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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
2aee18b177e739db4dde7164be89719be03273e58c73ac6778e2adc591221fb0RUN
/bin/sh
05/11/2022 10:51 PM UTC
724961618e4a0fe57977f66235237f1dfca2edae48fe1b2e380252769434f65eCMD
/bin/bash
05/11/2022 10:51 PM UTC
dfa999505c7fe21eaab0df0e3dd1b1f8f3416e562256bc305d831c7c906e5288HEALTHCHECK
&{["NONE"] "0s" "0s" "0s" '\x00'}
05/11/2022 10:50 PM UTC
eb06d880bce365aba97913470ae42bfbd28c41a8463eb52565d4b9fb5fcfa344RUN
BUILD_HADOOP=false CORE_VER=v0.3.0 HADOOP_VER=3.3.2 HIREDIS_VER=1.0.2 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v3.6 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=v0.4.0 NVTAB_VER=v1.1.1 PROTOC_VER=3.19.4 RDKAFKA_VER=1.8.2 REDIS_PP_VER=1.3.3 ROCKSDB_VER=6.29.3 SYSTEMS_VER=v0.2.0 TF4REC_VER=v0.1.8 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/node-fetch
05/11/2022 10:50 PM UTC
50e07c2c9dc76007563b0194dbe43bcd93cec7d4b51a5e57f075da96de0ce5dbRUN
BUILD_HADOOP=false CORE_VER=v0.3.0 HADOOP_VER=3.3.2 HIREDIS_VER=1.0.2 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v3.6 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=v0.4.0 NVTAB_VER=v1.1.1 PROTOC_VER=3.19.4 RDKAFKA_VER=1.8.2 REDIS_PP_VER=1.3.3 ROCKSDB_VER=6.29.3 SYSTEMS_VER=v0.2.0 TF4REC_VER=v0.1.8 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/marked
05/11/2022 10:50 PM UTC
a60623c80b34910bd8061e73c0ee300fa873a78e46b5ad084d56f4b8517cb353RUN
BUILD_HADOOP=false CORE_VER=v0.3.0 HADOOP_VER=3.3.2 HIREDIS_VER=1.0.2 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v3.6 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=v0.4.0 NVTAB_VER=v1.1.1 PROTOC_VER=3.19.4 RDKAFKA_VER=1.8.2 REDIS_PP_VER=1.3.3 ROCKSDB_VER=6.29.3 SYSTEMS_VER=v0.2.0 TF4REC_VER=v0.1.8 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /repos
05/11/2022 10:50 PM UTC
0b7edcee50e8ba04f3f0a89290292eb2b3a4931d6bc7dee01e64ee54dcd97fd1RUN
BUILD_HADOOP=false CORE_VER=v0.3.0 HADOOP_VER=3.3.2 HIREDIS_VER=1.0.2 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v3.6 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=v0.4.0 NVTAB_VER=v1.1.1 PROTOC_VER=3.19.4 RDKAFKA_VER=1.8.2 REDIS_PP_VER=1.3.3 ROCKSDB_VER=6.29.3 SYSTEMS_VER=v0.2.0 TF4REC_VER=v0.1.8 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm /usr/local/cuda/lib64/stubs/libcuda.so.1
05/11/2022 10:50 PM UTC
8e2fe249956f25a305fe85bd50405457e3a8812a6008642c1a3cef44ec97003cENV
PATH=/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:/opt/tensorrt/bin:/usr/local/cuda/bin:/usr/lib/x86_64-linux-gnu/:/opt/hadoop/bin:/opt/hadoop/sbin:/usr/local/hugectr/bin LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64:/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:/usr/local/hugectr/lib PYTHONPATH=:/usr/local/hugectr/lib
05/11/2022 10:50 PM UTC
08583d9f77cc67bd71570ee6790cd7a1a74ea3f553a0cfc20620af0eeed8a5f6RUN
BUILD_HADOOP=false CORE_VER=v0.3.0 HADOOP_VER=3.3.2 HIREDIS_VER=1.0.2 HUGECTR_DEV_MODE=false HUGECTR_HOME=/usr/local/hugectr HUGECTR_VER=v3.6 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=v0.4.0 NVTAB_VER=v1.1.1 PROTOC_VER=3.19.4 RDKAFKA_VER=1.8.2 REDIS_PP_VER=1.3.3 ROCKSDB_VER=6.29.3 SYSTEMS_VER=v0.2.0 TF4REC_VER=v0.1.8 _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 [[ -f "/usr/local/lib/libhdfs.so" ]]; then cmake -DCMAKE_BUILD_TYPE=Release -DSM="60;61;70;75;80" -DENABLE_MULTINODES=ON -DENABLE_HDFS=ON .. ; else cmake -DCMAKE_BUILD_TYPE=Release -DSM="60;61;70;75;80" -DENABLE_MULTINODES=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 ; fi
05/11/2022 10:50 PM UTC
fa4a6a10dec542ad0230ea331d0e957333437205365985a955c47734b2db8aadARG
HUGECTR_HOME=/usr/local/hugectr
05/11/2022 10:29 PM UTC
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