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=v23.04.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.04.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=23.02 _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
04/27/2023 11:15 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
HUGECTR_BACKEND_VER=v23.04.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.04.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=23.02 _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
04/27/2023 11:15 AM UTC
sha256:51ea524edf344b15203e2e97ab0b79590e31f72d6b24276301369b3f837f388dRUN
HUGECTR_BACKEND_VER=v23.04.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.04.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=23.02 _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
04/27/2023 11:15 AM UTC
sha256:184c0c99a93e5763bcf0aa30b2a31af89542dd6c748cca135cf244c70ee6e34cRUN
HUGECTR_BACKEND_VER=v23.04.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.04.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=23.02 _CI_JOB_TOKEN= _HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git ln -s ${HUGECTR_HOME}/backends/hugectr /opt/tritonserver/backends/hugectr
04/27/2023 11:15 AM UTC
sha256:031ea4a18f1ee3b0b5df5fbe822e75067f82b297042342955bb60b7b6316c24aRUN
HUGECTR_BACKEND_VER=v23.04.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.04.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false TRITON_VERSION=23.02 _CI_JOB_TOKEN= _HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [ "${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 ${HUGECTR_HOME}/backends/hugectr/*.so &&
  rm -rf /repos ; fi
04/27/2023 11:15 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRITON_VERSION
04/27/2023 11:15 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
_HUGECTR_BACKEND_REPO=github.com/triton-inference-server/hugectr_backend.git
04/27/2023 11:15 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PATH=/usr/local/cuda/lib64/:/opt/tritonserver/bin:/usr/local/cuda/lib64/:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/usr/local/cuda/bin::/opt/hadoop/bin:/opt/hadoop/sbin:/usr/local/hugectr/bin:/usr/local/cuda/bin:/usr/lib/x86_64-linux-gnu/:/usr/local/hugectr/bin CPATH=:/usr/local/hugectr/include:/usr/local/hugectr/include LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda-11/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/lib:/repos/dist/lib:/usr/lib/jvm/default-java/lib:/usr/lib/jvm/default-java/lib/server:/opt/tritonserver/lib:/usr/local/hugectr/lib:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/lib:/repos/dist/lib:/usr/local/hugectr/lib PYTHONPATH=:/usr/local/lib/python3.8/dist-packages/:/usr/local/hugectr/lib
04/27/2023 11:15 AM UTC
sha256:8b4303102c496fcd1c9aa827d719fa785f1934a477477ea7497610479caa96a6RUN
HUGECTR_BACKEND_VER=v23.04.00 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v23.04.00 HWLOC_VER=2.4.1 INSTALL_HDFS=false _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [[ "${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 [[ "${INSTALL_HDFS}" == "false" ]]; then cmake -DCMAKE_BUILD_TYPE=Release -DSM="60;61;70;75;80;90" -DENABLE_MULTINODES=ON .. ; else cmake -DCMAKE_BUILD_TYPE=Release -DSM="60;61;70;75;80;90" -DENABLE_MULTINODES=ON -DENABLE_HDFS=ON .. ; fi &&
  make -j$(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
04/27/2023 11:15 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
HUGECTR_HOME=/usr/local/hugectr
04/27/2023 10:30 AM UTC
...