ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA
NVIDIA
Merlin Tensorflow Training
Container
NVIDIA
NVIDIA
Merlin Tensorflow Training

This container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with TensorFlow.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
/bin/bash
02/02/2022 10:38 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4HEALTHCHECK
&{["NONE"] "0s" "0s" "0s" '\x00'}
02/02/2022 10:38 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git echo $(du -h --max-depth=1 /)
02/02/2022 10:38 PM UTC
sha256:f4b0840b50ef29a00b415cd76042b3ec3374a31c9408ef1d8e266b3b8adb51a2RUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/fast-json-patch
02/02/2022 10:38 PM UTC
sha256:566f8f085871cc8dda888bd009d46584503699611a3ed8c64a634ef236899ac2RUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /repos
02/02/2022 10:38 PM UTC
sha256:61326a86be4fb592ce5c1df3ce291b61ce6a8216b7e1348bbf98418fa37dee39RUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git if [ "$HUGECTR_DEV_MODE" == "false" ]; then git clone https://${_CI_JOB_TOKEN}${_HUGECTR_REPO} build-env &&
  pushd build-env &&
  git fetch --all; if [ "$RELEASE" == "true" ] &&
  [ ${HUGECTR_VER} != "vnightly" ]; then git fetch --all --tags &&
  git checkout tags/${HUGECTR_VER}; else git checkout ${_HUGECTR_BRANCH}; fi; cd sparse_operation_kit &&
  python setup.py install &&
  popd &&
  rm -rf build-env; fi
02/02/2022 10:38 PM UTC
sha256:0e7bd4a870b121061b307689968097cff680c13a74559d8f9c88743062e32b1dRUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git ln -s /usr/lib/x86_64-linux-gnu/libibverbs.so.1 /usr/lib/x86_64-linux-gnu/libibverbs.so
02/02/2022 10:34 PM UTC
sha256:d3ff8460a51f7143e6d31589b79012a4e1b08f67500aa6b988225d6a70842c64RUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4 INSTALL_NVT=true MODELS_VER=vnightly NVTAB_VER=v0.10.0 RELEASE=true TF4REC_VER=v0.1.5 _CI_JOB_TOKEN= _HUGECTR_BRANCH=master _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git mkdir -p /usr/local/nvidia/lib64 &&
  ln -s /usr/local/cuda/lib64/libcusolver.so /usr/local/nvidia/lib64/libcusolver.so.10
02/02/2022 10:34 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
_CI_JOB_TOKEN=
02/02/2022 10:34 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
_HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git
02/02/2022 10:34 PM UTC
...