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=release-23.08 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.08.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=23.06 _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
08/30/2023 3:20 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
HUGECTR_BACKEND_VER=release-23.08 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.08.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=23.06 _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
08/30/2023 3:20 AM UTC
sha256:15f39ead8b6f8dea24bc0d844cbd55732482c06c98a1d9ed8c9ab83c1ac4c4a3RUN
HUGECTR_BACKEND_VER=release-23.08 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.08.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=23.06 _CI_JOB_TOKEN= _HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git ln -s ${HUGECTR_HOME}/backends/hugectr /opt/tritonserver/backends/hugectr
08/30/2023 3:20 AM UTC
sha256:73c0717614baff5e63280cfbd5fcd0140337cd28bb1f5852731f41573ce86107RUN
HUGECTR_BACKEND_VER=release-23.08 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.08.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=23.06 _CI_JOB_TOKEN= _HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [ "${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 ${HUGECTR_HOME}/backends/hugectr/*.so &&
  rm -rf /repos ; fi
08/30/2023 3:20 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRITON_VERSION
08/30/2023 3:19 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
_HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git
08/30/2023 3:19 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PYTHONPATH=:/usr/local/lib/python3.10/dist-packages/:/usr/local/hugectr/lib
08/30/2023 3:19 AM UTC
sha256:f69bf1f8a00330aa26d7e2e00342da99d6bd5dda99c2cb9a5de536e8a8269050RUN
HUGECTR_BACKEND_VER=release-23.08 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.08.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [[ "${HUGECTR_DEV_MODE}" == "false" ]]; then rm -rf ${HUGECTR_HOME}/lib/libgmock* ${HUGECTR_HOME}/lib/pkgconfig/gmock* ${HUGECTR_HOME}/include/gmock &&
  rm -rf ${HUGECTR_HOME}/lib/libgtest* ${HUGECTR_HOME}/lib/pkgconfig/gtest* ${HUGECTR_HOME}/include/gtest &&
  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=$PATH:/usr/local/cuda-$(echo $CUDA_VERSION | awk -F'.' '{print $1"."$2}')/compat &&
  if [[ "${INSTALL_HDFS}" == "false" ]]; then cmake -DCMAKE_BUILD_TYPE=Release -DSM="60;61;70;75;80;90" -DENABLE_MULTINODES=ON .. ; else cmake -DCMAKE_BUILD_TYPE=Release -DSM="60;61;70;75;80;90" -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
08/30/2023 3:19 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
HUGECTR_HOME=/usr/local/hugectr
08/30/2023 2:51 AM UTC
sha256:8c8bcd8c2b25d749d4bcb97832920840a7576a3308e3ea5c0c7a1b17ebf54820RUN
HUGECTR_BACKEND_VER=release-23.08 HUGECTR_DEV_MODE=false HUGECTR_VER=v23.08.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git ln -s libibverbs.so.1 $(find /usr/lib/*-linux-gnu/libibverbs.so.1 | sed -e 's/\.1$//g')
08/30/2023 2:51 AM UTC
...

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.