/usr/lib/x86_64-linux-gnu/:/usr/local/hugectr/bin
05/29/2021 1:41 PM UTC
6a23a85631ed0c90bda7842d53f74648173da26c6f2ff456ff19d7765219330eRUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c rm /usr/local/cuda/lib64/stubs/libcuda.so.1
05/29/2021 1:41 PM UTC
17006b3fbaa5f5cb6649401ec97fac5006f44d8e6904090bf02f6256914c6ad2RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c cd /var/tmp/HugeCTR &&
  mkdir build &&
  cd build &&
  LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs/:$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$(nproc) &&
  make install &&
  chmod +x /usr/local/hugectr/bin/* &&
  chmod +x /usr/local/hugectr/lib/* &&
  rm -rf /var/tmp/HugeCTR;
05/29/2021 1:41 PM UTC
d3c2588c1640f517bc50f49bd5443dbab82a81ec7066b88d753f0fa6730aceefRUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c mkdir -p /var/tmp &&
  cd /var/tmp &&
  git clone https://github.com/NVIDIA/HugeCTR.git HugeCTR &&
  cd - &&
  cd /var/tmp/HugeCTR &&
  if [ "$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
05/29/2021 1:31 PM UTC
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