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:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) CMD ["/bin/bash"]
05/15/2021 7:55 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) ENTRYPOINT []
05/15/2021 7:55 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
05/15/2021 7:55 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c echo $(du -h --max-depth=1 /)
05/15/2021 7:55 AM UTC
sha256:73efef56125b4a5feac9eb12f7515dcb4d85b5238628d107f1c411b98d91b22bRUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c rm -rf /repos
05/15/2021 7:55 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) ENV PYTHONPATH=:/usr/local/hugectr/lib
05/15/2021 7:55 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/lib:/repos/dist/lib:/usr/local/hugectr/lib PATH=/usr/local/cuda/lib64/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/cuda/bin:/usr/lib/x86_64-linux-gnu/:/usr/local/hugectr/bin
05/15/2021 7:55 AM UTC
sha256:8ef007d98cae2591f24b20552bf09df1d9b27b3b3dc6ab7f4b1c5ec53775137bRUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c rm /usr/local/cuda/lib64/stubs/libcuda.so.1
05/15/2021 7:55 AM UTC
sha256:4096cf6748e0f035b9d14ebf545828a178f934c8249227b5bc7561c0534fedbfRUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c cd /var/tmp/HugeCTR &&
  mkdir build &&
  cd build &&
  LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs/:$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$(nproc) &&
  make install &&
  chmod +x /usr/local/hugectr/bin/* &&
  chmod +x /usr/local/hugectr/lib/* &&
  rm -rf /var/tmp/HugeCTR;
05/15/2021 7:55 AM UTC
sha256:a7467df79d510c2bccc4b8309d8da33257e3c68ec7d6a4689c2a11b4f6fddb7cRUN
CUDF_VER=v0.19.1 HUGECTR_VER=v3.0.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c mkdir -p /var/tmp &&
  cd /var/tmp &&
  git clone https://github.com/NVIDIA/HugeCTR.git HugeCTR &&
  cd - &&
  cd /var/tmp/HugeCTR &&
  if [ "$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
05/15/2021 7:46 AM UTC
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