Skip to main content
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
    Merlin PyTorch Training
    Container
    NVIDIA
    Merlin PyTorch Training

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

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
    /bin/bash
    		04/07/2022 12:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4HEALTHCHECK
    &{["NONE"] "0s" "0s" "0s" '\x00'}
    		04/07/2022 12:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CORE_VER=v0.2.0 MODELS_VER=v0.3.0 NVTAB_VER=v1.0.0 SYSTEMS_VER=v0.1.0 TF4REC_VER=v0.1.7 rm -rf /opt/conda/share/jupyter/lab/staging/node_modules/node-fetch
    		04/07/2022 12:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CORE_VER=v0.2.0 MODELS_VER=v0.3.0 NVTAB_VER=v1.0.0 SYSTEMS_VER=v0.1.0 TF4REC_VER=v0.1.7 rm -rf /opt/conda/share/jupyter/lab/staging/node_modules/marked
    		04/07/2022 12:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CORE_VER=v0.2.0 MODELS_VER=v0.3.0 NVTAB_VER=v1.0.0 SYSTEMS_VER=v0.1.0 TF4REC_VER=v0.1.7 rm -rf /repos
    		04/07/2022 12:38 AM UTC
    sha256:68e235df0cab9e5938731ed6576efe12b7e17202f23fd88c9c00469fda525fd1RUN
    CORE_VER=v0.2.0 MODELS_VER=v0.3.0 NVTAB_VER=v1.0.0 SYSTEMS_VER=v0.1.0 TF4REC_VER=v0.1.7 git clone https://github.com/NVIDIA-Merlin/Merlin/ /Merlin
    		04/07/2022 12:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PYTHONPATH=:/core:/systems:/nvtabular:/transformers4rec:/models
    		04/07/2022 12:38 AM UTC
    sha256:e3a0e6ff6496a044be60dd3d8a0b8e3aa8a268b47f51e4e710c2a9e42e7bee22RUN
    CORE_VER=v0.2.0 MODELS_VER=v0.3.0 NVTAB_VER=v1.0.0 SYSTEMS_VER=v0.1.0 TF4REC_VER=v0.1.7 git clone https://github.com/NVIDIA-Merlin/Models.git /models/ &&
  cd /models/ &&
  git checkout ${MODELS_VER} &&
  pip install -e . --no-deps
    		04/07/2022 12:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PYTHONPATH=:/core:/systems:/nvtabular:/transformers4rec
    		04/07/2022 12:38 AM UTC
    sha256:bae17fb650970adc649a727a568f7508c9d919b84ddc91664c1bd0535671c4ceRUN
    CORE_VER=v0.2.0 MODELS_VER=v0.3.0 NVTAB_VER=v1.0.0 SYSTEMS_VER=v0.1.0 TF4REC_VER=v0.1.7 git clone https://github.com/NVIDIA-Merlin/Transformers4Rec.git /transformers4rec &&
  cd /transformers4rec/ &&
  git checkout ${TF4REC_VER} &&
  pip install -e . --no-deps
    		04/07/2022 12:38 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.