NVIDIA
NVIDIA
Merlin HugeCTR
Container
NVIDIA
NVIDIA
Merlin HugeCTR

The Merlin HugeCTR container enables you to perform data preprocessing, feature engineering, train models with HugeCTR, and then serve the trained model with Triton Inference Server.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
HUGECTR_BACKEND_VER=v23.02.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.02.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=22.12 _CI_JOB_TOKEN= _HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/node-fetch
03/09/2023 12:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
HUGECTR_BACKEND_VER=v23.02.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.02.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=22.12 _CI_JOB_TOKEN= _HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/marked
03/09/2023 12:13 PM UTC
sha256:2cdc954c9f1f51205c35d24ba001565fc4007d3a784146a3942b6e48f44021b8RUN
HUGECTR_BACKEND_VER=v23.02.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.02.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=22.12 _CI_JOB_TOKEN= _HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm /usr/local/cuda/lib64/stubs/libcuda.so.1
03/09/2023 12:13 PM UTC
sha256:b26e2ec4745c34b9ebeb57cd97ea11fa65c6daab697b14f099cceb1a8edc3a36RUN
HUGECTR_BACKEND_VER=v23.02.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.02.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=22.12 _CI_JOB_TOKEN= _HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git ln -s ${HUGECTR_HOME}/backends/hugectr /opt/tritonserver/backends/hugectr
03/09/2023 12:13 PM UTC
sha256:8b00c4992931efad03afb12af99fe7da749149a69cb4f587971f1cbf14862493RUN
HUGECTR_BACKEND_VER=v23.02.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.02.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=22.12 _CI_JOB_TOKEN= _HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [ "${HUGECTR_DEV_MODE}" == "false" ]; then git clone --branch ${HUGECTR_BACKEND_VER} --depth 1 https://${_CI_JOB_TOKEN}${_HUGECTR_BACKEND_REPO} /repos/hugectr_triton_backend &&
  mkdir /repos/hugectr_triton_backend/build &&
  cd /repos/hugectr_triton_backend/build &&
  cmake -DCMAKE_INSTALL_PREFIX:PATH=${HUGECTR_HOME} -DTRITON_COMMON_REPO_TAG="r${TRITON_VERSION}" -DTRITON_CORE_REPO_TAG="r${TRITON_VERSION}" -DTRITON_BACKEND_REPO_TAG="r${TRITON_VERSION}" .. &&
  make -j$(nproc) &&
  make install &&
  cd ../.. &&
  rm -rf hugectr_triton_backend &&
  chmod +x ${HUGECTR_HOME}/lib/*.so ${HUGECTR_HOME}/backends/hugectr/*.so &&
  rm -rf /repos ; fi
03/09/2023 12:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRITON_VERSION
03/09/2023 12:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
_HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git
03/09/2023 12:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PATH=/usr/local/cuda/lib64/:/opt/tritonserver/bin:/usr/local/cuda/lib64/:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/usr/local/cuda/bin::/opt/hadoop/bin:/opt/hadoop/sbin:/usr/local/hugectr/bin:/usr/local/cuda/bin:/usr/lib/x86_64-linux-gnu/:/usr/local/hugectr/bin CPATH=:/usr/local/hugectr/include:/usr/local/hugectr/include LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/lib:/repos/dist/lib:/usr/lib/jvm/default-java/lib:/usr/lib/jvm/default-java/lib/server:/opt/tritonserver/lib:/usr/local/hugectr/lib:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/lib:/repos/dist/lib:/usr/local/hugectr/lib PYTHONPATH=:/usr/local/lib/python3.8/dist-packages/:/usr/local/hugectr/lib
03/09/2023 12:13 PM UTC
sha256:44b1ab0b68ed184794826566aed9964a22a0f415b7b597e75def41a7760b5d6aRUN
HUGECTR_BACKEND_VER=v23.02.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.02.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [[ "${HUGECTR_DEV_MODE}" == "false" ]]; then git clone --branch ${HUGECTR_VER} --depth 1 https://${_CI_JOB_TOKEN}${_HUGECTR_REPO} /hugectr &&
  cd /hugectr &&
  git submodule update --init --recursive &&
  mkdir build &&
  cd build &&
  LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs/:$LD_LIBRARY_PATH &&
  export PATH=$PATH:/usr/local/cuda-${CUDA_SHORT_VERSION}/compat &&
  if [[ "${INSTALL_HDFS}" == "false" ]]; then cmake -DCMAKE_BUILD_TYPE=Release -DSM="60;61;70;75;80" -DENABLE_MULTINODES=ON .. ; else cmake -DCMAKE_BUILD_TYPE=Release -DSM="60;61;70;75;80" -DENABLE_MULTINODES=ON -DENABLE_HDFS=ON .. ; fi &&
  make -j$(nproc) &&
  make install &&
  rm -rf ./* &&
  chmod +x ${HUGECTR_HOME}/bin/* ${HUGECTR_HOME}/lib/*.so &&
  cd ../onnx_converter &&
  python setup.py install &&
  mv /hugectr/ci ~/hugectr-ci &&
  rm -rf /hugectr &&
  mkdir -p /hugectr &&
  mv ~/hugectr-ci /hugectr/ci ; fi
03/09/2023 12:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
HUGECTR_HOME=/usr/local/hugectr
03/09/2023 11:32 AM UTC
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